Overview

An expert guide on the application of health care data and analytics to difficult operations and management problems In the newly revised fourth edition of Health Care Analytics and Operations Management: History, Diagnosis, and Empirical Foundations, a team of veteran health analytics and administration experts delivers an incisive discussion of the real-world application of health care analytics and decision support in health administration and health care management. The authors deploy contemporary examples from the field and the book provides complimentary access to online resources for professors, including PowerPoint lecture slides, chapter exercise solutions, sample curse syllabi, and health care data sets. They've also included a selection of experiential projects that demonstrate the hands-on use of the methods and concepts covered in the book. Readers will find: An intuitive, Excel-focused set of solutions to common health administration problems, complete with templates and analytical tools Step-by-step discussions of the application of analytic techniques for effective health care decision making Extensive tables, figures, appendices, and practice exercises to support the material explained in the book Perfect for students of one-semester courses in graduate and advanced undergraduate health care management and administration programs, Health Care Analytics and Operations Management is also a must-read resource for practicing health care managers seeking a hands-on guide to solving common challenges in the field.

Full Product Details

Author:   Hillary A. Linhart (Virginia Commonwealth University (VCU), Richmond, VA) ,  Yasar A. Ozcan (Virginia Commonwealth University (VCU), Richmond, VA)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Edition:   4th edition
Dimensions:   Width: 18.80cm , Height: 3.60cm , Length: 22.90cm
Weight:   0.839kg
ISBN:  

9781394296064

ISBN 10:   1394296061
Pages:   608
Publication Date:   03 March 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Tables and Figures xiii About the Authors xxi Acknowledgments xxiii About the Companion Website xxv Introduction xxvii Chapter-by-Chapter Revisions for the Fourth Edition xxix Chapter 1: Introduction to Health Care Analytics and operations Management 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 3 Health Care Services Management 5 Distinctive Characteristics of Health Care Services 6 Patient Participation 6 Simultaneous Production and Consumption 6 Perishable Capacity 6 The Intangible Nature of Health Care Outputs 7 The High Levels of Judgment Called Upon, and the Heterogeneous Nature of Health Care 7 Big Data and Data Flow in Health Care Organizations 7 Summary 9 Exercises 17 References 20 Chapter 2: Predictive Analytics 21 Steps in the Predictive Analytics Process 22 Identify the Goal of the Predictive Analytics 22 Establish a Time Horizon 22 Select a Predictive Analytics Technique 22 Conduct the Prediction 22 Monitor Accuracy 23 Predictive Analytics Techniques 23 Judgmental Predictions 23 Time-Series Technique 24 Techniques for Averaging 25 Techniques for Trend 35 Predictive Techniques for Seasonality 49 Accuracy of Predictive Analytics 55 Prediction Control 56 Summary 59 Exercises 60 Chapter 3: Decision-Making in Health Care 79 The Decision Process 79 What Causes Poor Decisions? 81 The Decision Level and Decision Milieu 82 Decision-making under Uncertainty 82 Payoff Table 83 Decision-making Under Risk 87 What If Payoffs Are Costs? 92 The Decision Tree Approach 96 Analysis of the Decision Tree: Rollback Procedure 97 Sensitivity Analysis in Decision-making 99 Decision Analysis with Nonmonetary Values and Multiple Attributes 102 Dominance Procedure 103 Minimum Attribute Satisfaction Procedure 104 Most Important Attribute Procedure 104 Clinical Decision-making and Implications for Management 105 Summary 108 Exercises 109 Reference 132 Chapter 4: Facility Location 133 Location Methods 134 Cost–Profit–Volume (CPV) Analysis 135 Factor Rating Methods 138 Multi-attribute Methods 141 Center of Gravity Method 144 Geographic Information Systems (GISs) in Health Care 147 Summary 151 Exercises 152 References 165 Chapter 5: Facility Layout 167 Product Layout 168 Process Layout 169 Process Layout Methods 169 Method of Minimizing Distances and Costs 173 Computer-based Layout Programs 173 Fixed-position Layout 175 Summary 179 Exercises 180 References 196 Chapter 6: Process Improvement: Reengineering and Lean Management 197 Reengineering 198 Lean Management 199 Define the Value 200 Map the Process 200 Identify Process Waste 200 Identify Improvements 201 Map the Future State 202 Implement Improvements 202 Repeat the Cycle 203 Work Design in Health Care Organizations 203 Work Design 203 Job Design 204 Work Measurement Using Time Standards 207 Work Measurement Using Work Sampling 214 Work Simplification 222 Worker Compensation 235 Summary 236 Exercises 236 References 251 Chapter 7: Staffing 253 Workload Management Overview 254 Establishment of Workload Standards and Their Influence on Staffing Levels 255 Patient Acuity Systems 256 The Development of Internal Workload Standards 261 Procedurally Based Unit Staffing 263 Acuity-based Unit Staffing 266 External Work Standards and Their Adjustments 270 Productivity and Workload Management 271 Summary 273 Exercises 273 References 281 Chapter 8: Scheduling 283 Staff Scheduling 283 The Eight-, Ten-, and Twelve-Hour Shifts—Studies of Shift Patterns 285 Implementation of a New Work System 291 Surgical Suite Resource Scheduling 292 Operating Room Scheduling Systems 293 Assessment of Scheduling Alternatives 296 Estimation of Procedure Times 296 Summary 297 Exercises 298 References 299 Chapter 9: Productivity and Performance Benchmarking 301 Trends in Health Care Productivity: Consequences of Reforms and Policy Decisions 302 Productivity Definitions and Measurements 303 Productivity Benchmarking 304 Multifactor Productivity 304 Commonly Used Productivity Ratios 306 Hours per Patient Day (or Visit) 307 Adjustments for Inputs 308 Adjustments for Outputs 312 Case Mix Adjustments 314 Productivity Measures Using Direct Care Hours 316 The Relationships between Productivity and Quality in Hospital Settings 318 Summary of Productivity-Related Dilemmas in the Hospital Setting 320 Dealing with the Multiple Dimensions of Productivity: New Methods of Measurement and Benchmarking 321 Technical Efficiency 321 Economic Efficiency 322 Data Envelopment Analysis 323 Overview on Improving Health Care Productivity 326 Summary 327 Exercises 328 References 337 Chapter 10: Resource Allocation 339 Linear Programming 339 Maximization Models 341 Minimization Models 353 Integer Linear Programming 355 Summary 362 Exercises 363 References 368 Chapter 11: Supply Chain and Inventory Management 369 Health Care Supply Chain 369 Manufacturers/Suppliers 370 Flow of Materials 373 Supply Chain Management Issues for Providers 373 Contemporary Issues in Medical Inventory Management 374 Traditional Inventory Management 376 Requirements for Effective Inventory Management 377 Inventory Accounting Systems 378 Lead Time 379 Cost Information 379 Economic Order Quantity Model 380 Classification System 387 When to Reorder 389 Summary 390 Exercises 391 References 399 Chapter 12: Quality Control and Improvement 401 Quality in Health Care 401 Quality Experts 404 Quality Certifications and Awards 404 Total Quality Management (TQM) and Continuous Quality Improvement (CQI) 405 Six Sigma 406 Quality Measurement and Control Techniques 408 Process Variability 408 Monitoring Variation Through Control Charts 409 Control Charts for Attributes 411 Control Charts for Continuous Variables 415 Investigation of Control Chart Patterns 421 Process Improvement 424 Methods for Generating New Ideas 424 Tools for Investigating the Presence of Quality Problems and Their Causes 426 Summary 429 Exercises 432 References 441 Chapter 13: Project Management 443 The Characteristics of Projects 444 The Project Manager 444 Managing Teams and Relationships on Projects 445 Approaches to Project Management 446 Planning and Scheduling Projects 446 The Network 449 Critical Path Method (CPM) 450 Probabilistic Approach 454 The Case of a Dominant Critical Path 460 Project Compression: Trade-offs between Reduced Project Time and Cost 462 Project Management Applications in Clinical Settings: Clinical Pathways 475 Summary 477 Exercises 478 References 492 Chapter 14: Queuing Models and Capacity Planning 493 Queuing System Characteristics 495 Population Source 496 Number of Servers 496 Arrival Patterns 497 Service Patterns 499 Queue Characteristics 501 Measures of Queuing System Performance 502 Typical Infinite Source Models 502 Model Formulations 503 Capacity Analysis and Costs 510 Summary 512 Exercises 513 Chapter 15: Simulation 523 Simulation Process 523 Monte Carlo Simulation Method 526 Performance Measures and Managerial Decisions 532 Excel-Based Simulation Templates with Performance Measures and Managerial Decisions 533 Multiphase Simulation Model 536 Summary 538 Exercises 538 Appendixes Appendix A: Standard Normal Distribution 543 Appendix B: Standard Normal Distribution 545 Appendix C: Cumulative Poisson Probabilities 549 Appendix D: t-Distribution 555 Index 000

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Author Information

HILLARY A. LINHART is an experienced adjunct professor and lecturer of health care analytics and organization. YASAR A. OZCAN Professor Emeritus, Department of Health Administration, Virginia Common wealth University.

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