Handbook of healthcare analytics : theoretical minimum for conducting 21st century research on healthcare operations
Published
Hoboken, NJ : John Wiley & Sons, 2018.
Status
Available Online
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Format
Language
English
ISBN
9781119300960, 1119300967, 1119300940, 9781119300946
Notes
Bibliography
Includes bibliographical references and index.
Description
"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
Description
"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
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O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Dai, T., & Tayur, S. (2018). Handbook of healthcare analytics: theoretical minimum for conducting 21st century research on healthcare operations . John Wiley & Sons.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Dai, Tinglong and Sridhar, Tayur. 2018. Handbook of Healthcare Analytics: Theoretical Minimum for Conducting 21st Century Research On Healthcare Operations. Hoboken, NJ: John Wiley & Sons.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Dai, Tinglong and Sridhar, Tayur. Handbook of Healthcare Analytics: Theoretical Minimum for Conducting 21st Century Research On Healthcare Operations Hoboken, NJ: John Wiley & Sons, 2018.
Harvard Citation (style guide)Dai, T. and Tayur, S. (2018). Handbook of healthcare analytics: theoretical minimum for conducting 21st century research on healthcare operations. Hoboken, NJ: John Wiley & Sons.
MLA Citation, 9th Edition (style guide)Dai, Tinglong,, and Sridhar Tayur. Handbook of Healthcare Analytics: Theoretical Minimum for Conducting 21st Century Research On Healthcare Operations John Wiley & Sons, 2018.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
0600299c-91a6-1bfb-99a5-861c3f0a2231-eng
Grouping Information
| Grouped Work ID | 0600299c-91a6-1bfb-99a5-861c3f0a2231-eng |
|---|---|
| Full title | handbook of healthcare analytics theoretical minimum for conducting 2first century research on healthcare operations |
| Author | tinglong dai and sridhar tayur |
| Grouping Category | book |
| Last Update | 2024-10-08 10:55:34AM |
| Last Indexed | 2024-12-03 03:01:13AM |
Book Cover Information
| Image Source | contentCafe |
|---|---|
| First Loaded | Jul 3, 2023 |
| Last Used | Nov 23, 2024 |
Marc Record
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| Last File Modification Time | Mar 22, 2023 08:26:18 AM |
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| 245 | 0 | 0 | |a Handbook of healthcare analytics :|b theoretical minimum for conducting 21st century research on healthcare operations /|c edited by Tinglong Dai and Sridhar Tayur. |
| 264 | 1 | |a Hoboken, NJ :|b John Wiley & Sons,|c 2018. | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 1 online resource (1 volume) :|b illustrations | ||
| 336 | |a text|b txt|2 rdacontent | ||
| 337 | |a computer|b c|2 rdamedia | ||
| 338 | |a online resource|b cr|2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |t Organizational structure /|r Jay Levine --|t Access to healthcare /|r Donald R. Fischer --|t Market design /|r Itai Ashlagi --|t Competing interests /|r Joel Goh --|t Quality of care /|r Hummy Song and Senthil Veeraraghavan --|t Personalized medicine /|r Turgay Ayer and Qiushi Chen --|t Global health /|r Karthik V. Natarajan and Jayashankar M. Swaminathan --|t Healthcare supply chain /|r Soo-Haeng Cho and Hui Zhao --|t Organ transplantation /|r Baris Ata, John J. Friedewald and A. Cem Randa --|t Ambulatory care /|r Nan Liu --|t Impatient care /|r Van-Anh Truong --|t Residential care /|r Nadia Lahrichi, Louis-Martin Rousseau and Willem-Jan van Hoeve --|t Concierge medicine /|r Srinagesh Gavirneni and Vidyadhar G. Kulkarni --|t Markov decision processes /|r Alan Scheller-Wolf --|t Game theory and information economics /|r Tinglong Dai --|t Queueing games /|r Mustafa Akan --|t Econometric methods /|r Diwas KC --|t Data science /|r Rema Padman. |
| 520 | |a "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"--|c Provided by publisher | ||
| 520 | |a "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)"--|c Provided by publisher | ||
| 588 | 0 | |a Print version record. | |
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| 650 | 0 | |a Medical care|x Data processing.|9 96780 | |
| 650 | 0 | |a Medical care|x Information services. | |
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| 700 | 1 | |a Dai, Tinglong,|e editor. | |
| 700 | 1 | |a Tayur, Sridhar,|e editor. | |
| 776 | 0 | 8 | |i Print version:|t Handbook of healthcare analytics.|d Hoboken, NJ, USA : Wiley, 2018|z 9781119300946|w (DLC) 2018007641|w (OCoLC)1023819244 |
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