Heart analytics: Analytical modeling of cardiovascular care

Dai, T; Gleason, K; Hwang, CW; Davidson, P

Heart analytics: Analytical modeling of cardiovascular care

Dai, T Gleason, K Hwang, CW Davidson, P

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Publisher:: WILEY
Publication Type:: Journal Article
Citation:: Naval Research Logistics, 2021, 68, (1), pp. 30-43
Issue Date:: 2021-02-01

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Field	Value	Language
dc.contributor.author	Dai, T
dc.contributor.author	Gleason, K
dc.contributor.author	Hwang, CW
dc.contributor.author	Davidson, P https://orcid.org/0000-0003-2050-1534
dc.date.accessioned	2022-09-19T05:28:28Z
dc.date.available	2022-09-19T05:28:28Z
dc.date.issued	2021-02-01
dc.identifier.citation	Naval Research Logistics, 2021, 68, (1), pp. 30-43
dc.identifier.issn	0894-069X
dc.identifier.issn	1520-6750
dc.identifier.uri	http://hdl.handle.net/10453/161895
dc.description.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.
dc.language	English
dc.publisher	WILEY
dc.relation.ispartof	Naval Research Logistics
dc.relation.isbasedon	10.1002/nav.21880
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0103 Numerical and Computational Mathematics, 1503 Business and Management
dc.subject.classification	Logistics & Transportation
dc.title	Heart analytics: Analytical modeling of cardiovascular care
dc.type	Journal Article
utslib.citation.volume	68
utslib.for	0102 Applied Mathematics
utslib.for	0103 Numerical and Computational Mathematics
utslib.for	1503 Business and Management
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
utslib.copyright.status	closed_access	*
dc.date.updated	2022-09-19T05:28:27Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	68
utslib.citation.issue	1

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/161895