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Learning Interpretable Behavioral Engagement for Care Management.

Subhro Das1, Chandramouli Maduri2, Ching-Hua Chen2

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Studies in Health Technology and Informatics
|June 24, 2020
PubMed
Summary
This summary is machine-generated.

A new behavioral engagement scoring (BES) pipeline accurately predicts high-need patient engagement in care programs. This data-driven approach helps care managers (CMs) improve patient outcomes by understanding their interest in enrollment and goal completion.

Keywords:
Care managementinterpretabilitymetric learningpersonalization

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Area of Science:

  • Healthcare Management
  • Patient Engagement Strategies
  • Behavioral Data Analytics

Background:

  • Patient engagement significantly impacts health outcomes for high-need individuals.
  • Care managers (CMs) play a crucial role in patient enrollment and sustained engagement in care programs.
  • Effective engagement strategies are essential for patients to achieve health goals.

Purpose of the Study:

  • To develop and validate a data-driven behavioral engagement scoring (BES) pipeline.
  • To compute patient engagement levels concerning program enrollment and goal completion.
  • To predict patient responsiveness to care manager interventions.

Main Methods:

  • Implementation of a behavioral engagement scoring (BES) pipeline using real-world care management data.
  • Computation of patient engagement scores based on enrollment interest and goal completion.
  • Leveraging the BES score to predict patient response to care manager actions.

Main Results:

  • The BES pipeline accurately predicts patient engagement levels.
  • The system provides interpretable insights for care managers.
  • The model demonstrates predictive performance without sacrificing interpretability.

Conclusions:

  • The BES pipeline offers a valuable tool for enhancing patient engagement in care management.
  • Data-driven scoring can optimize care manager interventions for high-need patients.
  • Improved patient engagement through BES is linked to better health outcomes.