Abstract
Tacitly we all use models all the time to help us understand and operate in the world around us. Modelling is a formal approach to understanding the real world through a simplified external and explicit representation of a mental model which can be manipulated and tested, before being implemented back into the real world. Mikulecky described the underlying mental processes as summarised in Fig. 6.1.
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Notes
- 1.
Some modelling methods are explained in greater detail at: http://www.systemswiki.org/index.php?title=Simulation_Methods.
- 2.
All variable names appear in italic.
- 3.
“+” sign next to the arrow indicates that the change in the variable at the tail of the arrow results in a change of the variable at the head of the arrow in the same direction.
- 4.
Again “+” sign as the change occurs in the same direction.
- 5.
Here we have a “−“ sign as the change will result in a change in the opposite direction.
- 6.
Videocast/Podcast at http://videocast.nih.gov/Summary.asp?file=13712.
- 7.
Interested readers are referred to the publications by Ceglowski et al. [14].
- 8.
For a brief introduction and references see
http://www.systemswiki.org/index.php?title=System_Dynamics; http://www.systemswiki.org/index.php?title=System_Dynamics_Methodology.
- 9.
More detail of the model is available online at http://insightmaker.com/insight/1003.
- 10.
More detail of the model is available online at http://insightmaker.com/insight/323.
- 11.
This section is taken from unpublished work of my NZ colleague David Rees and Ahmad Azars’s papers and conference presentations (GM).
- 12.
More detail of the model is available online at http://insightmaker.com/insight/318.
- 13.
An unfolding of the arguments in the paper and link to the Insight is available on the Systemwiki website.
References
Sturmberg JP. The foundations of primary care. Daring to be different. Oxford, San Francisco: Radcliffe Medical Press; 2007.
Pidd M. Tools for thinking: modelling in management science. 3rd ed. Chichester, UK: Wiley; 2010.
Frigg R, Hartmann S. Models in science: Stanford Encyclopedia of Philosophy 2012, http://plato.stanford.edu/entries/models-science/#Con.
Rosenblueth A, Wiener N. The role of models in science. Philos Sci. 1945;12(4):316–21.
Meadows DH, Wright D. Thinking in systems: a primer. White River Junction, VT: Chelsea Green Publishing Company; 2009.
Greenhalgh T, Hurwitz B. Narrative based medicine: why study narrative? Br Med J. 1999;318:48–50.
Sturmberg JP, Siew E-G, Churilov L, Smith-Miles K. Identifying patterns in primary care consultations: a cluster analysis. J Eval Clin Pract. 2009;15(3): 558–64.
Deboeck G, Kohonen T. Explorations in finance with self organizing maps. London: Springer; 1998.
Bolton P, Mira M, Sprogis A. Oranges are not the only fruit: the role of emergency departments in providing care to primary care patients. Aust Health Rev. 2000;23(3):132–6.
Cooke M, Wilson S, Pearson S. The effect of a separate stream for minor injuries on accident and emergency department waiting times. Emerg Med J. 2002;19(1):28–30.
Jiang H, editor. Predicting emergency department status. Proceedings of International Conference on Optimization: Techniques and Applications Pacific Optimization Research Activity Group. Ballarat, Australia, 2004.
Coleridge JT, Cameron PA, White JB, Epstein J. Profile of emergency department attendances. Emerg Med. 1993;5(1):18–27.
Liaw S-T, Hill T, Bryce H, Adams G. Emergency and primary care at a Melbourne hospital: reasons for attendance and satisfaction. Aust Health Rev. 2001; 24(2):120–34.
Ceglowski R, Churilov L, Wasserthiel J. Combining data mining and discrete event simulation for a value-added view of a hospital emergency department. J Oper Res Soc. 2007;58(2):246–54.
Lane DC, Monefeldt C, Rosenhead JV. Looking in the wrong place for healthcare improvements: a system dynamics study of an accident and emergency department. J Oper Res Soc. 2000;51(5):518–31.
Bagust A, Place M, Posnett JW. Dynamics of bed use in accommodating emergency admissions: stochastic simulation model. Br Med J. 1999;319(7203):155–8.
Hoffenberg S, Hill MB, Houry D. Does sharing process differences reduce patient length of stay in the emergency department? Ann Emerg Med. 2001;38(5): 533–40.
Harper PR. A framework for operational modelling of hospital resources. Health Care Manage Sci. 2002; 5(3):165–73.
Jun JB, Jacobson SH, Swisher JR. Application of discrete-event simulation in health care clinics: a survey. J Oper Res Soc. 1999;50(2):109–23.
Schneider KCMPH, Lichtenstein JLMD, Freeman JLP, Newbold RCMM, Fetter RBDBA, Gottlieb LMD, et al. Ambulatory visit groups: an outpatient classification system. J Ambul Care Manage. 1988;11(3):1.
Jelinek G. A Casemix information system for Australian Hospital Emergency departments. Perth, Western Australia: A report to the Commissioner of Health; 1995.
Bond M, Erwich-Nijhout M, Phillips D, Baggoley C. Urgency, disposition and age groups: a Casemix model for emergency medicine. Emerg Med. 1998; 10(2):103–10.
Isken MW, Rajagopalan B. Data mining to support simulation modeling of patient flow in hospitals. J Med Syst. 2002;26(2):179–97.
Kohonen T. Self-organizing maps. Berlin: Springer; 1995.
Kennedy RL, Lee Y, Van Roy B, Reed CD, Lippman RP. Solving data mining problems through pattern recognition. Englewood Cliffs, NJ: Prentice-Hall; 1998.
Ward J. Hierarchical grouping to optimise an objective function. J Am Statist Assoc. 1963;58(301): 236–44.
Baesler F, Jahnsen H, DaCosta M, editors. The use of simulation and design of experiments for estimating maximum capacity in an emergency room. New Orleans, LA: Winter Simulation Conference INFORMS; 2003.
Brailsford S, Churilov L, Liew S, editors. Treating ailing emergency departments with simulation: An integrated perspective, 36th Annual Simulation Symposium—Society for modeling and simulation international. Orlando, FL: IEEE Computer Society; 2003.
Mahapatra S, Koelling CP, Patvivatsiri L, Fraticelli BMP, Eitel D, Grove L, editors. Pairing emergency severity index 5-level triage data with computer aided system design to improve emergency department access and throughput. New Orleans, LA: Winter Simulation Conference INFORMS; 2003.
Miller MJ, Ferrin DM, Szymanski JM, editors. Simulating Six Sigma improvement ideas for a hospital emergency department. New Orleans, LA: Winter Simulation Conference INFORMS; 2003.
Miró Ò, Sánchez M, Espinosa G, Coll-Vinent B, Bragulat E, Millá J. Analysis of patient flow in the emergency department and the effect of an extensive reorganisation. Emerg Med J. 2003;20(2):143–8.
Samaha S, Armel WS, Starks DW, editors. The use of simulation to reduce the length of stay in an emergency department. New Orleans, LA: Winter Simulation Conference INFORMS; 2003.
Wiinamaki A, Dronzek R, editors. Using simulation in the architectural concept phase of an emergency department design. New Orleans, LA: Winter Simulation Conference INFORMS; 2003.
Connelly LG, Bair AE. Discrete event simulation of emergency department activity: a platform for system-level operations research. Acad Emerg Med. 2004;11(11):1177–85.
Cleary MI, Ashby RH, Jelinek GA, Lagaida R. The future of Casemix in emergency medicine and ambulatory care. Med J Aust. 1994;161(Suppl):S30–3.
Motohashi Y, Nishi S. Prediction of end-stage renal disease patient population in Japan by systems dynamics model. Int J Epidemiol. 1991;20(4):1032–6.
Masnick K, McDonnell G. A model linking clinical workforce skill mix planning to health and health care dynamics. Hum Resour Health. 2010;8(1):11.
Paul SA, Reddy MC, DeFlitch CJ. A systematic review of simulation studies investigating emergency department overcrowding. Simulation. 2010;86(8-9):559–71.
Wolstenholme E, Monk D, McKelvie D, Arnold S. Coping but not coping in health and social care: masking the reality of running organisations beyond safe design capacity. Syst Dyn Rev. 2007;23(4):371–89.
Gray L, Broe GA, Duckett SJ, Gibson DM, Travers C, McDonnell G. Developing a policy simulator at the acute-aged care interface. Aust Health Rev. 2006; 30(4):450–7.
Homer J, Hirsch G, Milstein B. Chronic illness in a complex health economy: the perils and promises of downstream and upstream reforms. Syst Dyn Rev. 2007;23(2–3):313–43.
General System Dynamics and Health References
Bellinger G. Systemic perspective. 2010. http://www.systemswiki.org/index.php?title=Systemic_Perspective.
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Sturmberg, J.P., Churilov, L., McDonnell, G. (2013). Modelling. In: Sturmberg, J., Martin, C. (eds) Handbook of Systems and Complexity in Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4998-0_6
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