@article{5eba3b39960b41349852736c8fa11e6b,
title = "Heart analytics: Analytical modeling of cardiovascular care",
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.",
keywords = "analytical modeling, cardiovascular care, coronary artery disease, healthcare operations management, heart failure, stroke",
author = "Tinglong Dai and Kelly Gleason and Hwang, {Chao Wei} and Patricia Davidson",
note = "Funding Information: We are thankful to Professor Diwakar Gupta for this opportunity to write this thought piece. We also thank Professor Gupta and the Associate Editor for the constructive review process. This paper builds on several of our prior and ongoing projects (esp. T. Dai & Singh, 2019; T. Dai et al., 2019), for which we benefited from discussions with and/or feedback from Elodie Adida, Robert Batt, Maqbool Dada, Francis de V{\'e}ricourt, Feryal Erhun, Eileen Fleck, Joel Goh, Lauren Lu, Susan Lu, Serguei Netessine, David Newman-Toker, Larry Samuelson, Robert Shumsky, Stefan Scholtes, Shubhranshu Singh, K. Sudhir, Kathleen Sutcliffe, Sridhar Tayur, Senthil Veeraraghavan, Ruizhi Wang, and Xiaofang Wang. In addition, we appreciate the comments and suggestions from seminar participants at Johns Hopkins Medicine JHI Partners Forum, London Business School, Sapienza University of Rome, University College London, University of Cambridge, University of North Carolina at Chapel Hill, University of Oxford, and University of Wisconsin-Madison; and session participants at INFORMS 2019 Annual Meeting, 2019 INFORMS Healthcare Conference, and 2019 POMS Annual Meeting. Publisher Copyright: {\textcopyright} 2019 Wiley Periodicals, Inc.",
year = "2021",
month = feb,
doi = "10.1002/nav.21880",
language = "English (US)",
volume = "68",
pages = "30--43",
journal = "Naval Research Logistics",
issn = "0894-069X",
publisher = "John Wiley and Sons Inc.",
number = "1",
}