Research on Space Systemization and Reduction of Examination Time of Medical Checkup Centers Applying the Agent -based Model

  • Authors

    • Suktae Kim
    • . .
  • Pedestrian simulation, Agent-based model, Health examination center, Space syntax. Discrete-event system specification
  • Modern medicine is changing from centering on treatment to prevention and from patients to the general public, and medical checkup centers, which until recently were merely attachments to the hospitals, are becoming increasingly significant independent medical facilities. Since medical facilities can provide services in more adverse conditions than other facilities, the waiting times and cognitive spatial environment are more crucial than in any other facility. However, because extremely purpose-oriented medical facilities have become very complex when considering users’ behavioral factors, analysis with existing space theory has its limits. Hence, discrete-event simulation, a complex network analysis theory, was applied to spatial analysis to check for possibilities for efficiency improvement. The study was carried out by getting the space’s structural characteristics using space syntax, setting up the standard checkup program and the sample space, programming in the assessment factors such as the number of people on the waitlist (maximum and average) and both the survival duration and distribution of agents into the pedestrian-based discrete-event simulation analysis tool, and using it to determine the maximum capacity of users and related problems.

    On the premise that the costs are kept to a minimum, corrective measures were changed, the redistribution of some rooms’ purposes and services were prepared, and the new plan’s improved efficiency compared to that of its predecessor has been proven through simulations and analyses. According to the simulations, the walking distance was shortened and the path network’s structure was simplified, which led to enhanced structural cognition of the space and, thus, reduced the average checkup time by 46 minutes and the maximum time required for 50 checkups by 52 minutes, resulting in increased patient occupancy by 10–20 persons with little effort and cost. Even though the results of this research were from relatively small checkup centers, it proves that complex network analysis applying discrete-event simulation to a space can be effectively utilized as an architectural tool for structurally designing medical facilities, including checkup centers. Applying it at an early blueprinting stage as a preliminary simulation tool maximizes its effectiveness and is expected to be compatible with large-scale, complex facilities.



  • References

    1. [1] Kim, ST. (2018) A Study on the Optimization of the Accommodation Number at Health Examination Center using Agent Based Modeling. International Journal of Hybrid Information Technology, 11(1), 1–6

      [2] Oh, KE, Bak, WS, Han, SS, Park, SC, & Lee, SC. (2013) Developing Innovation Index of Hospital Service using 6Sigma and SERVQUAL. Journal of Korean Society for Quality Management,41(4), 555–566

      [3] Dyer, R. F. & Forman, E. H. (1993). An Analytic Approach to Marketing Decision, Prentice-hall International Edition

      [4] Dansky, K. H, & Miles, J. (1997). Patient satisfaction with ambulatory healthcare services: waiting time and filling time. Journal of Healthcare Management, 42(2), 165.

      [5] Park, CS, Kawg, EJ. (2009). A Case Study about Managing Waiting Time for Raising Customer’s Satisfaction in the Medical Service, Korean Journal of Hospital Management, 14(3), 132–133

      [6] Kwon, BH. (1997) A Simulation Analysis for the Minimization of Outpatient’s Waiting Time at the Enrollment and Receipt Counter in a General Hospital, Journal of Korean Society of Computer and Information, 2(1), 98

      [7] Yeo, HJ, Bak, WS, Yoo, MC, Park, SC, & Lee, SC. (2014). Evaluation of patients' queue environment on medical service using queueing theory. Journal of the Korean Society for Quality Management, 42(1), 71–79.

      [8] Korean Associate of Health Promotion Official Homepage (2018, Feb 3). Retrieved from doc.php? tkind=1&lkind=1&mkind=2

      [9] Jung, J. H. (2011). A Study on the Space Plan of a Health Examination Center Based on Environmental Psychological Behavior (Master’s Thesis), Hanyang University, South Korea

      [10] Han, S. W. (2008). A Study on the Spatial Composition & Using Circulation of Health Promotion Center in General Hospital (Master’s Thesis) Hanyang University, South Korea

      [11] Song, SE & Kim, ST (2012). A Study on Traffic Line Efficiency of Health Examination Centers Based on Space Syntax : Focused on the Spatial Cognition of the Testee Taking the National Examination Program, Journal of Institute of Healthcare Architecture, 18(4) 53–67

      [12] Anylogic Official Homepage (2018, Feb 4). Retrieved from

  • Downloads

  • How to Cite

    Kim, S., & ., . (2019). Research on Space Systemization and Reduction of Examination Time of Medical Checkup Centers Applying the Agent -based Model. International Journal of Engineering & Technology, 8(1.4), 256-268.