US2023061435A1PendingUtilityA1

Predicting adverse health events using a measure of adherence to a testing routine

Assignee: HARMONIZE INCPriority: Feb 4, 2021Filed: Aug 26, 2022Published: Mar 2, 2023
Est. expiryFeb 4, 2041(~14.5 yrs left)· nominal 20-yr term from priority
G06N 20/00G16H 40/63G16H 50/30G16H 50/20G06N 5/04G16H 40/20
58
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Claims

Abstract

The present disclosure describes systems and methods for predicting adverse health events of patients. In one embodiment, a system obtains a dataset including a plurality of values for each of a plurality of health measurements. The system can obtain the dataset in real-time or substantially real-time after a patient has taken the plurality of health measurements. The system can also obtain metadata about the dataset. The metadata may include a measure of the patient's adherence or non-adherence to a testing routine. The measure of non-adherence may indicate, for example, the quantity of days in a particular time period that the patient failed to conduct the testing routine. The system can apply an algorithm to the dataset and the metadata to generate a risk score. The risk score may indicate the likelihood that the subject will experience an adverse health event.

Claims

exact text as granted — not AI-modified
1 . (canceled) 
     
     
         2 . A method for providing health alerts via a graphical user interface (GUI) of a computer system, the method comprising:
 (a) periodically providing, via the GUI, a prompt to perform a testing procedure to a subject;   (b) determining, by a processor, a set of instructions for performing the testing procedure responsive to the prompt, the set of instructions based at least in part on an integration of the computer system with a plurality of health sensors;   (c) providing the set of instructions, via the GUI, to the subject;   (d) receiving data from the plurality of health sensors, the data comprising a measure of adherence to the testing procedure;   (e) automatically generating one or more predictions with one or more algorithms based at least in part on data from the plurality of health sensors; and   (f) providing a real-time alert, via the GUI, based at least in part on the one or more predictions.   
     
     
         3 . The method of  claim 2 , wherein the integration of the computer system with the plurality of health sensors is performed by automatically pairing the health sensor to one or more devices of the computer system. 
     
     
         4 . The method of  claim 2 , wherein a pairing procedure for a health sensor is based at least in part on the testing procedure. 
     
     
         5 . The method of  claim 4 , wherein a health sensor is paired according to the testing procedure. 
     
     
         6 . The method of  claim 4 , wherein a health sensor is unpaired according to the testing procedure. 
     
     
         7 . The method of  claim 4 , wherein a pairing procedure for a health sensor comprises i) obtaining a list of available sensors. 
     
     
         8 . The method of  claim 2 , wherein an instruction of the set of instructions is audible, textual, pictorial, animated, or some combination thereof. 
     
     
         9 . The method of  claim 8 , wherein the instruction comprises displaying an image of a health sensor. 
     
     
         10 . The method of  claim 8 , wherein the instruction comprises announcing the name of a health sensor. 
     
     
         11 . The method of  claim 8 , wherein the instruction comprises providing a description of the health sensor. 
     
     
         12 . The method of  claim 2 , wherein a format for the instructions may be specified by the subject. 
     
     
         13 . The method of  claim 2 , further comprising, prior to (d), indicating a progress of a measurement by a health sensor via the GUI. 
     
     
         14 . The method of  claim 2 , wherein the indication is a visual indication or an audible indication. 
     
     
         15 . The method of  claim 2 , further comprising, prior to (d), determining whether a measurement by a health sensor is valid or invalid. 
     
     
         16 . The method of  claim 15 , further comprising providing an instruction to retake the measurement via the GUI if the measurement by the health sensor is invalid. 
     
     
         17 . The method of  claim 2 , wherein the GUI is configured to be displayable on a mobile device. 
     
     
         18 . The method of  claim 17 , wherein the mobile device is an electronic tablet. 
     
     
         19 . The method of  claim 2 , wherein the plurality of health sensors is configurable via a visual code. 
     
     
         20 . The method of  claim 17 , wherein the visual code is a barcode or quick response (QR) code. 
     
     
         21 . The method of  claim 2 , wherein the alert is displayable on an electronic display.

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