Skip to main content
Log in

Modeling patient service centers with simulation and system dynamics

  • Published:
Health Care Management Science Aims and scope Submit manuscript

Abstract

We report on the use of simulation modeling for redesigning phlebotomy and specimen collection centers (or patient service centers) at a medical diagnostic laboratory. Research was performed in an effort to improve patient service, in particular to reduce average waiting times as well as their variability. Discrete-event simulation modeling provided valuable input into new facility design decisions and showed the efficacy of pooling sources of variation, particularly patient demand and service times. Initial performance of the redesigned facilities was positive; however, dynamic feedback within the system of service centers eventually resulted in unanticipated performance problems. We show how a system dynamics model might have helped predict these implementation problems and suggest some ways to improve results.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Ashton R, Hague L, Brandreth M, Worthington D, Cropper S (2005) A simulation-based study of a NHS walk-in centre. J Oper Res Soc 56:153–161

    Article  Google Scholar 

  2. Stahl JE, Rattner D, Wiklund R, Lester J, Beinfeld M, Gazelle GS (2004) Reorganizing the system of care surrounding laparoscopic surgery: a cost-effectiveness analysis using discrete-event simulation. Med Decis Mak 24:461–471

    Article  Google Scholar 

  3. Stafford EF Jr, Aggarwal SC (1979) Managerial analysis and decision-making in outpatient health clinics. J Oper Res Soc 30:905–915

    Article  Google Scholar 

  4. Jun J, Jacobson S, Swisher J (1999) Application of discrete-event simulation in health care clinics: a survey. J Oper Res Soc 50:109–123

    Article  Google Scholar 

  5. Swisher JR, Jacobson SH, Jun JB, Balci O (2001) Modeling and analyzing a physician clinic environment using discrete-event (visual) simulation. Comput Oper Res 28:105–125

    Article  Google Scholar 

  6. Pasin F, Jobin MH, Cordeau JF (2002) An application of simulation to analyse resource sharing among health-care organisations. Int J Oper Prod Manage 22:381–393

    Article  Google Scholar 

  7. Law AM, Kelton WD (2000) Simulation modeling and analysis, 3rd edn. McGraw-Hill, New York

    Google Scholar 

  8. Kleijnen J (1995) Verification and validation of simulation models. Eur J Oper Res 82:145–162

    Article  Google Scholar 

  9. Arena, Version 5.00 (Rockwell Automation 2000)

  10. Young T (2005) An agenda for healthcare and information simulation. Health Care Manage Sci 8:189–196

    Article  Google Scholar 

  11. Brailsford SC, Lattimer VA, Tarnaras P, Turnbull JC (2004) Emergency and on-demand health care: modelling a large complex system. J Oper Res Soc 55:34–42

    Article  Google Scholar 

  12. Lane DC, Monefeldt C, Rosenhead JV (2000) Looking in the wrong place for healthcare improvements: a system dynamics study of an accident and emergency department. J Oper Res Soc 51:518–531

    Article  Google Scholar 

  13. Taylor K, Dangerfield B (2005) Modelling the feedback effects of reconfiguring health services. J Oper Res Soc 56:659–675

    Article  Google Scholar 

  14. Sterman JD (2001) System dynamics modeling: tools for learning in a complex world. Calif Manage Rev 43(4):8–25

    Google Scholar 

  15. Kaldenberg DO, Becker BW (1999) Evaluations of care by ambulatory surgery patients. Health Care Manage Rev 24(3):73–83

    Google Scholar 

  16. Vensim, Version 5.4 (Ventana Systems, Inc. 2003)

  17. Lane DC, Monefeldt C, Husemann E (2003) Client involvement in simulation model building: hints and insights from a case study in a London hospital. Health Care Manage Sci 6:105–116

    Article  Google Scholar 

  18. Sterman JD (2000) Business dynamics: systems thinking and modeling for a complex world. McGraw-Hill, Boston, MA

    Google Scholar 

  19. Harper PR, Pitt MA (2004) On the challenge of healthcare modelling and a proposed project life cycle for successful implementation. J Oper Res Soc 55:657–661

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas R. Rohleder.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rohleder, T.R., Bischak, D.P. & Baskin, L.B. Modeling patient service centers with simulation and system dynamics. Health Care Manage Sci 10, 1–12 (2007). https://doi.org/10.1007/s10729-006-9001-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10729-006-9001-8

Keywords

Navigation