| CPC G16H 50/30 (2018.01) [G16H 10/60 (2018.01); G16H 20/10 (2018.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 80/00 (2018.01)] | 9 Claims |
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1. A system comprising:
one or more processors; and
a non-transitory computer-readable memory device communicably coupled with the one or more processors;
wherein the one or more processors are configured to execute a plurality of modules stored in the non-transitory computer-readable memory device, and wherein the plurality of modules comprises:
a cognitive training application comprising a plurality of computerized stimuli or interactions configured to be presented to an individual under study at a display of a computing device,
wherein the computing device comprises a motion sensor and/or a position sensor,
wherein the plurality of computerized stimuli or interactions comprise a primary task configured to elicit a physical action from the individual under study at an input device of the computing device, and a secondary task configured to distract the individual under study from performing the primary task,
wherein the cognitive training application is configured to simultaneously measure data indicative of a first response from the individual under study to the primary task and a second response from the individual under study to the secondary task;
an end user application configured to render a graphical user interface to a first user at a first user device, wherein the end user application is configured to enable the first user to:
configure one or more user roles for one or more other users of the end user application, wherein the one or more other users comprise a healthcare practitioner user;
provide one or more user-generated inputs associated with one or more of behavior data and symptom measurement data associated with a condition of the individual under study, and define access permissions for the one or more user roles;
an authentication module configured to execute one or more operations for enforcing the access permissions such that the one or more user roles are selectively limited to providing and accessing a first subset of the behavior data and symptom measurement data within the end user application;
an analytics module configured to execute one or more operations for:
receiving a plurality of user activity data from an instance of the cognitive training application,
wherein the plurality of user activity data comprises motion sensor data and/or position sensor data received via the computing device in response to one or more motion-specific responses and/or position-specific responses from the individual under study; and
analyzing the plurality of user activity data, the behavior data and the symptom measurement data according to a machine learning framework comprising a classifier model configured to classify the plurality of user activity data, the behavior data and the symptom measurement data to generate a composite profile comprising one or more composite variables,
wherein the one or more composite variables comprise a measure of correlation with therapy compliance or treatment response based on a training dataset comprising training measurement data from subjects that are classified as to a known measure of therapy compliance or treatment response; and
a reporting module configured to execute one or more operations for:
processing the classified plurality of user activity data, the behavior data and the symptom measurement data to generate an analysis report for the individual under study,
wherein the symptom measurement data comprises physiological signals selected from electrical activity, heart rate, blood flow, and oxygenation levels, received from a physiological measurement component,
wherein the analysis report comprises an indication of a cognitive measure of the individual under study based on the composite profile, and
presenting the analysis report, including the classification, to the healthcare practitioner user via a role-based user instance of the end user application,
wherein the healthcare practitioner user modifies a course of treatment for the individual under study according to the analysis report.
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