Invention Grant
- Patent Title: Personalized patient engagement in care management using explainable behavioral phenotypes
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Application No.: US16593178Application Date: 2019-10-04
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Publication No.: US11521724B2Publication Date: 2022-12-06
- Inventor: Subhro Das , Gema Almoguera , Kenneth J. Barker , Ching-Hua Chen , Adam R. Faulkner , Pei-Yun Hsueh , Chandramouli Maduri , Sara Rosenthal
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Stephen J. Walder, Jr.; Kristofer Haggerty
- Main IPC: G16H20/00
- IPC: G16H20/00 ; G16H50/20 ; G16H50/50 ; G06N5/04 ; G16H10/60 ; G06K9/00 ; G16H80/00

Abstract:
A mechanism is provided in a data processing system to implement a personalized patient engagement engine. The personalized patient engagement engine develops a set of models for a plurality of behavioral phenotypes based on anonymized unstructured and structured patient-care management records for a plurality of patients over a period of time; matches a given patient to a behavioral phenotype; estimates a propensity of positive and/or negative behavioral responses of each of a plurality of targeted behaviors; dynamically updates personalized intervention effectiveness rankings in context for care manager and patient decision-making based on what has been shown to lead to positive responses for individuals with a similar behavioral profile; generates an intervention recommendation for the given patient based on the personalized intervention effectiveness rankings relative to the patient given an assigned goal and an individual intervention effect estimation; and provides the intervention recommendation to the care manager.
Public/Granted literature
- US20210104307A1 Personalized Patient Engagement in Care Management Using Explainable Behavioral Phenotypes Public/Granted day:2021-04-08
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