Buch, Englisch, 480 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 833 g
Theoretical Minimum for Conducting 21st Century Research on Healthcare Operations
Buch, Englisch, 480 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 833 g
ISBN: 978-1-119-30094-6
Verlag: Wiley
How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century?
Editors Tinglong Dai and Sridhar Tayur, aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field. The Handbook covers a wide range of macro-, meso- and micro-level thrusts—such as market design, competing interests, global health, personalized medicine, residential care and concierge medicine, among others—and structures what has been a highly fragmented research area into a coherent scientific discipline.
The handbook also provides an easy-to-comprehend introduction to five essential research tools—Markov decision process, game theory and information economics, queueing games, econometric methods, and data science—by illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts.
The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook:
- Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspective—a shift in gaze away from narrow, local and one-off operational improvement efforts that do not replicate, scale or remain sustainable—can lead to new knowledge and innovative solutions that healthcare has been seeking so desperately.
- Facilitates collaboration between healthcare experts and analytics scholar to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose.
The handbook is designed to be accessible to the independent reader, and it may be used in a variety of settings, from a short lecture series on specific topics to a semester-long course.
Autoren/Hrsg.
Weitere Infos & Material
List of Contributors xvii
Preface xix
Glossary of Terms xxvii
Acknowledgments xxxv
Part I Thrusts Macro-level Thrusts (MaTs)
1 Organizational Structure 1
Jay Levine
1.1 Introduction to the Healthcare Industry 2
1.2 Academic Medical Centers 6
1.3 Community Hospitals and Physicians 16
1.4 Conclusion 19
2 Access to Healthcare 21
Donald R. Fischer
2.1 Introduction 21
2.2 Goals 27
2.3 Opportunity for Action 29
3 Market Design 31
Itai Ashlagi
3.1 Introduction 31
3.2 Matching Doctors to Residency Programs 31
3.2.1 Early Days 31
3.2.2 A Centralized Market and New Challenges 32
3.2.3 Puzzles and Theory 33
3.3 Kidney Exchange 35
3.3.1 Background 35
3.3.2 Creating a Thick Marketplace for Kidney Exchange 36
3.3.3 Dynamic Matching 38
3.3.4 The Marketplace for Kidney Exchange in the United States 41
3.3.5 Final Comments on Kidney Exchange 43
References 44
Meso-level Thrusts (MeTs)
4 Competing Interests 51
Joel Goh
4.1 Introduction 51
4.2 The Literature on Competing Interests 53
4.2.1 Evaluation of Pharmaceutical Products 53
4.2.1.1 Individual Drug Classes 54
4.2.1.2 Multiple Interventions 55
4.2.1.3 Review Articles 56
4.2.2 Physician Ownership 56
4.2.2.1 Physician Ownership of Ancillary Services 57
4.2.2.2 Physician Ownership of Ambulatory Surgery Centers 59
4.2.2.3 Physician Ownership of Speciality Hospitals 60
4.2.2.4 Physician-Owned Distributors 61
4.2.3 Medical Reporting 62
4.2.3.1 DRG Upcoding 63
4.2.3.2 Non-DRG Upcoding 64
4.3 Examples 65
4.3.1 Example 1: Physician Decisions with Competing Interests 66
4.3.2 Example 2: Evidence of HAI Upcoding 70
4.4 Summary and FutureWork 72
References 73
5 Quality of Care 79
Hummy Song and Senthil Veeraraghavan
5.1 Frameworks for Measuring Healthcare Quality 79
5.1.1 The Donabedian Model 79
5.1.2 The AHRQ Framework 81
5.2 Understanding Healthcare Quality: Classification of the Existing
OR/MS Literature 82
5.2.1 Structure 82
5.2.2 Process 85
5.2.3 Outcome 91
5.2.4 Patient Experience 92
5.2.5 Access 94
5.3 Open Areas for Future Research 95
5.3.1 Understanding Structures and Their Interactions with Processes and Outcomes 95
5.3.2 Understanding Patient Experiences and Their Interactions with Structure 96
5.3.3 Understanding Processes andTheir Interactions with Outcomes 97
5.3.4 Understanding Access to Care 98
5.4 Conclusions 98
Acknowledgments 99
References 99
6 Personalized Medicine 109
Turgay Ayer and Qiushi Chen
6.1 Introduction 109
6.2 Sequential Decision Disease Models with Health Information Updates 111
6.2.1 Case Study: POMDP Model for Personalized Breast Cancer Screening 113
6.2.2 Case Study: Kalman Filter for Glaucoma Monitoring 116
6.2.3 Other Relevant Studies 118
6.3 One-Time Decision Disease Models with Risk Stratification 120
6.3.1 Case Study: Subtype-Based Treatment for DLBCL 121
6.3.2 Other Applications 124
6.4 Artificial Intelligence-Based Approaches 125
6.4.1 Learning from Existing Health Data 126
6.4.2 Learning from Trial and Error 127
6.5 Conclusions and Emerging Future Research Directions 128
References 130
7 Global Health 137
Karthik V. Natarajan and Jayashankar M. Swaminathan
7.1 Introduction 137
7.2 Funding Allocation in Global Health Settings 139
7.2.1 Funding Allocation for Disease Prevention 139
7.2.2 Funding Allocation for Treatment of Disease Conditions 143
7.2.2.1 Service Settings 143
7.2.2.2 Product Settings 146
7.3 Inventory Allocation in Global Hea
