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Using Discrete Event Simulation (DES) To Support Performance-Driven Healthcare Design.

Hui Cai1, Jun Jia2

  • 11 Department of Architecture, The University of Kansas, Lawrence, KS, USA.

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Discrete event simulation (DES) aids healthcare design by optimizing resource allocation and improving processes. Integrating new technologies like electronic medical records and real-time location services enhances DES effectiveness for better healthcare planning.

Keywords:
capacity planningcase studiesdecision-makingdiscrete event simulation (DES)performance-driven designprocess improvement

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Area of Science:

  • Healthcare Operations Research
  • Simulation Modeling
  • Health Facility Design

Background:

  • Discrete Event Simulation (DES) is recognized for resource allocation and process improvement in healthcare.
  • Limited research specifically details DES application in healthcare facility design.

Purpose of the Study:

  • To describe the fundamental elements, processes, and value of DES in healthcare design and planning.
  • To explore how technologies like electronic medical records (EMR) and real-time location services (RTLS) can enhance DES.
  • To examine the complementary role of Space Syntax Analysis (SSA) with DES.

Main Methods:

  • Three case studies illustrating DES in healthcare design: surgical suite validation, clinic capacity planning using RTLS, and emergency department master planning and capacity testing.
  • Integration of RTLS for detailed process data capture in a clinic.
  • Application of SSA to assess design impacts on surveillance, communication, and co-awareness in an emergency department.

Main Results:

  • DES effectively validated a surgical suite design, reducing surgeon walking distance.
  • DES facilitated clinic capacity planning by testing exam room utilization under various growth scenarios.
  • DES supported emergency department master planning and capacity testing, considering seasonal variations, complemented by SSA.

Conclusions:

  • DES is a valuable tool for addressing process aspects in healthcare environments.
  • Combining DES with post-occupancy evaluation and SSA provides robust evidence for future healthcare design by addressing behavioral aspects.
  • The integration of advanced technologies and simulation methods enhances the utility of DES in healthcare planning.