Next Article in Journal
Factors Affecting Health-Promoting Behaviors among Nursing Students
Next Article in Special Issue
Mapping the Patient’s Journey in Healthcare through Process Mining
Previous Article in Journal
How Can We Improve the Consumption of a Nutritionally Balanced Maternal Diet in Rural Bangladesh? The Key Elements of the “Balanced Plate” Intervention
Previous Article in Special Issue
Automatic Process Comparison for Subpopulations: Application in Cancer Care
Article

Process Mining-Supported Emergency Room Process Performance Indicators

1
Research Institute of Industry & SME Strategy, Korea Institute of Industrial Technology, Seoul 06211, Korea
2
Department of Industrial & Management Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
3
Department of Emergency Medicine, Pusan National University Hospital, Busan 49241, Korea
4
Department of Neurosurgery, Pusan National University Hospital, Busan 49241, Korea
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in the International Workshop on Process-Oriented Data Science for Healthcare 2019 (PODS4H19), 2 September 2019 called “Developing Process Performance Indicators for Emergency Room Processes”.
Int. J. Environ. Res. Public Health 2020, 17(17), 6290; https://doi.org/10.3390/ijerph17176290
Received: 11 July 2020 / Revised: 21 August 2020 / Accepted: 26 August 2020 / Published: 28 August 2020
(This article belongs to the Special Issue Process-Oriented Data Science for Healthcare 2019 (PODS4H19))
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. View Full-Text
Keywords: process performance indicators; process mining; emergency room; healthcare; performance measurements process performance indicators; process mining; emergency room; healthcare; performance measurements
Show Figures

Figure 1

MDPI and ACS Style

Cho, M.; Song, M.; Park, J.; Yeom, S.-R.; Wang, I.-J.; Choi, B.-K. Process Mining-Supported Emergency Room Process Performance Indicators. Int. J. Environ. Res. Public Health 2020, 17, 6290. https://doi.org/10.3390/ijerph17176290

AMA Style

Cho M, Song M, Park J, Yeom S-R, Wang I-J, Choi B-K. Process Mining-Supported Emergency Room Process Performance Indicators. International Journal of Environmental Research and Public Health. 2020; 17(17):6290. https://doi.org/10.3390/ijerph17176290

Chicago/Turabian Style

Cho, Minsu, Minseok Song, Junhyun Park, Seok-Ran Yeom, Il-Jae Wang, and Byung-Kwan Choi. 2020. "Process Mining-Supported Emergency Room Process Performance Indicators" International Journal of Environmental Research and Public Health 17, no. 17: 6290. https://doi.org/10.3390/ijerph17176290

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop