Simulation in healthcare management: a soft approach (MAPIU)

Abstract Simulation application in healthcare is not as widely perceived for problem solving as it is in other application areas. This might be due to the way simulation is applied in healthcare modelling, as it follows a traditionally based on engineering approach. This may not be a problem in itself; however, healthcare systems are often complex in that they involve multiple decision-makers and thus understanding and communication between the various stakeholders is potentially problematic. Problem understanding and efficient communication means can widely contribute to the solution; consequently a modelling approach is proposed in this paper to enhance such understanding and communication. The approach is based on participation of stakeholders; it is also iterative. An example is given aiming to show how this approach has been used to successfully facilitate the modelling process, concluding that involving stakeholders throughout enables them to fully appreciate the findings. This approach thus serves to enrich the communication process.

[1]  José A. Sepúlveda,et al.  Emerging issues in healthcare simulation , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[2]  Catherine Drury Barnes,et al.  Success stories in simulation in health care , 1997, WSC '97.

[3]  Mårten Lagergren,et al.  What is the role and contribution of models to management and research in the health services? A view from Europe , 1998, Eur. J. Oper. Res..

[4]  Richard E. Nance,et al.  The Conical Methodology and the evolution of simulation model development , 1994, Ann. Oper. Res..

[5]  Stewart Robinson,et al.  Simulation Modelling , 2001 .

[6]  O. Jonasson,et al.  Waiting in line: should selected patients ever be moved up? , 1989, Transplantation proceedings.

[7]  Osman Balci Validation, verification, and testing techniques throughout the life cycle of a simulation study , 1994, WSC '94.

[8]  Ray J. Paul,et al.  Using simulation for the economic evaluation of liver transplantation , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

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

[10]  John Fox,et al.  Agent-based approach to health care management , 1995, Appl. Artif. Intell..

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

[12]  Ray J. Paul,et al.  The Centre for Health Informatics and Computing (CHIC) , 2000, ITI 2000. Proceedings of the 22nd International Conference on Information Technology Interfaces (Cat. No.00EX411).

[13]  Randall P. Sadowski,et al.  Introduction to Simulation Using Siman , 1990 .

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

[15]  Vlatka Hlupic,et al.  Successful Simulation: A Practical Approach to Simulation Projects , 1995 .

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

[17]  J. Banks,et al.  Discrete-Event System Simulation , 1995 .

[18]  R.J. Paul,et al.  Soft systems methodology and simulation modeling , 1996, Proceedings Winter Simulation Conference.

[19]  David T. Sturrock Tips for successful practice of simulation , 1999 .

[20]  Ray J. Paul,et al.  Simulating economic factors in adjuvant breast cancer treatment , 2000, J. Oper. Res. Soc..

[21]  Michael Pidd,et al.  Tools for Thinking—Modelling in Management Science , 1997 .