Process Mining-Supported Emergency Room Process Performance Indicators

Minsu Cho, Minseok Song, Junhyun Park, Seok-Ran Yeom, Il-Jae Wang and Byung-Kwan Choi
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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

IJERPH, 2020, vol. 17, issue 17, 1-20

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.

Keywords: process performance indicators; process mining; emergency room; healthcare; performance measurements (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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