Method for managing patient quality of life

Abstract

A method and system for modeling behavior and pain-related state of an individual, the method comprising: receiving a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing activity of the individual during the time period; receiving a survey dataset including responses, to at least one of a set of symptom-assessment surveys, associated with a set of time points of the time period; generating a predictive analysis of a pain-related state of the individual associated with at least a portion of the time period, from at least one of the log of use dataset, the supplementary dataset, and the survey dataset; and generating an alert upon detection that a set of parameters from the predictive analysis of the pain-related state satisfy a threshold condition.

We claim: 
     
         1 . A method for managing pain of an individual, the method comprising:
 transmitting, from a communication module executing on a mobile device to a computing system, a log of use dataset associated with communication behavior of the individual during a time period, wherein the log of use dataset includes at least one of a phone calling component and a text messaging component;   at the computing system, receiving a supplementary dataset from sensors of the mobile device, the supplementary dataset characterizing mobility of the individual in association with the time period;   within an application executing at the mobile device, generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period;   at the computing system, generating a predictive model from a) a passive dataset derived from the log of use dataset and the supplementary dataset and b) the survey dataset;   determining a pain-related state of the individual, associated with at least a portion of the time period, from at least one of the passive dataset, the survey dataset, and an output of the predictive model;   at the computing system, upon detection that the pain-related state of the individual satisfies a threshold condition, enabling a communicable link with at least one of the mobile device of the individual and a care provider computing device; and   by way of the communicable link, automatically initiating provision of a therapeutic intervention for the individual by way of at least one of the computing system and the mobile device.