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System and method of applying state of being to health care delivery

  • US 9,305,140 B2
  • Filed: 07/16/2012
  • Issued: 04/05/2016
  • Est. Priority Date: 07/16/2012
  • Status: Active Grant
First Claim
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1. A system for assisting a patient to select a treatment, comprising:

  • an interface for a monitoring section that monitors a health status of the patient;

    an inference section that infers medical information about the patient based at least in part on social behavior data of the patient from at least one social network;

    a patient database that stores patient information; and

    a symptom engine that stores symptom data of medical conditions;

    wherein the inference section comprises an integration and inference module configured to integrate data from a plurality of data sources including the health status and the medical information and compare against symptom data stored in the symptom engine to determine a treatment response;

    wherein the inference section comprises a medical trend analysis module configured to determine a medical trend associated with the patient information; and

    wherein the inference section is configured to continually infer a state of being including recent mood information for the patient by identifying abnormal or normal behaviors of the patient based at least in part on social behavior data of the patient to determine and deliver a notification of the treatment response;

    wherein the inference section further infers the state of being of the patient as the medical information based on a symptom of the patient and information obtained through the at least one social network, the information including at least one or more of time spent on the social network by the patient and frequency of visit by the patient to the social network; and

    wherein the inference section further infers the medical trend as the medical information based on a symptom of the patient and data regarding select members of the at least one social network, the select members being members of a family circle of the patient on the social network.

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