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Review of modelling approaches for healthcare simulation

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The goal of this paper is to present a summary of various simulation methods applied to health services and to discuss several internal and external determinants for selecting a particular simulation method to study a given managerial problem within the healthcare system. The analysis presented is based on a literature survey and considers four primary simulation techniques: Monte Carlo, discrete -event simulation, agent-based simulation and system dynamics. A range of internal and external factors are reviewed and characterised to determine the most suitable simulation technique for addressing a particular healthcare decision problem.
Słowa kluczowe
Rocznik
Strony
55--72
Opis fizyczny
Bibliogr. 34 poz., rys.
Twórcy
  • Department of Computer Science and Management, Wrocław University of Science and Technology, ul. Łukasiewicza 5, 50-371 Wrocław, Poland
Bibliografia
  • [1] AHMAD S., BILLIMEK J., Limiting youth access to tobacco. Comparing the long-term health impacts of increasing cigarette excise taxes and raising the legal smoking age to 21 in the United States, Health Policy, 2007, 80, 378.
  • [2] AKKERMAN R., KNIP M., Reallocation of beds to reduce waiting time for cardiac surgery, Health Care Management Science, 2004, 7, 119.
  • [3] BERG B., DENTON B., NELSON H., BALASUBRAMANIAN H., RAHMAN A., BAILEY A., LINDOR K., A dis-crete event simulation model to evaluate operational performance of a colonoscopy suite, Medical Decision Making, 2010, 30, 380.
  • [4] BOWERS J., GHATTAS M., MOULD G., Success and failure in the simulation of an Accident and Emer-gency department, Journal of Simulation, 2009, 3, 171.
  • [5] BOWERS J., MOULD G., Managing uncertainty in orthopaedic trauma theatres, European Journal of Operational Research, 2004, 154, 599.
  • [6] BRAILSFORD S.C., HARPER P.R., PATEL B., PITT M., An analysis of the academic literature on simu-lation and modelling in health care, Journal of Simulation, 2009, 3, 130.
  • [7] BRAILSFORD S.C., System dynamics. What’s in it for healthcare simulation modelers, Proc. 40th Win-ter Simulation Conference, 2008, 1478.
  • [8] CABRERA E., TABOADA M., IGLESIAS M.L., EPELDE F., LUQUE E., Optimization of healthcare emer-gency departments by agent-based simulation, Procedia Computer Science, 2011, 4, 1880.
  • [9] COCHRAN J.K., BHARTI A., Stochastic bed balancing of an obstetrics hospital, Health Care Manage-ment Science, 2006, 9, 31.
  • [10] DANGERFIELD B.C., System dynamics applications to European health care issues, The Journal of the Operational Research Society, 1999, 50, 345.
  • [11] DE BLESER L., DEPREITERE R., WAELE K.D., VANHAECHT K., VLAYEN J., SERMEUS W., Defining path-ways, Journal of Nursing Management, 2006, 14, 553.
  • [12] DHAMODHARAN A., PROANO R., Determining the optimal vaccine vial size in developing countries. A Monte Carlo simulation approach, Health Care Management Science, 2012, 15, 188.
  • [13] FISHMAN G.S., Monte Carlo. Concepts, Algorithms, and Applications, Springer-Verlag, New York 1996.
  • [14] FONE D., HOLLINGHURST S., TEMPLE M., ROUND A., LESTER N., WEIGHTMAN A., ROBERTS K., COYLE E., BEVAN G., PALMER S., Systematic review of the use and value of computer simulation mod-elling in population health and health care delivery, Journal of Public Health, 2003, 25, 325.
  • [15] GUL M., GUNERI A.F., A comprehensive review of emergency department simulation applications for nor-mal and disaster conditions, Computers and Industrial Engineering, DOI:10.1016/j.cie.2015.02.018, 2015.
  • [16] HALPERN M.T., LUCE B.R., BROWN R.E., GENESTE B., Health and economic outcomes modeling prac-tices: A suggested framework, Value in Health, 1998, 1, 131.
  • [17] HARPER P.R., PHILLIPS S., GALLAGHER J.E., Geographical simulation modelling for the regional plan-ning of oral and maxillofacial surgery across London, The Journal of the Operational Research Soci-ety, 2005, 56, 134.
  • [18] HOMER J.B., HIRSCH G.B., System dynamics modeling for public health: background and opportuni-ties, American Journal of Public Health, 2006, 96, 452.
  • [19] HOMER J., HIRSCH G., MINNITI M., PIERSON M. Models for collaboration: how system dynamics helped a community organize cost-effective care for chronic illness, System Dynamics Review, 2004, 20, 199.
  • [20] JACOBSON S.H., SEWELL E.C., WENIGER B.G., Using Monte Carlo simulation to assess the value of combination vaccines for pediatric immunization, Proc. 33rd Winter Simulation Conference, IEEE Computer Society, Washington, DC, USA, 2001, 1421.
  • [21] JUN G., MORRIS Z., ELDABI T., HARPER P., NASEER A., PATEL B., CLARKSON J., Development of mod-elling method selection tool for health services management: From problem structuring methods to modelling and simulation methods, BMC Health Services Research, 2011, 11, 108.
  • [22] JUN J.B., JACOBSON S.H., SWISHER J.R., Application of discrete-event simulation in health care clinics. A survey, The Journal of the Operational Research Society, 1999, 50, 109.
  • [23] KASAIE P., KELTON W.D., VAGHEFI A., NAINI S.G.R.J., Toward optimal resource-allocation for con-trol of epidemics: an agent-based-simulation approach, Proc. 2010 Winter Simulation Conference, 2010, 2237.
  • [24] KATSALIAKI K., MUSTAFEE N., Applications of simulation within the healthcare context, The Journal of the Operational Research Society, 2011, 62, 1431.
  • [25] LAGERGREN M. What is the role and contribution of models to management and research in the health services? A view from Europe, European Journal of Operational Research, 1998, 105, 257.
  • [26] MACAL C.M., NORTH M.J., Tutorial on agent-based modelling and simulation, Journal of Simulation, 2010, 4, 151.
  • [27] MATTA M.E., PATTERSON S., Evaluating multiple performance measures across several dimensions at a multi-facility outpatient center, Health Care Management Science, 2007, 10, 173.
  • [28] MIELCZAREK B., Simulation in Health Care Management, Państwowe Wydawnictwo Naukowe, War-saw 2014 (in Polish).
  • [29] MIELCZAREK B., UZIAŁKO-MYDLIKOWSKA J., Application of computer simulation modeling in the health care sector: a survey, Simulation – Transactions of the Society for Modeling and Simulation International, 2012, 88, 197.
  • [30] SIBBEL R., URBAN C., Agent-based modeling and simulation for hospital management, Cooperative Agents, 2001, 32, 183.
  • [31] SOBOLEV B.G., SANCHEZ V., VASILAKIS C., Systematic review of the use of computer simulation mod-eling of patient flow in surgical care, Journal of Medical Systems, 2011, 35, 1.
  • [32] WHITWORTH M.H., Designing the response to an anthrax attack, Interfaces, 36, 2006, 562.
  • [33] YI P., GEORGE S.K., PAUL J.A., LIN L., Hospital capacity planning for disaster emergency manage-ment, Socio-Economic Planning Sciences, 2010, 44, 151.
  • [34] ZARIC G.S., Random vs. nonrandom mixing in network epidemic models, Health Care Management Science, 2002, 5,
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a8237060-7d20-4ec3-90be-ebb44bc5764b
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