{"product_id":"analytics-and-decision-support-in-health-care-operations-management-isbn-9781119219811","title":"Analytics and Decision Support in Health Care Operations Management","description":"\u003cb\u003eA compendium of health care quantitative techniques based in Excel\u003c\/b\u003e \u003cp\u003e\u003ci\u003eAnalytics and Decision Support in Health Care Operations\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eThe 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. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eLearn critical analytics and decision support techniques specific to health care administration\u003c\/li\u003e \u003cli\u003eIncrease efficiency and effectiveness in problem-solving and decision support\u003c\/li\u003e \u003cli\u003eLocate appropriate data in different commonly-used hospital information systems\u003c\/li\u003e \u003cli\u003eConduct analyses, simulations, productivity measurements, scheduling, and more\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eFrom 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. \u003ci\u003eAnalytics and Decision Support in Health Care Operations\u003c\/i\u003e provides essential guidance on these critical skills that every professional needs. \u003c\/p\u003e\u003cp\u003eTables and Figures xi\u003c\/p\u003e \u003cp\u003eAcknowledgments xxi\u003c\/p\u003e \u003cp\u003eThe Author xxiii\u003c\/p\u003e \u003cp\u003eIntroduction xxv\u003c\/p\u003e \u003cp\u003eChapter-by-Chapter Revisions for the Third Edition xxvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1: Introduction to Analytics and Decision Support in Health Care Operations Management 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 1\u003c\/p\u003e \u003cp\u003eHistorical Background and the Development of Decision Techniques 2\u003c\/p\u003e \u003cp\u003eThe Health Care Manager and Decision Making 3\u003c\/p\u003e \u003cp\u003eImportance of Health Analytics: Information Technology (IT) and Decision Support Techniques 3\u003c\/p\u003e \u003cp\u003eThe Scope of Health Care Services, and Recent Trends 4\u003c\/p\u003e \u003cp\u003eHealth Care Services Management 5\u003c\/p\u003e \u003cp\u003eDistinctive Characteristics of Health Care Services 5\u003c\/p\u003e \u003cp\u003eBig Data and Data Flow in Health Care Organizations 7\u003c\/p\u003e \u003cp\u003eSummary 9\u003c\/p\u003e \u003cp\u003eKey Terms 9\u003c\/p\u003e \u003cp\u003eChapter 1 Supplement: Data Analytics in MS Excel: Creating and Manipulating Pivot Tables 10\u003c\/p\u003e \u003cp\u003eExercises 23\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2: Predictive Analytics 27\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 27\u003c\/p\u003e \u003cp\u003eSteps in the Predictive Analytics Process 28\u003c\/p\u003e \u003cp\u003ePredictive Analytics Techniques 29\u003c\/p\u003e \u003cp\u003eJudgmental Predictions 29\u003c\/p\u003e \u003cp\u003eTime-Series Technique 30\u003c\/p\u003e \u003cp\u003eTechniques for Averaging 31\u003c\/p\u003e \u003cp\u003eTechniques for Trend 41\u003c\/p\u003e \u003cp\u003ePredictive Techniques for Seasonality 55\u003c\/p\u003e \u003cp\u003eAccuracy of Predictive Analytics 61\u003c\/p\u003e \u003cp\u003ePrediction Control 62\u003c\/p\u003e \u003cp\u003eSummary 65\u003c\/p\u003e \u003cp\u003eKey Terms 65\u003c\/p\u003e \u003cp\u003eExercises 66\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3: Decision Making in Health Care 85\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 85\u003c\/p\u003e \u003cp\u003eThe Decision Process 85\u003c\/p\u003e \u003cp\u003eWhat Causes Poor Decisions? 87\u003c\/p\u003e \u003cp\u003eThe Decision Level and Decision Milieu 87\u003c\/p\u003e \u003cp\u003eDecision Making under Uncertainty 88\u003c\/p\u003e \u003cp\u003ePayoff Table 88\u003c\/p\u003e \u003cp\u003eDecision Making under Risk 93\u003c\/p\u003e \u003cp\u003eWhat If Payoff s Are Costs 97\u003c\/p\u003e \u003cp\u003eThe Decision Tree Approach 101\u003c\/p\u003e \u003cp\u003eAnalysis of the Decision Tree: Rollback Procedure 102\u003c\/p\u003e \u003cp\u003eSensitivity Analysis in Decision Making 103\u003c\/p\u003e \u003cp\u003eDecision Analysis with Nonmonetary Values and Multiple Attributes 107\u003c\/p\u003e \u003cp\u003eClinical Decision Making and Implications for Management 110\u003c\/p\u003e \u003cp\u003eSummary 114\u003c\/p\u003e \u003cp\u003eKey Terms 114\u003c\/p\u003e \u003cp\u003eExercises 115\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4: Facility Location 135\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 135\u003c\/p\u003e \u003cp\u003eLocation Methods 137\u003c\/p\u003e \u003cp\u003eCost-Profit-Volume (CPV) Analysis 137\u003c\/p\u003e \u003cp\u003eFactor Rating Methods 140\u003c\/p\u003e \u003cp\u003eMulti-Attribute Methods 143\u003c\/p\u003e \u003cp\u003eCenter of Gravity Method 145\u003c\/p\u003e \u003cp\u003eGeographic Information Systems (GIS) in Health Care 149\u003c\/p\u003e \u003cp\u003eSummary 154\u003c\/p\u003e \u003cp\u003eKey Terms 154\u003c\/p\u003e \u003cp\u003eExercises 155\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5: Facility Layout 169\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 169\u003c\/p\u003e \u003cp\u003eProduct Layout 170\u003c\/p\u003e \u003cp\u003eProcess Layout 171\u003c\/p\u003e \u003cp\u003eProcess Layout Methods 171\u003c\/p\u003e \u003cp\u003eMethod of Minimizing Distances and Costs 175\u003c\/p\u003e \u003cp\u003eComputer-Based Layout Programs 175\u003c\/p\u003e \u003cp\u003eFixed-Position Layout 177\u003c\/p\u003e \u003cp\u003eSummary 180\u003c\/p\u003e \u003cp\u003eKey Terms 180\u003c\/p\u003e \u003cp\u003eExercises 181\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6: Flow Processes Improvement: Reengineering and Lean Management 197\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 197\u003c\/p\u003e \u003cp\u003eReengineering 198\u003c\/p\u003e \u003cp\u003eLean Management 199\u003c\/p\u003e \u003cp\u003eWork Design in Health Care Organizations 203\u003c\/p\u003e \u003cp\u003eWork Measurement Using Time Standards 207\u003c\/p\u003e \u003cp\u003eWork Measurement Using Work Sampling 214\u003c\/p\u003e \u003cp\u003eWork Simplification 223\u003c\/p\u003e \u003cp\u003eWorker Compensation 237\u003c\/p\u003e \u003cp\u003eSummary 237\u003c\/p\u003e \u003cp\u003eKey Terms 238\u003c\/p\u003e \u003cp\u003eExercises 238\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7: Staffing 253\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 253\u003c\/p\u003e \u003cp\u003eWorkload Management Overview 254\u003c\/p\u003e \u003cp\u003eEstablishment of Workload Standards and Their Influence on Staffing Levels 254\u003c\/p\u003e \u003cp\u003ePatient Acuity Systems 256\u003c\/p\u003e \u003cp\u003eThe Development of Internal Workload Standards 261\u003c\/p\u003e \u003cp\u003eProcedurally Based Unit Staffing 263\u003c\/p\u003e \u003cp\u003eAcuity-Based Unit Staffing 266\u003c\/p\u003e \u003cp\u003eExternal Work Standards and Their Adjustments 270\u003c\/p\u003e \u003cp\u003eProductivity and Workload Management 271\u003c\/p\u003e \u003cp\u003eSummary 273\u003c\/p\u003e \u003cp\u003eKey Terms 273\u003c\/p\u003e \u003cp\u003eExercises 273\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8: Scheduling 281\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 281\u003c\/p\u003e \u003cp\u003eStaff Scheduling 281\u003c\/p\u003e \u003cp\u003eSurgical Suite Resource Scheduling 290\u003c\/p\u003e \u003cp\u003eSummary 294\u003c\/p\u003e \u003cp\u003eKey Terms 295\u003c\/p\u003e \u003cp\u003eExercises 295\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9: Productivity and Performance Benchmarking 297\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 297\u003c\/p\u003e \u003cp\u003eTrends in Health Care Productivity: Consequences of Reforms and Policy Decisions 298\u003c\/p\u003e \u003cp\u003eProductivity Definitions and Measurements 299\u003c\/p\u003e \u003cp\u003eCommonly Used Productivity Ratios 302\u003c\/p\u003e \u003cp\u003eAdjustments for Inputs 304\u003c\/p\u003e \u003cp\u003eAdjustments for Outputs 308\u003c\/p\u003e \u003cp\u003eCase Mix Adjustments 310\u003c\/p\u003e \u003cp\u003eProductivity Measures Using Direct Care Hours 312\u003c\/p\u003e \u003cp\u003eThe Relationships between Productivity and Quality in Hospital Settings 314\u003c\/p\u003e \u003cp\u003eDealing with the Multiple Dimensions of Productivity: New Methods of Measurement and Benchmarking 316\u003c\/p\u003e \u003cp\u003eData Envelopment Analysis 318\u003c\/p\u003e \u003cp\u003eOverview on Improving Health Care Productivity 321\u003c\/p\u003e \u003cp\u003eSummary 323\u003c\/p\u003e \u003cp\u003eKey Terms 323\u003c\/p\u003e \u003cp\u003eExercises 323\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10: Resource Allocation 333\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 333\u003c\/p\u003e \u003cp\u003eLinear Programming 333\u003c\/p\u003e \u003cp\u003eMaximization Models 335\u003c\/p\u003e \u003cp\u003eMinimization Models 345\u003c\/p\u003e \u003cp\u003eInteger Programming 346\u003c\/p\u003e \u003cp\u003eSummary 355\u003c\/p\u003e \u003cp\u003eKey Terms 356\u003c\/p\u003e \u003cp\u003eExercises 356\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11: Supply Chain and Inventory Management 363\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 363\u003c\/p\u003e \u003cp\u003eHealth Care Supply Chain 363\u003c\/p\u003e \u003cp\u003eTraditional Inventory Management 370\u003c\/p\u003e \u003cp\u003eEconomic Order Quantity Model 374\u003c\/p\u003e \u003cp\u003eClassification System 379\u003c\/p\u003e \u003cp\u003eSummary 384\u003c\/p\u003e \u003cp\u003eKey Terms 384\u003c\/p\u003e \u003cp\u003eExercises 384\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12: Quality Control and Improvement 393\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 393\u003c\/p\u003e \u003cp\u003eQuality in Health Care 393\u003c\/p\u003e \u003cp\u003eTotal Quality Management (TQM) and Continuous Quality Improvement (CQI) 397\u003c\/p\u003e \u003cp\u003eSix-Sigma 398\u003c\/p\u003e \u003cp\u003eQuality Measurement and Control Techniques 399\u003c\/p\u003e \u003cp\u003eMonitoring Variation through Control Charts 401\u003c\/p\u003e \u003cp\u003eControl Charts for Attributes 403\u003c\/p\u003e \u003cp\u003eControl Charts for Continuous Variables 407\u003c\/p\u003e \u003cp\u003eInvestigation of Control Chart Patterns 412\u003c\/p\u003e \u003cp\u003eProcess Improvement 415\u003c\/p\u003e \u003cp\u003eTools for Investigating the Presence of Quality Problems and Their Causes 417\u003c\/p\u003e \u003cp\u003eSummary 421\u003c\/p\u003e \u003cp\u003eKey Terms 421\u003c\/p\u003e \u003cp\u003eExercises 421\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13: Project Management\u003c\/b\u003e 431\u003c\/p\u003e \u003cp\u003eLearning Objectives 431\u003c\/p\u003e \u003cp\u003eThe Characteristics of Projects 432\u003c\/p\u003e \u003cp\u003ePlanning and Scheduling Projects 434\u003c\/p\u003e \u003cp\u003eThe Network 436\u003c\/p\u003e \u003cp\u003eCritical Path Method (CPM) 437\u003c\/p\u003e \u003cp\u003eProbabilistic Approach 441\u003c\/p\u003e \u003cp\u003eProject Compression: Trade-Off s Between Reduced Project Time and Cost 448\u003c\/p\u003e \u003cp\u003eProject Management Applications in Clinical Settings: Clinical Pathways 461\u003c\/p\u003e \u003cp\u003eSummary 464\u003c\/p\u003e \u003cp\u003eKey Terms 464\u003c\/p\u003e \u003cp\u003eExercises 464\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14: Queuing Models and Capacity Planning 477\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 477\u003c\/p\u003e \u003cp\u003eQueuing System Characteristics 479\u003c\/p\u003e \u003cp\u003eCapacity Analysis and Costs 494\u003c\/p\u003e \u003cp\u003eSummary 496\u003c\/p\u003e \u003cp\u003eKey Terms 497\u003c\/p\u003e \u003cp\u003eExercises 497\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15: Simulation 507\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLearning Objectives 507\u003c\/p\u003e \u003cp\u003eSimulation Process 507\u003c\/p\u003e \u003cp\u003eMonte Carlo Simulation Method 510\u003c\/p\u003e \u003cp\u003ePerformance Measures and Managerial Decisions 516\u003c\/p\u003e \u003cp\u003eExcel-Based Simulation Templates with Performance Measures and Managerial Decisions 517\u003c\/p\u003e \u003cp\u003eMultiphase Simulation Model 520\u003c\/p\u003e \u003cp\u003eSummary 522\u003c\/p\u003e \u003cp\u003eKey Terms 522\u003c\/p\u003e \u003cp\u003eExercises 522\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendixes\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAppendix A: Standard Normal Distribution 527\u003c\/p\u003e \u003cp\u003eAppendix B: Standard Normal Distribution 529\u003c\/p\u003e \u003cp\u003eAppendix C: Cumulative Poisson Probabilities 533\u003c\/p\u003e \u003cp\u003eAppendix D: t-Distribution 539\u003c\/p\u003e \u003cp\u003eReferences 541\u003c\/p\u003e \u003cp\u003eIndex 549\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eThe Author\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eYASAR A. OZCAN, PhD,\u003c\/b\u003e 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 \u003ci\u003eHealth Care Management Science\u003c\/i\u003e. 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.  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eA PRACTICAL, EXCEL-BASED INTRODUCTION TO CORE ANALYTIC AND DECISION SUPPORT TECHNIQUES IN HEALTH SERVICES ADMINISTRATION\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eAnalytics and Decision Support in Health Care Operations Management\u003c\/i\u003e provides a comprehensive introduction to essential analytic methods spanning tactical, operational, and strategic decision-making and analysis, with clear explanation and practical demonstration.\u003c\/p\u003e \u003cp\u003eNow in its third edition, this book features Excel-based examples and exercises that illustrate everyday applications, with clear direction on data acquisition under a variety of systems.\u003c\/p\u003e \u003cp\u003eExtensive exercises link concept to practice in real-world terms, while authoritative explanation of new and emerging technologies leaves administrators better-equipped to improve their facilities' performance.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eAnalytics and Decision Support in Health Care Operations Management, Third Edition\u003c\/i\u003e explores:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eEssential analytic techniques including decision tree analysis, productivity measurement, queuing models, simulation, supply chain, and project management\u003c\/li\u003e \u003cli\u003eManagement models and methods for improving processes and productivity, with new in-depth coverage of lean management, six sigma, quality control, and more\u003c\/li\u003e \u003cli\u003eGeographic information systems, free macro based \"Excel templates\", access to health information databases, and other technology critical to effective health care administration\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eExcel templates, PowerPoint slides, web-based chapter-end supplements, and data sources facilitate use in the classroom, while the practical focus and comprehensive scope provide a high-value resource for working administrators. Accurately reflecting analytics' increasing role in health care administration, this book provides the critical guidance every professional needs.\u003c\/p\u003e","brand":"Jossey-Bass","offers":[{"title":"Default Title","offer_id":47988736164069,"sku":"NP9781119219811","price":88.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119219811.jpg?v=1761781386","url":"https:\/\/k12savings.com\/products\/analytics-and-decision-support-in-health-care-operations-management-isbn-9781119219811","provider":"K12savings","version":"1.0","type":"link"}