A container repository for containers includes a cabinet having an interior. A container holder is disposed in the interior of the cabinet. The container holder includes a container receiver and a container dispenser. The container receiver has a container interior sized and shaped to receive and hold the containers as a stack of containers. The container dispenser is arranged to remove a bottom-most container of the stack of containers from the stack of containers. A container transporter is at least partially disposed in the interior of the cabinet. The container transporter transports the containers after the containers are removed from the stack of containers.
An example computer system includes a transactional database configured to store multiple data sources each corresponding to one of multiple applications, a standby database configured to store multiple rule schemas and multiple data schemas, and processor hardware configured to execute instructions to monitor for a change to stored data in one of the multiple data sources, via a change data capture process, replicate data from the transactional database to the standby database in response to an update indicated by the change data capture process, identify encrypted data in at least one data object of an updated data table of one of the data schemas of the standby database, extract data from the at least one data object to store decrypted data, wherein the standby database is an external database for the data extraction engine, and reload the decrypted data to one of the data schemas of the standby database.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
A container repository for containers includes a cabinet having an interior. A container holder is disposed in the interior of the cabinet. The container holder includes a container receiver and a container dispenser. The container receiver has a container interior sized and shaped to receive and hold the containers as a stack of containers. The container dispenser is arranged to remove a bottom-most container of the stack of containers from the stack of containers. A container transporter is at least partially disposed in the interior of the cabinet. The container transporter transports the containers after the containers are removed from the stack of containers.
A method includes generating a base code embedding in a first vector space for a specified entity using at least one first machine learning model based on a set of codes corresponding to the entity from a claims datastore. The method includes generating an event embedding in a second vector space for the specified entity using a second machine learning model based on a set of historical events corresponding to the specified entity and the base code embedding, and generating a time embedding in a third vector space for the specified entity using a third machine learning model based on times between consecutive ones of the set of historical events and the base code embedding. The method includes generating an aggregated embedding for the specified entity based on the event embedding and the time embedding, and generating a prediction by supplying the aggregated embedding to a fourth machine learning model.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
5.
SYSTEMS AND METHODS FOR USING GENERATIVE ARTIFICIAL INTELLIGENCE (AI) TO GENERATE COMPUTER CODE AND STRUCTURED DATA
Apparatuses, systems, and methods relate to technology to identify an input request associated with a plurality of automatic processes, pre-process, with a first machine learning model, user data associated with the input request to generate first executable program code and a first data structure containing a part of the user data, and generate an output to execute the first executable program code based on the first data structure and the input request. The technology can further select a first automatic process from the plurality of automatic processes based on the output, and execute the first automatic process based on the first automatic process being selected.
A monitoring server is provided for learning event patterns in pharmaceutical order processing and identifying anomalous events based on learned event patterns. The monitoring server is configured to define a plurality of feeds of monitoring data from the monitored nodes using a monitoring link. The feeds of monitoring data are defined at least partially based on the monitoring vector definition. Each feed of monitoring data is associated with pharmaceutical order processing. The processor is additionally configured to determine a set of monitoring vector data for each of the plurality of feeds of monitoring data. The processor is also configured to identify a monitoring vector signature for each of the plurality of feeds. The processor is also configured to identify an anomalous data pattern. The processor is also configured to transmit an alert indicating that pharmaceutical order processing for the associated feed of monitoring data is anomalous.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
G06K 7/10 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation
G06K 7/14 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
G06Q 10/08 - Logistics, e.g. warehousing, loading or distributionInventory or stock management
A container repository for containers includes a cabinet having an interior. A container holder is disposed in the interior of the cabinet. The container holder includes a container receiver and a container dispenser. The container receiver has a container interior sized and shaped to receive and hold the containers as a stack of containers. The container dispenser is arranged to remove a bottom-most container of the stack of containers from the stack of containers. A container transporter is at least partially disposed in the interior of the cabinet. The container transporter transports the containers after the containers are removed from the stack of containers.
The bottle measuring device includes a jig that has a floor. At least one wall extends upwardly from the floor and partially surrounds a bottle receiving space. The jig also includes a plurality of measurement markers that are spaced vertically apart from one another on the at least one wall to indicate a fill level of the bottle when the bottle is in the bottle receiving space of the jig. The bottle measuring device can be used during filling of a medication bottle in a pharmacy setting.
A medication filling system includes at least one automatic dispensing device with a plurality of cells that contain a plurality of different types of medications for dispensing into prescription containers. The medication filling system also includes a bulk and prep area that has a plurality of bulk up containers with medications to refill the plurality of cells in the automatic dispensing device. The bulk up containers include wireless tags with data that includes at least the type and quantity of the medications contained in the respective bulk up containers. At least one wireless sensor is positioned at an opening between the bulk and prep area and the at least one automatic dispensing device. The at least one wireless sensor is configured to monitor each time one of the bulk up containers passes through the opening into or out of the bulk and prep area.
A61J 7/00 - Devices for administering medicines orally, e.g. spoonsPill counting devicesArrangements for time indication or reminder for taking medicine
Apparatuses, systems, and methods relate to technology to that includes a processor. The technology receives unstructured usage data from applications that execute on user devices, stores the unstructured usage data into a central database, where the unstructured usage data is in an unstructured data format, and retrieves the unstructured usage data from the central database. The technology further converts the unstructured usage data, that is retrieved from the central database, from the unstructured data format into a structured data format to generate structured usage data, stores the structured usage data into a central repository, and generates a current usage measurement based on the structured usage data that is stored in the central repository.
An example computer system includes memory hardware configured to store historical patient information, and processor hardware configured to execute instructions including accessing historical patient information associated with a patient, identifying a plurality of events in the historical patient information that satisfy one or more criteria, processing, by a first large language model (LLM), the plurality of events that satisfy the one or more criteria, to generate a historical health output associated with the patient, generating, for display in a graphical user interface, one or more interactive medical tiles associated with the plurality of events that satisfy the one or more criteria, according to the historical health output associated with the patient, receiving a selection of one of the interactive medical tiles, and presenting, in the graphical user interface, the plurality of events according to an organization criterion in response to receiving the selection of one of the interactive medical tiles.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
A packing system for packing products (e.g., medications) and other components into a container for shipping to customers is provided. The packing system includes a system controller that directs carrier devices along routes between task stations. The system controller can monitor the tasks performed by the task stations, the locations of the carrier devices, the tasks yet to be performed to complete packing of the containers at the task stations, and queues of other carrier devices at the stations. Based on this information, the system controller may direct the carrier devices to different stations and may change the task performed by or assigned to one or more of the stations.
A computer-implemented method for conducting failure mode effects analysis (FMEA) at a large scale includes generating a set of failure modes. The method includes determining an impact score for one of the set of failure modes. The method includes determining a probability score for one of the set of failure modes. The method includes determining a detectability score for one of the set of failure modes. The method includes calculating risk priority scores for the failure modes based on the impact score, the probability score, and the detectability score. The method includes ranking the failure modes according to the calculated risk priority scores. The method includes generating a report including the ranked failure modes.
Apparatuses, systems, and methods relate to technology to receive first data and second data from an internet-of-things device associated with a user, where the first data includes a measurement of the user. The technology also determines a user condition based on the received first data, determines a context associated with the user condition based on the received second data, determines a first action to mitigate the user condition based on the context, and provides the first action to a user device associated with the user, wherein the user device is to execute the first action.
G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
15.
LARGE LANGUAGE MODEL FOR AUTOMATED PRIOR AUTHORIZATION
A method for adapting a user interface includes accessing a data package. The method includes determining whether execution of an action based on the data package requires secondary authorization. The method includes, in response to a determination that the execution requires secondary authorization, identifying a set of inquiries and determining whether user data includes information associated with the set of inquiries. The method includes, in response to a determination that the user data includes information associated with the set of inquiries, determining a set of responses. The method includes transmitting a request for secondary authorization including the set of responses and a first subset of the user data. The set of responses is based on the first subset of the user data. The method includes transforming the user interface to display the set of responses, the set of inquiries, and the first subset of the user data.
An apparatus for liquid medication bottle-splitting is provided. The apparatus includes: a first dispensing section comprising a funnel-shaped hollow body with a wide inlet opening tapering to a narrow outlet; a second dispensing section comprising a second funnel-shaped hollow body with a second wide inlet opening tapering to a second narrow outlet; and a crossover channel connecting the first dispensing section to the second dispensing section, the crossover channel including a crossover opening extending a length of the crossover channel, and the crossover channel being angled to evenly distribute a flow of liquid medication into at least a first split portion in the first dispensing section and a second split portion in the second dispensing section; the first dispensing section adapted to dispense the first split portion, and the second dispensing section adapted to dispense the second split portion.
Example embodiments of the present disclosure include a method, system and computer-readable medium including receiving input data that is organized into a set of rows and a set of columns, maintaining a machine learning header model that is trained on tabular data with header rows, supplying the input data to generate header row identification data that identifies a set of header rows that is a subset of the set of rows, to generate column label data that applies a set of defined labels to the set of columns, predicting one of the set of defined labels for the column, determining a column confidence score, generating a notification seeking user feedback when the column confidence score is below a threshold for the column, applying user feedback to predict the one of the set of defined labels for the column, and generating output data that is organized into rows and columns.
A system and method for load balancing within a packing system may identify locations of carrier devices in the packing system based on optical communications between the carrier devices and route communication devices disposed at different locations along the routes of the packing system. The system and method can identify zones associated with different segments of the routes, determine whether a number and/or density of the carrier devices in a zone exceeds a threshold, and, responsive to the number and/or the density exceeding the threshold, (a) the carrier devices are directed to move to reduce the number and/or the density of the carrier devices and/or (b) the task performed by one or more of the task stations of the packing system is changed.
36 - Financial, insurance and real estate services
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Mail order and wholesale pharmacy services; cost management and containment for the health, prescription drug and medical benefit plans of others; regarding healthcare costs, benefits and pharmacy services; medical care cost management for the health, medical and prescription drug plans of government organizations Medical benefit management services; pharmacy benefit management services; medical insurance case and utilization review and insurance claims adjustment services for government healthcare purchasers, payors, and providers Advisory services and consultancy regarding healthcare; managed healthcare services; health care services; namely, disease management programs; behavioral health services; mental health services; providing information to patients in the field of administering medications and health care; telemedicine services
A system and method may monitor a stream of messages from plural different sources of medical records to identify a new or updated record of the medical records, identifying one or more suspect records from a system of record (SOR) database. The one or more suspect records are identified as being potential matches to the new or updated record that is identified. The system and method can determine that the one or more suspect records match the new or updated record, and can obtain a person entity profile related to the new or updated record from a person entity database. The system and method can merge the new or updated record with the one or more suspect records or splitting the new or updated record from the one or more suspect records based on the person entity profile that is obtained.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
21.
METHODS AND SYSTEMS FOR PROCESSING DIGITAL DOCUMENTS
Methods and systems for processing digital files are described. In one embodiment, a digital document processing subsystem monitoring a database location for a file to process, after identifying a file to process, identifying a location of one or more multiple-choice selection areas within the file, and determining whether each of the one or more multiple choice selection areas were marked by hand and storing results of the determination in a database.
Methods and systems for predicting medical signatures are provided. The methods and systems access a communication comprising a medicinal drug prescription associated with a patient, the medicinal drug prescription being provided in the communication by a healthcare professional. The methods and systems process, by a first machine learning model, the communication to extract a plurality of entities from the medicinal drug prescription and apply a second machine learning model to the plurality of entities to predict a medical signature. The predicted medical signature comprises directions for the patient to follow to take the medicinal drug. The methods and systems cause a label with the medical signature to be printed and applied to a container that includes the medicinal drug.
G06V 30/196 - Recognition using electronic means using sequential comparisons of the image signals with a plurality of references
G06V 30/226 - Character recognition characterised by the type of writing of cursive writing
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
23.
PHARMACEUTICAL ORDER PROCESSING SYSTEMS AND ASSOCIATED METHODS
A pharmaceutical order processing system, components thereof, and associated methods. The pharmaceutical order processing system includes an order processing device, a container former, and a pharmaceutical dispensing device. The order processing device receives a pharmaceutical order of one or more pharmaceuticals and determines a container volume for containing at least a portion of the one or more pharmaceuticals based on the one or more pharmaceuticals. The container former is communicatively coupled to the order processing device. The container former forms a pharmaceutical container having the container volume determined by the order processing device. The pharmaceutical dispensing device is also communicatively coupled to the order processing device. The pharmaceutical dispensing device dispenses said at least a portion of the one or more pharmaceuticals into the pharmaceutical container formed by the container former.
G16H 20/13 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered from dispensers
A61J 1/03 - Containers specially adapted for medical or pharmaceutical purposes for pills or tablets
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
24.
COMPUTER-AUTOMATED ANALYSIS AND VALIDATION SYSTEMS FOR COMPUTER-READABLE CODE FILES
A system includes processor hardware and memory hardware storing instructions. The instructions include, in response to receiving an input indicating a code file from a user device of a user, obtaining the code file, identifying a code language of the code file and a plurality of objects within the code file, and obtaining a set of rules. The instructions include, for each rule, applying the rule to each object to determine an adherence of the object to the rule or a violation of the object of the rule. The instructions include generating a report that indicates, for each rule and for each object, the adherence of the object to the rule or the violation of the object of the rule. The instructions include transmitting, for display on the user device, the generated report.
A cap feeder to supply caps for a bottle includes a cap track defining a cap pathway along which the caps move, one after another and a cap orientation detector arranged to be contacted by the caps as the caps move along the cap pathway. The cap orientation detector can be configured to detect when one cap of the caps is in a first orientation and is arranged to stop said one cap in the first orientation from continuing to move along the cap pathway. The cap can be ejected from the cap pathway. The cap orientation detector can be configured to permit one cap of the caps in a second orientation to continue to move along the cap pathway, past the cap orientation detector. In an example, the cap orientation detector is configured to rotate about an axis of rotation.
B65G 47/08 - Devices for feeding articles or materials to conveyors for feeding articles from a single group of articles arranged in orderly pattern, e.g. workpieces in magazines spacing or grouping the articles during feeding
Implementing Service Level Agreement (SLA) requirements for batch processes. An enterprise workflow platform receives the SLA requirements via a batch administration form for scheduling the batch processes. The enterprise workflow platform persists the SLA requirements in a knowledge base. A batch monitoring tool is integrated with the enterprise workflow platform to retrieve the SLA requirements from the knowledge base and then measure performance of the schedule batch processes against the SLA requirements.
H04L 41/5025 - Ensuring fulfilment of SLA by proactively reacting to service quality change, e.g. by reconfiguration after service quality degradation or upgrade
H04L 41/50 - Network service management, e.g. ensuring proper service fulfilment according to agreements
H04L 43/045 - Processing captured monitoring data, e.g. for logfile generation for graphical visualisation of monitoring data
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Health care services, namely, providing prepaid healthcare services through a managed care organization of medical doctors and hospitals and other health care providers.; Health care services, namely, integrated healthcare services with a network of health care providers including health care rendered through health maintenance organization and preferred provider organizations, namely medical, dental, hospital, home health care, preventive health care treatment, physical and mental therapy services
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Retail pharmacy services; specialized pharmacy services for patients with particular medical conditions; specialized pharmacy services for infertility medications, specialty pharmacy medications, and non-specialty pharmacy medications; pharmaceutical cost management; patient care management services Medical and pharmaceutical consultation; providing health care information
30.
AUTOMATED COMPRESSION OF LOGICAL RULE SETS INTO EXECUTABLE FORM
A computerized method includes initiating, via a user, an operation on logical descriptive data stored in a storage device, the logical descriptive data includes a set of uncompressed rules each including a set of conditions expressed as a Boolean algebraic expression. The method includes determining whether each of the uncompressed rules includes a singleton rule or a nested rule. The method includes, in response to at least one of the uncompressed rules including a nested rule, compressing the nested rule to form a compressed rule, replacing the nested rule with the compressed rule, and updating the logical descriptive data to include the compressed rule.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing on-line non-downloadable software for assisting health plan members, and employers’ clinical or analytic teams with cost and clinical opportunity identification and analysis relating to prescription and medical claims drug plans; Providing on-line non-downloadable software to enable health plan members and employers’ clinical or analytic teams to search, query, quantify and qualify data, generate reports on patients, providers, pharmacies, health plans, prescriptions, organizations, drugs, diagnosis, procedures, and claims.
Method starts with a processor receiving configuration settings including an identified task, a relationship data, and a criticality value. Processor initializes a communication session with an agent client device. The communication session is between a virtual caller associated with the system and the agent client device. Processor then processes an audio signal of the communication session to generate an agent utterance and generates a transcribed agent utterance based on the agent utterance using a speech-to-text processor. Processor generates a virtual caller utterance using a task-specific virtual caller neural network associated with the identified task. The virtual caller utterance can be generated based on the transcribed agent utterance. Processor then causes the virtual caller utterance to be played back in the communication session to the agent client device. Other embodiments are disclosed herein.
H04M 11/10 - Telephonic communication systems specially adapted for combination with other electrical systems with dictation recording and playback systems
33.
MACHINE-LEARNING-AUTOMATED RECOGNITION AND LABELLING OF COLUMNAR DATA
A computer-implemented method includes receiving input data that is organized into a set of rows and a set of columns. A column of the set of columns includes data associated with a set of product types. A first row of the set of rows includes data associated with an individual of a set of individuals and a first product type of the set of product types. A second row of the set of rows includes data associated with the individual and a second product type of the set of product types. The method includes splitting the input data into a first data structure associated with the first product type and a second data structure associated with the second product type. The method includes generating output data that is organized into rows and columns by merging the first data structure and the second data structure into a unified data structure.
A fulfillment system is provided and includes a perishable drug filling system and a non-perishable drug filling system. A shipping station is provided for delivering the coolers and the boxes to at least one delivery service. A conveyor is configured to move the boxes and the coolers from the drug filling systems to the shipping station. A decision station is located along the conveyor and is configured to determine if a container on the conveyor is a cooler or a box. The conveyor is configured to direct the coolers to a shrink wrap station and to direct the boxes to the shipping station while bypassing the shrink wrap station. The shrink wrap station is configured to apply a wrapper around the cooler and apply heat to the wrapper to shrink the wrapper around the cooler with the wrapper having a transparent section over a label on the cooler.
B65G 1/137 - Storage devices mechanical with arrangements or automatic control means for selecting which articles are to be removed
B65B 53/02 - Shrinking wrappers, containers, container covers or container cover securing members during or after packaging by heat
B65B 57/04 - Automatic control, checking, warning or safety devices responsive to absence, presence, abnormal feed, or misplacement of binding or wrapping material, containers, or packages and operating to control, or to stop, the feed of such material, containers, or packages
B65B 59/00 - Arrangements to enable machines to handle articles of different sizes, to produce packages of different sizes, to vary the contents of packages or to give access for cleaning or maintenance purposes
B65G 43/08 - Control devices operated by article or material being fed, conveyed, or discharged
09 - Scientific and electric apparatus and instruments
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Mail order and Pharmaceutical services, namely, processing online and telephone prescription orders in retail and central fill pharmacies; drug utilization review services; pharmaceutical cost management services; Strategic business analysis and business advice regarding pharmacy benefit management, pharmaceutical end-user behavior, healthcare use behavior; market study and analysis of healthcare, healthcare benefits, and pharmacy benefits effecting health behavior change and choice at the patient level; market analysis and reporting of the effectiveness of tailored health messaging and support at the patient level; providing information in the field of pharmaceutical cost management as provided to pharmacy benefit management services clients, consultants and brokers; conducting and arranging business conferences in the field of pharmacy benefit management; Retail pharmacy services featuring home delivery of prescription medications; Mail order pharmacy services Downloadable computer application software for providing information regarding prescription medications; Downloadable computer application software for pharmacy patients to receive information and updates regarding pharmacy orders, and renewals and alerts regarding prescription medications Advisory services and consultancy regarding healthcare; Healthcare services, namely, wellness and disease management programs; Medicare prescription coverage plan services, namely, disease management programs and complex case management services in the nature of providing health consultation services to patients with chronic conditions regarding medication compliance, and providing information regarding health and safety issues regarding chronic conditions; providing medical information and analysis in the fields of healthcare, pharmaceuticals; providing information in the field of healthcare as provided to pharmacy benefit management services clients, consultants and brokers
A risk mitigation architecture for new application programming interface service adoption includes a client interface configured to generate an API call, a legacy API module configured to generate a legacy API result in response to receiving the API call, a new API module configured to generate a new API result in response to receiving the API call, and a delegation module configured to selectively return the legacy API result to the client interface or the new API result to the client interface, according to at least one specified feature selector. The architecture includes a data comparator in communication with the delegation module, the data comparator configured to compare the legacy API result with the new API result according to at least one specified comparison configuration, to generate an API comparison result indicative of the legacy API result and the new API result having same or different output data.
Methods and systems for automating copy-paste operations are provided. The methods and systems generate for display a first graphical user interface (GUI) comprising one or more fields and receive user input associated with the first GUI. The methods and systems, in response to receiving the user input, analyze the one or more fields of the first GUI using a machine learning model to generate one or more copy-paste operations. The methods and systems, in response to receiving the user input, present a prompt on the first GUI comprising the one or more copy-paste operations and automatically copy data displayed in the one or more fields to one or more fields of a database.
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
G06F 9/451 - Execution arrangements for user interfaces
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Medical services, namely, urgent care, medical care, everyday care, behavioral care, therapy, medical management through psychiatry, primary care, dermatology, digital coaching, consultation on women’s health men’s health, and weight management all provided through telemedicine
Distributorship services in the field of specialty pharmaceuticals, biologics, branded drugs, generics, vaccines, infused medications and ancillary supportive care products
Method for generating user interface that indicates medication changes in medication starts with a processor detecting a medication change event. Processor retrieves medication information based on the medication change event including images of two medications. Processor generates color difference output using a color neural network, image of first medication and second medication. Color difference output comprises information on a difference in hue, saturation or color distribution. Processor generates medication appearance difference output using medication appearance neural network, image of first medication and second medication. Medication appearance difference output comprises information on a difference in shape, segmentation or form. Processor generates a differential record using the color difference output and medication appearance difference output. Processor causes medication change user interface to be displayed that comprises medication images and color and appearance descriptions of the medication which are displayed to emphasize differences identified in the differential record. Other embodiments are disclosed herein.
A61J 7/00 - Devices for administering medicines orally, e.g. spoonsPill counting devicesArrangements for time indication or reminder for taking medicine
G06V 10/22 - Image preprocessing by selection of a specific region containing or referencing a patternLocating or processing of specific regions to guide the detection or recognition
G06V 10/56 - Extraction of image or video features relating to colour
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Mail order and retail pharmacy services; Providing information regarding consumer products and pricing in the field of pharmaceuticals Providing information in the fields of healthcare and information regarding the therapeutic properties of pharmaceuticals; providing information in the field of diet and nutrition, educational content about medication and pharmaceuticals; providing clinical healthcare services
09 - Scientific and electric apparatus and instruments
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Mail order and Pharmaceutical services, namely, processing online and telephone prescription orders in retail and central fill pharmacies; drug utilization review services; pharmaceutical cost management services; Strategic business analysis and business advice regarding pharmacy benefit management, pharmaceutical end-user behavior, healthcare use behavior; market study and analysis of healthcare, healthcare benefits, and pharmacy benefits effecting health behavior change and choice at the patient level; market analysis and reporting of the effectiveness of tailored health messaging and support at the patient level; providing information in the field of pharmaceutical cost management as provided to pharmacy benefit management services clients, consultants and brokers; conducting and arranging business conferences in the field of pharmacy benefit management; Retail pharmacy services featuring home delivery of prescription medications; Mail order pharmacy services Downloadable computer application software for providing information regarding prescription medications; Downloadable computer application software for pharmacy patients to receive information and updates regarding pharmacy orders, and renewals and alerts regarding prescription medications Advisory services and consultancy regarding healthcare; Healthcare services, namely, wellness and disease management programs; Medicare prescription coverage plan services, namely, disease management programs and complex case management services in the nature of providing health consultation services to patients with chronic conditions regarding medication compliance, and providing information regarding health and safety issues regarding chronic conditions; providing medical information and analysis in the fields of healthcare, pharmaceuticals; providing information in the field of healthcare as provided to pharmacy benefit management services clients, consultants and brokers
09 - Scientific and electric apparatus and instruments
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Mail order and Pharmaceutical services, namely, processing online and telephone prescription orders in retail and central fill pharmacies; drug utilization review services; pharmaceutical cost management services; Strategic business analysis and business advice regarding pharmacy benefit management, pharmaceutical end-user behavior, healthcare use behavior; market study and analysis of healthcare, healthcare benefits, and pharmacy benefits effecting health behavior change and choice at the patient level; market analysis and reporting of the effectiveness of tailored health messaging and support at the patient level; providing information in the field of pharmaceutical cost management as provided to pharmacy benefit management services clients, consultants and brokers; conducting and arranging business conferences in the field of pharmacy benefit management; Retail pharmacy services featuring home delivery of prescription medications; Mail order pharmacy services Downloadable computer application software for providing information regarding prescription medications; Downloadable computer application software for pharmacy patients to receive information and updates regarding pharmacy orders, and renewals and alerts regarding prescription medications Advisory services and consultancy regarding healthcare; Healthcare services, namely, wellness and disease management programs; Medicare prescription coverage plan services, namely, disease management programs and complex case management services in the nature of providing health consultation services to patients with chronic conditions regarding medication compliance, and providing information regarding health and safety issues regarding chronic conditions; providing medical information and analysis in the fields of healthcare, pharmaceuticals; providing information in the field of healthcare as provided to pharmacy benefit management services clients, consultants and brokers
46.
METHOD AND SYSTEM FOR AUTOMATED RELATIONSHIP DISCOVERY IN A PHARMACEUTICAL NETWORK
A system and method for automated relationship discovery in a pharmaceutical network may include analyzing human-readable text in messages associated with computing devices in a pharmaceutical network. The system and method may include determining a relationship between a first computing device of the computing devices and one of (i) a first computer program operated by the first computing device or (ii) a second computing device of the computing devices, based on the analysis of the human-readable text, and updating a configuration management database (CMDB) to include a representation of the relationship that is determined.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
47.
Machine-learning-automated recognition and labelling of columnar data
A computer-implemented method includes receiving input data that is organized into a set of rows and a set of columns. The method includes maintaining a machine learning header model that is trained on tabular data with header rows. The method includes supplying the input data as input to the machine learning header model to generate header row identification data that identifies a set of header rows that is a subset of the set of rows. The method includes maintaining a machine learning column model that is trained on tabular data. The method includes supplying the header row identification data and features of the input data to the machine learning column model to generate column label data that applies a set of defined labels to the set of columns. The method includes generating output data that is organized into rows and columns.
A medication packaging system can include a tray with a slot and a literature receiving area to hold literature in a position above the slot, and a robotic arm with a literature grabbing mechanism that can have a plurality of fingers that extend parallel to one another. The plurality of fingers including a central finger and a pair of outer fingers that are located on opposite sides of the central finger which are relatively movable between a disengaged position on one side of the slot of the tray to an engaged position at least partially on the other side of the slot to engage and fold the literature in the literature receiving area of the tray. The robotic arm can move the literature and place it in a shipping bag or container.
B65B 25/14 - Packaging paper or like sheets, envelopes, or newspapers, in flat, folded, or rolled form
B65B 35/16 - Feeding, e.g. conveying, single articles by grippers
B65B 35/58 - Turning articles by positively-acting means, e.g. to present labelled portions in uppermost position
G16H 20/13 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered from dispensers
Systems and methods for removing a cap or lid from a container are disclosed. The systems include a decapper for removing a cap from a body of a container. The decapper includes a base configured to rest on a support surface and a prime mover supported by the base. A cap remover is supported by the base and is rotatable relative to the base about an axis of rotation. The cap remover is arranged to engage the cap of the container. The prime mover is operatively coupled to the cap remover to rotate the cap remover about the axis of rotation to remove the cap from the body of the container when the cap is engaged with the cap remover. The cap remover is arranged relative to the base such that the axis of rotation is oriented generally horizontally when the base rests on the support surface.
B67B 7/18 - Hand- or power-operated devices for opening closed containers for removing threaded caps
50.
SYSTEMS AND METHODS FOR IMPROVING INTERACTIONS OF INSURANCE PROVIDERS, PRESCRIBING HEALTHCARE PROFESSIONALS, AND MEMBERS ASSOCIATED WITH A HIGH VOLUME PHARMACY
A method includes receiving prescription data associated with a plurality of prescriptions written by a prescribing healthcare professional and determining a prescriber score for the prescribing healthcare professional based on the prescription data. The method also includes determining a prescription product score for each prescription product, retrieving member data, and determining a member score for each respective member. The method also includes determining a prescriber propensity score for the prescribing healthcare professional, and, in response to a determination that the prescriber propensity score is greater than a first threshold, identifying respective members having a member score that is greater than a second threshold, and generating, for display, an output indicating at least the prescriber propensity score and a list of identified respective members.
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
51.
SYSTEMS AND METHODS FOR IMPROVING INTERACTIONS OF INSURANCE PROVIDERS, PRESCRIBING HEALTHCARE PROFESSIONALS, AND MEMBERS ASSOCIATED WITH A HIGH VOLUME PHARMACY
A method includes receiving prescription data associated with a plurality of prescriptions written by a prescribing healthcare professional and determining a prescriber score for the prescribing healthcare professional based on the prescription data. The method also includes determining a prescription product score for each prescription product, retrieving member data, and determining a member score for each respective member. The method also includes determining a prescriber propensity score for the prescribing healthcare professional, and, in response to a determination that the prescriber propensity score is greater than a first threshold, identifying respective members having a member score that is greater than a second threshold, and generating, for display, an output indicating at least the prescriber propensity score and a list of identified respective members.
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
52.
SYSTEMS AND METHODS FOR IMPROVING INTERACTIONS OF INSURANCE PROVIDERS, PRESCRIBING HEALTHCARE PROFESSIONALS, AND MEMBERS ASSOCIATED WITH A HIGH VOLUME PHARMACY
A method includes receiving prescription data associated with a plurality of prescriptions written by a prescribing healthcare professional and determining a prescriber score for the prescribing healthcare professional based on the prescription data. The method also includes determining a prescription product score for each prescription product, retrieving member data, and determining a member score for each respective member. The method also includes determining a prescriber propensity score for the prescribing healthcare professional, and, in response to a determination that the prescriber propensity score is greater than a first threshold, identifying respective members having a member score that is greater than a second threshold, and generating, for display, an output indicating at least the prescriber propensity score and a list of identified respective members.
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
53.
METHODS AND APPARATUSES FOR ENGAGING A PRESS-IN BOTTLE ADAPTER FROM A BOTTLE
A removal tool including a key. The key including an actuator including a handle. The handle extending a first direction. The key also including a protrusion defining a plurality of threads. The protrusion coupled with the actuator. The protrusion extending a second direction away from the handle. The first direction is non-parallel with the second direction. The removal tool also includes a removable cap defining an aperture centrally located therein. The removable cap is configured to operably couple with a neck of a bottle.
B25B 27/04 - Hand tools or bench devices, specially adapted for fitting together or separating parts or objects whether or not involving some deformation, not otherwise provided for for connecting objects by press fit or detaching same inserting or withdrawing keys
B25B 27/02 - Hand tools or bench devices, specially adapted for fitting together or separating parts or objects whether or not involving some deformation, not otherwise provided for for connecting objects by press fit or detaching same
Methods and systems for performing dose regimen modification are provided. The methods and systems perform operations comprising: receiving prescription related data for treating a patient with an expected level of efficacy, the prescription related data comprising medication regimen information including dose and interval; determining, using a model, a first amount of drug waste based on the prescription related data; comparing the first amount of drug waste to a threshold value; and in response to determining that the first amount of drug waste transgresses the threshold value, identifying an alternate medication regimen that is associated with a treatment having a given level of efficacy corresponding to the expected level of efficacy, the alternate medication regimen being associated with a second amount of drug waste that is lower than the first amount of drug waste; and triggering a notification associated with the alternate medication regimen.
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
55.
METHODS AND SYSTEMS FOR AUTOMATIC APPEAL AUTHORIZATION USING MACHINE LEARNING ALGORITHM
Methods and systems for selecting a deep learning/machine learning model are described. In one embodiment, a plurality of models are optimized by addressing class imbalances among a first subset of records, each of the plurality of models are trained using the first subset of records, each of the plurality of models are implemented to predict a value of respective known target columns in each of a second subset of records, respective success rates for each of the plurality of models at predicting the respective known target columns for each of the second subset of records are determined, a first of the plurality of models having a highest success rate is selected, and the first of the plurality of models is implemented to decide a target column of a received authorization request based on predictor columns in the received authorization request.
A modeling computing device for predicting relative patient hazards based on predicted patient pharmaceutical adherence is provided. The modeling computing device includes a processor configured to receive a set of adherence data associated with adherence to a pharmaceutical prescription by a patient. The processor is also configured to determine a set of predictive adherence scores and determine a variability score associated with the set of predictive adherence scores. The processor is further configured to integrate the set of predictive adherence scores and the variability score into a feature value. The processor is also configured to identify a hazard regression model and to apply the feature value to the hazard regression model to generate an integrated patient hazard model. The processor is also configured to process the integrated patient hazard model to determine a risk level associated with the patient, and transmit an alert based on the risk level.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
57.
Computerized aggregation and distribution architecture for digital health infrastructure
A digital health solution system includes: a virtual pharmacy including one or more processors configured to operate a web portal for user devices via a network, the web portal serving as a marketplace for digital health solution applications available for download by and activation on user devices; a digital health marketplace including one or more processors configured to, in response to receipt of user input from a user device: determine activation criteria for a selected one of the digital health solution applications; and transmit the activation criteria to the virtual pharmacy, where the one or more processors of the virtual pharmacy are configured to transmit the activation criteria to the user device via the network; and where the user device is configured to, using the activation criteria, at least one of download and activate the selected one of the digital health solution applications.
G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
A method of transmitting automated communications within an integrated application system architecture includes identifying, by processor hardware, each of multiple applications in an integrated application system architecture. For each identified application, the method includes obtaining at least one input to the identified application and at least one output to the identified application, defining a result set for the identified application, and storing the result set an as entry in a result map set of memory hardware. The method includes determining a result mesh according to each result set stored in the result map set, receiving an entity processing request, executing, via a first one of the multiple applications, the at least one workflow process associated with the first one of the multiple applications, to process the entity processing request and generate a first application process result, and transmitting an automated communication to a second one of the multiple applications.
A mail-order drug delivery system includes an order processing device configured to determine a first shipping mode and a corresponding first shipping carrier, generate an expected shipping duration associated with delivery of a drug, determine an origin forecasted temperature, determine a destination forecasted temperature, associate a shipping container with the drug to contain the drug, access temperature model data associated with the shipping container; and determine a predicted temperature of the drug at the shipping destination. The determination is based on forecasted temperatures, the expected shipping duration, the temperature model data, a next pickup time, a storage location of the drug, and a time difference between packing and the next pickup time. The system includes a packing device configured to receive the drug from a transport mechanism and selectively package the drug within the shipping container in response to the predicted temperature meeting a temperature-related storage requirement of the drug.
An edible receptacle for pharmaceuticals, components thereof, and associated methods. The edible pharmaceutical receptacle includes a plurality of pharmaceuticals including different first and second pharmaceuticals and an edible pharmaceutical card. The edible pharmaceutical card includes a plurality of edible dosing sections joined together. The plurality of edible dosing sections include a first edible dosing section directly joined to a second edible dosing section. The first and second edible dosing sections are arranged to be manually broken apart to separate the first and second edible dosing sections from one another. The first edible dosing section contains the first pharmaceutical of the plurality of pharmaceuticals and the second edible dosing section contains the second pharmaceutical of the plurality of pharmaceuticals.
A23L 29/30 - Foods or foodstuffs containing additivesPreparation or treatment thereof containing carbohydrate syrupsFoods or foodstuffs containing additivesPreparation or treatment thereof containing sugarsFoods or foodstuffs containing additivesPreparation or treatment thereof containing sugar alcohols, e.g. xylitolFoods or foodstuffs containing additivesPreparation or treatment thereof containing starch hydrolysates, e.g. dextrin
A23P 20/20 - Making of laminated, multi-layered, stuffed or hollow foodstuffs, e.g. by wrapping in preformed edible dough sheets or in edible food containers
A61K 9/00 - Medicinal preparations characterised by special physical form
B33Y 80/00 - Products made by additive manufacturing
B65B 1/02 - Machines characterised by the incorporation of means for making the containers or receptacles
B65B 1/04 - Methods of, or means for, filling the material into the containers or receptacles
B65B 61/02 - Auxiliary devices, not otherwise provided for, for operating on sheets, blanks, webs, binding material, containers or packages for perforating, scoring, or applying code or date marks on material prior to packaging
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
36 - Financial, insurance and real estate services
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
45 - Legal and security services; personal services for individuals.
Goods & Services
Downloadable software application for smartphones, tablets and computers, relating to mail order and wholesale pharmacy services, namely, software for reviewing pharmacy pricing information, obtaining and checking the status of prior authorizations, ordering prescription medication refills, tracking prescription medication orders, reviewing prescription medication information, prescription drug cost management and containment, prescription drug formulary cost management, business data analyzing and reporting, drug and healthcare utilization and review, computerized database management and data processing, electronic data collection and data submission for business purposes, insurance claim auditing relating to fraud waste and abuse, tracking, monitoring, assessing and analyzing information and statistics regarding patient prescription drug use, medical care, and healthcare habits to identify potential cost savings and clinical benefits, collection and analysis of quality metric data for health care providers, insurance companies and health care payors for business purposes, medical benefit management, pharmacy benefit management, medical insurance case and utilization review and insurance claims adjustment, financial risk analysis and evaluation to identify and estimate future potential health costs and likelihood of clinical outcomes, medical utilization review, reporting and verification, optimizing healthcare utilization and financial risk for healthcare payers, assisting physicians in making clinical decisions, and analyzing data to help health care providers track clinical decisions and develop best practices, managing the quality and cost of healthcare, collecting, managing, tracking, analyzing, and reporting data in the pharmaceutical, medical, healthcare, and life sciences fields and in the field of insurance and benefits, collection and management of healthcare and life sciences data, collecting, managing, and analyzing clinical trial data, health risk assessment and profiling for use in the field of preventative health, electronic health data storage, data mining, and the collection, editing, organizing, modifying, book marking, transmission, storage and sharing of data and information in the field of healthcare. Mail order retail services in relation to pharmaceutical products; wholesale pharmacy services; cost management and containment for the health, prescription drug and medical benefit plans of others; prescription drug formulary cost management services; business consulting services regarding healthcare costs, benefits and pharmacy services; business services provided to the healthcare industry for business purposes, namely, business data analyzing and reporting services in the fields of healthcare, pharmaceuticals, and consumer behavior; drug and healthcare utilization and review services for health care providers, insurance companies and health care payors for business purposes; medical care cost management for the health, medical and prescription drug plans of others; providing a web based online portal featuring medical cost management data and analytics information related to the pharmaceutical, medical, healthcare, and life sciences fields; computerized database management and data processing services in the pharmaceutical, medical, healthcare, healthcare insurance and health plan benefits, and life sciences fields; electronic data collection and data submission services for business purposes in the fields of medicine, life sciences, insurance and healthcare; insurance and health plan benefits claims auditing relating to fraud waste and abuse; tracking, monitoring, assessing and analyzing information and statistics regarding patient prescription drug use, medical care, and healthcare habits, to identify potential cost savings and clinical benefits; Collection and analysis of quality metric data for health care providers, insurance companies and health care payors for business purposes; cost management of health care services provided by others; business consulting in the fields of organization and coordination of health care services. Medical benefit management services; pharmacy benefit management services; medical insurance case and utilization review and insurance claims adjustment services for healthcare purchasers and payors and providers; administration of managed health care plans and pharmacy and medical benefit plans; Financial risk analysis and evaluation services relating to identifying and estimating future potential health costs, and likelihood of clinical outcomes; insurance underwriting in the fields of life, medical, and health. Software as a service (SaaS) services featuring software for medical utilization review, reporting and verification; software as a service (SaaS) services featuring software for optimizing healthcare utilization and financial risk for healthcare payers, assisting physicians in making clinical decisions, and analyzing data to help health care providers track clinical decisions and develop best practices; providing online non-downloadable software for use in managing the quality and cost of healthcare; providing online non-downloadable software for use in obtaining prior authorizations; software as a service (SaaS) services featuring software for use in managing medical and pharmacy benefits; providing online, non-downloadable, software application for medical billing for physicians and health care institutions; providing online, non-downloadable software for use in data analytics; application services provider, namely, hosting, managing, developing, analyzing, and maintaining applications, software and web sites for use by others in the fields of healthcare benefits programs, employee productivity and risk management; providing online, non-downloadable computer software used for accessing, collecting, managing, tracking, analyzing, and reporting data in the pharmaceutical, medical, healthcare, and life sciences fields and in the field of insurance and benefits; providing temporary use of online, non-downloadable software for collection and management of healthcare and life sciences data; providing temporary use of online, non-downloadable computer software for collecting, managing, and analyzing clinical trial data; providing temporary use of online non-downloadable software for health risk assessment and profiling for use in the field of preventative health; data warehousing services featuring health data; consulting in the field of data warehousing featuring health data; data mining and data mining consulting services; providing temporary use of non-downloadable computer software for the collection, editing, organizing, modifying, book marking, transmission, storage and sharing of data and information in the field of healthcare. Advisory services and consultancy regarding healthcare; managed healthcare services; health care services, namely, disease management programs; behavioral health services; providing information to patients in the field of administering medications and health care; genetic counseling; health consulting in the pharmaceutical, medical, healthcare, and life sciences fields; in home health care and in home health testing, namely, providing medical testing of fitness and medical consultations to individuals to help them make health, wellness, and nutritional changes in their daily living to improve health and lower costs. Fraud detection services in the field of health care insurance, namely, compiling and analyzing statistical health data in order to uncover and identify health care fraud and claims errors.
63.
SMART ORDER SCHEDULING LEVERAGING REAL-TIME FULFILLMENT SITE CAPACITY DATA
Apparatuses, systems, and methods relate to technology to receive an electronic request from a user device of a user to fill a prescription, identify that the prescription is associated with a first medicine, identify a first pharmacy that is capable of providing the first medicine, and predict site capacities for the first pharmacy for a plurality of dates. The technology further determines a subset of dates from the plurality of dates based on the site capacities, determines delivery dates for the first medicine based on the subset of dates, and provides the delivery dates to the user device.
Methods and systems are provided for performing operations comprising: accessing, by one or more processors, a first set of data from a first source and a second set of data from a second source; extracting, based on a key, a first subset of data from the first set of data and a second subset of data from the second set of data; generating a first Merkle tree based on the first subset of data and a second Merkle tree based on the second subset of data; comparing a first node from the first Merkle tree with a corresponding second node from the second Merkle tree; and identifying one or more differences between the first subset of data and the second subset of data in response to determining that the first node fails to match the second node.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
A method for streaming data pipelines includes receiving, at a first update application programming interface, a global unique identifier corresponding an entity and information associated with the entity. The method also includes determining whether the global unique identifier exists in an entity database, the entity data being configured to store information associated with one or more entities and, in response to a determination that the global unique identifier does not exist in the entity database, performing a write command to write the global unique identifier to a registry. The method also includes determining whether the write command was successful, and, in response to a determination that the write command was unsuccessful: retrieving the global unique identifier written to the registry by a second update application programming interface; and updating the entity database with information associated with the global unique identifier.
The medication container includes a receptacle that has an inner space for holding medications. The cap assembly is coupled with the receptacle for retaining the medications in the inner space. The cap assembly includes at least one passage that can be selectively opened and closed and includes at least one medication sensor that is configured to detect any medications travelling through the passage and out of the receptacle in a contactless manner. A microprocessor is in electrical communication with the at least one medication sensor and with a memory. The microprocessor is configured to record data to the memory in response to the at least one medication sensor detecting a medication travelling through the passage. A wireless module is in electrical communication with the microprocessor for uploading the data to an external device.
B65D 51/24 - Closures not otherwise provided for combined with auxiliary devices for non-closing purposes
B65D 83/04 - Containers or packages with special means for dispensing contents for dispensing annular, disc-shaped, spherical or like small articles, e.g. tablets or pills
A computer-implemented method for generating one or more summarizations of a large volume of feedback data includes obtaining the feedback data. The feedback data is provided from disparate sources. The method includes separating the feedback data into a set of sentences, generating feedback embeddings of the set of sentences by providing the set of sentences to a set of machine models, providing topic input data to the set of machine models, computing sentence similarity of the feedback embeddings, calculating an importance score for each sentence of the set of sentences, ranking the set of sentences according to their respective importance scores, selecting one or more subsets of the set of sentences to generate the one or more summarizations, generating a visual representation of the one or more summarizations, and displaying the visual representation in an interactive user interface.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G06Q 50/22 - Social work or social welfare, e.g. community support activities or counselling services
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
09 - Scientific and electric apparatus and instruments
36 - Financial, insurance and real estate services
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Medical benefit management services, namely, cost management for health benefit plans of others Provision of access to data or documents stored electronically in central files for remote consultation in the field of personalized health solutions and simplifying the navigation of benefits and care delivery options; Providing multiple-user access to data on the Internet in the field of personalized health solutions and simplifying the navigation of benefits and care delivery options Downloadable software and applications for use by others in the fields of healthcare and prescription benefits programs, employee productivity and risk management, namely for managing healthcare benefits programs offered by the user's employer, adding , editing, and maintaining user profile information, reviewing health-related content, and participating in and tracking wellness activities; providing navigation to clinical and non-clinical benefits offered by employers; Leverage data to provide benefit information and personal guidance to individuals from employer; providing a platform to enable individuals to order prescription refills and find medical providers Medical benefit management services, namely, pharmaceutical benefit management services, insurance administration of prescription drug benefit plans, providing counseling and consulting in the field of healthcare insurance benefits; pharmacy benefit management services; administration of managed pre-paid health care plans and pharmacy and medical benefit plans in the nature of preferred provider plans in the field of healthcare; care advocate services, namely, assisting customers with access to managed health care and benefits in the nature of administration and organizing pre-paid health care plans Software as a service for use by others in the fields of healthcare benefits programs, employee productivity and risk management, namely for managing healthcare benefits programs offered by the user's employer, adding, editing, and maintaining user profile information, reviewing health-related content, and participating in and tracking wellness activities; providing navigation to clinical and non-clinical benefits offered by employers; leverage data to provide benefit information and personal guidance to individuals from employer; providing a platform to enable individuals to order prescription refills and find medical providers Advisory services and consultancy regarding healthcare; managed healthcare services; health care services, namely, disease management programs; behavioral health services; providing information to patients in the field of administering medications and health care; health consulting in the pharmaceutical, medical, healthcare, and life sciences fields; healthcare and in home health medical testing services; managed health care services in the nature of assisting customers with access to managed health care and benefits
69.
Systems and methods for pharmaceutical container processing
A pharmaceutical container processing system for removing pharmaceuticals from a batch of containers includes a cutter to cut open the batch of containers. A holder has a plurality of container receivers defining container receiving spaces sized and shaped to hold the batch of containers. One or both of the holder or the cutter are movable between a loading position and a cutting position. In the loading position, the plurality of container receiving spaces are accessible to receive the batch of containers. In the cutting position, the cutter is in registration with the batch of containers held by holder to cut the batch of containers.
B65B 69/00 - Unpacking of articles or materials, not otherwise provided for
B65B 21/18 - Introducing or removing groups of bottles, for filling or emptying containers in one operation using grippers engaging bottles, e.g. bottle necks
B65B 59/00 - Arrangements to enable machines to handle articles of different sizes, to produce packages of different sizes, to vary the contents of packages or to give access for cleaning or maintenance purposes
B67B 7/00 - Hand- or power-operated devices for opening closed containers
70.
Machine learning models for automated anomaly detection for application infrastructure components
A system for automated detection of anomalous performance of application infrastructure components includes memory hardware and processor hardware communicatively coupled together. The processor hardware is configured to train the at least one machine learning model using measured historical performance metrics of a first component of the application infrastructure components. The processor hardware is configured to use the at least one machine learning model to generate key performance indicators for the first component, based on a reporting window time period associated with measured performance metrics. The processor hardware is configured to, in response to the key performance indicators indicating a performance anomaly condition for the first component, automatically perform a self-healing operation associated with the key performance indicators. The self-healing operation includes automatically modifying operation of the first component, including at least one of restarting the first component, and starting a new instance of the first component.
H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
H04L 43/045 - Processing captured monitoring data, e.g. for logfile generation for graphical visualisation of monitoring data
H04L 43/08 - Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
H04L 43/10 - Active monitoring, e.g. heartbeat, ping or trace-route
One aspect of the present disclosure is related to a medication dispensing device. The medication dispensing device includes a housing and a tray. The tray carries a plurality of pods with interiors that can contain pills and is moveable between an open position where the pods are exposed to a user and a closed position where the pods are not exposed to the user. At least one of the pods is at least partially made of an elastomeric material that can deflect to open a passage. When the tray is in the open position, the pods are able to be individually opened to either receive pills or to dispense pills. The medication dispensing device also includes a controller that is configured to monitor the insertion of pills into the pods and the dispensing of pills out of the pods.
A61J 7/00 - Devices for administering medicines orally, e.g. spoonsPill counting devicesArrangements for time indication or reminder for taking medicine
A61J 1/03 - Containers specially adapted for medical or pharmaceutical purposes for pills or tablets
A61J 1/14 - Containers specially adapted for medical or pharmaceutical purposes DetailsAccessories therefor
Methods and systems for selecting a deep learning/machine learning model are described. In one embodiment, a plurality of models are optimized by addressing class imbalances among a first subset of records, each of the plurality of models are trained using the first subset of records, each of the plurality of models are implemented to predict a value of respective known target columns in each of a second subset of records, respective success rates for each of the plurality of models at predicting the respective known target columns for each of the second subset of records are determined, a first of the plurality of models having a highest success rate is selected, and the first of the plurality of models is implemented to decide a target column of a received authorization request based on predictor columns in the received authorization request.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
74.
Application infrastructure for maintaining production and non-production environments using a segregated schema
A computer system includes a database configured to store a first rule schema, a second rule schema and a data schema, the first and second rule schemas each configured to store a compiled code base, and the data schema configured to store transactional data. The system includes a user application node configured to allow users to perform application operations, and a developer application node configured to facilitate developer deployment operations. Processor hardware is configured to point the user application node to the first rule schema, point the developer application node to the second rule schema, point the user application node and the developer application node to the data schema, update the second rule schema according to updates received via the developer application node, and in response to validation of the updates to the second rule schema, change the user application node to point to the updated second rule schema.
Methods and systems for selecting a deep learning/machine learning model are described. In one embodiment, a plurality of models are trained using the first subset of records, each of the plurality of models are implemented to predict a value of respective known target columns in each of a second subset of records, respective success rates for each of the plurality of models at predicting the respective known target columns for each of the second subset of records are determined, a subset plurality of the plurality of models based on success rate is selected, and the subset plurality of the plurality of models is implemented to decide a target column of a received authorization request based on variables in the received authorization request using a democratic process.
A patient record matching system can calculate commonality measurements for first names in patient records, and dependent on the measurements, and require different amounts of additional information in the records to match before identifying the records as matching to the same person. Optionally, the system can examine differences in birth dates between the records. The differences can be categorized based on the type of differences and then used to determine what types of other matching information must be in the records before the records are identified as matching to the same person. Optionally, the first names in the records can be identified, and additional characters may be examined to determine whether these additional characters match or are different to determine whether the records match to the same person. Optionally, linkages between wholly different names may be identified and used for later record matching.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
77.
MULTI-PLATFORM PRESCRIPTION DRUG CLAIM ADJUDICATION
Methods and systems for performing multi-platform prescription drug claim adjudication are provided. The methods and systems perform operations comprising: receiving, by a first server associated with a first claim adjudication entity, a claim for a prescription drug for a patient, the first claim adjudication entity managing a prescription drug profile for the patient; accessing initial fulfillment information for fulfilling the prescription drug using the first claim adjudication entity; determining that one or more features associated with the prescription drug of the claim correspond to one or more criteria; in response to determining that one or more features correspond to the one or more criteria, transmitting a communication to a second server associated with a second claim adjudication entity, the communication identifying the prescription drug and requesting alternate fulfillment information; and selecting a claim adjudication process based on the initial fulfillment information and the alternate fulfillment information.
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
78.
METHODS AND SYSTEMS FOR FILLING CLIMATE CONTROLLED MEDICATIONS
The temperature-controlled medication packaging system includes a storage with a temperature-controlled interior that contains at least one medication that is disposed within a shipping box. The temperature-controlled medication packaging system also includes at least one shipping container in a packager. The temperature-controlled medication packaging system further includes at least one coolant that is sized to fit within the at least one shipping container. At least one robot is adapted to retrieve the at least one medication directly from the shipping box within the storage and transport the at least one medication to the shipping container in the packager. The at least one robot is also adapted to retrieve the at least one coolant and to transport the at least one coolant to the shipping container in the packager.
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
A system and method for integrating data from different data sources is disclosed. Project records are processed by (a) calculating a normalized level of effort value based on a level of effort value contained in the project record and (b) determining a cost center identifier associated with the project record. Cost center records are processed by (a) identifying the project records associated with a cost center identifier contained in the cost center record and (b) allocating an expense amount contained in the cost center record across the identified project records based on the normalized level of effort value for each of the identified project records.
36 - Financial, insurance and real estate services
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Mail order and wholesale pharmacy services; cost management and containment for the health, prescription drug and medical benefit plans of others; prescription drug formulary cost management services; business consulting services regarding healthcare costs, benefits and pharmacy services; business services provided to the healthcare industry for business purposes, namely, business data analyzing and reporting services in the fields of healthcare, pharmaceuticals, and consumer behavior; drug and healthcare utilization and review services; medical care cost management for the health, medical and prescription drug plans of others; providing a web based online portal featuring medical cost management data and analytics information related to the pharmaceutical, medical, healthcare, and life sciences fields; computerized database management and data processing services in the pharmaceutical, medical, healthcare, healthcare insurance and health plan benefits, and life sciences fields; electronic data collection and data submission services for business purposes in the fields of medicine, life sciences, insurance and healthcare; insurance and health plan benefits claims auditing relating to fraud waste and abuse; tracking, monitoring, assessing and analyzing information and statistics regarding patient prescription drug use, medical care, and healthcare habits, to identify potential cost savings and clinical benefits; Collection and analysis of quality metric data for health care providers, insurance companies and health care payors for business purposes; cost management of health care services provided by others; business consulting in the fields of organization and coordination of health care services Medical benefit management services; pharmacy benefit management services; medical insurance case and utilization review and insurance claims adjustment services for healthcare purchasers and payors and providers; administration of managed health care plans and pharmacy and medical benefit plans; Financial risk analysis and evaluation services relating to identifying and estimating future potential health costs, and likelihood of clinical outcomes Software as a service (SaaS) services featuring software for medical utilization review for reviewing health insights related to cardiology care, diabetes, and obesity; Electronic signature verification services using technology to authenticate user identity; software as a service (SaaS) services featuring software for optimizing healthcare utilization and financial risk for healthcare payers, and analyzing data to help providers track clinical decisions and develop best practices; providing online non-downloadable software for use in managing the quality and cost of healthcare; software as a service (SaaS) services featuring software for use in managing medical and pharmacy benefits; providing online, non-downloadable software for providing medical statistics and facts for use in the data analytics field; application services provider, namely, hosting, managing, developing, analyzing, and maintaining applications, software and web sites for use by others in the fields of healthcare benefits programs and risk management; providing temporary use of online, non-downloadable computer software for collecting, managing, and analyzing clinical trial data; providing temporary use of online non-downloadable software for health risk assessment and profiling for use in the field of preventative health; electronic health data storage and consulting services therefor; data mining and data mining consulting services; providing temporary use of non-downloadable computer software for the collection, editing, organizing, modifying, book marking, transmission, storage and sharing of data and information in the field of healthcare Advisory services and consultancy regarding healthcare; managed healthcare services; health care services, namely, disease management programs; health care services, namely, cardiodiabesity management programs; behavioral health services; providing information to patients in the field of administering medications and health care; health consulting in the pharmaceutical, medical, healthcare, and life sciences fields; providing medical testing of fitness and medical consultations to individuals to help them make health, wellness, and nutritional changes in their daily living to improve health and lower costs
A pharmaceutical counter for dispensing precise quantities of pharmaceuticals is disclosed. The pharmaceutical counter includes a holder defining a first interior sized to hold a first plurality of pharmaceuticals. A hopper defines a second interior sized to hold a second plurality of pharmaceuticals. The pharmaceutical counter also includes a counting mechanism that counts precise quantities of pharmaceuticals. The counting mechanism is arranged to receive pharmaceuticals of the first plurality of pharmaceuticals held by the holder and to receive pharmaceuticals of the second plurality of pharmaceuticals held by the hopper.
Methods and systems for classifying and editing insurance claims records are described. In one embodiment, a method, which can be performed by a processor, includes identifying that a first prescription drug prescribed to a first patient, identifying a first date and a second date related to the first prescription, the second date occurring after the first date, both the first and second dates depending on a previous fill of the first prescription drug, identifying, at the processor, a third date associated with a second prescription, comparing, at the processor, the third date to the first and second dates to determine whether the third date occurs after the first date and before the second date, and filling and dispensing the first prescription drug and the second prescription drug on the same dispense date when the third date occurs after the first date and before the second date.
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G06Q 10/0832 - Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
G06Q 50/22 - Social work or social welfare, e.g. community support activities or counselling services
83.
Predictive modeling profile configurations under constrained conditions
A computerized method includes obtaining a set of historical data characterizing interactions of a user with a first network provider and a second network provider. The first network provider includes a restrictive condition with respect to the second network provider, and the restrictive condition indicates that a network provider preference included in configuration data corresponding to an account of the user is constrained to one of the first network provider or the second network provider. The method includes generating, using the set of historical data, a predicted network provider indicating one of the first network provider or the second network provider. The method includes communicating the predicted network provider as a recommended network provider preference for the configuration data corresponding to the account of the user.
Methods and systems for providing a secure healthcare communication exchange platform. The methods and systems perform operations comprising: accessing a collection of data records from a plurality of sources, the collection of data records corresponding to a given entity; generating, based on the collection of data records, an aggregated representation of one or more conditions associated with the given entity; determining, based on the aggregated representation, that a given condition of the one or more conditions satisfies an outreach parameter; in response to determining that the given condition satisfies the outreach parameter, triggering an outreach event to communicate with the given entity; generating status information in the aggregated representation, the status information corresponding to the outreach event; and tracking the status information to establish a relationship between the given condition and the outreach parameter.
G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
A query generation system includes memory hardware configured to store instructions and processor hardware configured to execute the instructions. The instructions include obtaining a definition of a query specifying a number of elements of the query. The instructions include identifying candidate query elements for the query that correspond to a set of multiple domains. The instructions include, based on the specified number, determining a target number for each of the domains. The instructions include optimizing a selection of query elements from among the candidates. Using data from prior queries, the optimization maximizes at least one of internal consistency of the selected query elements and correlation of the selected query elements with a reference query. The optimization selects the target number of query elements for the domains. The instructions include storing the selected query elements. The instructions include transmitting information identifying the selected query elements to a query execution system.
Method and systems for product inventory are described. In one embodiment, an inventory surface unit retains a plurality of products in an unordered state. An inventory identification unit acquires information for an orientation, and location of the plurality of products on the inventory surface unit. The inventory identification unit is disposed above the inventory surface unit. An inventory pick unit is adapted to pick a product among the plurality of products from the inventory surface unit based on the orientation and location acquired by the inventory identification unit. The inventory pick unit is disposed proximal the inventory surface unit, and the inventory pick unit is communicatively connected to the inventory identification unit. Additional methods and systems are disclosed.
A method for predicting errors in prescription claim data is performed by a claim analysis device. The method includes extracting historical claim features from successfully processed historical claims received from the data warehouse system. The method includes extracting pending claim features from a pending claim. The method includes applying a binarization process on the extracted historical claim features to obtain a binarized training feature set. The method includes applying the binarization process on the extracted pending claim features to obtain a binarized pending feature set. The method includes calculating an aggregate distance between the binarized pending feature set and the binarized training feature set. The method includes identifying the historical claim associated with the least aggregate distance as a predictive historical claim. The method includes transmitting an alert upon determining that a billing attribute of the predictive historical claim fails to match a corresponding billing attribute of the pending claim.
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
A pharmaceutical order filling system receives pharmaceutical orders and uses a packing device to package pharmaceutical orders. The packing device is configured with at least one cutter that generates tailings and dust. A tailing collection device is provided that collects the tailings and dust generated by the packing device into and through an intake tube and into a collection assembly. The collection assembly includes a hood with at least one air filter, a frame, and a bin removably received within the frame. The frame supports the hood and aligns the bin to be in fluid communication with the hood. A gas motive device is positioned intermediate the ends of an intake tub before the hood and is configured to suction the tailings and/or dust.
G16H 20/13 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered from dispensers
B65B 1/02 - Machines characterised by the incorporation of means for making the containers or receptacles
91.
DYNAMIC USER INTERFACE FOR AUTOMATED GENERATION OF CUSTOM PHYSICAL LABELS
A computer system includes memory hardware configured to store instructions and a database, and processor hardware configured to execute the instructions. The instructions include receiving input from a user. The instructions include querying the database to: obtain a label text associated with a specified national drug code (NDC), obtain a field associated with the label text, and obtain a set of field options associated with the field. The instructions include building a data structure including the label text, the field, and the set of field options. The instructions include converting the data structure to a dynamic web interface for displaying the label text, the field, and the set of field options. The instructions include receiving a user selection of a field option of the set of field options, updating the field to reflect the user selection, and generating a label by printing the label text including the updated field.
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
A computer-implemented method includes defining model attributes including a training iteration value that defines a set of training iterations to be used in machine learning to associate portions of feedback data with a set of topic groups based on similarities in concepts conveyed in the feedback data. The method includes removing at least some of the confidential information from the feedback data. The method includes receiving a topic model number selection that indicates a subset of the set of topic groups. The method includes using machine learning to train a machine model based on the model attributes and the topic model number selection. The method includes generating a display showing at least one of a topic cluster graph or a word cloud based on the machine model.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G06Q 50/22 - Social work or social welfare, e.g. community support activities or counselling services
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
The medication dispensing assembly includes a housing having an interior. A medication bottle is disposed in the interior with its cap assembly facing vertically downwardly. The cap assembly includes outer, middle, and inner pieces. The outer and inner pieces are fixed with one another, and the middle piece is fixed with the bottle. A drive unit is disposed in the interior of the housing and is configured to rotate the bottle and the middle piece of the cap assembly about a vertical axis. The three pieces of the cap assembly have respective medication openings, and rotating the bottle causes individual pills to travel first from the bottle into the inner piece, then into the middle piece, then around the vertical axis, and then outside of the cap assembly through the medication opening of the outer piece.
A61J 7/00 - Devices for administering medicines orally, e.g. spoonsPill counting devicesArrangements for time indication or reminder for taking medicine
A61J 1/03 - Containers specially adapted for medical or pharmaceutical purposes for pills or tablets
A monitoring system for mapping and monitoring inter-application communications in a computing ecosystem is described. The monitoring system provides consolidated visibility to computing ecosystems by providing end-to-end mapping and monitoring of inter-application communications and events, changes, incidents, and status information of applications, services, and systems. As described, the monitoring system is configured to (a) identify communication paths linking the host devices, (b) generate an ecosystem map based on the communication paths, (c) transmit a monitoring signal to the network, (d) receive a monitoring response from the host devices in response to the monitoring signal including at least a first status, (e) process the monitoring response with the ecosystem map to generate an active ecosystem map, and (f) display the active ecosystem map including the host devices and at least one status associated with the host devices. As such, the monitoring system provides consolidated visibility to the ecosystem.
H04L 43/04 - Processing captured monitoring data, e.g. for logfile generation
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
H04L 43/08 - Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
95.
SHUTTLE FOR MOVING PACKAGES THROUGH A FILLING SYSTEM
The shuttle system is configured to convey a container through a filling center. The shuttle system includes a shuttle and a base plate that is operably attached with the shuttle. A plurality of support members extends vertically upwardly from the base plate and surround a container receiving space. The support members are configured to directly contact side surfaces of the container and to support the container as the shuttle moves through the filling center without locking the container to the shuttle.
B65B 43/54 - Means for supporting containers or receptacles during the filling operation
A61J 7/00 - Devices for administering medicines orally, e.g. spoonsPill counting devicesArrangements for time indication or reminder for taking medicine
96.
System and method for secure delivery of a medication package
A method for controlling secure delivery of a medication package includes receiving a medication delivery request to deliver a medication package to a first delivery location. The method also includes identifying one or more authenticated delivery locations corresponding to a recipient and determining whether the one or more authenticated delivery locations includes the first delivery location and, in response to a determination that the one or more authenticated delivery locations includes the first delivery location, instructing an unmanned aerial vehicle to transport the medication package from a starting location to the first delivery location. The method also includes, in response to the unmanned aerial vehicle communicating authentication data, determining whether the authentication data corresponds to the recipient. The method also includes, in response to a determination that the authentication data corresponds to the recipient, instructing the unmanned aerial vehicle to release the medication package to the recipient.
B64U 101/23 - UAVs specially adapted for particular uses or applications for use as communications relays, e.g. high altitude platforms for providing telephone services
B64U 101/30 - UAVs specially adapted for particular uses or applications for imaging, photography or videography
B64U 101/55 - UAVs specially adapted for particular uses or applications for life-saving or rescue operationsUAVs specially adapted for particular uses or applications for medical use
B64U 101/60 - UAVs specially adapted for particular uses or applications for transporting passengersUAVs specially adapted for particular uses or applications for transporting goods other than weapons
97.
Methods and systems for selecting a machine learning algorithm
Methods and systems for selecting a machine learning algorithm are described. In one embodiment, one or more factors to be used by a machine learning algorithm in predicting a value of a required pharmacy element of a prescription are identified, the machine learning algorithm is trained to predict the value of the required pharmacy element using a first subset of previously received prescriptions, a success rates for the machine learning algorithm at predicting respective known values of respective known required pharmacy elements for each of a second subset of the previously received prescriptions are determined, and the machine learning algorithm predicts the value of the required pharmacy element of the prescription for a first predetermined period.
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
98.
METHODS AND APPARATUS FOR AUTOMATED COUNTING OF SOLIDS
A shim for a solid counting device is provided. The shim includes: a first end, including a first width and a projection extending in a lateral direction; a second end, including a second width greater than the first width; and an elongated body extending in a longitudinal dimension from the first end to the second end. The first width, the second width, and the projection configured to prevent more than one of a plurality of solids simultaneously traveling into an exit channel of the solid counting device.
A cryptographic protection system includes memory hardware configured to store instructions and processing hardware configured to execute the instructions stored by the memory hardware. The instructions include receiving a data package via a networked communications channel. The instructions include, in response to the data package satisfying first criteria, transforming the data package into a transformed package according to transformation rules. The transforming includes identifying a plurality of data elements in the data package as specified by the transformation rules and inserting each of the plurality of data elements into the transformed package. The instructions include executing a cryptographic hash on the transformed package to generate a cryptographic digest. The instructions include obtaining a cryptographic signature based on the cryptographic digest. The instructions include storing the cryptographic signature into a data store.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
A computerized method of automated device efficacy determination for multiple monitor devices includes receiving streaming data including multiple health data values sensed by multiple monitor devices, each value indicative of health status of one or more members, and identifying first and second health data values from first and second target ones of the multiple monitor devices. The method includes determining first and second measured health status values of first and second ones of the members according to the identified first and second health data values, and aggregating the determined first measured health status value of the first member with the determined second measured health status value of the first member or the measured health status value of the second member. The method includes comparing the aggregated measured health status values to a target device efficacy threshold to determine an outcome-based device efficacy of the first and second target monitor devices.
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
G16H 40/40 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
A61B 5/021 - Measuring pressure in heart or blood vessels
G06Q 50/28 - Logistics, e.g. warehousing, loading, distribution or shipping
G16H 20/10 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16Y 20/40 - Information sensed or collected by the things relating to personal data, e.g. biometric data, records or preferences
