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Improving the Efficiency of an Emergency Department Based on Activity-Relationship Diagram and Radio Frequency Identification Technology

Author

Listed:
  • Shao-Jen Weng

    (Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung 40704, Taiwan
    Healthcare Systems Consortium, Tunghai University, Taichung 40704, Taiwan)

  • Ming-Che Tsai

    (Institute of Medicine and School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan
    Emergency Department of Chung Shan medical university hospital, Taichung 40201, Taiwan)

  • Yao-Te Tsai

    (Department of International Business, Feng Chia University, Taichung 40724, Taiwan)

  • Donald F. Gotcher

    (Department of International Business, Tunghai University, Taichung 40704, Taiwan)

  • Chih-Hao Chen

    (Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung 40704, Taiwan)

  • Shih-Chia Liu

    (Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung 40704, Taiwan)

  • Yeong-Yuh Xu

    (Department of Computer Science and Information Engineering, Hungkuang University, Taichung 43302, Taiwan)

  • Seung-Hwan Kim

    (Department of Business Administration, Ajou University, Suwon 443-749, Korea)

Abstract

Emergency department crowding has been one of the main issues in the health system in Taiwan. Previous studies have usually targeted the process improvement of patient treatment flow due to the difficulty of collecting Emergency Department (ED) staff data. In this study, we have proposed a hybrid model with Discrete Event Simulation, radio frequency identification applications, and activity-relationship diagrams to simulate the nurse movement flows and identify the relationship between different treatment sections. We used the results to formulate four facility layouts. Through comparing four scenarios, the simulation results indicated that 2.2 km of traveling distance or 140 min of traveling time reduction per nurse could be achieved from the best scenario.

Suggested Citation

  • Shao-Jen Weng & Ming-Che Tsai & Yao-Te Tsai & Donald F. Gotcher & Chih-Hao Chen & Shih-Chia Liu & Yeong-Yuh Xu & Seung-Hwan Kim, 2019. "Improving the Efficiency of an Emergency Department Based on Activity-Relationship Diagram and Radio Frequency Identification Technology," IJERPH, MDPI, vol. 16(22), pages 1-14, November.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:22:p:4478-:d:286724
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    References listed on IDEAS

    as
    1. Matthew J. Glover & Edmund Jones & Katya L. Masconi & Michael J. Sweeting & Simon G. Thompson, 2018. "Discrete Event Simulation for Decision Modeling in Health Care: Lessons from Abdominal Aortic Aneurysm Screening," Medical Decision Making, , vol. 38(4), pages 439-451, May.
    2. J B Jun & S H Jacobson & J R Swisher, 1999. "Application of discrete-event simulation in health care clinics: A survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(2), pages 109-123, February.
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