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More About This Title Analytics and Decision Support in Health Care Operations Management, Third Edition
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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.
- 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 more
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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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.
English
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 Decisions
Productivity Definitions and Measurements
Commonly Used Productivity Ratios
Adjustments for Inputs
Adjustments for Outputs
The Relationships between Productivity and Quality in Hospital
Settings
Dealing with the Multiple Dimensions of Productivity: New Methods of Measurement and Benchmarking
Data Envelopment Analysis
Overview on Improving Health Care Productivity
Summary
Key Terms
Exercises
10: Resource Allocation
Linear Programming
Maximization Models
Minimization Models
Integer Linear Programming
Summary
Key Terms
Exercises
11: Supply Chain and Inventory -Management
Health Care Supply Chain
Traditional Inventory Management
Economic Order Quantity Model
Classification System
Summary
Key Terms
Exercises
12: Quality Control and Improvement
Quality in Health Care
Total Quality Management (TQM) and Continuous Quality
Improvement (CQI)
Six-Sigma
Quality Measurement and Control Techniques
Monitoring Variation through Control Charts
Control Charts for Attributes
Control Charts for Continuous Variables
Investigation of Control Chart Patterns
Process Improvement Tools for Investigating the Presence of Quality Problems and Their Causes
Summary
Key Terms
Supplement to Chapter 12- Creating a Pareto Diagram
Exercises
13: Project Management
The Characteristics of Projects
Planning and Scheduling Projects
Critical Path Method (CPM)
Probabilistic Approach
Project Compression: Trade-Offs Between Reduced Project Time and
Cost
Project Management Applications in Clinical Settings: Clinical
Pathways
Summary
Key Terms
Exercises
14: Queuing Models and Capacity -Planning
Queuing System Characteristics
Measures of Queuing System Performance
Typical Infinite-Source Models
Capacity Analysis and Costs
Summary
Key Terms
Exercises
15: Simulation
Simulation Process
Monte Carlo Simulation Method
Performance Measures and Managerial Decisions
Excel based Simulation Templates with Performance Measures and
Managerial Decisions
Summary
Key Terms
Exercises
Appendixes
Appendix A Standard Normal Distribution
Appendix B Standard Normal Distribution
Appendix C Cumulative Poisson Probabilities
Appendix D t-Distribution
References
Index
