Fr. 146.00

Analytics and Decision Support in Health Care Operations Management

English · Paperback / Softback

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Description

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Informationen zum Autor The Author YASAR A. OZCAN, PhD, is Charles P. Cardwell, Jr. Professor and vice chair and director of the Master of Science in Health Administration program at Virginia Commonwealth University. Extensively published in health care performance assessment, he is the founding Editor-in-Chief of Health Care Management Science . Dr. Ozcan's massive work has applied data envelopment analysis to health care facilities including hospitals, nursing homes, mental health care organizations, and more. He has taught health analytics and decision support in VCU's MHA and Executive MSHA graduate programs for more than 30 years. Klappentext A compendium of health care quantitative techniques based in ExcelAnalytics 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.* Learn critical analytics and decision support techniques specific to health care administration* Increase efficiency and effectiveness in problem-solving and decision support* Locate appropriate data in different commonly-used hospital information systems* Conduct analyses, simulations, productivity measurements, scheduling, and moreFrom 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. Zusammenfassung A compendium of health care quantitative techniques based in Excel 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. Inhaltsverzeichnis Tables and Figures xi Acknowledgments xxi The Author xxiii Introduction xxv Chapter-by-Chapter Revisions for the Third Edition xxvii Chapter 1: Introduction to Analytics and Decision Support in Health Care Operations Management 1 Learning Objectives 1 Historical Background and the Development of Decision Techniques 2 The Health Care Manager and Decision Making 3 Importance of Health Analytics: Information Technology (IT) and Decision Support Techniques 3 The Scope of Health Care Services, and Recent Trends 4 Health Care Services Management 5 Distinctive Characteristics of Health Care Services 5 Big Data and Data Flow in Health Care Organizations 7 Summary 9 Key Terms 9 Chapter 1 Supplement: Data Analytics ...

List of contents

Tables and Figures ix
 
Foreword xix
 
Acknowledgments xxi
 
The Author xxiii
 
Introduction xxv
 
Chapter-by-Chapter Revisions for the Third Edition xxvi
 

1: Introduction to Analytics and Decision Support in Health Care Management Operations
 
Historical Background and the Development of Decision Techniques
 
The Health Care Manager and Decision Making
 
Importance of Health Analytics: Information Technology (IT) and
 
Decision Support Techniques
 
The Scope of Health Care Services, and Recent Trends
 
Health Care Services Management
 
Distinctive Characteristics of Health Care Services
 
Big Data and Data Flow in Health Care Organizations
 
Summary
 
Key Terms
 
Chapter 1- Supplement- Data Analytics in MS Excel: Creating and
 
Manipulating Pivot Tables
 
Exercises
 

2: Predictive Analytics
 
Steps in the Predictive Analytics Process
 
Predictive Analytics Techniques
 
Judgmental Predictions
 
Time-Series Technique
 
Techniques for Averaging
 
Techniques for Trend
 
Predictive Techniques for Seasonality
 
Accuracy of Predictive Techniques
 
Prediction Control
 
Summary
 
Key Terms
 
Exercises
 

3: Decision Making in Health Care
 
The Decision Process
 
What Causes Poor Decisions?
 
The Decision Level and Decision Milieu
 
Decision Making Under Uncertainty
 
Payoff Table
 
Decision Making Under Risk
 
What If Payoffs Are Costs
 
The Decision Tree Approach
 
Sensitivity Analysis in Decision Making
 
Decision Analysis with Nonmonetary Values and Multiple Attributes
 
Clinical Decision Making and Implications for Management
 
Summary
 
Key Terms
 
Exercises
 

4: Facility Location
 
Location Methods
 
Cost-Profit-Volume (CPV) Analysis
 
Factor Rating Methods
 
Multi-Attribute Methods
 
Center-of-Gravity Method
 
Geographic Information Systems (GIS) in Health Care
 
Summary
 
Key Terms
 
Exercises
 

5: Facility Layout
 
Product Layout
 
Process Layout
 
Process Layout Methods
 
Method of Minimizing Distances and Costs
 
Computer-Based Layout Programs
 
Fixed Position Layout
 
Summary
 
Key Terms
 
Exercises
 

6: Flow Process Improvement-Reengineering & Lean Management
 
Reengineering
 
Lean Management
 
Work Design in Health Care Organizations
 
Work Measurement Using Time Standards
 
Work Measurement Using Work Sampling
 
Work Simplification
 
Worker Compensation
 
Summary
 
Key Terms
 
Exercises
 

7: Staffing
 
Workload Management Overview
 
Establishment of Workload Standards and Their Influence on Staffing
 
Levels
 
Patient Acuity Systems
 
The Development of Internal Workload Standards
 
External Work Standards and Their Adjustments
 
Productivity and Workload Management
 
Summary
 
Key Terms
 
Exercises
 

8: Scheduling
 
Staff Scheduling
 
Surgical Suite Resource Scheduling
 
Summary
 
Key Terms
 
Exercises
 

9: Productivity and Performance Benchmarking
 
Trends in Health Care Productivity: Consequences of Reforms and
 
Policy Deci

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