Franklin

Analytics and Decision Support in Health Care Operations Management.

Author/Creator:
Ozcan, Yasar A.
Publication:
Somerset : John Wiley & Sons, Incorporated, 2017.
Format/Description:
Book
1 online resource (603 pages)
Edition:
3rd ed.
Series:
Jossey-Bass Public Health Ser.
Jossey-Bass Public Health Ser.
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Subjects:
Health services administration.
Form/Genre:
Electronic books.
Contents:
Analytics and Decision Support in Health Care Operations Management
Contents
Tables &
Figures
Acknowledgments
The Author
Introduction
Chapter-by-Chapter Revisions for the Third Edition
Chapter 1: Introduction to Analytics and Decision Support in Health Care Operations Management
Learning Objectives
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
Patient Participation
Simultaneous Production and Consumption
Perishable Capacity
The Intangible Nature of Health Care Outputs
The High Levels of Judgment Called Upon, and the Heterogeneous Nature of Health Care
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
Chapter 2: Predictive Analytics
Learning Objectives
Steps in the Predictive Analytics Process
Identify the Goal of the Predictive Analytics
Establish a Time Horizon
Select a Predictive Analytics Technique
Conduct the Prediction
Monitor Accuracy
Predictive Analytics Techniques
Judgmental Predictions
Time-Series Technique
Techniques for Averaging
Techniques for Trend
Predictive Techniques for Seasonality
Accuracy of Predictive Analytics
Prediction Control
Summary
Key Terms
Exercises
Chapter 3: Decision Making in Health Care
Learning Objectives
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
Analysis of the Decision Tree: Rollback Procedure
Sensitivity Analysis in Decision Making
Decision Analysis with Nonmonetary Values and Multiple Attributes
Dominance Procedure
Minimum Attribute Satisfaction Procedure
Most Important Attribute Procedure
Clinical Decision Making and Implications for Management
Summary
Key Terms
Exercises
Chapter 4: Facility Location
Learning Objectives
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
Chapter 5: Facility Layout
Learning Objectives
Product Layout
Process Layout
Process Layout Methods
Method of Minimizing Distances and Costs
Computer-Based Layout Programs
Fixed-Position Layout
Summary
Key Terms
Exercises
Chapter 6: Flow Processes Improvement: Reengineering and Lean Management
Learning Objectives
Reengineering
Lean Management
Define the Value
Map the Process
Identify Process Waste
Identify Improvements
Map the Future State
Implement Improvements
Repeat the Cycle
Work Design in Health Care Organizations
Work Design
Job Design
Work Measurement Using Time Standards
Work Measurement Using Work Sampling
Work Simplification
Worker Compensation
Summary
Key Terms
Exercises
Chapter 7: Staffing
Learning Objectives
Workload Management Overview
Establishment Of Workload Standards and Their Influence on Staffing Levels
Patient Acuity Systems
The Development of Internal Workload Standards
Procedurally Based Unit Staffing
Acuity-Based Unit Staffing
External Work Standards and Their Adjustments.
Productivity and Workload Management
Summary
Key Terms
Exercises
Chapter 8: Scheduling
Learning Objectives
Staff Scheduling
The Eight-, Ten-, and Twelve-Hour Shifts-Studies of Shift Patterns
Implementation of a New Work System
Surgical Suite Resource Scheduling
Operating Room Scheduling Systems
Assessment of Scheduling Alternatives
Estimation of Procedure Times
Summary
Key Terms
Exercises
Chapter 9: Productivity and Performance Benchmarking
Learning Objectives
Trends in Health Care Productivity: Consequences of Reforms and Policy Decisions
Productivity Definitions and Measurements
Productivity Benchmarking
Multifactor Productivity
Commonly Used Productivity Ratios
Adjustments for Inputs
Adjustments for Outputs
Case Mix Adjustments
Productivity Measures Using Direct Care Hours
The Relationships between Productivity and Qualityin Hospital Settings
Summary of Productivity-Related Dilemmasin the Hospital Setting
Dealing with the Multiple Dimensions of Productivity: New Methods of Measurement and Benchmarking
Technical Efficiency
Economic Efficiency
Data Envelopment Analysis
Overview on Improving Health Care Productivity
Summary
Key Terms
Exercises
Chapter 10: Resource Allocation
Learning Objectives
Linear Programming
Maximization Models
Minimization Models
Integer Linear Programming
Summary
Key Terms
Exercises
Chapter 11: Supply Chain and Inventory Management
Learning Objectives
Health Care Supply Chain
Manufacturers/Suppliers
Flow of Materials
Supply Chain Management Issues for Providers
Contemporary Issues in Medical Inventory Management
Traditional Inventory Management
Requirements for Effective Inventory Management
Inventory Accounting Systems
Lead Time
Cost Information.
Economic Order Quantity Model
Classification System
When to Reorder
Summary
Key Terms
Exercises
Chapter 12: Quality Control and Improvement
Learning Objectives
Quality in Health Care
Quality Experts
Quality Certifications and Awards
Total Quality Management (TQM) and Continuous Quality Improvement (CQI)
Six Sigma
Quality Measurement and Control Techniques
Process Variability
Monitoring Variation through Control Charts
Control Charts for Attributes
Control Charts for Continuous Variables
Investigation of Control Chart Patterns
Process Improvement
Methods for Generating New Ideas
Tools for Investigating the Presence of Quality Problems and Their Causes
Summary
Key Terms
Exercises
Chapter 13: Project Management
Learning Objectives
The Characteristics of Projects
The Project Manager
Managing Teams and Relationships on Projects
Planning and Scheduling Projects
The Network
Critical Path Method (CPM)
Probabilistic Approach
The Case of a Dominant Critical Path
Project Compression: Trade-Offs between Reduced Project Time and Cost
Project Management Applications in Clinical Settings: Clinical Pathways
Summary
Key Terms
Exercises
Chapter 14: Queuing Models and Capacity Planning
Learning Objectives
Queuing System Characteristics
Population Source
Number of Servers
Arrival Patterns
Service Patterns
Queue Characteristics
Measures of Queuing System Performance
Typical Infinite Source Models
Model Formulations
Capacity Analysis and Costs
Summary
Key Terms
Exercises
Chapter 15: Simulation
Learning Objectives
Simulation Process
Monte Carlo Simulation Method
Performance Measures and Managerial Decisions
Excel-Based Simulation Templates with Performance Measures and Managerial Decisions.
Multiphase Simulation Model
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
End User License Agreement.
Notes:
Description based on publisher supplied metadata and other sources.
Local notes:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2021. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Other format:
Print version: Ozcan, Yasar A. Analytics and Decision Support in Health Care Operations Management
ISBN:
9781119219835
9781119219811
OCLC:
980847517