Health Care Systems Engineering for Scientists and Practitioners HCSE Lyon France May 2015 1st Edition by Andrea Matta, Evren Sahin, Jingshan Li, Alain Guinet, Nico Vandaele 3319351322 9783319351322

Health Care Systems Engineering for Scientists and Practitioners HCSE Lyon France May 2015 1st Edition by Andrea Matta, Evren Sahin, Jingshan Li, Alain Guinet, Nico J. Vandaele – Ebook PDF Instant Download/DeliveryISBN: 3319351322, 9783319351322

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ISBN-10 :  3319351322 

ISBN-13 : 9783319351322

Author:  Andrea Matta, Evren Sahin, Jingshan Li, Alain Guinet, Nico J. Vandaele 

In this volume, scientists and practitioners write about new methods and technologies for improving the operation of health care organizations.  Statistical analyses play an important role in these methods with the implications of simulation and modeling applied to the future of health care.  Papers are based on work presented at the Second International Conference on Health Care Systems Engineering (HCSE2015) in Lyon, France.  The conference was a rare opportunity for scientists and practitioners to share work directly with each other.  Each resulting paper received a double blind review.  Paper topics include: hospital drug logistics, emergency care, simulation in patient care, and models for home care services. 

Health Care Systems Engineering for Scientists and Practitioners HCSE Lyon France May 2015 1st Table of contents:

1. Systems Approach for Preventing Falls in Hospitals and Nursing Homes Using Sensing Devices Surroundi
2. Introduction
3. Objectives
4. Detection and Prediction of Dangerous Motions on and Around a Bed
5. Fall Prevention: Viewpoints of Care-Givers and Care-Receivers
6. Process Modeling of Care-Givers to Care-Receivers
7. Conclusion
8. References
9. A Multi-objective Patient Admission Planning Improving Resources Utilisation Under Bed Capacity Cons
10. Introduction
11. Previous Works
12. Model
13. Notation
14. Decision Variables
15. Model
16. Multi-objective Procedure
17. Experiment
18. Data
19. Results
20. Smoothing the Resource Demands: Minimizing Z1
21. Minimizing the Penalty Cost Z2
22. Multi-objective Optimization
23. Conclusion
24. References
25. Multi-criteria Decision Making Approaches to Prioritize Surgical Patients
26. Introduction
27. Choosing Criteria for Surgical Patients’ Prioritization
28. Models for Prioritization of Patients
29. Prioritization Model Using Analytic Hierarchy Process (AHP)
30. Prioritization Model Using Analytic Network Process (ANP)
31. Numerical Application
32. Discussion and Future Work
33. References
34. Bed Managers: The Patient’s Personal Assistant
35. Introduction
36. General Presentation of the St Luc St Joseph Hospital
37. What the Hospital Offers in Terms of Care
38. The Emergency Department (ED)
39. The Emergency Ward Team
40. The Organization of Emergency Patient Admittance
41. Inter Hospital Admittance
42. Admittance to Different Hospitals
43. Bed Managing: Or How to Coordinate the Patient Influx and Optimize Care
44. Within the Hospital in General: The Central Reservation Team
45. Within the Emergency Department: The Bed Managers
46. The Bed Managers
47. Job Profile
48. Tools
49. Key Points
50. Bed Manager: A Few Minor Setbacks
51. Conclusion
52. References
53. An Optimization Model for Sequence Dependent Parallel Operating Room Scheduling
54. Introduction
55. Overlapping Surgical Activities
56. Optimization Model
57. Computational Experiment
58. Concluding Remarks
59. References
60. A Mean-Field Analysis for the Two-Tiered Healthcare Network Through Nonlinear Markov Processes
61. Introduction
62. Model Description
63. Mean-Field Analysis
64. The Mean-Filed Scale Equations
65. The Mean-Filed Block-Structured Equations
66. Performance Analysis
67. Limiting Distribution of the Nonlinear Markov Process
68. Performance Computation
69. Conclusion
70. References
71. Scheduling Magnetic Resonance Imaging Examinations: An Empirical Analysis
72. Introduction
73. Literature Review
74. Problem Addressed
75. Simulation Model and Implemented Heuristics
76. Empirical Results
77. Base Scenario (CT==0, RC==0, PA==0), Longitudinal Analysis
78. Factorial Analysis
79. Conclusion
80. References
81. A Managerial Use of the Volume-Outcome Association for Hospital Planning
82. Introduction
83. Problem Description
84. Mortality vs. Mortality Rate
85. Case Study
86. Conclusions
87. References
88. A Discrete Event Simulation Model for the Admission of Patients to a Home Care Rehabilitation Servic
89. Introduction
90. Literature Review
91. Problem Description
92. Discrete Event Simulation Model
93. Application to a Real Case and Results
94. Discussion and Conclusions
95. References
96. Ambulance Location Problem with Stochastic Call Arrivals Under Nearest Available Dispatching Policy
97. Introduction
98. Problem Formulations and Scenario Decomposition Implementation
99. Scenario Decomposition for Stochastic Programming
100. Modeling for the Ambulance Location Problem Given a Single Scenario
101. Results
102. Conclusion
103. References
104. Approach to Clustering Clinical Departments
105. Introduction
106. Problem Description
107. Related Literature and Research Gap
108. Clustering Model
109. Discussion
110. References
111. Management of Blood Donation System: Literature Review and Research Perspectives
112. Introduction
113. Phases of Blood Donation System
114. Donors, Blood Collection and Screening
115. Transportation and Storage of Blood Products
116. Distribution and Utilization
117. Discussion and Open Issues
118. References
119. Staffing Ratio Analysis in Primary Care Redesign: A Simulation Approach
120. Introduction
121. Methods
122. Primary Care Patient Flow
123. Data Collection
124. Model Development
125. Results
126. Workload Allocation Between MA and MD
127. Patient Volume
128. Variability in Service Times and Patient Arrival
129. Number of Exam Rooms
130. Conclusions
131. References
132. Disease Prevention and Control Plans: State of the Art and Future Research Guideline
133. Introduction
134. Basic Background
135. Literature Classification and Analysis
136. Smallpox
137. Influenza
138. HIV
139. Anthrax
140. Discussions and Future Directions
141. Discussions
142. Future Research Directions
143. References
144. A Goal-Programming Approach to the Master Surgical Scheduling Problem
145. Introduction
146. Literature Review
147. Problem Addressed
148. Model Description
149. Numerical Experiments
150. Input Data
151. Experimental Design
152. Experimental Results
153. Conclusions and Future Research
154. References
155. How Do Missing Patients Aggravate Emergency Department Overcrowding? A Real Case and a Simulation St
156. Introduction
157. Literature Review
158. Real Case Study: Emergency Department of the Prince of Wales Hospital in Hong Kong
159. Simulation Study: Impacts of Missing Patients
160. Potential Solutions for Reducing Missing Patients
161. Conclusions
162. References
163. System Dynamics Modelling of Emergent and Elective Patient Flows
164. Introduction
165. Casual Loop Diagram
166. Modelling Framework
167. Application to a Real Case Study
168. Validation and Results
169. Conclusions
170. References
171. Markov Decision Process Model for Patient Admission Decision at an Emergency Department in Disasters
172. Introduction
173. MDP Model
174. Computational Result
175. Model Inputs
176. Policy Structure
177. Performance Test
178. Conclusion
179. References
180. Crisis Management Plan: Preventive Measures and Lessons Learned from a Major Computer System Failure
181. Introduction
182. The Event
183. Onset of the Computer System Failure
184. In Failure Mode
185. Governance
186. Impact and Consequences
187. Lessons for the Future
188. Contribution of the ACP and ARP
189. Information System Risk Analysis
190. Risk Management Approach
191. Failure Mode and Effects Analysis for Risk Measurement

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