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

Hui Cai, Jun Jia

HERD Health Environments Research & Design Journal · 2018 · 34 citations · 27 references

Concepts

TL;DR

DES is increasingly recognized as an effective tool for resource allocation and process improvement, yet few studies have examined its role in healthcare design, especially with emerging technologies such as EMR, RTLS, and SSA. The study aims to describe the core elements of DES and its application in healthcare design and planning, including how emerging technologies such as EMR, RTLS, and SSA can complement simulation. The authors applied DES in three case studies—validating a surgical suite layout, testing clinic exam‑room utilization under growth scenarios, and evaluating ED site selection and capacity—using RTLS data and SSA to assess design impacts. The case studies demonstrate that DES effectively addresses process aspects of healthcare environments and, when combined with post‑occupancy evaluation and SSA, provides robust evidence for future design.

Abstract

This article aims to provide a description of fundamental elements of discrete event simulation (DES), the process and the values of applying DES in assisting healthcare design and planning decision-making. More importantly, it explores how new technology such as electronic medical records, real-time location services (RTLS), and other simulation methods such as space syntax analysis (SSA) can facilitate and complement DES.Healthcare administrators increasingly recognize DES as an effective tool for allocating resources and process improvement. However, limited studies have described specifically how DES can facilitate healthcare design.Three case studies were provided to illustrate the value of DES in supporting healthcare design. The first case study used DES to validate a surgical suite design for shorter surgeon walking distance. The second case study used DES to facilitate capacity planning in a clinic through testing the utilization of exam rooms upon various growth scenario. The detailed process data for the current clinic were captured through RTLS tracking. The third case study applied DES in an emergency department for both site selection in master planning and capacity test at various growth scenarios with seasonal volume swing. In addition, SSA was conducted to evaluate the impacts of design on visual surveillance, team communication, and co-awareness.It is recognized that the DES analysis is an effective tool to address the process aspects of healthcare environments and should be combined with post-occupancy evaluation and SSA to address behavioral aspects of operations to provide more solid evidence for future design.

References

27