A participative modelling framework for developing conceptual models in healthcare simulation studies

Conceptual modelling, one of the first stages in a simulation study, is about understanding the situation under study and deciding what and how to model. We argue that stakeholder involvement as part of conceptual modelling could lead to a more successful simulation study with better prospects for implementation. Our work is mainly applied in health care studies, which are characterized by many stakeholders with multiple views and objectives and often a politically charged environment. We develop a participative conceptual modelling framework, which uses tools from soft systems methodology, a problem structuring approach. The benefit of this approach lies in that it supports the conceptual modelling process by engaging stakeholders in a structured and participative way. It involves facilitated workshops, using a set of tools developed. A case study of the conceptual modelling process undertaken for an obesity system is provided to illustrate the proposed framework and tools.

[1]  Jonathan Rosenhead,et al.  Rational Analysis for a Problematic World Revisited , 2001 .

[2]  George P. Richardson,et al.  Group model building: adding more science to the craft , 1997 .

[3]  Thomas R. Willemain,et al.  Model Formulation: What Experts Think About and When , 1995, Oper. Res..

[4]  Stewart Robinson,et al.  Conceptual Modeling for Simulation: Issues and Research Requirements , 2006, Proceedings of the 2006 Winter Simulation Conference.

[5]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[6]  C. Goodeve Operational Research , 1948, Nature.

[7]  Simon Peck,et al.  Group Model Building: Facilitating Team Learning Using System Dynamics , 1996, J. Oper. Res. Soc..

[8]  R. Hall,et al.  Patient flow : reducing delay in healthcare delivery , 2006 .

[9]  Stewart Robinson,et al.  Simulation: The Practice of Model Development and Use , 2004 .

[10]  Michael Pidd Making sure you tackle the right problem: Linking hard and soft methods in simulation practice , 2007, 2007 Winter Simulation Conference.

[11]  Publications Tackling Obesities: Future Choices , 2007 .

[12]  Stewart Robinson,et al.  Conceptual modelling for simulation Part II: a framework for conceptual modelling , 2008, J. Oper. Res. Soc..

[13]  R. Hall Patient flow : reducing delay in healthcare delivery , 2006 .

[14]  B Lehaney,et al.  Simulation modelling for resource allocation and planning in the health sector , 1995, Journal of the Royal Society of Health.

[15]  Jac A. M. Vennix,et al.  Group model-building: tackling messy problems , 1999 .

[16]  K McPherson,et al.  FORESIGHT TACKLING OBESITIES: FUTURE CHOICES , 2011 .

[17]  Stewart Robinson,et al.  Conceptual modelling for simulation Part I: definition and requirements , 2008, J. Oper. Res. Soc..

[18]  Peter Checkland,et al.  Soft Systems Methodology in Action , 1990 .

[19]  Kathy Kotiadis,et al.  Using soft systems methodology to determine the simulation study objectives , 2007, J. Simulation.

[20]  Sheldon Howard Jacobson,et al.  Application of discrete-event simulation in health care clinics: A survey , 1999, J. Oper. Res. Soc..

[21]  G. Bevan,et al.  "Systematic" , 1966, Comput. J..

[22]  Michael Pidd,et al.  Computer Simulation in Management Science (3rd Edition) , 1998 .

[23]  Stewart Robinson,et al.  Conceptual modelling: Knowledge acquisition and model abstraction , 2008, 2008 Winter Simulation Conference.

[24]  Averill Law,et al.  Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management) , 2006 .

[25]  Peter Checkland,et al.  Systems Thinking, Systems Practice , 1981 .