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- W2969795087 endingPage "43" @default.
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- W2969795087 abstract "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." @default.
- W2969795087 created "2019-08-29" @default.
- W2969795087 creator A5023975576 @default.
- W2969795087 creator A5042638380 @default.
- W2969795087 creator A5062057702 @default.
- W2969795087 creator A5084745426 @default.
- W2969795087 date "2019-11-27" @default.
- W2969795087 modified "2023-10-10" @default.
- W2969795087 title "Heart analytics: Analytical modeling of cardiovascular care" @default.
- W2969795087 cites W1526266515 @default.
- W2969795087 cites W1567796028 @default.
- W2969795087 cites W16083219 @default.
- W2969795087 cites W1658155941 @default.
- W2969795087 cites W1909247968 @default.
- W2969795087 cites W1940810265 @default.
- W2969795087 cites W1965427364 @default.
- W2969795087 cites W1977028599 @default.
- W2969795087 cites W1978616702 @default.
- W2969795087 cites W1984845078 @default.
- W2969795087 cites W1998842548 @default.
- W2969795087 cites W2011208603 @default.
- W2969795087 cites W2027529661 @default.
- W2969795087 cites W2040236338 @default.
- W2969795087 cites W2048267123 @default.
- W2969795087 cites W2051388019 @default.
- W2969795087 cites W2052877344 @default.
- W2969795087 cites W2063772455 @default.
- W2969795087 cites W2065841554 @default.
- W2969795087 cites W2069471282 @default.
- W2969795087 cites W2069822337 @default.
- W2969795087 cites W2083865703 @default.
- W2969795087 cites W2086923543 @default.
- W2969795087 cites W2097027743 @default.
- W2969795087 cites W2106742300 @default.
- W2969795087 cites W2108252519 @default.
- W2969795087 cites W2117917773 @default.
- W2969795087 cites W2128251743 @default.
- W2969795087 cites W2130483595 @default.
- W2969795087 cites W2135171604 @default.
- W2969795087 cites W2139643735 @default.
- W2969795087 cites W2141808100 @default.
- W2969795087 cites W2142099443 @default.
- W2969795087 cites W2155477484 @default.
- W2969795087 cites W2161684748 @default.
- W2969795087 cites W2162076893 @default.
- W2969795087 cites W2165568749 @default.
- W2969795087 cites W2256784600 @default.
- W2969795087 cites W2294927445 @default.
- W2969795087 cites W2324532436 @default.
- W2969795087 cites W2412608948 @default.
- W2969795087 cites W2539691050 @default.
- W2969795087 cites W2555375202 @default.
- W2969795087 cites W2589342340 @default.
- W2969795087 cites W2597539190 @default.
- W2969795087 cites W2609047249 @default.
- W2969795087 cites W2612176626 @default.
- W2969795087 cites W2625790423 @default.
- W2969795087 cites W2743404144 @default.
- W2969795087 cites W2754909382 @default.
- W2969795087 cites W2770958024 @default.
- W2969795087 cites W2772356304 @default.
- W2969795087 cites W2779882737 @default.
- W2969795087 cites W2784041933 @default.
- W2969795087 cites W2788514901 @default.
- W2969795087 cites W2792904304 @default.
- W2969795087 cites W2793478514 @default.
- W2969795087 cites W2803840537 @default.
- W2969795087 cites W2803910171 @default.
- W2969795087 cites W2806090213 @default.
- W2969795087 cites W2807488310 @default.
- W2969795087 cites W2809765044 @default.
- W2969795087 cites W2886688766 @default.
- W2969795087 cites W2886890062 @default.
- W2969795087 cites W2900214519 @default.
- W2969795087 cites W2904476163 @default.
- W2969795087 cites W2905951279 @default.
- W2969795087 cites W2907594198 @default.
- W2969795087 cites W2909721788 @default.
- W2969795087 cites W2911100449 @default.
- W2969795087 cites W2911673891 @default.
- W2969795087 cites W2911749517 @default.
- W2969795087 cites W2911907535 @default.
- W2969795087 cites W2915142973 @default.
- W2969795087 cites W2916528750 @default.
- W2969795087 cites W2921072211 @default.
- W2969795087 cites W3021070836 @default.
- W2969795087 cites W3086553323 @default.
- W2969795087 cites W3122726473 @default.
- W2969795087 cites W3124029319 @default.
- W2969795087 cites W4239096779 @default.
- W2969795087 cites W4242300584 @default.
- W2969795087 cites W4244314529 @default.
- W2969795087 cites W4256206224 @default.
- W2969795087 cites W4292764096 @default.
- W2969795087 doi "https://doi.org/10.1002/nav.21880" @default.
- W2969795087 hasPublicationYear "2019" @default.
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