{"product_id":"healthcare-systems-engineering-isbn-9781118971086","title":"Healthcare Systems Engineering","description":"\u003cb\u003eApply engineering and design principles to revitalize the healthcare delivery system\u003c\/b\u003e \u003cp\u003e\u003ci\u003eHealthcare Systems Engineering\u003c\/i\u003e is the first engineering book to cover this emerging field, offering comprehensive coverage of the healthcare system, healthcare delivery, and healthcare systems modeling. Written by leading industrial engineering authorities and a medical doctor specializing in healthcare delivery systems, this book provides a well-rounded resource for readers of a variety of backgrounds. Examples, case studies, and thoughtful learning activities are used to thoroughly explain the concepts presented, including healthcare systems, delivery, quantification, and design. You'll learn how to approach the healthcare industry as a complex system, and apply relevant design and engineering principles and processes to advance improvements. Written with an eye toward practicality, this book is designed to maximize your understanding and help you quickly apply toward solutions for a variety of healthcare challenges. \u003c\/p\u003e\u003cp\u003eHealthcare systems engineering is a new and complex interdisciplinary field that has emerged to address the myriad challenges facing the healthcare industry in the wake of reform. This book functions as both an introduction and a reference, giving you the knowledge you need to move toward better healthcare delivery. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eUnderstand the healthcare delivery context\u003c\/li\u003e \u003cli\u003eUse appropriate statistical and quantitative models\u003c\/li\u003e \u003cli\u003eImprove existing systems and design new ones\u003c\/li\u003e \u003cli\u003eApply systems engineering to a variety of healthcare contexts\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eHealthcare systems engineering overlaps with industrial engineering, operations research, and management science, uniting the principles and practices of these fields together in pursuit of optimal healthcare operations. Although collaboration is focused on practitioners, professionals in information technology, policy and administration, public health, and law all play crucial roles in revamping health care systems. \u003ci\u003eHealthcare Systems Engineering\u003c\/i\u003e is a complete and authoritative reference for stakeholders in any field. \u003c\/p\u003e\u003cp\u003eAcknowledgments xi\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 The Healthcare Delivery System 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 1\u003c\/p\u003e \u003cp\u003e1.1 Healthcare Delivery Components 2\u003c\/p\u003e \u003cp\u003e1.2 Major Stakeholders 6\u003c\/p\u003e \u003cp\u003e1.3 Global Issues in Health 6\u003c\/p\u003e \u003cp\u003e1.4 Drivers for Healthcare Systems 13\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 22\u003c\/p\u003e \u003cp\u003eReferences 23\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Complexity and Systems in Healthcare 25\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 25\u003c\/p\u003e \u003cp\u003e2.1 Taking a Systems Approach to Healthcare 25\u003c\/p\u003e \u003cp\u003e2.2 Complex Adaptive Systems 28\u003c\/p\u003e \u003cp\u003eCase Study 2A: Complexity in Chronic Kidney Disease 31\u003c\/p\u003e \u003cp\u003e2.3 Systems Thinking and System Dynamics 34\u003c\/p\u003e \u003cp\u003eCase Study 2B: Systems Thinking and Causal Loop Diagrams in CKD 40\u003c\/p\u003e \u003cp\u003eCase Study 2C: System Dynamics and Stock Flow Diagrams in CKD 45\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 48\u003c\/p\u003e \u003cp\u003eReferences 49\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Patient Flow 53\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 53\u003c\/p\u003e \u003cp\u003e3.1 Healthcare Settings and Clinical Workflows 53\u003c\/p\u003e \u003cp\u003e3.2 Patient Flow through a Hospital 64\u003c\/p\u003e \u003cp\u003e3.3 Care Transitions 71\u003c\/p\u003e \u003cp\u003e3.4 Process Mapping 75\u003c\/p\u003e \u003cp\u003e3.5 Queuing 78\u003c\/p\u003e \u003cp\u003eCase Study 3: ED Crowding – A Patient Flow Solution 80\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 83\u003c\/p\u003e \u003cp\u003eReferences 83\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Healthcare Financing 91\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 91\u003c\/p\u003e \u003cp\u003e4.1 Financing Models for Health Services 91\u003c\/p\u003e \u003cp\u003e4.2 Compensation Models for Providers 95\u003c\/p\u003e \u003cp\u003e4.3 Cost Allocation and Charges 97\u003c\/p\u003e \u003cp\u003e4.4 Capital Budgeting 103\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 107\u003c\/p\u003e \u003cp\u003eReferences 108\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Health Data and Informatics 111\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 111\u003c\/p\u003e \u003cp\u003e5.1 Healthcare Data 116\u003c\/p\u003e \u003cp\u003e5.2 Electronic Health Records 121\u003c\/p\u003e \u003cp\u003e5.3 Health Information Exchange 130\u003c\/p\u003e \u003cp\u003e5.4 Publicly Reported Healthcare Data 132\u003c\/p\u003e \u003cp\u003eCase Study 5: Health Informatics at a Hospital—A 10-Year Journey 136\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 139\u003c\/p\u003e \u003cp\u003eReferences 140\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Lean 141\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 141\u003c\/p\u003e \u003cp\u003e6.1 Lean Philosophy and Methods 141\u003c\/p\u003e \u003cp\u003e6.2 Drivers for Lean Healthcare Systems 143\u003c\/p\u003e \u003cp\u003e6.3 A Toolset for Eliminating Wastes 146\u003c\/p\u003e \u003cp\u003e6.4 Value Stream Mapping 148\u003c\/p\u003e \u003cp\u003e6.5 A3 150\u003c\/p\u003e \u003cp\u003e6.6 5S 157\u003c\/p\u003e \u003cp\u003e6.7 Kanban 160\u003c\/p\u003e \u003cp\u003e6.8 Lean Implementations 164\u003c\/p\u003e \u003cp\u003e6.9 Lean Thinking 165\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 166\u003c\/p\u003e \u003cp\u003eReferences 166\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Six Sigma 169\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 169\u003c\/p\u003e \u003cp\u003e7.1 Six Sigma Philosophy 169\u003c\/p\u003e \u003cp\u003e7.2 Six Sigma Quality 170\u003c\/p\u003e \u003cp\u003eCase Study 7A: Quantifying Complexity in Translational Research 201\u003c\/p\u003e \u003cp\u003eCase Study 7B: Evaluating Collaboration in Translational Research 205\u003c\/p\u003e \u003cp\u003eCase Study 7C: Resource Allocation in Translational Research 208\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 210\u003c\/p\u003e \u003cp\u003eReferences 212\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Reliability and Patient Safety 217\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 217\u003c\/p\u003e \u003cp\u003e8.1 Human Reliability 217\u003c\/p\u003e \u003cp\u003e8.2 Errors in Healthcare 218\u003c\/p\u003e \u003cp\u003e8.3 Medication Errors 220\u003c\/p\u003e \u003cp\u003e8.4 Patient Falls 222\u003c\/p\u003e \u003cp\u003e8.5 Human Factors and Ergonomics for Patient Safety 227\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 236\u003c\/p\u003e \u003cp\u003eReferences 237\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Health Analytics 245\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 245\u003c\/p\u003e \u003cp\u003e9.1 Data Mining 245\u003c\/p\u003e \u003cp\u003eCase Study 9A: Predicting Parkinson’s Disease Using Data Mining 251\u003c\/p\u003e \u003cp\u003e9.2 Data Visualization 255\u003c\/p\u003e \u003cp\u003eCase Study 9B: Data Visualization in Obesity Counseling 269\u003c\/p\u003e \u003cp\u003e9.3 Social Network Analysis 271\u003c\/p\u003e \u003cp\u003eCase Study 9C: SNA in a Pediatric Intensive Care Unit (PICU) 277\u003c\/p\u003e \u003cp\u003e9.4 Data Envelopment Analysis 280\u003c\/p\u003e \u003cp\u003eCase Study 9D: Using DEA for Finding Best-in-Class Hospitals in a Network 285\u003c\/p\u003e \u003cp\u003e9.5 Multicriteria Decision Making 287\u003c\/p\u003e \u003cp\u003eCase Study 9E: Use of GP to Optimize Helicopter Emplacement at Medical Treatment Facilities 291\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 292\u003c\/p\u003e \u003cp\u003eReferences 293\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Capacity Management 297\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 297\u003c\/p\u003e \u003cp\u003e10.1 Capacity Management Challenges 297\u003c\/p\u003e \u003cp\u003e10.2 Managing Nursing Units 299\u003c\/p\u003e \u003cp\u003e10.3 Managing Operating Rooms 310\u003c\/p\u003e \u003cp\u003e10.4 Managing Diagnostic Units 316\u003c\/p\u003e \u003cp\u003e10.5 Nurse Staffing and Scheduling 317\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 320\u003c\/p\u003e \u003cp\u003eReferences 321\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Healthcare Logistics 323\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 323\u003c\/p\u003e \u003cp\u003e11.1 Facility Location 323\u003c\/p\u003e \u003cp\u003eCase Study 11: Location of Federally Qualified Healthcare Centers 337\u003c\/p\u003e \u003cp\u003e11.2 Home Healthcare Routing and Scheduling 341\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 347\u003c\/p\u003e \u003cp\u003eReferences 349\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Health Supply Chains 351\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 351\u003c\/p\u003e \u003cp\u003e12.1 Forecasting Demand 351\u003c\/p\u003e \u003cp\u003e12.2 Inventory Control 357\u003c\/p\u003e \u003cp\u003e12.3 Healthcare Distribution 363\u003c\/p\u003e \u003cp\u003e12.4 Coordinating Activities in the Supply Chain 369\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 375\u003c\/p\u003e \u003cp\u003eReferences 377\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Infection Control 379\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview 379\u003c\/p\u003e \u003cp\u003e13.1 Historical Perspective 379\u003c\/p\u003e \u003cp\u003e13.2 Infection Control Classification 381\u003c\/p\u003e \u003cp\u003e13.3 Checklists for Infection Control 383\u003c\/p\u003e \u003cp\u003e13.4 The Case of Sepsis 385\u003c\/p\u003e \u003cp\u003e13.5 Mathematical Modeling of Hospital Infection Control 388\u003c\/p\u003e \u003cp\u003eCase Study 13: Impact of Interventions on TB Infection in a Clinic 398\u003c\/p\u003e \u003cp\u003eQuestions and Learning Activities 402\u003c\/p\u003e \u003cp\u003eReferences 403\u003c\/p\u003e \u003cp\u003eIndex 405\u003c\/p\u003e   \u003cp\u003e\u003cb\u003ePAUL M. GRIFFIN, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is the Joseph C. Mello Chair and Professor of Industrial Engineering at Georgia Tech. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eHARRIET B. NEMBHARD, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e Is a Professor of Industrial Engineering at Pennsylvania State University. She is Director of the Center for Integrated Healthcare Delivery Systems. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eCHRISTOPHER J. DEFLITCH, MD,\u003c\/b\u003e is the Chief Medical Information Officer and an Associate Professor of Emergency Medicine at the Pennsylvania State University Hershey Medical Center. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eNATHANIEL D. BASTIAN, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is a Healthcare Operations Research Analyst in the United States Army Medical Department. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eHYOJUNG KANG, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is a Research Assistant Professor of Systems and Information Engineering at the University of Virginia. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDAVID A. MUÑOZ, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is a consultant at McKinsey \u0026amp; Company.    \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAN AUTHORITATIVE INDUSTRIAL ENGINEERING APPROACH TO HEALTHCARE SYSTEMS OPTIMIZATION\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eHealthcare Systems Engineering\u003c\/i\u003e offers comprehensive coverage of engineered solutions to healthcare delivery, measurement, and modeling. Thoughtful discussion tackles both domain and relevant statistical and quantitative models to improve current systems—or design new ones from the ground up. Examples and case studies illustrate the practical aspect of the presented strategies to help readers from a variety of backgrounds quickly apply new approaches in practice. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eIdentify the components, stakeholders, and major drivers of the healthcare delivery system\u003c\/li\u003e \u003cli\u003eView healthcare as a complex adaptive system to apply systems thinking and system dynamics methodologies\u003c\/li\u003e \u003cli\u003eOptimize financials with models for compensation, cost allocation, and capital budgeting\u003c\/li\u003e \u003cli\u003eManage healthcare data and find data mining and visualization solutions\u003c\/li\u003e \u003cli\u003eDig into logistics and supply chain with solid approaches to demand, inventory control, distribution, coordination, and more\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWith practical insight and clear, authoritative discussion, \u003ci\u003eHealthcare Systems Engineering\u003c\/i\u003e provides much-needed guidance for this emerging, interdisciplinary field.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989352693989,"sku":"NP9781118971086","price":135.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118971086.jpg?v=1761783783","url":"https:\/\/k12savings.com\/es\/products\/healthcare-systems-engineering-isbn-9781118971086","provider":"K12savings","version":"1.0","type":"link"}