Health care evaluation using computer simulation: Concepts, methods, and applications

Health Care Evaluation Using Computer Simulation: Concepts, Methods, and Applications

Volumn , Issue , 2012, Pages 1-406

  Sobolev, Boris ^a   Sanchez, Victor ^b   Kuramoto, Lisa ^c  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c VANCOUVER COASTAL HEALTH RESEARCH INSTITUTE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; DISCRETE EVENT SIMULATION; HEALTH CARE; OPERATIONS RESEARCH;

DESIGN AND ANALYSIS; DISCRETE EVENT MODELS; HEALTH CARE POLICIES; HEALTH CARE REFORMS; HEALTH SERVICES RESEARCH; INTERVENTION RESEARCH; MANAGERIAL ACTIVITY; SIMULATION STUDIES;

MEDICAL COMPUTING;

EID: 84955675555     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4614-2233-4     Document Type: Book

References (163)

1. L. Aharonson-Daniel, R. J. Paul, and A. J. Hedley. Management of queues in out-patient departments: The use of computer simulation. Journal of Health Organization and Management, 10(6):50-58, 1996.
2. P. Allison. Logistic regression using the SAS system theory and application. SAS Institute, Cary, NC, 1999.
3. P. D. Allison. Discrete-time methods for the analysis of event histories. Sociological Methodology, Jossey-Bass, San Francisco, CA, pages 61-98, 1982.
4. I. K. Altinel and E. Usla. Simulation modeling for emergency bed requirement planning. Annals of Operations Research, 67(1):183-210, 1996.
5. J. Appleby, S. Boyle, N. Devlin, M. Harley, A. Harrison, L. Locock, and R. Thorlby. Sustaining reductions in waiting times: Identifying successful strategies. Technical report, King’s Fund, 2005.
6. A. C. Atkinson and A. N. Donev. Optimum experimental designs, chapter Criteria of optimality, pages 106-115. Oxford Science Publications, Oxford, 1992.
7. A. Bagust, M. Place, and J. W. Posnett. Dynamics of bed use in accommodating emergency admissions: Stochastic simulation model. British Medical Journal, 319(7203):155-158, 1999.
8. N. T. J. Bailey. A study of queues and appointment systems in hospital out-patient departments, with special reference to waiting-times. Journal of the Royal Statistical Society, 14(2): 185-199, 1952.
9. J. Banks. Discrete-event system simulation. Prentice Hall, 3rd edition, Upper Saddle River, NJ, 2001.
10. S. Barnoon and H. Wolfe. Scheduling a multiple operating room system: A simulation approach. Health Services Research, 3(4):272-285, 1968.
11. R. R. Barton. Designing simulation experiments. In Proceedings of the 33nd conference on Winter simulation, pages 47-52. IEEE Computer Society, 2001.
12. J. R. Beck and S. G. Pauker. The Markov process in medical prognosis. Medical Decision Making, 3(4):419-458, 1983.
13. C. Begg, M. Cho, S. Eastwood, R. Horton, D. Moher, I. Olkin, R. Pitkin, D. Rennie, K. F. Schulz, D. Simel, and D. F. Stroup. Improving the quality of reporting of randomized controlled trials. The CONSORT statement. The Journal of the American Medical Association, 276(8):637-639, 1996.
14. J. C. Benneyan. An introduction to using computer simulation in healthcare: Patient wait case study. Journal of the Society for Health Systems, 5(3):1-15, 1997.
15. G. Bertolini, C. Rossi, L. Brazzi, D. Radrizzani, G. Rossi, E. Arrighi, and B. Simini. The relationship between labour cost per patient and the size of intensive care units: A multicentre prospective study. Intensive Care Medicine, 29(12):2307-2311, 2003.
16. D. M. Berwick. The John Eisenberg Lecture: Health services research as a citizen in improvement. Health Services Research, 40(2):317-336, 2005.
17. J. Blake and M. Carter. A goal programming approach to strategic resource allocation in acute care hospitals. European Journal of Operational Research, 140:541-561, 2002.
18. J. Blake and J. Donald. Mount Sinai Hospital uses integer programming to allocate operating room time. Interfaces, 32(3):63-73, 2002.
19. J. T. Blake and M. W. Carter. Surgical process management: A conceptual framework. Surgical Services Management, 3(9):31-37, 1997.
20. J. T. Blake and M. W. Carter. Surgical process scheduling: A structured review. Journal ofthe Society for Health Systems, 5(3):17-30, 1997.
21. M. Blanc-Jouvan, A. Mercatello, D. Long, M. P. Benoit, M. Khadraoui, C. Nemoz, M. Gaydarova, J. P. Boissel, and J. F. Moskovtchenko. The value of anesthesia consultation in relation to the single preanesthetic visit. Annales Franaises d’Anesthsie et de Ranimation, 18(8):843-847, 1999.
22. J. M. Bland and D. G. Altman. One and two sided tests of significance. British Medical Journal, 309:248, 1994.
23. J. M. Bland and D. G. Altman. The logrank test. British Medical Journal, 328(7447):1073, 2004.
24. E. Bonabeau. Agent-based modeling: Methods and techniques for simulating human systems. Proceeding of the National Academy of Sciences of the U.S.A, 99(3):7280-7287, 2002.
25. D. M. Bond. Pre-anesthetic assessment clinics in ontario. Canadian Journal of anaesthesia, 46(4):382-387, 1999.
26. G. Booch. Object-oriented analysis and design with applications. Benjamin/Cummings Pub. Co, 2nd edition, 1994.
27. G. Booch, I. Jacobson, and J. Rumbaugh. The Unified Modeling Language user guide. Addison-Wesley, 2nd edition, Upper Saddle River, NJ, 2005.
28. G. E. P. Box, W. G. Hunter, and J. S. Hunter. Statistics for experimenters. Wiley-Interscience, New York, 1978.
29. C. C. Bozarth and R. B. Handfield. Introduction to operations and supply chain management. Pearson Prentice Hall, Upper Saddle River, NJ, 2005.
30. M. Brahimi and D. Worthington. Queuing models for out-patient appointment systems - a case study. Journal of Operational Research Society, 42(9):733-746, 1991.
31. S. C. Brailsford, V. A. Lattimer, P. Tarnaras, and J. C. Turnbull. Emergency and on-demand health care: Modelling a large complex system. Journal of the Operational Research Society, 55(1):34-42, 2004.
32. A. Burton, D. G. Altman, P. Royston, and R. L. Holder. The design of simulation studies in medical statistics. Statistics in Medicine, 25(24):4279-4292, 2006.
33. M. K. Campbell, D. R. Elbourne, and D. G. Altman. CONSORT statement: Extension to cluster randomised trials. British Medical Journal, 328(7441):702-708, 2004.
34. J. Caro, S. Guo, A. Ward, S. Chalil, F. Malik, and F. Leyva. Modelling the economic and health consequences of cardiac resynchronization therapy in the UK. Current Medical Research and Opinion, 22(6):1171-1179, 2006.
35. W. G. Cochran. Sampling techniques. Wiley, 3rd edition, New York, 1977.
36. L. H. Cohn and L. H. Edmunds. Cardiac Surgery in the Adult. McGraw-Hill, New York, 2003.
37. T. Colton. Statistics in medicine. Little Brown and Company, Boston, 1974.
38. A. X. Costa, S. A. Ridley, A. K. Shahani, P. R. Harper, V. De Senna, and M. S. Nielsen. Mathematical modelling and simulation for planning critical care capacity. Anaesthesia, 58 (4):320-327, 2003.
39. K. M. Cottrell. Waiting lists: Some problems of definition and a relative measure of waiting time. Hospital and Health Services Review, 76:265-269, 1980.
40. Medical Research Council. A framework for the development and evaluation of RCTs for complex interventions to improve health. www.mrc.ac.uk/utilities/Documentrecord/index.htm?d=MRC003372, 2000.
41. D. R. Cox. Principles of statistical inference. Cambridge University Press, Cambridge, 2006.
42. J. L. Cronenwett and R. B. Rutherford. Decision making in vascular surgery. Saunders, Philadelphia, 2001.
43. R. G. Cumming, C. Sherrington, S. R. Lord, J. M. Simpson, C. Vogler, I. D. Cameron, and V. Naganathan. Cluster randomised trial of a targeted multifactorial intervention to prevent falls among older people in hospital. British Medical Journal, 336(7647):758-760, 2008.
44. B. C. Dangerfield. System dynamics applications to European health care issues. Journal of the Operational Research Society, 50:345-353, 1999.
45. H. T. Davies and R Davies. Simulating health systems: Modelling problems and software solutions. European Journal of Operational Research, 87:35-44, 1995.
46. R. Davies. An assessment of models of a health system. Journal of the Operational Research Society, 36(8):679-687, 1985.
47. F. Dexter and R. D. Traub. How to schedule elective surgical cases into specific operating rooms to maximize the efficiency of use of operating room time. Anesthesia and Analgesia, 94(4):933-942, 2002.
48. A. Donabedian. Evaluating the quality of medical care. Milbank Quarterly, 83(4):691-729, 2005.
49. A. Donner and N. Klar. Design and analysis of cluster randomization trials in health research. Arnold Publishing Co., London, 2000.
50. C. Duguay and F. Chetouane. Modeling and improving emergency department systems using discrete event simulation. Simulation, 83(4):311-320, 2007.
51. M. Eccles, J. Grimshaw, M. Campbell, and C. Ramsay. Research designs for studies evaluating the effectiveness of change and improvement strategies. Quality and Safety in Health Care, 12(1):47-52, 2003.
52. R. H. Edwards, J. Clague, M. Barlow, P. Clarke, and R. Rada. Operations research survey and computer simulation of waiting times in two medical outpatient clinic structures. Health care analysis, 2(2):164-169, 1994.
53. E. G. Estrada. Triage systems. The Nursing Clinics of North America, 16(1):13-24, 1981.
54. J. E. Everett. A decision support simulation model for the management of an elective surgery waiting system. Health Care Management Science, 5(2):89-95, 2002.
55. V. V. Fedorov. Theory of optimal experiments. Academic Press, 12th edition, New York, 1972.
56. A. Figueiras, M. T. Herdeiro, J. Polonia, and J. J. Gestal-Otero. An educational intervention to improve physician reporting of adverse drug reactions: A cluster-randomized controlled trial. Journal of the American Medical Association, 296(9):1086-1093, 2006.
57. G. S. Fishman. Discrete-event simulation modeling, programming, and analysis. Springer, New York, 2001.
58. J. L. Fleiss. Statistical methods for rates and proportions. Wiley, New York, 1973.
59. J. L. Fleiss. The design and analysis of clinical experiments. Wiley, New York, 1986.
60. D. Fone, S. Hollinghurst, M. Temple, A. Round, N. Lester, A. Weightman, K. Roberts, E. Coyle, G. Bevan, and S. Palmer. Systematic review of the use and value of computer simulation modelling in population health and health care delivery. Journal ofPublic Health, 25(4):325-335, 2003.
61. J. W. Forrester. Industrial dynamics. M.I.T. Press, Cambridge, MA, 1961.
62. R. J. Glynn, M. A. Brookhart, M. Stedman, J. Avorn, and D. H. Solomon. Design of cluster-randomized trials of quality improvement interventions aimed at medical care providers. Medical Care, 45(10):S38-S43, 2007.
63. D. H. Goldstein, E. G. VanDenKerkhof, and M. J. Rimmer. A model for real time information at the patient’s side using portable computers on an acute pain service. Canadian Journal of anaesthesia, 49(7):749-754, 2002.
64. Object Management Group. Unified modeling language 2.0: Superstructure, 2005. www.omg.org.
65. V. Guru, S. E. Fremes, and J. V. Tu. Time-related mortality for women after coronary artery bypass graft surgery: A population-based study. Journal of Thoracic and Cardiovascular Surgery, 127(4):1158-1165, 2004.
66. C. Ham, R. Kipping, and H. McLeod. Redesigning work processes in health care: Lessons from the national health service. The Milbank Quarterly, 81(3):415-439, 2003.
67. D. M. Hamilton and S. Breslawski. Operating room scheduling. Factors to consider. Association of Operating Room Nurses Journal, 59(3):665-680, 1994.
68. C. Haraden and R. Resar. Patient flow in hospitals: Understanding and controlling it better. Frontiers of Health Services Management, 20(4):3-15, 2004.
69. D. Harel. Statecharts: A visual formalism for complex systems. Science of Computer Programming, 8:231-274, 1987.
70. D. Harel and A. Pnueli. Logics and Models of Concurrent Systems, chapter On the Development of Reactive Systems, pages 477-498. Springer-Verlag, New York, 1985.
71. D Harel and M. Politi. Modeling Reactive Systems with Statecharts: The STATEMATE Approach. McGraw-Hill, New York, 1998.
72. P. R. Harper and H. M. Gamlin. Reduced outpatient waiting times with improved appointment scheduling: A simulation modelling approach. OR Spectrum, 25(2):207-222, 2003.
73. F. E. Harrel, K. L. Lee, D. B. Matchar, and T. A. Reichert. Regression models for prognostic prediction: Advantages, problems and suggested solutions. Cancer Treatment Reports, 69: 1071-1077, 1985.
74. R. J. Hayes and S. Bennett. Simple sample size calculation for cluster-randomized trials. International Journal of Epidemiology, 28:319-326, 1999.
75. J. J. Heckman. The scientific model of causality. Sociological Methodology, 35(1):1-97, 2005.
76. J. B. Homer and G. B. Hirsch. System dynamics modeling for public health: Background and opportunities. American Journal of Public Health, 96(3):452-458, 2006.
77. Hosmer, D. W. and S. Lemeshow. Applied logistic regression. John Wiley and Sons, New York, 1989.
78. E. S. Huang, Q. Zhang, S. E. Brown, M. L. Drum, D. O. Meltzer, and M. H. Chin. The cost-effectiveness of improving diabetes care in U.S. federally qualified community health centers. Health Services Research, 42(6 Pt 1):2174-2193, 2007.
79. G. lapichino, L. Gattinoni, D. Radrizzani, B. Simini, G. Bertolini, L. Ferla, G. Mistraletti, F. Porta, and D. R. Miranda. Volume of activity and occupancy rate in intensive care units. Association with mortality. Intensive Care Medicine, 30(2):290-297, 2004.
80. I. Jacobson. Object-oriented software engineering—A use case driven approach. ACM Press, New York, 1992.
81. S. H. Jacobson, S. H. Hall, and Swisher J.R. Patient flow: Reducing delay in healthcare delivery, chapter Discrete-event simulation of health care systems, pages 211-252. Springer US, 2006.
82. G. T. Jun, J. Ward, Z. Morris, and J. Clarkson. Health care process modelling: Which method when? International Journal for Quality in Health Care, 21(3):214-224, 2009.
83. G. T. Jun, J. Ward, and P. J. Clarkson. Systems modelling approaches to the design of safe healthcare delivery: Ease of use and usefulness perceived by healthcare workers. Ergonomics, 53(7):829-847, 2010.
84. J. B. Jun, S. H. Jacobson, and J. R. Swisher. Application of discrete-event simulation in health care clinics: A survey. Journal of the Operational Research Society, 50(2):109-123, 1999.
85. S. J. Katz, H. F. Mizgala, and H. G. Welch. British Columbia sends patients to Seattle for coronary artery surgery. Bypassing the queue in Canada. Journal of the American Medical Association, 266(8):1108-1111, 1991.
86. B. Keogh and R. Kinsman. Fifth national adult cardiac surgical database report 2003: Improving outcomes for patients. Technical report, Dendrite Clinical Systems, 2004.
87. B. Kirwan and L. K. Ainsworth. A Guide to task analysis. Taylor and Francis, London, 1992.
88. K. J. Klassen and T. R. Rohleder. Scheduling outpatient appointments in a dynamic environment. Journal of Operations Management, 14(2):83-101, 1996.
89. L. Kuramoto, B. G. Sobolev, and M. G. Donaldson. On reporting results from randomized controlled trials with recurrent events. BMC Medica Research Methodology, 8:35, 2008.
90. M. Lamiri, X. Xiea, A. Dolguia, and F. Grimaud. A stochastic model for operating room planning with elective emergency demand for surgery. European Journal of Operational Research, 185(3):1026-1037, 2008.
91. T. A. Lang and M. Secic. How to report statistics in medicine annotated guidelines for authors, editors, and reviewers. American College of Physicians, 2nd edition, Philadelphia, 2006.
92. A. M. Law. Simulation modeling and analysis. Tata McGraw-Hill, 4th edition, New York, 2007.
93. A. Levy, B. Sobolev, R. Hayden, M. Kiely, M. FitzGerald, and M. Schechter. Time on wait lists for coronary bypass surgery in british columbia, canada, 1991 - 2000. BMC Health Services Research, 5(1):1-10, 2005.
94. K. Y. Liang and S. L. Zeger. Longitudinal data analysis using generalized linear models. Biometrika, 73(1):13-22, 1986.
95. S. R. Lipsitz, N. M. Laird, and D. P. Harrington. Generalized estimating equations for correlated binary data—Using the odds ratio as a measure of association. Biometrika, 78 (1):153-160, 1991.
96. C. M. Macal and M. J. North. Tutorial on agent-based modelling and simulation. Journal of Simulation, 4:151-162, 2010.
97. J. M. Magerlein and J. B. Martin. Surgical demand scheduling: A review. Health Services Research, 13(4):418-433, 1978.
98. A. R. Mahachek. An introduction to patient flow simulation for health care managers. Journal of the Society for Health Systems, 3(3):73-81, 1992.
99. G. Maldonado and S. Greenland. Estimating causal effects. International Journal of Epidemiology, 31(2):422-429, 2002.
100. Mathworks. Stateflow. Computer Program, 2007. Version 7.
101. P Matthey, B. T. Finucane, and B. A. Finegan. The attitude of the general public towards preoperative assessment and risks associated with general anesthesia. Canadian Journal of anaesthesia, 48(4):333-339, 2001.
102. C. McIntosh, F. Dexter, and R. H. Epstein. The impact of service-specific staffing, case scheduling, turnovers, and first-case starts on anesthesia group and operating room productivity: A tutorial using data from an Australian hospital. Anesthesia and Analgesia, 103(6): 1499-1516, 2006.
103. H. McLeod, C. Ham, and R. Kipping. Booking patients for hospital admissions: Evaluation of a pilot programme for day cases. British Medical Journal, 327(7424):1147, 2003.
104. N. Melao and M. Pidd. A conceptual framework for understanding business processes and business process modelling. Information Systems Journal, 10(2):105-129, 2000.
105. C. Menzel and R. J. Mayer. Handbook on architectures of information aystems, chapter The IDEF family of languages, pages 215-249. Springer, New York, 2006.
106. P. Meredith, C. Ham, and R. Kipping. Modernising the NHS: Booking patients for hospital care: A progress report. Technical report, University of Birmingham, 1999.
107. G. Moens, K. Johannik, T. Dohogne, and G. Vandepoele. The effectiveness of teaching appropriate lifting and transfer techniques to nursing students: Results after two years of foUow-up. Archives of Public Health, 60(2):115-123, 2002.
108. D. Moher, K. F. Schulz, D. Altman, and CONSORT Group. The CONSORT statement: Revised recommendations for improving the quality of reports of parallel-group randomized trials. Journal of the American Medical Association, 285(15):1987-1991, 2001.
109. D. Moher, S. Hopewell, K. F. Schulz, V. Montori, P. C. Gotzsche, P. J. Devereaux, D. El-bourne, M. Egger, and D. G. Altman. CONSORT 2010 Explanation and Elaboration: Updated guidelines for reporting parallel group randomised trials. Journal of Clinical Epidemiology, 63(8):e1-37, 2010.
110. S. Z. Mordiffi, S. P. Tan, and M. K. Wong. Information provided to surgical patients versus information needed. Association of Operating Room Nurses Journal, 77(3):546-552, 2003.
111. S. L. Morgan and C. Winship. Counterfactuals and causal inference: Methods and principles for social research. Cambridge University Press, Cambridge, UK, 2007.
112. N. Motomura, H. Miyata, H. Tsukihara, M. Okada, and S. Takamoto. First report on 30-day and operative mortality in risk model of isolated coronary artery bypass grafting in japan. Annals of Thoracic Surgery, 86(6):1866-1872, 2008.
113. T. Murata. Petri nets: Properties, analysis and applications. Proceedings of the IEEE, 77(4): 541-580, 1989.
114. M. Murray and D. M. Berwick. Advanced access: Reducing waiting and delays in primary care. Journal of the American Medical Association, 289(8):1035-1040, 2003.
115. M. Murray, T. Bodenheimer, D. Rittenhouse, and K. Grumbach. Improving timely access to primary care: casC studies of the advanced access model. Journal of the American Medical Association, 289(8):1042-1046, 2003.
116. N. Mustafee, K Katsaliaki, and S. J. E. Taylor. Profiling literature in healthcare simulation. Simulation, 86(8):543-558, 2010.
117. R. Nance. Management science, chapter On time flow mechanisms for discrete system simulation, pages 59-73. Informs, Hanover, MD, 1971.
118. G. T. O’Connor, S. K. Plume, E. M. Olmstead, L. H. Coffin, J. R. Morton, C. T. Maloney, E. R. Nowicki, D. G. Levy, J. F. Tryzelaar, F. Hernandez, Multivariate prediction of in-hospital mortality associated with coronary artery bypass graft surgery. Northern New England Cardiovascular Disease Study Group. Circulation, 85(6):2110-2118, 1992.
119. Institute of Medicine. Committee on Quality of Health Care. To err is human: Building a safer health system. National Academies Press, Washington, D.C., 2000.
120. A. O’Hagan, M. Stevenson, and J. Madan. Monte Carlo probabilistic sensitivity analysis for patient level simulation models: Efficient estimation of mean and variance using ANOVA. Health Economics, 16(10):1009-1023, 2007.
121. J. Papaceit, M. Olona, C. Ramon, R. Garcia-Aguado, R. Rodriguez, and M. Rull. National survey of preoperative management and patient selection in ambulatory surgery centers. Gaceta Sanitaria, 17(5):384-392, 2003.
122. J. Pearl. Causality: Models, reasoning, and inference. Cambridge University Press, Cambridge, UK, 2000.
123. C. O. Phillips, S. M. Wright, D. E. Kern, R. M. Singa, S. Shepperd, and H. R. Rubin. Comprehensive discharge planning with postdischarge support for older patients with congestive heart failure: A meta-analysis. Journal of the American Medical Association, 291(11):1358-1367, 2004.
124. M. Pidd. Tools for thinking: Modelling in management science. Wiley, 2nd edition, London, 2003.
125. M. Ramchandani, S. Mirza, A. Sharma, and G. Kirkby. Pooled cataract waiting lists: Views of hospital consultants, general practitioners and patients. Journal of the Royal Society of Medicinae, 95(12):598-600, 2002.
126. D. Rickles. Causality in complex interventions. Medicine, Health Care and Philosophy, 12 (1):77-90, 2009.
127. B. Rosner. Fundamentals of biostatistics. Duxbury, 5th edition, Pacific Grove, CA, 1999.
128. R. Y. Rubinstein. Simulation and the Monte Carlo method. Wiley, New York, 1981.
129. J. Rumbaugh. Object-oriented modeling and design. Prentice Hall, Englewood Cliffs, NJ, 1991.
130. M. Samek. Practical UML statecharts in C/C++: Event-driven programming for embedded systems. Elsevier/Newnes, 2nd edition, San Francisco, CA, 2009.
131. H. H. Schmitz and N. K. Kwak. Monte Carlo Simulation of operating-room and recovery-room usage. Operations Research, 20(6):1171-1180, 1972.
132. K. F. Schulz, D. G. Altman, D. Moher, and the CONSORT Group. CONSORT 2010 statement: Updated guidelines for reporting parallel group randomised trials. British Medical Journal, 340:332, 2010.
133. S. Schwarz. ASTERIKS - a management game for hospitals. Journal of the Society for Health Systems, 3(3):5-14, 1992.
134. W. Shearer, J. Monagle, and M. Michaels. A model of community based, preadmission management for elective surgical patients. Canadian Journal of anaesthesia, 44(12):1311-1314, 1997.
135. W. Shen and D. H. Norrie. Agent-based systems for intelligent manufacturing: A state-of-the-art survey. Knowledge and Information Systems, 1(2):129-156, 1999.
136. J. H. Silber and S. V. Williams. Hospital and patient characteristics associated with death after surgery—A study of adverse occurrence and failure to rescue. Medical Care, 30(7):615-629, 1992.
137. G. W. Snedecor and W. G. Cochran. Statistical methods. Iowa State University Press, 6th edition, Ames, lA, 1967.
138. B. Sobolev and L. Kuramoto. Policy analysis using patient flow simulations: Conceptual framework and study design. Clinical and Investigative Medicine, 28(6):359-363, 2005.
139. B. Sobolev and L. Kuramoto. Analysis of waiting-time data in health services research. Springer, New York, 2008.
140. B. Sobolev and L. Kuramoto. Cluster-randomized design for simulation-based evaluation of complex healthcare interventions. Journal of Simulation, 4(1):24-33, 2010.
141. B. Sobolev, P. Brown, D. Zelt, and L. Kuramoto. Waiting time in relation to wait-list size at registration: Statistical analysis of a waiting-list registry. Clinical and Investigative Medicine, 27(6):298-305, 2004.
142. B. Sobolev, A. Levy, R. Hayden, and L. Kuramoto. Does wait-list size at registration influence time to surgery? analysis of a population-based cardiac surgery registry. Health Services Research, 41:23-49, 2006.
143. B. Sobolev, D. Harel, C. Vasilakis, and A. Levy. Using the statecharts paradigm for simulation of patient flow in surgical care. Health Care Management Science, 11(1):79-86, 2008.
144. B. Sobolev, V. Sanchez, L. Kuramoto, A. R. Levy, M. Schechter, and J. M. FitzGerald. Evaluation of booking systems for elective surgery using simulation experiments. Healthcare Policy, 3(4):113-124, 2008.
145. B. Sobolev, V. Sanchez, and L. Kuramoto. Discrete event simulations, chapter Evaluation of methods for scheduling clinic appointments in surgical service: A statecharts based simulation study, pages 165-185. Sciyo, Rijeka, 2010.
146. F. A. Sonnenberg and J. R. Beck. Markov models in medical decision making: A practical guide. Medical Decision Making, 13(4):322-338, 1993.
147. J. E. Stahl, D. Rattner, R. Wiklund, J. Lester, M. Beinfeld, and G. S. Gazelle. Reorganizing the system of care surrounding laparoscopic surgery: A cost-effectiveness analysis using discrete-event simulation. Medical Decision Making, 24(5):461-471, 2004.
148. M. D. Stevenson, J. Oakley, and J. B. Chilcott. Gaussian process modeling in conjunction with individual patient simulation modeling: A case study describing the calculation of cost-effectiveness ratios for the treatment of established osteoporosis. Medical Decision Making, 24(1):89-100, 2004.
149. R. M. Tappen, J. Muzic, and P. Kennedy. Preoperative assessment and discharge planning for older adults undergoing ambulatory surgery. Association ofOperating Room Nurses Journal, 73(2):464, 467, 469, 2001.
150. K. Taylor and D. Lane. Simulation applied to health services: Opportunities for applying the system dynamics approach. Health Services Research and Policy, 3(4):226-232, 1998.
151. A. Tiwari. Formal semantics and analysis methods for simulink stateflow models. Technical report, SRI International, 2002.
152. W. M. K. Trochim and J. P. Donnelly. Research methods knowledge base. Atomic Dog Publishing, 3rd edition, Mason, OH, 2008.
153. O. C. Ukoumunne, M. C. Gulliford, S. Chinn, J. A. Sterne, P. G. Burney, and A. Donner. Methods in health service research. evaluation of health interventions at area and organisation level. British Medical Journal, 319(7206):376-379, 1999.
154. W. A. van Klei, P. J. Hennis, J. Moen, C. J. Kalkman, and K. G. Moons. The accuracy of trained nurses in pre-operative health assessment: Results of the open study. Anaesthesia, 59 (10):971-978, 2004.
155. C. Vasilakis and L. Kuramoto. Comparing two methods of scheduling outpatient clinic appointments using simulation experiments. Clinical and Investigative Medicine, 28(6):368-370, 2005.
156. C. Vasilakis, B. G. Sobolev, L. Kuramoto, and A. R. Levy. A simulation study of scheduling clinic appointments in surgical care: Individual surgeon versus pooled lists. Journal of the Operational Research Society, 58(2):202-211, 2007.
157. C. Vasilakis, D. Lecnzarowicz, and C. Lee. Application of Unified Modelling Language (UML) to the modelling of health care systems: An introduction and literature survey. International Journal of Healthcare Information Systems and Informatics, 3(4):39-52, 2008.
158. J. Vissers. Selecting a suitable appointment system in an outpatient setting. Medical Care, 17 (12):1207-1220, 1979.
159. E. Vittinghoff, D. V. Glidden, and S. C. Shiboski. Regression methods in biostatistics: Linear, logistic, survival, and repeated measures models. Springer-Verlag New York Inc., 2005.
160. M. von der Beeck. Formal techniques in real-time and fault-tolerant systems, chapter A comparison of Statecharts variants, pages 128-148. Springer, Berlin, 1994.
161. D. A. Wood, K. Kotseva, S. Connolly, C. Jennings, A. Mead, J. Jones, A. Holden, Bacquer D. De, T. Collier, Backer G. De, and O. Faergeman. Nurse-coordinated multidisciplinary, family-based cardiovascular disease prevention programme (euroaction) for patients with coronary heart disease and asymptomatic individuals at high risk of cardiovascular disease: A paired, cluster-randomised controlled trial. Lancet, 371(9629):1999-2012, 2008.
162. C. J. Wright, G. K. Chambers, and Y. Robens-Paradise. Evaluation of indications for and outcomes of elective surgery. Canadian Medical Association Journal, 167(5):461-466, 2002.
163. V. Zellermeyer. Report of the Surgical Process Analysis and Improvement Expert Panel. Ontario Ministry of Health and Long-Term Care, 2005.