Analytics and Decision Support in Health Care Operations Management

Detalles Bibliográficos
Autor principal: Ozcan, Yasar A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2017.
Colección:New York Academy of Sciences Ser.
Temas:
Electronic books.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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

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