A Simulation-Based Decision Support System to Model Complex Demand Driven Heathcare Facilities

Amr Arisha, Michael Thorwarth

Research output: Contribution to conferencePaperpeer-review

Abstract

Simulating healthcare processes is a sophisticated endeavor. Treatment processes and patient arrival patterns differ significantly in their statistical attributes and implicate a high degree of variability. In addition, there are several types of interconnected processes of medical staff involved that accompany a patient’s journey through the healthcare facility. Replicating this behavior with process flow models in a discrete event simulation model is highly complex and therefore difficult to create while maintaining a high degree of precision. A framework is thus introduced which delivers an algorithm that allows to implement Multiple Participant Pathway Modeling (MPPM) under the consideration of Flexible Resource Allocation (FRA). This framework is applied on an Irish Emergency Department (ED), the outcome of which is presented here. Results show that scenarios can be investigated which impact several different process flows with a high precision. This provides a solid base for both the interpretation of results and decision making.
Original languageEnglish
DOIs
Publication statusPublished - 2012
EventWinter Simulation Conference - Berlin, Germany
Duration: 9 Dec 201213 Dec 2012

Conference

ConferenceWinter Simulation Conference
Country/TerritoryGermany
CityBerlin
Period9/12/1213/12/12

Keywords

  • Simulating healthcare processes
  • Treatment processes
  • Patient arrival patterns
  • Statistical attributes
  • Variability
  • Interconnected processes
  • Medical staff
  • Discrete event simulation model
  • Multiple Participant Pathway Modeling (MPPM)
  • Flexible Resource Allocation (FRA)
  • Irish Emergency Department (ED)
  • Process flows
  • Decision making

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