Robust Health Tracking Service

Abstract

A solution is provided to monitor and to analyze a user's medicine consumption related to a prescribed therapeutic regimen or a prescribed medication anywhere and anytime through a variety of sensors attached to a health tracking device, e.g., a pillbox. A health tracking service analyzes the sensor data collected by the sensors of the pillbox, e.g., by correlating the sensor data with selected historical health data of the user, and generating health related suggestions for the user based on the correlation. The analysis, recommendations and instructions are presented in a user friendly way to users on users' various consumer electronic devices, such as computers, mobile devices, television sets, and any other suitable electronic devices.

What is claimed is: 
     
         1 . A computer-implemented method comprising:
 receiving, from a health monitoring device, a set of health measurements for a user of a health tracking system;   accessing stored historical health data of the user;   analyzing, using a trained model, the received health measurements and the historical health data of the user;   selecting one or more content items based on the analysis of the received health measurements and the historical health data of the user; and   presenting the selected one or more content items to the user of the health tracking system.   
     
     
         2 . The method of  claim 1 , wherein the health monitoring device is configured to measure at least one of the user's activity, ingestion, nourishment, hydration, body weight, biometric data, heart rate, heart rate variability, respiration, blood pressure, quality of sleep and pulse oxygenation. 
     
     
         3 . The method of  claim 1 , further comprising:
 receiving tracking data from a tracking device, the tracking data corresponding to the user's adherence to a therapeutic regime; and   correlating the received tracking data and the health measurements for the user,   wherein the selection of the one or more content items is further based on the correlation between the received tracking data and the health measurements for the user.   
     
     
         4 . The method of  claim 3 , wherein the tracking device is a pillbox having one or more sensors for recording events based on the user opening or closing one or more bins of the pillbox. 
     
     
         5 . The method of  claim 1 , wherein at least a portion of the historical health data is received from one or more external sources, the historical health data comprising electronic medical records from various health record sources. 
     
     
         6 . The method of  claim 1 , wherein the one or more content items comprise at least one of therapeutic regimens, health products, health literature, media and services that have a correlation with improving the user's wellness. 
     
     
         7 . The method of  claim 1 , further comprising:
 providing the one or more content items to a group of users associated with the user of the health tracking system.   
     
     
         8 . The method of  claim 1 , further comprising:
 receiving an identification of a medication being consumed by the user of the health tracking system;   correlating the medication being consumed by the user and the received health measurements for the user; and   identifying a health condition based on the correlation between the medication being consumed by the user and the received health measurements for the user,   wherein the one or more content items are further selected based on the identified health condition.   
     
     
         9 . The method of  claim 1 , further comprising:
 traversing an adaptive decision tree based on the received health measurements for the user of a health tracking system;   generating a plurality of health recommendations for the user based on the adaptive decision tree; and   providing the plurality of health recommendations to at least one of the user and a group of users associated with the user.   
     
     
         10 . The method of  claim 9 , wherein each node of the adaptive decision tree represents a content item for presentation to users of the health tracking system. 
     
     
         11 . A non-transitory computer readable storage medium configured to store instructions, the instructions when executed by a processor cause the processor to:
 receive, from a health monitoring device, a set of health measurements for a user of a health tracking system;   access stored historical health data of the user;   analyze, using a trained model, the received health measurements and the historical health data of the user;   select one or more content items based on the analysis of the received health measurements and the historical health data of the user; and   present the selected one or more content items to the user of the health tracking system.   
     
     
         12 . The non-transitory computer readable storage medium of  claim 11 , wherein the health monitoring device is configured to measure at least one of the user's activity, ingestion, nourishment, hydration, body weight, biometric data, heart rate, heart rate variability, respiration, blood pressure, quality of sleep and pulse oxygenation. 
     
     
         13 . The non-transitory computer readable storage medium of  claim 11 , wherein the instructions when executed by the processor further cause the processor to:
 receive tracking data from a tracking device, the tracking data corresponding to the user's adherence to a therapeutic regime; and   correlate the received tracking data and the health measurements for the user,   wherein the selection of the one or more content items is further based on the correlation between the received tracking data and the health measurements for the user.   
     
     
         14 . The non-transitory computer readable storage medium of  claim 13 , wherein the tracking device is a pillbox having one or more sensors for recording events based on the user opening or closing one or more bins of the pillbox. 
     
     
         15 . The non-transitory computer readable storage medium of  claim 11 , wherein at least a portion of the historical health data is received from one or more external sources, the historical health data comprising electronic medical records from various health record sources. 
     
     
         16 . The non-transitory computer readable storage medium of  claim 11 , wherein the one or more content items comprise at least one of therapeutic regimens, health products, health literature, media and services that have a correlation with improving the user's wellness. 
     
     
         17 . The non-transitory computer readable storage medium of  claim 11 , wherein the instructions when executed by the processor further cause the processor to:
 providing the one or more content items to a group of users associated with the user of the health tracking system.   
     
     
         18 . The non-transitory computer readable storage medium of  claim 11 , wherein the instructions when executed by the processor further cause the processor to:
 receiving an identification of a medication being consumed by the user of the health tracking system;   correlating the medication being consumed by the user and the received health measurements for the user; and   identifying a health condition based on the correlation between the medication being consumed by the user and the received health measurements for the user,   wherein the one or more content items are further selected based on the identified health condition.   
     
     
         19 . The non-transitory computer readable storage medium of  claim 11 , wherein the instructions when executed by the processor further cause the processor to:
 traversing an adaptive decision tree based on the received health measurements for the user of a health tracking system;   generating a plurality of health recommendations for the user based on the adaptive decision tree; and   providing the plurality of health recommendations to at least one of the user and a group of users associated with the user.   
     
     
         20 . The non-transitory computer readable storage medium of  claim 19 , wherein each node of the adaptive decision tree represents a content item for presentation to users of the health tracking system.