Predictive analysis of predicted microvascular outcomes using predictive models

Patent metadata

Field	Value
Publication number	US-2023268076-A1
Application number	US-202218051652-A
Country	US
Kind code	A1
Filing date	Nov 1, 2022
Priority date	Feb 22, 2022
Publication date	Aug 24, 2023
Grant date	—

Abstract

There is a need for more effective and efficient health risk assessment and prevention. This need is addressed by utilizing microvascular information as a component in an integrated health risk score. An example method can include receiving a microvascular data object for a user that is indicative of a microvascular volume differential for the user; determining a plurality of predictive outcome features for a predicted microvascular outcome; determining, using a feature prediction model, one or more impact predictions for the plurality of predictive outcome features; generating, based at least in part on the microvascular data object and the one or more impact predictions, an outcome risk score data object for the user; and generating, using a refined remedial model, and based at least in part, on the outcome risk score data object, at least one tailored remedial measure for the user.

First claim

1 . A computer-implemented method for predicting predicted microvascular outcomes using microvascular data objects, the computer-implemented method comprising:
receiving, by one or more processors, a microvascular data object for a user, the microvascular data object indicative of a microvascular volume differential for the user; determining, by the one or more processors, a plurality of predictive outcome features for a predicted microvascular outcome; determining, by the one or more processors and using a feature prediction model, one or more impact predictions for the plurality of predictive outcome features; generating, by the one or more processors and based at least in part on the microvascular data object and the one or more impact predictions, an outcome risk score data object for the user; and generating, by the one or more processors, using a refined remedial model and based at least in part on the outcome risk score data object, at least one tailored remedial measure for the user.

2 . The computer-implemented method of claim 1 , wherein the microvascular data object is associated with one or more volume-based measurement techniques.

3 . The computer-implemented method of claim 2 , wherein the one or more volume-based measurement techniques comprise a peripheral artery disease screen.

4 . The computer-implemented method of claim 1 , wherein the microvascular data object is indicative of a presence or severity of peripheral artery disease.

5 . The computer-implemented method of claim 1 , further comprising:
generating, by the one or more processors, the outcome risk score data object for the user in response to a determination that the microvascular data object does not achieve a threshold differential.

6 . The computer-implemented method of claim 1 , wherein the predicted microvascular outcome comprises a major adverse cardiovascular event.

7 . The computer-implemented method of claim 1 , wherein the outcome risk score data object for the user is indicative of a risk of an occurrence of the predicted microvascular outcome within a one-to-three-year time span.

8 . The computer-implemented method of claim 1 , wherein the one or more impact predictions for the plurality of predictive outcome features are indicative of a potential impact of a predictive outcome feature for the predicted microvascular outcome on the outcome risk score data object.

9 . The computer-implemented method of claim 1 , further comprising:
receiving, by the one or more processors, a historical microvascular data object for a plurality of users, wherein the historical microvascular data object is indicative of a plurality of microvascular data objects for the plurality of users; and generating, by the one or more processors, the feature prediction model based at least in part on the historical microvascular data object, wherein the feature prediction model is configured to predict the one or more impact predictions for the plurality of predictive outcome features based at least in part on one or more mapped relationships between the historical microvascular data object and the plurality of predictive outcome features over time.

10 . The computer-implemented method of claim 9 , further comprising:
generating, by the one or more processors and using the feature prediction model, the refined remedial model, wherein the refined remedial model is continuously refined based at least in part on real world data.

11 . The computer-implemented method of claim 10 , further comprising:
receiving, by the one or more processors, an updated microvascular data object for the user; and modifying, by the one or more processors, the outcome risk score data object for the user based at least in part on the updated microvascular data object.

12 . The computer-implemented method of claim 11 , further comprising:
refining, by the one or more processors, the refined remedial model based at least in part on the updated microvascular data object for the user and the at least one tailored remedial measure for the user.

13 . The computer-implemented method of claim 1 , wherein generating, using the refined remedial model and based at least in part on the outcome risk score data object, the at least one tailored remedial measure for the user, comprises:
receiving, by the one or more processors, a user profile data object for the user that is indicative of one or more user preferences for the user; and generating, by the one or more processors, using the refined remedial model, and based at least in part on the one or more user preferences for the user, the at least one tailored remedial measure for the user.

14 . An apparatus for predicting predicted microvascular outcomes using microvascular data objects, the apparatus comprising at least one processor and at least one memory including program code, the at least one memory and the program code configured to, with the processor, cause the apparatus to at least:
receive a microvascular data object for a user, the microvascular data object indicative of a microvascular volume differential for the user; determine a plurality of predictive outcome features for a predicted microvascular outcome; determine, using a feature prediction model, one or more impact predictions for the plurality of predictive outcome features; generate, based at least in part on the microvascular data object and the one or more impact predictions, an outcome risk score data object for the user; and generate, using a refined remedial model and based at least in part on the outcome risk score data object, at least one tailored remedial measure for the user.

15 . The apparatus of claim 14 , wherein the microvascular data object comprises a parameter representative of a microvascular blood flow for the user at a point in time.

16 . The apparatus of claim 14 , further caused to at least:
provide, based at least in part on the at least one tailored remedial measure for the user, an interactive user interface for the user, wherein the interactive user interface comprise a plurality of interactive widgets indicative of the at least one tailored remedial measure for the user and one or more alternative remedial measures for the user.

17 . The apparatus of claim 16 , wherein the interactive user interface for the user comprises an indication of an expected impact to the outcome risk score data object associated with the at least one tailored remedial measure for the user and the one or more alternative remedial measures for the user.

18 . The apparatus of claim 16 , wherein the interactive user interface for the user comprises an indication of the outcome risk score data object for the user.

19 . The apparatus of claim 18 , further caused to at least:
receive data indicative of a selection of at least one of the plurality of interactive widgets; and responsive to the selection of the at least one interactive widget, automatically update, using the refined remedial model, the outcome risk score data object for the user.

20 . A computer program product for predicting predicted microvascular outcomes using microvascular data objects, the computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions configured to:
receive, by one or more processors, a microvascular data object for a user, the microvascular data object indicative of a microvascular volume differential for

Assignees

• Optum Services Ireland Ltd

Inventors

• Heath Kevin A
• O'Donoghue Kieran
• Godden Paul J
• Scherr Terry J

Classifications

• G16H50/20 Primary

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

• G16H50/30 Primary

  for calculating health indices; for individual health risk assessment · CPC title

• G16H50/50

  for simulation or modelling of medical disorders · CPC title

• Y02A90/10

  Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation · CPC title