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Theory and practice of business inte...

Khuntia, Jiban, (1974-)

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Theory and practice of business intelligence in healthcare

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Theory and practice of business intelligence in healthcare/ Jiban Khuntia, Xue Ning, Mohan Tanniru, editors.
其他作者:	Khuntia, Jiban,
出版者:	Hershey, Pennsylvania :IGI Global, : 2020.,
面頁冊數:	1 online resource (xxxiii, 322 p.)
內容註:	Business intelligence and analytics (BI&A) capabilities in health care -- Chapter 2. Billing and review perspectives in health care -- Chapter 3. Leveraging intelligence in value creation across provider patient ecosystems -- Chapter 4. Operations-intelligence-strategy (OIS) process in healthcare -- Chapter 5.Generation and management of data for healthcare and health diagnostics -- Chapter 6. Data to analytics to insight: role of rtDashboard at St. Joseph Mercy Health -- Chapter 7. Deep learning of data analytics in healthcare -- Chapter 8. Integration of BI in healthcare: from data and information to decisions -- Chapter 9. A proposed architecture to sustain public-private partnership: the case of the Arizona ASHLine -- Chapter 10. Patient empowerment and analytics -- Chapter 11. Guiding assistive-technology adaptations through intelligent stream mining of patient data -- Chapter 12. Ethically building business intelligence in healthcare: a value-sensitive perspective.
標題:	Medical informatics. -
電子資源:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2310-0
ISBN:	9781799823117

Theory and practice of business intelligence in healthcare
Theory and practice of business intelligence in healthcare[electronic resource] /Jiban Khuntia, Xue Ning, Mohan Tanniru, editors. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (xxxiii, 322 p.)

Includes bibliographical references and index.

Business intelligence and analytics (BI&A) capabilities in health care -- Chapter 2. Billing and review perspectives in health care -- Chapter 3. Leveraging intelligence in value creation across provider patient ecosystems -- Chapter 4. Operations-intelligence-strategy (OIS) process in healthcare -- Chapter 5.Generation and management of data for healthcare and health diagnostics -- Chapter 6. Data to analytics to insight: role of rtDashboard at St. Joseph Mercy Health -- Chapter 7. Deep learning of data analytics in healthcare -- Chapter 8. Integration of BI in healthcare: from data and information to decisions -- Chapter 9. A proposed architecture to sustain public-private partnership: the case of the Arizona ASHLine -- Chapter 10. Patient empowerment and analytics -- Chapter 11. Guiding assistive-technology adaptations through intelligent stream mining of patient data -- Chapter 12. Ethically building business intelligence in healthcare: a value-sensitive perspective.

"This book introduces data mining, modeling, and analytic techniques to health and healthcare data; articulates the value of big volumes of data to health and healthcare; evaluates business intelligence tools; and explores business intelligence use and applications in healthcare"--

Mode of access: World Wide Web.

ISBN: 9781799823117Subjects--Topical Terms:

661258
Medical informatics.
Subjects--Index Terms:

Artificial Intelligence.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: R859.7.D35 / T44 2020eb

Dewey Class. No.: 610.285

National Library of Medicine Call No.: W 26.55.I4 / T44 2020eb

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