Process Mining-Supported Emergency Room Process Performance Indicators.

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

doi:10.3390/ijerph17176290

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.

Highlights

The plethora of technological advancements in healthcare environments has increased enormously in recent years
This paper aimed to provide a guideline for measuring performances of emergency room processes in detail
We proposed a framework of Emergency Room Process Performance

Summary

Introduction

The plethora of technological advancements in healthcare environments has increased enormously in recent years. To this end, existing approaches can be divided into two main research streams, such as biological and engineering development, according to the general goal of improving the quality of care. The engineering-oriented research tries to analyze and improve the activities of medical stakeholders based on engineering methods such as information technology, optimization, simulation, etc. Such approaches usually emphasize the comprehensive management of clinical processes inevitable for clinical quality control, including process analysis and improvement in the medical environment [1]. A typical method is to distinguish clinical processes with the patient type, such as non-elective

Objectives

Methods

Discussion

Conclusion