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Method for modeling behavior and health changes

  • US 9,836,581 B2
  • Filed: 08/16/2013
  • Issued: 12/05/2017
  • Est. Priority Date: 08/16/2012
  • Status: Active Grant
First Claim
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1. A method for using mobility-related data to improve adherence determination for a patient during a treatment regimen, the method comprising:

  • accessing a first log of user interaction with a user interface of a native communication application executing on a mobile computing device by the patient during the treatment regimen;

    generating a first patient interface comprising a first visible input region, the first patient interface defining a first digital survey for presentation at a display of the mobile computing device;

    collecting GPS data corresponding to a GPS sensor of the mobile computing device, the GPS data describing physical location of the mobile computing device and associated with location behavior of the patient during the treatment regimen;

    collecting motion data corresponding to an accelerometer system and a gyroscope system of the mobile computing device, the motion data describing physical orientation of the mobile computing device and associated with physical activity behavior of the patient during the treatment regimen;

    selecting a patient subgroup for the patient from a first subgroup and a second subgroup based on the GPS data and the motion data, wherein the first subgroup is selected in response to the physical location and the physical orientation of the mobile computing device indicating a first mobility behavior shared by the first subgroup, wherein the second subgroup is selected in response to the physical location and the physical orientation of the mobile computing device indicating a second mobility behavior shared by the second subgroup, and wherein selection of the patient subgroup is operable to improve data storage, data retrieval, and the adherence determination;

    automatically storing the first log of user interaction, the GPS data, and the motion data in association with the patient subgroup selected from the first and the second subgroups;

    retrieve a regimen adherence model based on the patient subgroup, the regimen adherence model defining a correlation between treatment regimen adherence and a communication behavior shared by the patient subgroup;

    estimating an adherence to the treatment regimen by the patient within the first time period based on the GPS data, the motion data, the regimen adherence module, and patient inputs collected during the first time period at the visible input region of the first patient interface; and

    promoting a treatment to the patient based on the patient adherence.

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