A system, method, and computer-readable media for obtaining the informed consent of a patient for a medical procedure. Specifically, a video describing a medical procedure may be provided to the patient through a client device having two display portions. As the video is playing in a first portion, the client device may capture the patient watching the video and display the captured image on the second portion. The entire display of the client device may be recorded, providing a record that the patient has watched the video describing the medical procedure and consents to the medical procedure.

A system and method for a cloud-based gaming platform with integrated health-related data collection capabilities. In an embodiment, the system and method comprise a cloud-based gaming platform comprising a frontend accessible from various game clients which operates a gaming environment on one or more game servers, a backend that provides the game database and analytics used by the game servers to operate the gaming environment, and a HIPPA-compliant security gateway configured to route health-related data from gaming to a healthcare diagnostics and treatment module integrated into the platform. Exercising on an exercise machine compatible with the cloud-based gaming platform entertains the user while simultaneously capturing data about the user's physical and mental performance which can later be used to diagnose medical conditions and, depending on configuration, implement treatment regimens comprising exercise routines and mental simulation via tasks in the gaming environment.

A system and method for a cloud-based gaming platform with integrated health-related data collection capabilities. In an embodiment, the system and method comprise a cloud-based gaming platform comprising a frontend accessible from various game clients which operates a gaming environment on one or more game servers, a backend that provides the game database and analytics used by the game servers to operate the gaming environment, and a HIPPA-compliant security gateway configured to route health-related data from gaming to a healthcare diagnostics and treatment module integrated into the platform. Exercising on an exercise machine compatible with the cloud-based gaming platform entertains the user while simultaneously capturing data about the user's physical and mental performance which can later be used to diagnose medical conditions and, depending on configuration, implement treatment regimens comprising exercise routines and mental simulation via tasks in the gaming environment.

A computer implemented coding system for mandating correct medical diagnostic coding by a provider, comprises program code executable to receive patient encounter medical data associated with a patient. Medical elements performed during the patient encounter are compared and matched with up-to-date guidelines that include medical guideline, derived from a stored database of diagnostic code requirements or via a machine learning/artificial intelligence acquisition of up-to-date guidelines, by which a diagnosis is made and published for consideration by a treating provider. The matched guideline is published on a display screen visible to the treating provider where it is accepted or refused in favor of the treating providers alternative diagnosis. If accepted, and insurance code is determined and submitted for payment. If not accepted, a list of missing medical procedures associated with the provider's diagnosis is determined and ordered before an insurance code may be assigned.

A computer implemented coding system for mandating correct medical diagnostic coding by a provider, comprises program code executable to receive patient encounter medical data associated with a patient. Medical elements performed during the patient encounter are compared and matched with up-to-date guidelines that include medical guideline, derived from a stored database of diagnostic code requirements or via a machine learning/artificial intelligence acquisition of up-to-date guidelines, by which a diagnosis is made and published for consideration by a treating provider. The matched guideline is published on a display screen visible to the treating provider where it is accepted or refused in favor of the treating providers alternative diagnosis. If accepted, and insurance code is determined and submitted for payment. If not accepted, a list of missing medical procedures associated with the provider's diagnosis is determined and ordered before an insurance code may be assigned.

An information processing apparatus comprising at least one processor, wherein the at least one processor is configured to: acquire a plurality of pieces of element information related to a medical image; divide the plurality of pieces of element information into groups; and generate summary information in which a summary of the element information included in the group is associated with the group.

An information processing apparatus comprising at least one processor, wherein the at least one processor is configured to: acquire a plurality of pieces of element information related to a medical image; divide the plurality of pieces of element information into groups; and generate summary information in which a summary of the element information included in the group is associated with the group.

A monitoring system a user activity sensor to determine patterns of activity based upon the user activity occurring over time.

A monitoring system a user activity sensor to determine patterns of activity based upon the user activity occurring over time.

Techniques are disclosed for using both feature delineation and machine learning to detect cardiac arrhythmia. A computing device receives cardiac electrogram data of a patient sensed by a medical device. The computing device obtains, via feature-based delineation of the cardiac electrogram data, a first classification of arrhythmia in the patient. The computing device applies a machine learning model to the received cardiac electrogram data to obtain a second classification of arrhythmia in the patient. As one example, the computing device uses the first and second classifications to determine whether an episode of arrhythmia has occurred in the patient. As another example, the computing device uses the second classification to verify the first classification of arrhythmia in the patient. The computing device outputs a report indicating that the episode of arrhythmia has occurred and one or more cardiac features that coincide with the episode of arrhythmia.