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Process Mining-Supported Emergency Room Process Performance Indicators

Author

Listed:
  • Minsu Cho

    (Research Institute of Industry & SME Strategy, Korea Institute of Industrial Technology, Seoul 06211, Korea)

  • Minseok Song

    (Department of Industrial & Management Engineering, Pohang University of Science and Technology, Pohang 37673, Korea)

  • Junhyun Park

    (Department of Industrial & Management Engineering, Pohang University of Science and Technology, Pohang 37673, Korea)

  • Seok-Ran Yeom

    (Department of Emergency Medicine, Pusan National University Hospital, Busan 49241, Korea)

  • Il-Jae Wang

    (Department of Emergency Medicine, Pusan National University Hospital, Busan 49241, Korea)

  • Byung-Kwan Choi

    (Department of Neurosurgery, Pusan National University Hospital, Busan 49241, Korea)

Abstract

Emergency room processes are often exposed to the risk of unexpected factors, and process management based on performance measurements is required due to its connectivity to the quality of care. Regarding this, there have been several attempts to propose a method to analyze the emergency room processes. This paper proposes a framework for process performance indicators utilized in emergency rooms. Based on the devil’s quadrangle, i.e., time, cost, quality, and flexibility, the paper suggests multiple process performance indicators that can be analyzed using clinical event logs and verify them with a thorough discussion with clinical experts in the emergency department. A case study is conducted with the real-life clinical data collected from a tertiary hospital in Korea to validate the proposed method. The case study demonstrated that the proposed indicators are well applied using the clinical data, and the framework is capable of understanding emergency room processes’ performance.

Suggested Citation

  • Minsu Cho & Minseok Song & Junhyun Park & Seok-Ran Yeom & Il-Jae Wang & Byung-Kwan Choi, 2020. "Process Mining-Supported Emergency Room Process Performance Indicators," IJERPH, MDPI, vol. 17(17), pages 1-20, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6290-:d:405702
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    References listed on IDEAS

    as
    1. Davide Duma & Roberto Aringhieri, 2020. "An ad hoc process mining approach to discover patient paths of an Emergency Department," Flexible Services and Manufacturing Journal, Springer, vol. 32(1), pages 6-34, March.
    2. Jan Vom Brocke, 2007. "Service Portfolio Measurement: Evaluating Financial Performance of Service-Oriented Business Processes," International Journal of Web Services Research (IJWSR), IGI Global, vol. 4(2), pages 1-32, April.
    3. Gema Ibanez-Sanchez & Carlos Fernandez-Llatas & Antonio Martinez-Millana & Angeles Celda & Jesus Mandingorra & Lucia Aparici-Tortajada & Zoe Valero-Ramon & Jorge Munoz-Gama & Marcos Sepúlveda & Eric R, 2019. "Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case," IJERPH, MDPI, vol. 16(10), pages 1-22, May.
    4. Hyunyoung Baek & Minsu Cho & Seok Kim & Hee Hwang & Minseok Song & Sooyoung Yoo, 2018. "Analysis of length of hospital stay using electronic health records: A statistical and data mining approach," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-16, April.
    5. Eric Rojas & Andres Cifuentes & Andrea Burattin & Jorge Munoz-Gama & Marcos Sepúlveda & Daniel Capurro, 2019. "Performance Analysis of Emergency Room Episodes Through Process Mining," IJERPH, MDPI, vol. 16(7), pages 1-20, April.
    Full references (including those not matched with items on IDEAS)

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