Heart analytics: Analytical modeling of cardiovascular care

Tinglong Dai, Kelly Gleason, Chao Wei Hwang, Patricia Davidson

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)30-43
Number of pages14
JournalNaval Research Logistics
Issue number1
StatePublished - Feb 2021


  • analytical modeling
  • cardiovascular care
  • coronary artery disease
  • healthcare operations management
  • heart failure
  • stroke

ASJC Scopus subject areas

  • Modeling and Simulation
  • Ocean Engineering
  • Management Science and Operations Research


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