Handbook of Healthcare System Scheduling (International Series in Operations Research & Management Science 168)

This edited volume captures and communicates the best thinking on how to improve healthcare by improving the delivery of services -- providing care when and where it is needed most -- through application of state-of-the-art scheduling systems. Over 12 chapters, the authors cover aspects of setting appointments, allocating healthcare resources, and planning to ensure that capacity matches needs for care. A central theme of the book is increasing healthcare efficiency so that both the cost of care is reduced and more patients have access to care. This can be accomplished through reduction of idle time, lessening the time needed to provide services and matching resources to the needs where they can have the greatest possible impact on health. Within their chapters, authors address: (1) Use of scheduling to improve healthcare efficiency. (2) Objectives, constraints and mathematical formulations. (3) Key methods and techniques for creating schedules. (4) Recent developments that improve the available problem solving methods. (5) Actual applications, demonstrating how the methods can be used. (6) Future directions in which the field of research is heading. Collectively, the chapters provide a comprehensive state-of-the-art review of models and methods for scheduling the delivery of patient care for all parts of the healthcare system. Chapter topics include setting appointments for ambulatory care and outpatient procedures, surgical scheduling, nurse scheduling, bed management and allocation, medical supply logistics and routing and scheduling for home healthcare. Cover......Page 1 Handbook of Healthcare System Scheduling......Page 3 Preface......Page 5 Contents......Page 6 Contributors......Page 8 12.1...Introduction......Page 10 12.2...Literature on Frameworks for Planning and Control......Page 12 12.3...A Generic Framework for Healthcare Planning and Control......Page 13 11.2.2 Home Health Nurse Districting......Page 15 7.2.3 Relevance......Page 16 Resource Capacity Planning......Page 18 Abstract......Page 19 2.2.1 Estimating the Number of Patients to Cater For......Page 21 2.2.2 Demand Associated with Known Level of Patient Numbers......Page 22 2.3.1 Preamble......Page 25 Materials Planning......Page 26 Offline Operational Level......Page 27 12.3.3 Framework for Healthcare Planning and Control......Page 29 10.4.3 Delivery Strategies for the Blood Product Supplies......Page 30 12.4...Application of the Framework......Page 31 9.2.4 Networks of Queues with General Arrival and/or Service Processes......Page 32 11.6.2 Work Measurement......Page 33 Lack of Coherence Between Planning Functions......Page 34 10.5.3 Automatic Identification and Data Capture......Page 35 5.7.2 General Results......Page 37 References......Page 38 3.1...Introduction......Page 39 3.2.1 Nurse Scheduling Problem in a General Clinic......Page 41 3.2.3 Problem Statement......Page 44 Decision Variables......Page 45 Solution Method......Page 46 Cost as an Objective Function......Page 47 Solution Method......Page 53 10.6...Future Directions......Page 54 12.5...Conclusions......Page 56 12.6...Outlook......Page 57 9.3.2 Applications of General Networks......Page 60 9.3.3 Example I: Distribution of Patient Classes over Nursing Wards......Page 61 Decision Variables......Page 62 9.4...Challenges and Directions for Future Research......Page 63 Solution Method......Page 64 Decison variables......Page 65 3.3.2.0 Constraints......Page 66 Solution Method......Page 69 3.5...Future Directions......Page 70 References......Page 71 Abstract......Page 73 4.1.1 The Clinic Profile Setup Problem......Page 76 4.1.2 The Appointment Booking Problem......Page 77 4.3.1 Clinic Capacity......Page 82 4.3.6 Patient Preferences......Page 106 Acknowledgments......Page 109 References......Page 110 Abstract......Page 113 5.2.1 Strategic Planning and Control......Page 115 5.3.1 General Model......Page 116 5.3.2 General Results......Page 118 5.4.1 General Problem Formulation......Page 120 5.4.2 General Results......Page 121 5.5.2 General Results......Page 123 5.6.1 General Problem Description......Page 126 5.6.3 Discussion......Page 131 5.7.1 General Problem Description......Page 133 5.7.3 Discussion......Page 136 References......Page 137 Abstract......Page 139 6.3.1 Long-Term Planning......Page 145 Example: Optimal Allocation of Procedure Rooms......Page 148 6.3.2 Short-Term Scheduling......Page 150 Example: Appointment Scheduling in an OPC......Page 153 6.4.1 Intake and Recovery......Page 154 6.4.4 Patient Characteristics and Behavior......Page 158 References......Page 160 Abstract......Page 163 7.2.1 Surgical Case Scheduling......Page 164 7.2.4 Formal Problem Definition......Page 168 7.4.1 About the Operating Room Coordinator......Page 170 7.4.3 Analyzing Differences Between Risk Attitude Groups......Page 171 Simulation Model......Page 174 Data and Parameter Settings......Page 177 7.4.5 Simulation Results......Page 178 References......Page 181 Abstract......Page 184 8.2.1 Classification of Bed Types......Page 187 Maximizing Throughput......Page 190 Examples of Hospital Data......Page 195 Example of Variations by Time of Day......Page 198 Example of Variations by Day of Week......Page 199 8.2.4 Bottlenecks......Page 200 8.3.1 Capacity and Occupancy Management......Page 201 8.3.3 Hospital Discharge......Page 203 References......Page 205 Abstract......Page 208 9.1.1 Some General Queuing Concepts......Page 209 9.1.2 Queuing Networks in Healthcare......Page 212 9.2.1 The Poisson Process......Page 213 9.2.2.1 The M/M/1 Queue......Page 214 9.2.2.6 Miscellaneous Queuing Results......Page 222 9.2.3.1 Tandem Networks......Page 224 9.2.3.3 Closed Jackson Networks......Page 226 9.2.4.1 Networks with Fixed Routing......Page 229 9.2.4.4 The Queuing Network Analyzer......Page 232 9.2.5 State of the Art in Networks of Queues......Page 234 9.3.1 Applications of Exponential Networks......Page 235 9.3.1.1 Facility Location and Bed-Blocking Problems......Page 236 9.3.1.3 Clinical Capacity Problem......Page 237 9.3.3.1 The Problem......Page 238 9.3.3.2 The Model......Page 239 9.3.4.1 The Problem......Page 241 9.3.4.3 Detailed Description of the Decomposition Method......Page 243 9.4.2 Healthcare Challenges......Page 247 References......Page 248 Abstract......Page 251 10.2.1 Healthcare Provider Supply Chains......Page 258 10.3.1 Overview of Inventory Modeling......Page 261 Multi-Item Single Location Inventory Applications......Page 264 Demand Management and Forecasting......Page 268 10.4.1 The Blood Supply Chain Management Problem......Page 274 10.4.5 Ongoing Research Opportunities......Page 277 10.5.1 Electronic Data Interchange......Page 278 10.5.4 Data Standards in Medical Supply Chain......Page 279 References......Page 283 Abstract......Page 287 11.2.1 Home Health Nurse Routing and Scheduling......Page 289 Location-Allocation Formulation of HHND......Page 292 11.2.3 Home Health Supply Chain......Page 294 11.3.1 Home Health Nurse Routing and Scheduling......Page 297 11.3.3 Home Health Supply Chain......Page 300 11.5.1 Home Health Nurse Routing and Scheduling......Page 302 11.5.2 Home Health Nurse Districting......Page 303 11.6.1 Logistics Planning Problems......Page 304 References......Page 306 Abstract......Page 309 12.3.1 Managerial Areas......Page 313 Financial Planning......Page 314 Strategic Level......Page 315 Tactical Level......Page 316 12.3.4 Context of the Framework......Page 317 Deficient or Absent Planning Functions......Page 319 Introduction......Page 321 Application of the Framework......Page 322 References......Page 325 About the Authors......Page 327 Index......Page 334 Annotation This edited title collates and communicates the latest thinking on how to improve healthcare by improving the delivery of services, thus providing care when and where it is needed most