國立高雄大學圖資館 |

Language: English

Back

Using predictive analytics to improve healthcare outcomes

Record Type:	Electronic resources : Monograph/item
Title/Author:	Using predictive analytics to improve healthcare outcomesedited by John W. Nelson, Jayne Felgen, Mary Ann Hozak.
other author:	Nelson, John W.
Published:	Hoboken, NJ :Wiley,2021.
Description:	1 online resource (xxv, 438 p.) :ill.
Subject:	Medical statistics.
Online resource:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119747826
ISBN:	9781119747826$q(electronic bk. ;$qoBook)

Using predictive analytics to improve healthcare outcomes
Using predictive analytics to improve healthcare outcomes[electronic resource] /edited by John W. Nelson, Jayne Felgen, Mary Ann Hozak. - Hoboken, NJ :Wiley,2021. - 1 online resource (xxv, 438 p.) :ill.

Includes bibliographical references and index.

Using Predictive Analytics to Improve Healthcare Outcomes delivers a 16-step process to use predictive analytics to improve operations in the complex industry of healthcare. The book includes numerous case studies that make use of predictive analytics and other mathematical methodologies to save money and improve patient outcomes. The book is organized as a "how-to" manual, showing how to use existing theory and tools to achieve desired positive outcomes. You will learn how your organization can use predictive analytics to identify the most impactful operational interventions before changing operations. This includes: A thorough introduction to data, caring theory, Relationship-Based Care, the Caring Behaviors Assurance System, and healthcare operations, including how to build a measurement model and improve organizational outcomes; An exploration of analytics in action, including comprehensive case studies on patient falls, palliative care, infection reduction, reducing rates of readmission for heart failure, and more - all resulting in action plans allowing clinicians to make changes that have been proven in advance to result in positive outcomes; Discussions of how to refine quality improvement initiatives, including the use of "comfort" as a construct to illustrate the importance of solid theory and good measurement in adequate pain management; and an examination of international organizations using analytics to improve operations within cultural context.

ISBN: 9781119747826$q(electronic bk. ;$qoBook)

Standard No.: 10.1002/9781119747826doiSubjects--Topical Terms:

182007
Medical statistics.

LC Class. No.: R850 / .U85 2021eb

Dewey Class. No.: 610.72

Using predictive analytics to improve healthcare outcomes
LDR:02616cmm a2200313 a 4500 001 627343
003 OCoLC
005 20220225105945.0
006 m o d
007 cr cnu---unuuu
008 230118s2021 njua ob 001 0 eng d
020 $a 9781119747826$q(electronic bk. ;$qoBook)
020 $a 1119747821$q(electronic bk. ;$qoBook)
020 $a 9781119747772$q(electronic bk.)
020 $a 1119747775$q(electronic bk.)
020 $z 9781119747758
020 $z 1119747759
024 7 $a 10.1002/9781119747826 $2 doi
035 $a 1260344698
040 $a EBLCP $b eng $c EBLCP $d YDX $d DG1 $d OCLCO $d OCLCF $d CNO $d OCLCO
041 0 $a eng
050 4 $a R850 $b .U85 2021eb
082 0 4 $a 610.72 $2 23
245 0 0 $a Using predictive analytics to improve healthcare outcomes $h [electronic resource] / $c edited by John W. Nelson, Jayne Felgen, Mary Ann Hozak.
260 $a Hoboken, NJ : $b Wiley, $c 2021.
300 $a 1 online resource (xxv, 438 p.) : $b ill.
504 $a Includes bibliographical references and index.
520 $a Using Predictive Analytics to Improve Healthcare Outcomes delivers a 16-step process to use predictive analytics to improve operations in the complex industry of healthcare. The book includes numerous case studies that make use of predictive analytics and other mathematical methodologies to save money and improve patient outcomes. The book is organized as a "how-to" manual, showing how to use existing theory and tools to achieve desired positive outcomes. You will learn how your organization can use predictive analytics to identify the most impactful operational interventions before changing operations. This includes: A thorough introduction to data, caring theory, Relationship-Based Care, the Caring Behaviors Assurance System, and healthcare operations, including how to build a measurement model and improve organizational outcomes; An exploration of analytics in action, including comprehensive case studies on patient falls, palliative care, infection reduction, reducing rates of readmission for heart failure, and more - all resulting in action plans allowing clinicians to make changes that have been proven in advance to result in positive outcomes; Discussions of how to refine quality improvement initiatives, including the use of "comfort" as a construct to illustrate the importance of solid theory and good measurement in adequate pain management; and an examination of international organizations using analytics to improve operations within cultural context.
588 $a Description based on print version record.
650 0 $a Medical statistics. $3 182007
650 0 $a Medicine $x Data processing. $3 199437
650 0 $a Medicine, Preventive. $3 232231
700 1 $a Nelson, John W. $3 931400
700 1 $a Felgen, Jayne. $3 931401
700 1 $a Hozak, Mary Ann. $3 931402
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119747826