System and method for point of care based on real-time prediction of addiction triggers

Abstract

A system comprising an assessment engine configured to asynchronously transmit assessment questions to a user and, in response, receive a plurality of personal data from a user. A behavior module communicatively coupled to the assessment engine and operable to generate a behavior profile associated with the user based, at least in part, on the plurality of personal data. The behavior profile configured to identify one or more addiction habits of the user and respective one or more triggers operable to induce the user to desire the one or more addiction habits. A plurality of sensors positioned proximate the user to provide real-time measurements of one or more biological conditions of the user body. A prediction module communicatively coupled to the plurality of sensors, the prediction module operable to predict occurrence of the one or more triggers based on the behavioral profile and the real-time measurements of the one or more biological conditions of the user body.

What is claimed is: 
     
         1 . A non-transitory computer readable medium having a memory and instructions stored therein that when executed by a processor performs a method comprising:
 collecting a plurality of personal data from a user in response to assessment questions;   generating a behavior profile associated with the user based, at least in part, on the plurality of personal data collected from the user, the behavior profile configured to identify one or more addiction habits of the user and respective one or more triggers operable to induce the user to desire the one or more addiction habits; and   predicting occurrence of the one or more triggers in response to real-time bio-sensor feedback of the user.   
     
     
         2 . The non-transitory computer readable medium of  claim 1 , wherein collecting the plurality of personal data occurs in response to asynchronous transmission of the assessment questions to the user. 
     
     
         3 . The non-transitory computer readable medium of  claim 2 , wherein the asynchronous transmission of the assessment questions to the user includes determining subsequent ones of the assessment questions based on detecting social media patterns of the user. 
     
     
         4 . The non-transitory computer readable medium of  claim 3 , wherein the asynchronous transmission of the assessment questions to the user includes determining subsequent ones of the assessment questions based on the user response time to prior ones of the assessment questions. 
     
     
         5 . The non-transitory computer readable medium of  claim 4 , wherein generating the behavior profile includes identifying patterns of behavior from social media patterns of the user. 
     
     
         6 . The non-transitory computer readable medium of  claim 5 , wherein generating the behavior profile further includes identifying the user response time to each of the assessment questions. 
     
     
         7 . The non-transitory computer readable medium of  claim 1 , wherein real-time bio-sensor feedback includes at least one of heart rate, breathing rate, or body temperature. 
     
     
         8 . The non-transitory computer readable medium of  claim 1 , wherein predicting occurrence of the one or more triggers includes receiving geolocation information of the user in real-time. 
     
     
         9 . The non-transitory computer readable medium of  claim 1 , wherein collecting the plurality of personal data from the user includes collecting at least one of medical, behavioral, or familial history. 
     
     
         10 . The non-transitory computer readable medium of  claim 1 , further comprising initiating an intervention policy in response to detecting occurrence of the one or more triggers. 
     
     
         11 . A system comprising:
 an assessment engine configured to asynchronously transmit assessment questions to a user and, in response, receive a plurality of personal data from a user;   a behavior module communicatively coupled to the assessment engine, the behavior module operable to generate a behavior profile associated with the user based, at least in part, on the plurality of personal data, the behavior profile configured to identify one or more addiction habits of the user and respective one or more triggers operable to induce the user to desire the one or more addiction habits;   a plurality of sensors positioned proximate the user to provide real-time measurements of one or more biological conditions of the user body; and   a prediction module communicatively coupled to the plurality of sensors, the prediction module operable to predict occurrence of the one or more triggers based on the behavioral profile and the real-time measurements of the one or more biological conditions of the user’s body.   
     
     
         12 . The system of  claim 11 , further comprising a machine learning module communicatively coupled to the assessment engine and configured to detect social media patterns of the user. 
     
     
         13 . The system of  claim 12 , wherein the assessment engine determines subsequent ones of the plurality of assessment questions to transmit to the user based on the detected social media patterns of the user. 
     
     
         14 . The system of  claim 12 , wherein the assessment engine further calculates user response times to each of the plurality of assessment questions and determines subsequent ones of the plurality of assessment questions to transmit to the user based on the user response times. 
     
     
         15 . The system of  claim 12 , wherein the behavior module is communicatively coupled to the machine learning module and configured to generate the behavior profile based, at least in part, on the social media patterns of the user. 
     
     
         16 . The system of  claim 12 , wherein the behavior module is communicatively coupled to the assessment engine and configured to generate the behavior profile based, at least in part, on the user response times to each of the plurality of assessment questions. 
     
     
         17 . The system of  claim 11 , wherein the real-time measurements of the one or more biological conditions of the user body comprise at least one of heart rate, breathing rate, perspiration level, or body temperature. 
     
     
         18 . The system of  claim 11 , wherein at least one of the plurality of sensors further detects geolocation of the user in real-time. 
     
     
         19 . The system of  claim 11 , wherein the plurality of personal data comprises at least one of medical, behavioral, or familial history. 
     
     
         20 . The system of  claim 11 , wherein the prediction module is operable to alert at least one of the user, mental health physician, or a social worker in response to prediction of the occurrence of the one or more triggers.