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Heart analytics: Analytical modeling of cardiovascular care

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  • Tinglong Dai
  • Kelly Gleason
  • Chao‐Wei Hwang
  • Patricia Davidson

Abstract

Cardiovascular diseases (CVDs) are the leading cause of death and disability both in the United States and worldwide. Despite high morbidity, mortality, and cost in the United States and global healthcare systems, cardiovascular care has been understudied in the healthcare operations management literature. In this paper, we identify research opportunities for healthcare operations management scholars to aid in improving cardiovascular care. We focus on three burdensome conditions, including (1) coronary artery disease, (2) stroke, and (3) heart failure, which, collectively, lead to the vast majority of CVD‐caused mortality and disability. For each condition, we characterize a typical patient's journey in receiving cardiovascular care, elucidating key challenges in improving care and outlining research questions for healthcare operations management scholars. We close with a reference to new research opportunities that emerge as artificial intelligence is likely to transform much of cardiovascular care.

Suggested Citation

  • Tinglong Dai & Kelly Gleason & Chao‐Wei Hwang & Patricia Davidson, 2021. "Heart analytics: Analytical modeling of cardiovascular care," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(1), pages 30-43, February.
    • Handle: RePEc:wly:navres:v:68:y:2021:i:1:p:30-43
    DOI: 10.1002/nav.21880
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    1. Tinglong Dai & Sridhar Tayur, 2022. "Designing AI‐augmented healthcare delivery systems for physician buy‐in and patient acceptance," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4443-4451, December.

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