Handbook of healthcare analytics: theoretical minimum for conducting 21st century research on healthcare operations
"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 m...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2018
|
| Schriftenreihe: | Wiley series in operations research and management science
|
| Schlagworte: | |
| Online-Zugang: | FHD01 FRO01 UBG01 UER01 URL des Erstveröffentlichers |
| Zusammenfassung: | "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"... |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781119300960 9781119300977 9781119300953 |
Internformat
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| 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. | ||
| 520 | |a 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. | ||
| 520 | |a 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"... | ||
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| 700 | 1 | |a Tayur, Sridhar |0 (DE-588)1055085130 |4 edt | |
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Datensatz im Suchindex
| _version_ | 1804178987195301888 |
|---|---|
| any_adam_object | |
| author2 | Dai, Tinglong Tayur, Sridhar |
| author2_role | edt edt |
| author2_variant | t d td s t st |
| author_GND | (DE-588)1025091507 (DE-588)1055085130 |
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| building | Verbundindex |
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| callnumber-first | R - Medicine |
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| dewey-full | 610.285 |
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| discipline | Medizin |
| format | Electronic eBook |
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| id | DE-604.BV045246757 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:12:42Z |
| institution | BVB |
| isbn | 9781119300960 9781119300977 9781119300953 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030634849 |
| oclc_num | 1057790249 |
| open_access_boolean | |
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| owner_facet | DE-1050 DE-861 DE-29 |
| physical | 1 Online-Ressource |
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| publishDate | 2018 |
| publishDateSearch | 2018 |
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| publisher | Wiley |
| record_format | marc |
| series2 | Wiley series in operations research and management science |
| spelling | Handbook of healthcare analytics theoretical minimum for conducting 21st century research on healthcare operations edited by Tinglong Dai and Sridhar Tayur Hoboken, NJ Wiley 2018 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Wiley series in operations research and management science Includes bibliographical references and index "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"... BUSINESS & ECONOMICS / Management Science / bisacsh Medical care Data processing Medical care Information services BUSINESS & ECONOMICS / Management Science Dai, Tinglong (DE-588)1025091507 edt Tayur, Sridhar (DE-588)1055085130 edt Erscheint auch als Druck-Ausgabe 978-1-119-30094-6 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119300977 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Handbook of healthcare analytics theoretical minimum for conducting 21st century research on healthcare operations BUSINESS & ECONOMICS / Management Science / bisacsh Medical care Data processing Medical care Information services BUSINESS & ECONOMICS / Management Science |
| title | Handbook of healthcare analytics theoretical minimum for conducting 21st century research on healthcare operations |
| title_auth | Handbook of healthcare analytics theoretical minimum for conducting 21st century research on healthcare operations |
| title_exact_search | Handbook of healthcare analytics theoretical minimum for conducting 21st century research on healthcare operations |
| title_full | Handbook of healthcare analytics theoretical minimum for conducting 21st century research on healthcare operations edited by Tinglong Dai and Sridhar Tayur |
| title_fullStr | Handbook of healthcare analytics theoretical minimum for conducting 21st century research on healthcare operations edited by Tinglong Dai and Sridhar Tayur |
| title_full_unstemmed | Handbook of healthcare analytics theoretical minimum for conducting 21st century research on healthcare operations edited by Tinglong Dai and Sridhar Tayur |
| title_short | Handbook of healthcare analytics |
| title_sort | handbook of healthcare analytics theoretical minimum for conducting 21st century research on healthcare operations |
| title_sub | theoretical minimum for conducting 21st century research on healthcare operations |
| topic | BUSINESS & ECONOMICS / Management Science / bisacsh Medical care Data processing Medical care Information services BUSINESS & ECONOMICS / Management Science |
| topic_facet | BUSINESS & ECONOMICS / Management Science / bisacsh Medical care Data processing Medical care Information services BUSINESS & ECONOMICS / Management Science |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781119300977 |
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