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Theory and practice of business intelligence in healthcare
Record Type:
Electronic resources : Monograph/item
Title/Author:
Theory and practice of business intelligence in healthcareJiban Khuntia, Xue Ning, Mohan Tanniru, editors.
other author:
Khuntia, Jiban,
Published:
Hershey, Pennsylvania :IGI Global,2020.
Description:
1 online resource (xxxiii, 322 p.)
Subject:
Medical informatics.
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2310-0
ISBN:
9781799823117$q(ebook)
Theory and practice of business intelligence in healthcare
Theory and practice of business intelligence in healthcare
[electronic resource] /Jiban Khuntia, Xue Ning, Mohan Tanniru, editors. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (xxxiii, 322 p.)
Includes bibliographical references and index.
Business intelligence and analytics (BI&A) capabilities in health care -- Chapter 2. Billing and review perspectives in health care -- Chapter 3. Leveraging intelligence in value creation across provider patient ecosystems -- Chapter 4. Operations-intelligence-strategy (OIS) process in healthcare -- Chapter 5.Generation and management of data for healthcare and health diagnostics -- Chapter 6. Data to analytics to insight: role of rtDashboard at St. Joseph Mercy Health -- Chapter 7. Deep learning of data analytics in healthcare -- Chapter 8. Integration of BI in healthcare: from data and information to decisions -- Chapter 9. A proposed architecture to sustain public-private partnership: the case of the Arizona ASHLine -- Chapter 10. Patient empowerment and analytics -- Chapter 11. Guiding assistive-technology adaptations through intelligent stream mining of patient data -- Chapter 12. Ethically building business intelligence in healthcare: a value-sensitive perspective.
"This book introduces data mining, modeling, and analytic techniques to health and healthcare data; articulates the value of big volumes of data to health and healthcare; evaluates business intelligence tools; and explores business intelligence use and applications in healthcare"--
Mode of access: World Wide Web.
ISBN: 9781799823117$q(ebook)Subjects--Topical Terms:
196487
Medical informatics.
Subjects--Index Terms:
Artificial Intelligence.Index Terms--Genre/Form:
214472
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
Theory and practice of business intelligence in healthcare
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Theory and practice of business intelligence in healthcare
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Jiban Khuntia, Xue Ning, Mohan Tanniru, editors.
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IGI Global,
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2020.
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Includes bibliographical references and index.
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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.
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Decision Support Systems.
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Digital Health.
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Patient Empowerment.
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Khuntia, Jiban,
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Ning, Xue,
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Tanniru, Mohan R.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2310-0
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電子館藏
1圖書
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EB R859.7.D35 T44 2020eb 2020
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1 records • Pages 1 •
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Multimedia
Multimedia file
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2310-0
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