Population health platform
AssigneeHarmonize Inc.
InventorsKevin Zhao, Juvairiya Saidu Pulicharam
Life of this patent
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Abstract
The present disclosure provides systems, methods, and kits for collecting health measurement data and processing the health measurement data to generate alerts and modify patient treatment plans. An example system can be configured to (i) receive data defining a plurality of health sensors; and (ii) generate, based on the data, application logic configured to cause, in response to one user input, a user device to: (a) couple to the plurality of health sensors, thereby establishing communication between the user device and each of the plurality of health sensors, and (b) provide instructions to a user of the user device through an interface of the user device. The instructions can comprise instructions for taking health measurements using the plurality of health sensors.
Claims22
A computer-implemented method, comprising:
- (a) retrieving configuration information from an image of a visual code;
- (b) based at least in part on the configuration information, providing, through a user interface of a mobile device of a subject, a set of instructions unique to the subject for taking one or more health measurements, wherein the mobile device is automatically paired to a plurality of health sensors for taking the one or more health measurements, thereby establishing wireless communication between said mobile device and each of said plurality of health sensors, wherein each of the plurality of health sensors is paired to the mobile device using a different pairing procedure;
- (c) subsequent to the subject taking the one or more health measurements using the one or more health sensors, obtaining from the mobile device a dataset corresponding to the one or more health measurements;
- (d) determining whether the dataset satisfies an initial alert criterion;
- (e) in response to (c), obtaining an electronic health record of the subject when the dataset is determined to satisfy the initial alert criterion;
- and
- (f) processing the dataset and the electronic health record of the subject using one or more machine learning algorithms to generate an alert classification having a priority level, which priority level is selected from a range of different priority levels, wherein the machine learning algorithm is trained at least in part on previous health measurements that resulted in true alerts, wherein a true alert is an alert associated with a deviation from a baseline health measurement.
Dependencies are inferred from the claim text.