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Analytics and Decision Support in Health Care Operations Management: History, Diagnosis, and Empirical Foundations
Ozcan, Y
Pricing & Availability
Available: Yes*
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Other formats:
Softcover
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Book Information
Edition:
3rd
Publisher:
Jossey-Bass Incorporated, Publishers
ISBN:
1-119-21983-3 (1119219833)
ISBN-13:
978-1-119-21983-5 (9781119219835)
Binding:
E E Book + ProQuest Ebook Central
Copyright:
2017
Publish Date:
04/17
Weight:
0.00 Lbs.
Subject Class:
M-A (Medical Administration and Health Policy)
Remarks:
A New Edition of this title is due 02/26
Return Policy:
Non-Returnable.
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Class Specifications
Discipline:
Public Health
Subject Definition:
Health Services Administration; Statistics as Topic
NLM Class:
WA 950
LC Class:
RA394
Abstract:
Analytics and Decision Support in Health Care Operations is a comprehensive introductory guide to quantitative techniques, with practical Excel-based solutions for strategic health care management. This new third edition has been extensively updated to reflect the continuously evolving field, with new coverage of predictive analytics, geographical information systems, flow process improvement, lean management, six sigma, health provider productivity and benchmarking, project management, simulation, and more. Each chapter includes additional new exercises to illustrate everyday applications, and provides clear direction on data acquisition under a variety of hospital information systems. Instructor support includes updated Excel templates, PowerPoint slides, web based chapter end supplements, and data banks to facilitate classroom instruction, and working administrators will appreciate the depth and breadth of information with clear applicability to everyday situations. The ability to use analytics effectively is a critical skill for anyone involved in the study or practice of health services administration. This book provides a comprehensive set of methods spanning tactical, operational, and strategic decision making and analysis for both current and future health care administrators. ... From statistical techniques like multiple regression, decision-tree analysis, queuing and simulation, to field-specific applications including surgical suite scheduling, roster management, quality monitoring, and more, analytics play a central role in health care administration. Analytics and Decision Support in Health Care Operations provides essential guidance on these critical skills that every professional needs.
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