Abstract

Provided herein are systems and methods for methods for detecting expected reductions of interactions across sessions. A computing system can identify event data identifying interactions by a user with a first session for digital therapeutic content to address a condition. The computing system can apply the event data to a machine learning (ML) model. The computing system can generate a likelihood of the user interacting with a second session for digital therapeutic content based on applying the event data to the ML model. The computing system can detect an expected reduction in interactions by the user with the second session, responsive to the likelihood of the user not satisfying a threshold. The computing system can provide an output for the user based on detecting the expected reduction in interactions. In this manner, the efficacy of the medication that user is concurrently taking to address the condition may be improved.

IPC Classes  ?

• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• H04L 67/50 - Network services

Abstract

Nutritional Cognitive Behavioral Therapy (Nutritional-CBT) is provided for the treatment of patients with type 2 diabetes and other cardiometabolic diseases, addressing common maladaptive thinking and beliefs pertaining to diet and lifestyle in a digitally-delivered therapy personalized to the individual patient using artificial intelligence (AI)/machine learning (ML) driven feed-back loops. Systems, methods, and computer-readable media described herein can include providing, by one or more processors, a digital therapeutic application including one or more lessons or activities. The one or more processors can collect at least one response or biometric data from the user. The one or more processors can generate, using a machine-learning model, one or more goals for the user to achieve or a progress overview.

IPC Classes  ?

• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
• 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 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
• 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

Abstract

Nutritional Cognitive Behavioral Therapy (Nutritional-CBT) is provided for the treatment of patients with type 2 diabetes and other cardiometabolic diseases, addressing common maladaptive thinking and beliefs pertaining to diet and lifestyle in a digitally-delivered therapy personalized to the individual patient using artificial intelligence (AI)/machine learning (ML) driven feed-back loops. Systems, methods, and computer-readable media described herein can include providing, by one or more processors, a digital therapeutic application including one or more lessons or activities. The one or more processors can collect at least one response or biometric data from the user. The one or more processors can generate, using a machine-learning model, one or more goals for the user to achieve or a progress overview.

IPC Classes  ?

• G16H 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A63B 24/00 - Electric or electronic controls for exercising apparatus of groups
• G09B 5/02 - Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

Aspects of the present disclosure are directed to systems, methods, and computer readable media for configuring generation of digital therapeutic content for provision. A computing system may identify content to be provided via a network. The computing system may apply the content to a machine learning (ML) model to generate an output. The computing system may determine, from the output, a compliance status of the content. The computing system may identify, based on applying the ML model, at least a subsection of the content to be modified. The computing system may identify the content to be modified responsive to determining the compliance status of the content.

IPC Classes  ?

• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• G06F 40/40 - Processing or translation of natural language

Abstract

Provided herein are methods of ameliorating experiential negative symptoms of schizophrenia in a user in need thereof. A computing system may obtain a first metric associated with the user prior to a plurality of time instances. The computing system may repeat across a plurality of time instances, identifying a configuration file selected based on an endpoint for ameliorating the experiential negative symptoms. The computing system may repeat presenting the set of content items identified by the configuration file to prompt the user to perform the activity towards achieving the endpoint. The computing system may obtain a second metric associated with the user after the plurality of time instances. The user may show amelioration of experiential negative symptoms of schizophrenia, when the second metric is lower than the first metric. The computing system may increase the efficacy of the medication that the user is taking to address the schizophrenia.

IPC Classes  ?

• 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
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/16 - Devices for psychotechnicsTesting reaction times
• A61K 31/422 - Oxazoles not condensed and containing further heterocyclic rings
• A61K 31/496 - Non-condensed piperazines containing further heterocyclic rings, e.g. rifampin, thiothixene or sparfloxacin
• A61K 31/519 - PyrimidinesHydrogenated pyrimidines, e.g. trimethoprim ortho- or peri-condensed with heterocyclic rings
• A61K 31/5513 - 1,4-Benzodiazepines, e.g. diazepam
• A61K 31/554 - Heterocyclic compounds having nitrogen as a ring hetero atom, e.g. guanethidine or rifamycins having seven-membered rings, e.g. azelastine, pentylenetetrazole having at least one nitrogen and at least one sulfur as ring hetero atoms, e.g. clothiapine, diltiazem
• 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

Abstract

Provided herein are systems and methods for presenting interventions to address substance use disorders (SUDs) in users. One or more processors may identify for a user with a substance use disorder, a profile including a plurality of substance use words, memory words, and neutral words. The one or more processors may provide a repeated cycle of selection activities and visualization activities. The one or more processors may update the profile of the user using the performance of the user in the activity. The systems and methods provided herein can enhance the efficacy of the medication that the user is taking in concurrence with addressing the SUD.

IPC Classes  ?

• 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
• 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 50/30 - 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

Abstract

Provided herein are systems and methods for providing instructions for speech based on speech classifications of verbal communications from users. Ae computing system can generate speech characteristics for a first verbal communication using a first audio sample from a user. The computing system can determine, from a plurality of speech classifications, a first speech classification for the first verbal communication based on the speech characteristics. The computing system can select, from a plurality of actions, an action comprising modifying one or more of the speech characteristics to define an utterance for the user based on the first speech classification. The computing system can provide an instruction presenting a message to prompt the user to perform the utterance defined by the action selected from the plurality of actions. The efficacy of the medication that the user is taking to address the condition may be increased.

IPC Classes  ?

• G09B 19/04 - Speaking
• G10L 15/08 - Speech classification or search
• G10L 15/22 - Procedures used during a speech recognition process, e.g. man-machine dialog

Goods & Services

Design and development of computer software for digital therapeutics; Software design and development; Custom design of computer software Medical services; Medical services, namely, neuromodulation therapy services; Health care services for treating human health conditions, behaviors and diseases using digital therapeutics

Goods & Services

Design and development of computer software for digital therapeutics; Software design and development; Custom design of computer software Medical services; Medical services, namely, neuromodulation therapy services; Health care services for treating human health conditions, behaviors and diseases using digital therapeutics

Abstract

Provided herein are systems and methods for simulating testing environments for digital therapeutic applications to address conditions over spans of time. A computing system may select a trigger from a plurality of triggers of an event scheduler for addressing a condition. The computing system may set a clock to a timestamp of the trigger, wherein the clock is accessible to the service and to the user device. The computing system may cause the service to transmit a message for addressing the condition to the user device, responsive to the timestamp of the clock corresponding to the timestamp of the trigger. The computing system may identify that the message is communicated between the service and the user device in accordance with the trigger. The computing system may determine that the trigger of the event scheduler is validated, responsive to identifying that the message is communicated.

IPC Classes  ?

• G06F 11/36 - Prevention of errors by analysis, debugging or testing of software
• G06F 11/3668 - Testing of software

Abstract

Aspects of the present disclosure are directed to systems, methods, and computer readable media for regulating digital therapeutic content for provision. A computing system may identify a digital therapeutic content to be provided via a network. The computing system may apply the digital therapeutic content to a machine learning (ML) model having a set of weights. The computing system may determine, from applying the digital therapeutic content to the ML model, an indication as of one of compliance or non-compliance. The computing system may store, using one or more data structures, an association between the digital therapeutic content and the indication used to control provision of the digital therapeutic content via the network, by (i) restricting the digital therapeutic content from provision responsive to determining the indication of non-compliance and (ii) permitting the digital therapeutic content to be provided responsive to determining the indication of compliance.

IPC Classes  ?

• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• G06F 40/40 - Processing or translation of natural language
• 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

Abstract

Aspects of the present disclosure are directed to systems, methods, and computer readable media for regulating digital therapeutic content for provision. A computing system may identify a digital therapeutic content to be provided via a network. The computing system may apply the digital therapeutic content to a machine learning (ML) model having a set of weights. The computing system may determine, from applying the digital therapeutic content to the ML model, an indication as of one of compliance or non-compliance. The computing system may store, using one or more data structures, an association between the digital therapeutic content and the indication used to control provision of the digital therapeutic content via the network, by (i) restricting the digital therapeutic content from provision responsive to determining the indication of non-compliance and (ii) permitting the digital therapeutic content to be provided responsive to determining the indication of compliance.

IPC Classes  ?

• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• G06F 40/40 - Processing or translation of natural language

Abstract

Aspects of the present disclosure are directed to systems, methods, and computer readable media for configuring generation of digital therapeutic content for provision. The system can receive a text input including one or more parameters identifying an audience and at least one domain. The system can identify content items generated by corresponding generative transformer models each using a prompt created based on the text input. The system can select, from a set of risk models for the domains, at least one risk model corresponding to the at least one domain. The system can apply the at least one risk model to each content item of the set of content items to determine a risk score. The system can select a content item based on the risk score of the content item. The system can present the content item including the respective digital therapeutic content.

IPC Classes  ?

• 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
• 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
• 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

Abstract

Aspects of the present disclosure are directed to systems, methods, and computer readable media for executing actions for events associated with use of applications. A computing system can identify free text associated with an application to be evaluated for at least one of a plurality of events associated with a use of the application. The computing system can apply the free text to a machine learning (ML) architecture. The computing system can determine, based on applying the free text to the ML architecture, a value indicating a likelihood of occurrence of an event associated with the use of the application. The computing system can provide to a generative ML model, a model input based on the free text and the value, to obtain data for an electronic document characterizing the event. The computing system can execute an action using the data for the electronic document.

IPC Classes  ?

• G06F 18/24 - Classification techniques
• G06F 16/242 - Query formulation
• G06F 18/2415 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
• G06N 3/047 - Probabilistic or stochastic networks
• G06N 3/0475 - Generative networks
• G06N 20/00 - Machine learning

Abstract

Aspects of the present disclosure are directed to systems, methods, and computer readable media for generating messages targeted to address conditions in users. A computing system may identify (i) a condition of a user to be addressed and (ii) one or more parameters defining messages to be presented via an application towards achieving an endpoint associated with the condition for the user. The computing system may generate a prompt using the condition and the one or more parameters in accordance with a template. The computing system may apply the prompt to a generative model to output a message identifying at least one activity toward achieving the endpoint. The generative model may be trained using a corpus. The computing system may provide, the message for presentation to prompt the user to perform the activity via the application towards achieving the endpoint to address the condition.

IPC Classes  ?

• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• 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
• H04W 4/12 - MessagingMailboxesAnnouncements

Abstract

Provided herein are systems and methods for presenting interactive sessions to address functional impairment in users related to a disease or disorder. A computing device may provide a first session for a cognitive training layer associated with a skill. The computing system may provide a second session for a virtual functional training layer for the user to apply the skill in virtual settings. The computing system may provide a third session for a functional training layer for the user to perform an activity to apply the skill. The efficacy of the medication that the user is taking to address the disease or disorder may be increased.

IPC Classes  ?

• 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
• 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 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

Abstract

Presented herein are systems and methods of secure transmissions of data packets to remote devices in networked environments. A server can establish a data connection over a network with an application executing on a client device associated with a user. The server can identify, for the user of the client device, (i) a plurality of messages to transmit to the client device for presentation via the application and (ii) a plurality of times at which to transmit the messages. The server can transmit, via the data connection to the client device, a first message at a first time. The server can receive, via the data connection from the client device, response data packets identifying an event detected responsive to the presentation of the first message via the application. The server can modify, using the one or more response data packets, a second time for transmission of a second message.

IPC Classes  ?

• H04L 67/141 - Setup of application sessions

Abstract

Provided herein are systems and methods for presenting multimodal stimulus to address symptoms associated with conditions. A server may identify a first visual stimulus associated with a condition and a second visual stimulus. The server may present the first visual stimulus at least partially overlapped with the second visual stimulus, to direct the user to interact with the display. The service may detect a response identifying an interaction associated with one of the first or second visual stimulus. The server may generate an auditory stimulus to include one or more portions indicating feedback based on the response.

IPC Classes  ?

• A61M 21/00 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis

Abstract

Provided herein are systems and methods for providing training via visual elements for presentation to address maladaptive behavior in users. A server may identify a session defining a plurality of tasks for a user to be performed using at least one hand of the user holding a display to address a propensity for behavior associated with a condition of the user. The server may provide a first indication to perform a first task using the at least one hand. The server may provide, subsequent to the first task, a second indication to perform a second task using the at least one hand. The server may provide, subsequent to the second task, a third indication to perform a third task using the at least one hand. The user may be administered with an effective amount of a medication at least partially concurrently with the performance of the tasks.

IPC Classes  ?

• 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 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Goods & Services

Providing medical and scientific research information in the field of digital therapeutics services, neuromodulation therapy services, software as a medical device (samd), clinical trials, behavioral health services, custom design of computer software, and design and development of computer software, health care services for treating human health conditions, behaviors, and diseases using digital therapeutics Providing medical information to patients, medical professionals and pharmaceutical, medical and health care companies in the form of reports, white papers, predictive analytics, visualization and research results and studies in the field of digital therapeutics services, neuromodulation therapy services, behavior health services, software as a medical device (samd), clinical trials, custom design of computer software, and design and development of computer software, health care services for treating human health conditions, behaviors, and diseases using digital therapeutics; Medical, health care, software as a medical device (samd), clinical trial, neuromodulation therapy and digital therapeutics information services provided via the Internet

Goods & Services

Custom design of computer software; Medical and scientific research, namely, conducting clinical trials for others; design and development of software as a medical device (SaMD) featuring digital and online health technologies to treat and manage medical and psychological conditions; Design and development of computer software for digital therapeutics; software design and development Medical and behavioral health services in the nature of neuromodulation therapy services; Medical and behavioral health services in the nature of digital therapeutics services; health care services for treating human health conditions, behaviors, and diseases using digital therapeutics; Medical services

Goods & Services

Custom design of computer software; Medical and scientific research, namely, conducting clinical trials for others; design and development of software as a medical device (SaMD) featuring digital and online health technologies to treat and manage medical and psychological conditions; Design and development of computer software for digital therapeutics; software design and development Medical and behavioral health services in the nature of neuromodulation therapy services; Medical and behavioral health services in the nature of digital therapeutics services; health care services for treating human health conditions, behaviors, and diseases using digital therapeutics; Medical services

Abstract

A method that includes receiving patient-generated event data over a network from a patient device associated with a patient having an active digital therapy prescription for treating an underlying disease or disorder. The patient-generated event data is encrypted by the patient device and includes at least one timestamped event related to the active digital therapy prescription. In response to receiving the patient-generated event data, the method includes decrypting, anonymizing, and storing the anonymized patient-generated event data on memory hardware. The method further includes receiving a patient record request over the network from a healthcare provider (HCP) system that requests the patient-generated event data and includes an authentication token. In response to receiving the patient record request, the method includes retrieving and encrypting the anonymized patient-generated event data from the memory hardware using the authentication token. The method also includes transmitting the encrypted patient-generated event data to the HCP system.

IPC Classes  ?

• H04L 9/40 - Network security protocols
• G06F 21/60 - Protecting data
• G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
• 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 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
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

The present disclosure discusses system and methods for improving the efficiency of a remote computing device. The system and methods include generate a profile and delivery schedule for the remote computing device. The system can dynamically update the delivery schedule of future requests the system transmits to the remote computing device based on responses to current request.

IPC Classes  ?

• H04L 67/62 - Establishing a time schedule for servicing the requests
• H04L 67/125 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
• H04L 67/303 - Terminal profiles

Abstract

Provided herein are systems and methods of controlling the transmission of messages in a networked environment. A server can send a set of instructions to a user device associated with a user, each of the instructions to present a message in at least one of a set of variants. The server can receive a set of responses corresponding to the instructions, each of the responses by the user to a respective presentation of the message in at least one of the variants. The server can determine a respective performance measure of the message in each variant using the responses and can update a selection model responsive to the responses. The server can select variant from the based on the performance measure for the variant. The server can transmit a second instruction to the user device associated with the user to present the message in the selected variant.

IPC Classes  ?

• G06N 5/04 - Inference or reasoning models
• G06F 11/34 - Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation
• G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
• G06F 16/22 - IndexingData structures thereforStorage structures
• G06N 20/00 - Machine learning
• G06F 15/16 - Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs

Abstract

Provided herein are systems and methods of controlling the transmission of messages in a networked environment. A server can send a set of instructions to a user device associated with a user, each of the instructions to present a message in at least one of a set of variants. The server can receive a set of responses corresponding to the instructions, each of the responses by the user to a respective presentation of the message in at least one of the variants. The server can determine a respective performance measure of the message in each variant using the responses and can update a selection model responsive to the responses. The server can select variant from the based on the performance measure for the variant. The server can transmit a second instruction to the user device associated with the user to present the message in the selected variant.

IPC Classes  ?

• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• 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
• 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
• H04L 67/50 - Network services

Abstract

Provided herein are systems and methods of managing access to data associated with trials for digital therapeutics on participants. A server can maintain a data storage for a plurality of phases associated with a trial for a digital therapeutic on participants. The data storage may include (i) a first portion of a plurality of datasets from the plurality of participants from one or more of the plurality of phases of the trial, and (ii) a second portion of the plurality of datasets from the digital therapeutics in at least one of the plurality of phases of the trial. The server can receive from a user device, a request identifying a phase of the plurality of phases for which the plurality of datasets is to be accessed. The server can select a corresponding portion of the plurality of datasets based on the request to provide the user device.

IPC Classes  ?

• G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires

Abstract

Provided herein are systems and methods of managing access to data associated with trials for digital therapeutics on participants. A server can maintain a data storage for a plurality of phases associated with a trial for a digital therapeutic on participants. The data storage may include (i) a first portion of a plurality of datasets from the plurality of participants from one or more of the plurality of phases of the trial, and (ii) a second portion of the plurality of datasets from the digital therapeutics in at least one of the plurality of phases of the trial. The server can receive from a user device, a request identifying a phase of the plurality of phases for which the plurality of datasets is to be accessed. The server can select a corresponding portion of the plurality of datasets based on the request to provide the user device.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
• G06F 16/22 - IndexingData structures thereforStorage structures
• G06F 11/34 - Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation
• G06F 16/14 - Details of searching files based on file metadata
• G06F 16/25 - Integrating or interfacing systems involving database management systems

Goods & Services

Design and development of computer software for digital therapeutics; Software design and development; Custom design of computer software Medical services; Medical services, namely, neuromodulation therapy services; Health care services for treating human health conditions, behaviors and diseases using digital therapeutics

Abstract

Presented herein are systems and methods for generating user interfaces based on conditions associated with users. A computing system can provide a first user interface comprising a first plurality of user interface elements to present first digital therapeutic content to a user. The first user interface can address a plurality of conditions. The computing system can identify a condition to be addressed in the user using data associated with the user. The computing system can generate a second user interface to include (i) at least one of the first plurality of user interface element and (ii) a second plurality of user interface elements to present second digital therapeutic content to address the condition. The computing system can provide the second user interface. The provision of the first and second digital therapeutic content can improve the efficacy of the medication taken by the user to address the condition.

IPC Classes  ?

• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• 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

Goods & Services

Design and development of computer software for digital therapeutics; Software design and development; Custom design of computer software Medical services; Medical services, namely, neuromodulation therapy services; Health care services for treating human health conditions, behaviors and diseases using digital therapeutics

Abstract

Presented herein are systems and methods of controlling access to user interfaces. A computing system can identify a plurality of user interfaces to present digital therapeutic content to a user to address a condition using one or more of the plurality of user interfaces. The computing system can provide, to a user device associated with the user over a time window, access to a subset of the plurality of user interfaces to present a corresponding portion of the digital therapeutic content to the user. The computing system can determine that interactions by the user satisfy a criterion based on data from the user device. The computing system can provide, to the user device, access to the plurality of user interfaces to present an entirety of the digital therapeutic content to the user, responsive to determining that the interactions satisfy the criterion.

IPC Classes  ?

• G06F 21/31 - User authentication
• G06F 21/44 - Program or device authentication
• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance

Abstract

Aspects of the present disclosure are directed to systems, methods, and computer readable media for configuring generation of digital therapeutic content for provision. The system can receive a text input including one or more parameters identifying an audience and at least one domain. The system can identify content items generated by corresponding generative transformer models each using a prompt created based on the text input. The system can select, from a set of risk models for the domains, at least one risk model corresponding to the at least one domain. The system can apply the at least one risk model to each content item of the set of content items to determine a risk score. The system can select a content item based on the risk score of the content item. The system can present the content item including the respective digital therapeutic content.

IPC Classes  ?

• 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
• 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
• 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

Goods & Services

Design and development of computer software for digital therapeutics; Software design and development; Custom design of computer software Medical services; Medical services, namely, neuromodulation therapy services; Health care services for treating human health conditions, behaviors and diseases using digital therapeutics

Goods & Services

Design and development of computer software for digital therapeutics; Software design and development; Custom design of computer software; design and development of software as a medical device (SaMD) that utilizes digital and online health technologies to treat and manage medical and psychological conditions Medical services; Neuromodulation therapy services; digital therapeutics services; Health care services for treating human health conditions, behaviors, and diseases using digital therapeutics

Goods & Services

Design and development of computer software for digital therapeutics; Software design and development; Custom design of computer software; design and development of software as a medical device (SaMD) that utilizes digital and online health technologies to treat and manage medical and psychological conditions Medical services; Neuromodulation therapy services; digital therapeutics services; Health care services for treating human health conditions, behaviors, and diseases using digital therapeutics

Goods & Services

Design and development of computer software for digital therapeutics; Software design and development; Custom design of computer software Medical services; Medical services, namely, neuromodulation therapy services; Health care services for treating human health conditions, behaviors and diseases using digital therapeutics

Goods & Services

Design and development of computer software for digital therapeutics; Software design and development; Custom design of computer software Medical services; Medical services, namely, neuromodulation therapy services; Health care services for treating human health conditions, behaviors and diseases using digital therapeutics

Abstract

Provided herein are methods of ameliorating experiential negative symptoms of schizophrenia in a user in need thereof. A computing system may obtain a first metric associated with the user prior to a plurality of time instances. The computing system may repeat across a plurality of time instances, identifying a configuration file selected based on an endpoint for ameliorating the experiential negative symptoms. The computing system may repeat presenting the set of content items identified by the configuration file to prompt the user to perform the activity towards achieving the endpoint. The computing system may obtain a second metric associated with the user after the plurality of time instances. The user may show amelioration of experiential negative symptoms of schizophrenia, when the second metric is lower than the first metric. The computing system may increase the efficacy of the medication that the user is taking to address the schizophrenia.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/16 - Devices for psychotechnicsTesting reaction times
• 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
• 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 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 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

Abstract

Provided herein are systems and methods of configuring finite state machines (FSMs) for applications. A server may identify a configuration file for an application. The configuration file may define an FSM for a corresponding routine to address a condition. Each FSM may identify a plurality of states, each of which may specify an output for a respective routine. The output may identify graphical elements for a user interface of the application. Each FSM may identify a plurality of transitions, each of which specifies an event to be detected via the user interface. The event may correspond to an action to be performed via the application for the respective routine. The server may generate, using the configuration file, instructions defining the FSM. The server may provide the instructions generated from the configuration file to include in the application.

IPC Classes  ?

• G06F 9/448 - Execution paradigms, e.g. implementations of programming paradigms

Abstract

Aspects of the present disclosure are directed to systems, methods, and computer readable media for generating messages targeted to address conditions in users. A computing system may identify (i) a condition of a user to be addressed and (ii) one or more parameters defining messages to be presented via an application towards achieving an endpoint associated with the condition for the user. The computing system may generate a prompt using the condition and the one or more parameters in accordance with a template. The computing system may apply the prompt to a generative model to output a message identifying at least one activity toward achieving the endpoint. The generative model may be trained using a corpus. The computing system may provide, the message for presentation to prompt the user to perform the activity via the application towards achieving the endpoint to address the condition.

IPC Classes  ?

• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
• 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
• H04W 4/12 - MessagingMailboxesAnnouncements

Abstract

Aspects of the present disclosure are directed to systems, methods, and computer readable media for regulating digital therapeutic content for provision. A computing system may identify a digital therapeutic content to be provided via a network. The computing system may apply the digital therapeutic content to a machine learning (ML) model having a set of weights. The computing system may determine, from applying the digital therapeutic content to the ML model, an indication as of one of compliance or non-compliance. The computing system may store, using one or more data structures, an association between the digital therapeutic content and the indication used to control provision of the digital therapeutic content via the network, by (i) restricting the digital therapeutic content from provision responsive to determining the indication of non-compliance and (ii) permitting the digital therapeutic content to be provided responsive to determining the indication of compliance.

IPC Classes  ?

• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• G06F 40/40 - Processing or translation of natural language

Abstract

Users of personalized messaging systems can encounter message fatigue, thereby reducing the efficacy of a message on its intended recipient. Message fatigue can result in wasted computational resources and bandwidth as messages transmitted over a network to the user's client device are not acted upon at the client device. For applications involving desired user interactions and responses, personalized messaging can be a tool to achieve user engagement targets. The systems and methods presented herein may address several of the technical challenges with personalized messaging.

IPC Classes  ?

• H04L 51/212 - Monitoring or handling of messages using filtering or selective blocking
• G06N 5/04 - Inference or reasoning models
• G06N 20/00 - Machine learning
• G06Q 30/0242 - Determining effectiveness of advertisements
• H04L 51/043 - Real-time or near real-time messaging, e.g. instant messaging [IM] using or handling presence information
• H04L 51/18 - Commands or executable codes
• H04L 67/306 - User profiles
• H04L 67/50 - Network services
• H04L 67/55 - Push-based network services

Abstract

Provided herein are systems and methods of associating stimuli with conditions of users. A computing system may identify, in response to presenting a first stimulus to a user, a relevance value of the first stimulus indicative of a relevance of the first stimulus with a condition of the user. The computing system may classify, responsive to the relevance value satisfying a threshold, the first stimulus as having a non-neutral reaction type associated with the condition to the user. The computing system may store, in one or more data structures, an association between the user and the first stimulus classified as having the non-neutral reaction type for presenting in a therapy session to address the condition of the user. The computing system may provide instructions for presenting the first stimulus in the therapy session to address the condition of the user.

IPC Classes  ?

• A61B 5/16 - Devices for psychotechnicsTesting reaction times

Abstract

Presented herein are systems and methods of providing individualized sessions to address chronic pain in users. A computing system may identify a set of stimuli identified by a user as not associated with the pain or the condition of the user. The computing system may present a first visual stimulus associated with the chronic pain of the user and a second visual stimulus neutral to the chronic pain. The computing system may present a visual probe corresponding to one of the first position or the second position to direct the user to interact with the visual probe. The computing system may increase the efficacy of the medication that the user is taking to address the condition.

IPC Classes  ?

• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• 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

Abstract

Presented herein are systems and methods of providing individualized sessions to address chronic pain in users. A computing system may identify a set of stimuli identified by a user as not associated with the pain or the condition of the user. The computing system may present a first visual stimulus associated with the chronic pain of the user and a second visual stimulus neutral to the chronic pain. The computing system may present a visual probe corresponding to one of the first position or the second position to direct the user to interact with the visual probe. The computing system may increase the efficacy of the medication that the user is taking to address the condition.

IPC Classes  ?

• A61M 21/00 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/16 - Devices for psychotechnicsTesting reaction times
• G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
• 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

Abstract

Presented herein are systems and methods of providing individualized sessions to address chronic pain in users. A computing system may identify a set of stimuli identified by a user as not associated with the pain or the condition of the user. The computing system may present a first visual stimulus associated with the chronic pain of the user and a second visual stimulus neutral to the chronic pain. The computing system may present a visual probe corresponding to one of the first position or the second position to direct the user to interact with the visual probe. The computing system may increase the efficacy of the medication that the user is taking to address the condition.

IPC Classes  ?

• 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
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• 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

Abstract

The present disclosure discusses system and methods for improving the efficiency of a remote computing device. The system and methods include generate a profile and delivery schedule for the remote computing device. The system can dynamically update the delivery schedule of future requests the system transmits to the remote computing device based on responses to current request.

IPC Classes  ?

• H04L 67/62 - Establishing a time schedule for servicing the requests
• H04L 67/125 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
• H04L 67/303 - Terminal profiles

Abstract

Users of personalized messaging systems can encounter message fatigue, thereby reducing the efficacy of a message on its intended recipient. Message fatigue can result in wasted computational resources and bandwidth as messages transmitted over a network to the user's client device are not acted upon at the client device. For applications involving desired user interactions and responses, personalized messaging can be a tool to achieve user engagement targets. The systems and methods presented herein may address several of the technical challenges with personalized messaging.

IPC Classes  ?

• H04L 67/561 - Adding application-functional data or data for application control, e.g. adding metadata
• H04L 67/306 - User profiles
• H04L 67/50 - Network services
• H04L 67/55 - Push-based network services

Abstract

Users of personalized messaging systems can encounter message fatigue, thereby reducing the efficacy of a message on its intended recipient. Message fatigue can result in wasted computational resources and bandwidth as messages transmitted over a network to the user's client device are not acted upon at the client device. For applications involving desired user interactions and responses, personalized messaging can be a tool to achieve user engagement targets. The systems and methods presented herein may address several of the technical challenges with personalized messaging.

IPC Classes  ?

• H04L 12/18 - Arrangements for providing special services to substations for broadcast or conference
• H04L 51/214 - Monitoring or handling of messages using selective forwarding
• H04L 51/216 - Handling conversation history, e.g. grouping of messages in sessions or threads
• H04L 51/18 - Commands or executable codes

Abstract

Provided herein are systems and methods for selecting configuration files for applications. A computing system may maintain configuration files readable by an application. Each of the plurality of configuration files may identify a respective set of content items to prompt users to perform at least one of a plurality of activities via the application towards achieving a respective endpoint of a plurality of endpoints. The computing system may determine an endpoint of the plurality of endpoints to address a condition of a user. The user may be on a medication to address the condition, at least partially in concurrence with performance of the activity via the application. The computing system may select a configuration file identifying a set of content items for an activity of the plurality of activities to be performed by the user via the application towards achieving the endpoint.

IPC Classes  ?

• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
• G06F 9/445 - Program loading or initiating

Abstract

Provided herein are systems and methods for selecting configuration files for applications. A computing system may maintain configuration files readable by an application. Each of the plurality of configuration files may identify a respective set of content items to prompt users to perform at least one of a plurality of activities via the application towards achieving a respective endpoint of a plurality of endpoints. The computing system may determine an endpoint of the plurality of endpoints to address a condition of a user. The user may be on a medication to address the condition, at least partially in concurrence with performance of the activity via the application. The computing system may select a configuration file identifying a set of content items for an activity of the plurality of activities to be performed by the user via the application towards achieving the endpoint.

IPC Classes  ?

• G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
• G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer

Abstract

Provided herein are systems and methods for dynamically providing messages based on indications of states to users at risk of migraines. A server can maintain, on a database, an identification of a set of activities for users at risk of migraines, with each activity having a set of messages to be presented in accordance with a rule. The server can receive, via a user interface, an indication identifying a state of the user associated with the migraine. The server can select, based on the state of the user identified in the response, an activity to provide to the user for the session. The server can identify, in accordance with the rule for the activity, a message from the set of messages. The server can cause the message identifying the activity to be presented via the user interface.

IPC Classes  ?

• 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
• 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

Abstract

Provided herein are systems and methods for dynamically providing messages based on indications of states to users at risk of migraines. A server can maintain, on a database, an identification of a set of activities for users at risk of migraines, with each activity having a set of messages to be presented in accordance with a rule. The server can receive, via a user interface, an indication identifying a state of the user associated with the migraine. The server can select, based on the state of the user identified in the response, an activity to provide to the user for the session. The server can identify, in accordance with the rule for the activity, a message from the set of messages. The server can cause the message identifying the activity to be presented via the user interface.

IPC Classes  ?

• A61B 5/24 - Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
• 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 20/70 - 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
• 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 50/30 - 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

Abstract

Provided herein are systems and methods for dynamically providing messages based on indications of states to users at risk of migraines. A server can maintain, on a database, an identification of a set of activities for users at risk of migraines, with each activity having a set of messages to be presented in accordance with a rule. The server can receive, via a user interface, an indication identifying a state of the user associated with the migraine. The server can select, based on the state of the user identified in the response, an activity to provide to the user for the session. The server can identify, in accordance with the rule for the activity, a message from the set of messages. The server can cause the message identifying the activity to be presented via the user interface.

IPC Classes  ?

• G16H 40/63 - 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 local operation
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/16 - Devices for psychotechnicsTesting reaction times

Goods & Services

Downloadable mobile medical application (MMA) for the treatment and management of cardiometabolic diseases and conditions; Downloadable MMA prescribed by physicians for the treatment of cardiometabolic diseases and conditions; Downloadable MMA delivering Cognitive Behavioral Therapy (CBT) for the management and treatment of cardiometabolic diseases; Downloadable software as a medical device for the treatment of patients with cardiometabolic diseases and conditions; Downloadable software application, namely, a prescription digital therapeutic providing cognitive behavioral therapy for the treatment of cardiometabolic diseases and conditions; Downloadable software for collecting self-reported biometric data and information from patients for the treatment of cardiometabolic diseases and conditions.

Goods & Services

Behavioral health services; Behavioral health services in the nature of digital therapeutics services; Health care services for treating human health conditions, behaviors, and diseases using digital therapeutics

Abstract

The present disclosure relates to systems and methods of performing session trials. A computing system may select, for a session trial for subject, (i) a first image from a plurality of images of expressions associated with a subject, (ii) a second image associated with another subject, and (iii) a third image corresponding to one of a plurality of types for the condition. The computing system may provide, for presentation of the session trial to the subject, (i) the first image, (ii) the second image, and (iii) the third image, in accordance with a presentation parameter. The computing system may receive, from the subject, a response identifying an association of the third image with one of the first image or the second image. The computing system may determine a performance metric based on the association. The computing system may update, using the performance metric, the presentation parameter.

IPC Classes  ?

• G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
• G06F 3/04842 - Selection of displayed objects or displayed text elements
• 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

Abstract

Provided herein are systems and methods of determining times of events. A server may receive a message from a client in response to an event. The message may identify a first time corresponding to a generation of the event and a second time corresponding to transmission of the message. The first time and the second time may be determined using a first clock of the client. The server may identify, using a second clock of the server, a third time at which the message is received at the server. The server may determine a fourth time based at least on the first time, the second time, and the third time. The fourth time may identify a time according to the second clock at which the event was generated at the client.

IPC Classes  ?

• G06F 1/12 - Synchronisation of different clock signals
• G06F 1/10 - Distribution of clock signals
• H04J 3/06 - Synchronising arrangements

Abstract

Provided herein are systems and methods of determining times of events. A server may receive a message from a client in response to an event. The message may identify a first time corresponding to a generation of the event and a second time corresponding to transmission of the message. The first time and the second time may be determined using a first clock of the client. The server may identify, using a second clock of the server, a third time at which the message is received at the server. The server may determine a fourth time based at least on the first time, the second time, and the third time. The fourth time may identify a time according to the second clock at which the event was generated at the client.

IPC Classes  ?

• H04J 3/06 - Synchronising arrangements
• 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 40/60 - 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
• G16H 10/29 -

Abstract

A method that includes receiving patient-generated event data over a network from a patient device associated with a patient having an active digital therapy prescription for treating an underlying disease or disorder. The patient-generated event data is encrypted by the patient device and includes at least one timestamped event related to the active digital therapy prescription. In response to receiving the patient-generated event data, the method includes decrypting, anonymizing, and storing the anonymized patient-generated event data on memory hardware. The method further includes receiving a patient record request over the network from a healthcare provider (HCP) system that requests the patient-generated event data and includes an authentication token. In response to receiving the patient record request, the method includes retrieving and encrypting the anonymized patient-generated event data from the memory hardware using the authentication token. The method also includes transmitting the encrypted patient-generated event data to the HCP system.

IPC Classes  ?

• H04L 9/40 - Network security protocols
• G06F 21/60 - Protecting data
• G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
• 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 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
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Goods & Services

Behavioral health services; Behavioral health services in the nature of digital therapeutics services; Health care services for treating human health conditions, behaviors, and diseases using digital therapeutics

Abstract

The present disclosure discusses system and methods for improving the efficiency of a remote computing device. The system and methods include generate a profile and delivery schedule for the remote computing device. The system can dynamically update the delivery schedule of future requests the system transmits to the remote computing device based on responses to current request.

IPC Classes  ?

• H04L 67/62 - Establishing a time schedule for servicing the requests
• H04L 67/125 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
• H04L 67/303 - Terminal profiles

Goods & Services

Behavioral health services; Behavioral health services in the nature of digital therapeutics services; Health care services for treating human health conditions, behaviors, and diseases using digital therapeutics

Abstract

Provided herein are systems and methods of configuring finite state machines (FSMs) for applications. A server may identify a configuration file for an application. The configuration file may define an FSM for a corresponding routine to address a condition. Each FSM may identify a plurality of states, each of which may specify an output for a respective routine. The output may identify graphical elements for a user interface of the application. Each FSM may identify a plurality of transitions, each of which specifies an event to be detected via the user interface. The event may correspond to an action to be performed via the application for the respective routine. The server may generate, using the configuration file, instructions defining the FSM. The server may provide the instructions generated from the configuration file to include in the application.

IPC Classes  ?

• G06F 9/448 - Execution paradigms, e.g. implementations of programming paradigms
• G06F 8/35 - Creation or generation of source code model driven

Goods & Services

Downloadable mobile medical applications (MMA) for the treatment and management of cardiometabolic diseases and conditions; Downloadable mobile medical applications (MMA) prescribed by physicians for the treatment of cardiometabolic diseases and conditions; Downloadable mobile medical applications (MMA) delivering Cognitive Behavioral Therapy (CBT) for the management and treatment of cardiometabolic diseases; Downloadable Software as a Medical Device (SaMD) for the treatment of patients with cardiometabolic diseases and conditions; Downloadable software applications, namely, downloadable software for a prescription digital therapeutic providing cognitive behavioral therapy for the treatment of cardiometabolic diseases and conditions; Downloadable software for collecting self-reported biometric data and information from patients for the treatment of cardiometabolic diseases and conditions

Goods & Services

Behavioral health services; Behavioral health services in the nature of digital therapeutics services; Health care services for treating human health conditions, behaviors, and diseases using digital therapeutics

Goods & Services

Behavioral health services; Behavioral health services in the nature of digital therapeutics services; Health care services for treating human health conditions, behaviors, and diseases using digital therapeutics

Goods & Services

downloadable computer software for treating, targeting, and monitoring human health conditions, behaviors, and disease; downloadable computer software for collecting biometric data from patients providing a web site featuring temporary use of non-downloadable software for use in targeting, and monitoring human health conditions, behaviors, and disease; software development in the field of healthcare; software as a service (SAAS) services featuring software for monitoring, reporting on, and analyzing the use of pharmaceuticals, and nutritional supplements; providing temporary use of non-downloadable software applications for patient behavior and symptom tracking

Goods & Services

downloadable computer software for treating, targeting, and monitoring sleep disorders; downloadable computer software for collecting biometric data from patients providing a web site featuring temporary use of non-downloadable software for use in targeting, and monitoring sleep disorders; software development in the field of healthcare; providing temporary use of non-downloadable software applications for patient behavior and symptom tracking; scientific research and development

Abstract

A computer implemented method for increasing mobile application user engagement in a remote computing environment is provided. The method includes presenting a first popup window to a user including a first plurality of action buttons, a first of the first plurality of action buttons causing a change to a first attribute category to a first instantiation, and a second of the first plurality of action buttons causing a change to a second attribute category to a second instantiation, the first attribute category and the second attribute category comprising a type of attribute category of a second popup window; and subsequent to the presenting the first popup window to the user, presenting the second popup window to the user including a first instantiation if the first of the first plurality of action buttons was selected, and a second instantiation if the second of the first plurality of action buttons was selected.

IPC Classes  ?

• G16H 40/63 - 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 local operation
• G06F 3/0482 - Interaction with lists of selectable items, e.g. menus

Abstract

Disclosed herein are systems and methods of a digital therapy service to generate therapy regimen addressing a health condition, which may require the customer to perform various tasks and instruct devices to capture data related to the customer's therapy, including body metric measurements and information related to the number and quality of interactions between the user and aspects of the digital therapy service, sometimes referred to as “user-generated” inputs. The digital therapy service may calculate various metrics, such as scores and milestone determinations, to measure the customer's progress. The scores can be determined using dynamically generated and updated scoring models. Artificial intelligence chatbots may be used to deliver and capture information to and from customers during interactive sessions. Each customer may have a unique chatbot queue that contains the various chatbots that will be used to deliver particular aspects of the customer's therapy.

IPC Classes  ?

• G16H 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
• G16H 20/30 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• 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 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 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
• 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 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
• G16H 15/00 - ICT specially adapted for medical reports, e.g. generation or transmission thereof
• G16H 80/00 - ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

Disclosed herein are systems and methods of a digital therapy service to generate therapy regimen addressing a health condition, which may require the customer to perform various tasks and instruct devices to capture data related to the customer's therapy, including body metric measurements and information related to the number and quality of interactions between the user and aspects of the digital therapy service, sometimes referred to as “user-generated” inputs. The digital therapy service may calculate various metrics, such as scores and milestone determinations, to measure the customer's progress. The scores can be determined using dynamically generated and updated scoring models. Artificial intelligence chatbots may be used to deliver and capture information to and from customers during interactive sessions. Each customer may have a unique chatbot queue that contains the various chatbots that will be used to deliver particular aspects of the customer's therapy.

IPC Classes  ?

• 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
• G06N 20/00 - Machine learning

Abstract

A computer system for determining onset of an acute coronary syndrome (ACS) event in a remote computing environment comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories is provided. The stored program instructions include capturing, using a camera, a first image at a first time of an iris and a pupil of a first eye of a user; following the capturing of the first image, identifying in the first image a first iris information; capturing, using the camera, a second image at a second time of the iris and the pupil of the first eye of the user; following the capturing of the second image, identifying in the second image a second iris information; determining whether the first iris information is within an allowable range of the second iris information; and providing an indication of a likely ACS event based on a determination of whether the first iris information is within the allowable range of the second iris information.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 3/12 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
• A61B 3/11 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions for measuring interpupillary distance or diameter of pupils
• A61B 3/14 - Arrangements specially adapted for eye photography
• G06T 7/00 - Image analysis
• G06T 7/70 - Determining position or orientation of objects or cameras
• G06T 7/90 - Determination of colour characteristics
• G06T 7/62 - Analysis of geometric attributes of area, perimeter, diameter or volume

Abstract

A computer system for adaptive parsing and processing of text to facilitate user engagement in a remote computing environment on an electronic device comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories is provided. The stored program instructions include receiving an input content from the electronic device of a user, the input content comprising a plurality of words, the plurality of words comprising one or more content words and one or more function words; following the receiving of the input content, extracting the function words and the content words from the input content; following the extracting of the input content, analyzing the function words and the content words extracted from the input content; determining, based on the extraction of the input content including the function words and the content words, user information; determining, based on the user information, output content to output to the user; and outputting, to a screen of the electronic device of the user, the output content.

IPC Classes  ?

• G06F 40/205 - Parsing
• G06F 40/30 - Semantic analysis
• 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 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

Abstract

A computer system for assessing click speed values and deviation thresholds in a remote computing environment comprising processor, computer-readable memory, computer-readable storage device, and program instructions stored on storage device for execution by the processor. The system includes determining the baseline click speed values for a user and the deviation thresholds for the user over the predetermined period of time; determining a subsequent click speed value each time a user makes a selection when prompted; comparing the subsequent click speed value to the baseline click speed values and the deviation thresholds; determining whether the subsequent click speed value presents a predetermined deviation from the baseline click speed values and the deviation thresholds; incrementing a recorded deviations for the predetermined deviation; if the recorded deviations exceeds a predetermined allowable number of deviations, present, on one or more screens of a user device, a warning message to the user.

IPC Classes  ?

• G06F 11/34 - Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation
• G06F 3/04842 - Selection of displayed objects or displayed text elements
• G06F 11/32 - Monitoring with visual indication of the functioning of the machine
• G06Q 30/00 - Commerce
• G16H 20/00 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance

Abstract

A computer system for blue-light therapy comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the stored program instructions including determining a need for blue-light therapy, and providing a blue-light stimulus to a user, wherein the blue-light stimulus comprises a visible range of 380 to 500 nm, and wherein, in response to the blue-light stimulus, a circadian rhythm of the user is shifted to a second rhythm, the second rhythm different than the circadian rhythm prior to the administration of the blue-light stimulus.

IPC Classes  ?

• A61N 5/06 - Radiation therapy using light

Abstract

Systems and methods for treating depression via a digital therapeutic. The digital therapeutic may be configured to provide memory task exercises according to a schedule and provide psychotherapy lessons according to another schedule. The psychotherapy lessons may include animated videos configured to provide therapeutic intervention through at least one of emotion regulation, behavioral activation and cognitive restructuring. The two schedules may define a six-week treatment period. The memory task exercises may include emotional face memory task (EFMT) exercises and the psychotherapy lessons may include cognitive behavioral therapy (CBT) lessons.

IPC Classes  ?

• 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
• 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 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires

Abstract

The present disclosure discusses system and methods for improving the efficiency of a remote computing device. The system and methods include generate a profile and delivery schedule for the remote computing device. The system can dynamically update the delivery schedule of future requests the system transmits to the remote computing device based on responses to current request.

IPC Classes  ?

• H04L 67/62 - Establishing a time schedule for servicing the requests
• H04L 67/125 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
• H04L 67/303 - Terminal profiles

Abstract

A computer system for slow-wave sleep modulation therapy comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories is provided. The system includes determining a need for sleep wave modulation, wherein the determining the need for sleep wave modulation is not by electroencephalography (“EEG”), and providing the modulation via slow-wave stimulus to a user, wherein the slow-wave stimulus comprises oscillations of a frequency between 0.25 and 8 Hz, and wherein, in response to the slow-wave stimulus, a brain frequency of the user receiving the slow-wave stimulus is modulated closer to the frequency of the slow-wave stimulus than the brain frequency prior to receiving the slow-wave stimulus.

IPC Classes  ?

• A61M 21/02 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia

Abstract

Provided for may be a system for assessing an eye contact aversion bias comprising initiating a first predetermined number of trials, wherein a trial comprises generating a displayed human face having a first spatial location corresponding to a first feature and a second spatial location corresponding to a second feature, wherein the first feature is the eyes of the displayed human face, and the second feature is not the eyes of the displayed human face, generating a target stimulus, wherein the target stimulus is presented at the first or the second spatial location, and receiving a selection signal. The system may further comprise calculating a response time, a first average response time, a second average response time, and calculating the eye contact aversion bias.

IPC Classes  ?

• A61B 5/16 - Devices for psychotechnicsTesting reaction times
• A61B 3/113 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions for determining or recording eye movement

Abstract

Provided for may be a system for assessing an eye contact aversion bias comprising initiating a first predetermined number of trials, wherein a trial comprises generating a displayed human face having a first spatial location corresponding to a first feature and a second spatial location corresponding to a second feature, wherein the first feature is the eyes of the displayed human face, and the second feature is not the eyes of the displayed human face, generating a target stimulus, wherein the target stimulus is presented at the first or the second spatial location, and receiving a selection signal. The system may further comprise calculating a response time, a first average response time, a second average response time, and calculating the eye contact aversion bias.

IPC Classes  ?

• A61B 5/16 - Devices for psychotechnicsTesting reaction times
• 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 20/70 - 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

Abstract

Users of personalized messaging systems can encounter message fatigue, thereby reducing the efficacy of a message on its intended recipient. Message fatigue can result in wasted computational resources and bandwidth as messages transmitted over a network to the user's client device are not acted upon at the client device. For applications involving desired user interactions and responses, personalized messaging can be a tool to achieve user engagement targets. The systems and methods presented herein may address several of the technical challenges with personalized messaging.

IPC Classes  ?

• H04L 51/212 - Monitoring or handling of messages using filtering or selective blocking
• G06N 5/04 - Inference or reasoning models
• G06N 20/00 - Machine learning
• G06Q 30/0242 - Determining effectiveness of advertisements
• H04L 51/043 - Real-time or near real-time messaging, e.g. instant messaging [IM] using or handling presence information
• H04L 51/18 - Commands or executable codes
• H04L 67/306 - User profiles
• H04L 67/50 - Network services
• H04L 67/55 - Push-based network services

Goods & Services

Downloadable computer application software for mobile phones, namely, software for digital therapeutic treatments for user health

Goods & Services

Behavioral health services; Behavioral health services in the nature of digital therapeutics services; Health care services for treating human health conditions, behaviors, and diseases using digital therapeutics.

Abstract

Disclosed herein are systems and methods of a digital therapy to identify and reinforce beneficial behaviors that are contributing to a patients progress toward achieving a desired health outcome, and to predictively identify an opportunity or need to adjust a patients medication.

IPC Classes  ?

• 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 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
• 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 20/70 - 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
• 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

Goods & Services

Providing a web site featuring temporary use of non-downloadable software for use in treating and monitoring human health conditions, behaviors, and diseases; software development in the field of healthcare; Providing temporary use of non-downloadable cloud-based software for patient behavior and symptom tracking; Software as a service (SAAS) services featuring software for monitoring, reporting on, and analyzing the use of pharmaceuticals, and nutritional supplements by patients

Abstract

A method of treatment comprises administering, via data processing hardware, to a first set of one or more users, a digital therapeutic, wherein the digital therapeutic comprises at least cognitive behavioral therapy content, administering, via the data processing hardware, to a second set of one or more users, at least one of a sham or a placebo digital therapeutic, wherein the at least one sham or placebo digital therapeutic does not comprise any cognitive behavioral therapy content, determining, via the data processing hardware, a first efficacy value associated with the digital therapeutic based on an analysis of engagement of the first set of one or more users with the digital therapeutic, determining, via the data processing hardware, a second efficacy value associated with the at least one sham or placebo digital therapeutic based on analysis of engagement of the second set of one or more users with the sham or placebo digital therapeutic, determining, via the data processing hardware, a third efficacy value associated with the digital therapeutic based on a comparison of the first and second efficacy values, altering, via the data processing hardware, the cognitive behavioral therapy content of the digital therapeutic based on the third efficacy value to provide an updated digital therapeutic, and administering, via the data processing hardware, the updated digital therapeutic to a third set of one or more users.

IPC Classes  ?

• 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
• 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

Abstract

Provided is a system for measuring and assessing intra-ocular pressure (IOP). The system comprises a processor, a memory, a camera, and instructions written on the memory. The instructions when executed by the processor may cause the system to: capture an image of a user's eye; convert the image to a three- dimensional image; analyze the three-dimensional image; and calculate an IOP measurement.

IPC Classes  ?

• A61B 3/16 - Objective types, i.e. instruments for examining the eyes independent of the patients perceptions or reactions for measuring intraocular pressure, e.g. tonometers
• G16H 30/00 - ICT specially adapted for the handling or processing of medical images