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Title Handbook of healthcare analytics : theoretical minimum for conducting 21st century research on healthcare operations / edited by Tinglong Dai and Sridhar Tayur.
Imprint Hoboken, NJ : John Wiley & Sons, 2018.
2018

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LOCATION CALL # STATUS MESSAGE
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Series Wiley series in operations research and management science
Wiley series in operations research and management science.
Subject Medical care -- Data processing.
Medical care -- Information services.
Alt Name Dai, Tinglong,
Tayur, Sridhar,
Description 1 online resource (1 volume) : illustrations.
Note Description based on print version record.
Bibliography Note Includes bibliographical references and index.
Contents Organizational structure / Jay Levine -- Access to healthcare / Donald R. Fischer -- Market design / Itai Ashlagi -- Competing interests / Joel Goh -- Quality of care / Hummy Song and Senthil Veeraraghavan -- Personalized medicine / Turgay Ayer and Qiushi Chen -- Global health / Karthik V. Natarajan and Jayashankar M. Swaminathan -- Healthcare supply chain / Soo-Haeng Cho and Hui Zhao -- Organ transplantation / Baris Ata, John J. Friedewald and A. Cem Randa -- Ambulatory care / Nan Liu -- Impatient care / Van-Anh Truong -- Residential care / Nadia Lahrichi, Louis-Martin Rousseau and Willem-Jan van Hoeve -- Concierge medicine / Srinagesh Gavirneni and Vidyadhar G. Kulkarni -- Markov decision processes / Alan Scheller-Wolf -- Game theory and information economics / Tinglong Dai -- Queueing games / Mustafa Akan -- Econometric methods / Diwas KC -- Data science / Rema Padman.
Summary "This handbook provides a broad healthcare context for operational research/management science (OR/MS) researchers with an encyclopedic account of the most vexing international healthcare issues. In addition, the handbook features a practical guide for OR/MS researchers to learn the most important quantitative research tools in conducting healthcare research, including classical OR techniques enhanced with game theory (such as queuing games); classical economics methods enhanced by operational considerations (like matching markets); econometrics; and data-science methods (from statistics and machine learning). Over the past decade, a lively discussion on healthcare has touched virtually every stakeholder with the system, and three key issues have emerged from this discussion: cost, quality, and access, which are jointly referred to as the "iron triangle" of healthcare. There is an urgent need to study these three "big issues", and OR/MS researchers can contribute to this need given that so much has been done in analyzing and solving supply-demand mismatch problems of virtually any scale. This book fills a current gap in the healthcare operations management literature by focusing on the incentives issues in healthcare operations from an operations management. This focus on operations-level modeling is unique and needed since the current focus has been on applications of operations research techniques to specific healthcare scenarios, such as nurse scheduling, appointment scheduling, facility design, and patient flow management. Topical coverage includes: operations research tools with healthcare applications; economics tools with healthcare applications; econometrics tools with heathcare applications; data science tools with healthcare applications; healthcare analytics for patients; healthcare analytics for policy-makers; healthcare analytics for hospitals; healthcare analytics for clinicians; healthcare analytics for global health; healthcare operations for patient outcomes; changing faces of healthcare systems; data science opportunities and emerging techniques; and quantitative teaching cases"-- Provided by publisher.
"This handbook provides a broad healthcare context for operational research/management science (OR/MS) researchers with an encyclopedic account of the most vexing international healthcare issues. In addition, the handbook features a practical guide for OR/MS researchers to learn the most important quantitative research tools in conducting healthcare research, including classical OR techniques enhanced with game theory (such as queuing games); classical economics methods enhanced by operational considerations (like matching markets); econometrics; and data-science methods (from statistics and machine learning)"-- Provided by publisher.
ISBN 9781119300946
9781119300960
1119300967
1119300940
9781119300946
OCLC # 1117308129
Additional Format Print version: Handbook of healthcare analytics. Hoboken, NJ, USA : Wiley, 2018 9781119300946 (DLC) 2018007641 (OCoLC)1023819244


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