國立高雄大學圖資館 |

Language: English

Back

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
LDR:02810nmm a2200433 a 4500 001 681458
006 m o d
007 cr nn |||muauu
008 251124s2020 pau ob 001 0 eng d
020 $a 9781799823117$q(ebook)
020 $a 1799823113$q(ebook)
020 $z 9781799823100$q(hardback)
035 $a (CaBNVSL)slc00000142
035 $a (OCoLC)1129562651
035 $a 00236140
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
041 0 $a eng
050 4 $a R859.7.D35 $b T44 2020eb
060 1 0 $a W 26.55.I4 $b T44 2020eb
082 0 4 $a 610.285 $2 23
245 0 0 $a Theory and practice of business intelligence in healthcare $h [electronic resource] / $c Jiban Khuntia, Xue Ning, Mohan Tanniru, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2020.
300 $a 1 online resource (xxxiii, 322 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 3 $a "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"-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
650 0 $a Medical informatics. $3 196487
650 0 $a Business intelligence. $3 202057
650 0 $a Strategic planning. $3 191522
650 1 2 $a Data Mining. $3 304461
650 2 2 $a Health Care Sector. $3 648852
650 2 2 $a Data Analysis. $3 843864
650 2 2 $a Big Data. $3 760530
653 $a Artificial Intelligence.
653 $a Assistive Technologies.
653 $a Clinical Analytics.
653 $a Data Analytics.
653 $a Decision Support Systems.
653 $a Digital Health.
653 $a Machine Learning.
653 $a Operations Intelligence.
653 $a Patient Empowerment.
653 $a Public-Private Partnerships.
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Khuntia, Jiban, $d 1974- $3 994819
700 1 $a Ning, Xue, $d 1986- $3 994820
700 1 $a Tanniru, Mohan R. $3 964054
710 2 $a IGI Global. $3 529832
776 0 $c (Original) $w (DLC)2019039515
776 0 8 $i Print version: $z 1799823105 $z 9781799823100 $w (DLC) 2019039515
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2310-0