US2023293071A1PendingUtilityA1

Method and system for dynamically generating therapeutic content based on the psychological state of a user of a digital therapeutic system

Assignee: MAHANA THERAPEUTICS INCPriority: Dec 17, 2019Filed: May 24, 2023Published: Sep 21, 2023
Est. expiryDec 17, 2039(~13.4 yrs left)· nominal 20-yr term from priority
Inventors:Simon Levy
G06N 3/0895G06N 3/09A61B 5/165A61B 5/162A61B 5/7267A61B 5/7275A61B 5/747A61B 5/7475G06N 20/00G09B 7/00G06N 3/08G06F 3/048G16H 50/20G16H 20/70G16H 80/00G06N 5/04
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Claims

Abstract

An application user is granted access to one or more applications that provide the user with information and assistance. Through the one or more applications, the user is provided with interactive content, and data related to aspects of the user's interaction with the provided content is collected. The collected interaction data is analyzed to remotely identify and monitor changes or anomalies in the psychological state of the user. Upon identification of changes or anomalies in the user's psychological state, one or more actions are taken to assist the user.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A computing system implemented method comprising:
 providing a digital therapeutic system to one or more users;   identifying one or more physiological conditions of the one or more users;   providing, by one or more processors of the digital therapeutic system, the one or more users with therapeutic content through a user interface of the digital therapeutic system, wherein the therapeutic content provides treatment for one or more of the physiological conditions of the one or more users;   remotely monitoring, by one or more processors of the digital therapeutic system, interactions of the one or more users with the therapeutic content provided through the user interface to generate user interaction data representing the interactions of the one or more users with the therapeutic content during a defined period of time;   processing, by one or more processors of the digital therapeutic system, the user interaction data for the one or more users to generate average user interaction data representing average measurements associated with interactions between the one or more users and the therapeutic content provided through the user interface;   providing the digital therapeutic system to a current patient user;   identifying one or more physiological conditions of the current patient user;   digitally generating, by one or more processors of the digital therapeutic system, current therapeutic content, wherein the current therapeutic content provides the current patient user with treatment for one or more of the current patient user's physiological conditions;   providing, by one or more processors of the digital therapeutic system, the current patient user with the digitally generated current therapeutic content through the user interface of the digital therapeutic system during a current session of the current patient user interacting with the digital therapeutic system;   remotely monitoring, by one or more processors of the digital therapeutic system, interactions of the current patient user with the current therapeutic content provided through the user interface to generate current patient user interaction data representing the interactions of the current patient user with the current therapeutic content during the current session;   defining one or more threshold user interaction differentials representing one or more maximum allowable variations between a current patient user's current user interaction data and average user interaction data associated with one or more users other than the current patient user;   generating threshold user interaction differential data representing the one or more threshold user interaction differentials;   generating, by one or more processors of the digital therapeutic system, during the current session, current patient user interaction differential data representing one or more differentials between the current patient user interaction data and the average user interaction data; and   if a current patient user interaction differential represented by the current patient user interaction differential data is greater than one or more of the threshold user interaction differentials represented by the threshold user interaction differential data:
 determining that one or more anomalies exist in the current patient user's current mental state; 
 digitally generating, by one or more processors of the digital therapeutic system, during the current session, dynamically modified current therapeutic content based at least in part on the one or more anomalies in the current patient user's current mental state; and 
 automatically providing, using one or more processors of the digital therapeutic system, during the current session, the current patient user with the dynamically modified current therapeutic content through the user interface of the digital therapeutic system. 
   
     
     
         2 . The computing system implemented method of  claim 1  wherein processing the user interaction data for the one or more users further includes:
 for each of the one or more users, obtaining mental state data for the user during the defined period of time in which the user is interacting with the therapeutic content; 
 for each of the one or more users, correlating each user's user interaction data with that user's mental state data; 
 collecting and processing the correlated user interaction data and user mental state data for each of the one or more users to generate machine learning-based mental state prediction model training data; and 
 providing the machine learning-based mental state prediction model training data to one or more machine learning-based prediction models to generate one or more trained machine learning-based mental state prediction models. 
 
     
     
         3 . The computing system implemented method of  claim 2  wherein determining that one or more anomalies exist in the current patient user's current mental state includes:
 providing the current patient user interaction data to the one or more trained machine learning-based mental state prediction models; and 
 receiving current patient user mental state prediction data from the one or more trained machine learning-based mental state prediction models. 
 
     
     
         4 . The computing system implemented method of  claim 1  wherein the therapeutic content provided to a user through the user interface of the digital therapeutic system includes one or more of:
 textual information related to the user's one or more physiological conditions; 
 audio information related to the user's one or more physiological conditions; 
 graphical information related to the user's one or more physiological conditions. 
 image information related to the user's one or more physiological conditions; and 
 video information related to the user's one or more physiological conditions. 
 
     
     
         5 . The computing system implemented method of  claim 1  wherein monitoring interactions of a user includes monitoring one or more of:
 click-stream input; 
 textual input; 
 touch input; 
 gesture input; 
 audio input; 
 image input; 
 video input; 
 accelerometer input; and 
 physiological input. 
 
     
     
         6 . The computing system implemented method of  claim 1  wherein monitoring interactions of a user includes one or more of:
 monitoring a speed at which the user interacts with the therapeutic content provided through the user interface; and 
 monitoring the user's comprehension of the therapeutic content provided through the user interface. 
 
     
     
         7 . The computing system implemented method of  claim 6  wherein the speed at which the user interacts with the therapeutic content provided through the user interface is measured by monitoring one or more of:
 the speed at which the user scrolls through the therapeutic content provided through the user interface; 
 the speed at which the user clicks through the therapeutic content provided through the user interface; and 
 the speed at which the user enters text through the user interface. 
 
     
     
         8 . The computing system implemented method of  claim 6  wherein the user's comprehension of the therapeutic content provided through the user interface is measured by one or more of:
 presenting the user with questions related to the provided therapeutic content; and 
 determining a percentage of the provided therapeutic content that the user has interacted with. 
 
     
     
         9 . The computing system implemented method of  claim 1  wherein, upon determining that one or more anomalies exist in the current patient user's current mental state, one or more actions are taken, including one or more of:
 adjusting presentation of the therapeutic content provided to the current patient user; 
 adjusting the therapeutic content provided to the current patient user; 
 requesting information from the current patient user; 
 contacting the current patient user directly; 
 contacting a third party on the current patient user's behalf; 
 adding a note to the current patient user's file for review by a third party; and 
 flagging the current patient user's file for attention by a third party. 
 
     
     
         10 . A computing system implemented method comprising:
 providing a digital therapeutic system to a patient user;   identifying one or more physiological conditions of the patient user;   providing, by one or more processors of the digital therapeutic system, the patient user with therapeutic content through a user interface of the digital therapeutic system, wherein the therapeutic content provides treatment for one or more of the physiological conditions of the patient user;   remotely monitoring, by one or more processors of the digital therapeutic system, interactions of the patient user with the therapeutic content provided through the user interface to generate historical user interaction data representing the historical interactions of the patient user with the therapeutic content during a defined period of time;   processing, by one or more processors of the digital therapeutic system, the historical user interaction data for the patient user to generate baseline user interaction data representing baseline measurements associated with interactions between the patient user and the therapeutic content provided through the user interface;   digitally generating, by one or more processors of the digital therapeutic system, current therapeutic content, wherein the current therapeutic content provides the patient user with treatment for one or more of the patient user's physiological conditions;   providing, by one or more processors of the digital therapeutic system, the patient user with the digitally generated current therapeutic content through the user interface of the digital therapeutic system during a current session of the patient user interacting with the digital therapeutic system;   remotely monitoring, by one or more processors of the digital therapeutic system, interactions of the patient user with the current therapeutic content provided through the user interface to generate current user interaction data representing the interactions of the patient user with the current therapeutic content during the current session;   defining one or more threshold user interaction differentials representing one or more maximum allowable variations between a user's current user interaction data and a user's baseline user interaction data;   generating threshold user interaction differential data representing the one or more threshold user interaction differentials;   generating, by one or more processors of the digital therapeutic system, during the current session, current user interaction differential data representing one or more differentials between the patient user's current user interaction data and the patient user's baseline user interaction data;   if a current user interaction differential represented by the current user interaction differential data is greater than one or more of the threshold user interaction differentials represented by the threshold user interaction differential data:
 determining that one or more anomalies exist in the patient user's current mental state; 
 digitally generating, by one or more processors of the digital therapeutic system, during the current session, dynamically modified current therapeutic content based at least in part on the one or more anomalies in the patient user's current mental state; and 
 automatically providing, using one or more processors of the digital therapeutic system, during the current session, the patient user with the dynamically modified current therapeutic content through the user interface of the digital therapeutic system. 
   
     
     
         11 . The computing system implemented method of  claim 10  wherein processing the historical user interaction data for the patient user further includes:
 obtaining mental state data for the patient user during the defined period of time in which the patient user is interacting with the therapeutic content; 
 correlating the patient user's historical interaction data with the patient user's mental state data; 
 collecting and processing the correlated historical user interaction data and mental state data for the patient user to generate machine learning-based mental state prediction model training data; and 
 providing the machine learning-based mental state prediction model training data to one or more machine learning-based prediction models to generate one or more trained machine learning-based mental state prediction models. 
 
     
     
         12 . The computing system implemented method of  claim 11  wherein determining that one or more anomalies exist in the patient user's current mental state includes:
 providing the patient user's current user interaction data to the one or more trained machine learning-based mental state prediction models; and 
 receiving current patient user mental state prediction data from the one or more trained machine learning-based mental state prediction models. 
 
     
     
         13 . The computing system implemented method of  claim 10  wherein the therapeutic content provided to the patient user through the user interface of the digital therapeutic system includes one or more of:
 textual information related to the patient user's one or more physiological conditions; 
 audio information related to the patient user's one or more physiological conditions; 
 graphical information related to the patient user's one or more physiological conditions. 
 image information related to the patient user's one or more physiological conditions; and 
 video information related to the patient user's one or more physiological conditions. 
 
     
     
         14 . The computing system implemented method of  claim 10  wherein monitoring interactions of the patient user includes remotely monitoring one or more of:
 click-stream input; 
 textual input; 
 touch input; 
 gesture input; 
 audio input; 
 image input; 
 video input; 
 accelerometer input; and 
 physiological input. 
 
     
     
         15 . The computing system implemented method of  claim 10  wherein monitoring interactions of the patient user includes one or more of:
 monitoring a speed at which the patient user interacts with the therapeutic content provided through the user interface; and 
 monitoring the patient user's comprehension of the therapeutic content provided through the user interface. 
 
     
     
         16 . The computing system implemented method of  claim 15  wherein the speed at which the patient user interacts with the therapeutic content provided through the user interface is measured by monitoring one or more of:
 the speed at which the patient user scrolls through the therapeutic content provided through the user interface; 
 the speed at which the patient user clicks through the therapeutic content provided through the user interface; and 
 the speed at which the patient user enters text through the user interface. 
 
     
     
         17 . The computing system implemented method of  claim 15  wherein the patient user's comprehension of the therapeutic content provided through the user interface is measured by one or more of:
 presenting the patient user with questions related to the provided therapeutic content; and 
 determining a percentage of the provided therapeutic content that the patient user has interacted with. 
 
     
     
         18 . The computing system implemented method of  claim 10  wherein, upon determining that one or more anomalies exist in the patient user's current mental state, one or more actions are taken, including one or more of:
 adjusting presentation of the current therapeutic content provided to the patient user; 
 adjusting the current therapeutic content provided to the patient user; 
 requesting information from the patient user; 
 contacting the patient user directly; 
 contacting a third party on the patient user's behalf; 
 adding a note to the patient user's file for review by a third party; and 
 flagging the patient user's file for attention by a third party. 
 
     
     
         19 . A computing system implemented method comprising:
 obtaining average user interaction data representing average measurements associated with interactions between one or more users and therapeutic content provided through a user interface of a digital therapeutic system;   providing the digital therapeutic system to a current patient user;   identifying one or more physiological conditions of the current patient user;   digitally generating, by one or more processors of the digital therapeutic system, current therapeutic content, wherein the current therapeutic content provides the current patient user with treatment for one or more of the current patient user's physiological conditions;   providing, by one or more processors of the digital therapeutic system, the current patient user with the digitally generated current therapeutic content through the user interface of the digital therapeutic system during a current session of the current patient user interacting with the digital therapeutic system;   remotely monitoring, by one or more processors of the digital therapeutic system, interactions of the current patient user with the current therapeutic content provided through the user interface to generate current patient user interaction data representing the interactions of the current patient user with the current therapeutic content during the current session;   defining one or more threshold user interaction differentials representing one or more maximum allowable variations between a current patient user's current user interaction data and average user interaction data associated with one or more users other than the current patient user;   generating threshold user interaction differential data representing the one or more threshold user interaction differentials;   generating, by one or more processors of the digital therapeutic system, during the current session, current patient user interaction differential data representing one or more differentials between the current patient user interaction data and the average user interaction data;   if a current patient user interaction differential represented by the current patient user interaction differential data is greater than one or more of the threshold user interaction differentials represented by the threshold user interaction differential data:
 determining that one or more anomalies exist in the current patient user's current mental state; 
 digitally generating, by one or more processors of the digital therapeutic system, during the current session, dynamically modified current therapeutic content based at least in part on the one or more anomalies in the current patient user's current mental state; and 
 automatically providing, using one or more processors of the digital therapeutic system, during the current session, the current patient user with the dynamically modified current therapeutic content through the user interface of the digital therapeutic system. 
   
     
     
         20 . A computing system implemented method comprising:
 obtaining baseline user interaction data representing baseline measurements associated with interactions between a patient user and therapeutic content provided through a user interface of a digital therapeutic system;   identifying one or more physiological conditions of the patient user;   digitally generating, by one or more processors of the digital therapeutic system, current therapeutic content, wherein the current therapeutic content provides the patient user with treatment for one or more of the patient user's physiological conditions;   providing, by one or more processors of the digital therapeutic system, the patient user with the digitally generated current therapeutic content through the user interface of the digital therapeutic system during a current session of the patient user interacting with the digital therapeutic system;   remotely monitoring, by one or more processors of the digital therapeutic system, interactions of the patient user with the current therapeutic content provided through the user interface to generate current patient user interaction data representing the interactions of the patient user with the current therapeutic content during the current session;   defining one or more threshold user interaction differentials representing one or more maximum allowable variations between a user's current user interaction data and a user's baseline user interaction data;   generating threshold user interaction differential data representing the one or more threshold user interaction differentials;   generating, by one or more processors of the digital therapeutic system, during the current session, current user interaction differential data representing one or more differentials between the patient user's current user interaction data and the patient user's baseline user interaction data;   if a current user interaction differential represented by the current user interaction differential data is greater than one or more of the threshold user interaction differentials represented by the threshold user interaction differential data:
 determining that one or more anomalies exist in the patient user's current mental state; 
 digitally generating, by one or more processors of the digital therapeutic system, during the current session, dynamically modified current therapeutic content based at least in part on the one or more anomalies in the patient user's current mental state; and 
 automatically providing, using one or more processors of the digital therapeutic system, during the current session, the patient user with the dynamically modified current therapeutic content through the user interface of the digital therapeutic system.

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