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Improving patient timeliness of care through efficient outpatient clinic layout design using data-driven simulation and optimisation

Author

Listed:
  • Vahab Vahdat
  • Amir Namin
  • Rana Azghandi
  • Jacqueline Griffin

Abstract

With greater demand for outpatient services, the importance of patient-centric clinic layout design that improves timeliness of patient care has become more elucidated. In this paper, a novel simulation-optimisation (SO) framework is proposed focusing on the physical and process flows of patients in the design of a paediatric orthopaedic outpatient clinic. A discrete-event simulation model is used to estimate the frequency of movements between clinic units. The resulting information is utilised as input to a mixed integer programming (MIP) model, optimising the clinic layout design. In order to solve the MIP model, Particle Swarm Optimisation (PSO), a metaheuristic approach enhanced with several heuristics is utilised. Finally, the optimisation model outputs are evaluated with the simulation model. The results demonstrate that improvements to the quality of the patient experience can be achieved through incorporating SO methods into the clinic layout design process.

Suggested Citation

  • Vahab Vahdat & Amir Namin & Rana Azghandi & Jacqueline Griffin, 2019. "Improving patient timeliness of care through efficient outpatient clinic layout design using data-driven simulation and optimisation," Health Systems, Taylor & Francis Journals, vol. 8(3), pages 162-183, September.
  • Handle: RePEc:taf:thssxx:v:8:y:2019:i:3:p:162-183
    DOI: 10.1080/20476965.2018.1561160
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