Seoul National University Bundang Hospital (SNUBH) is one of the major hospitals in Korea with a professional medical staff, state-of-the-art facilities, and an advanced medical environment. It is well known for its advanced health information systems. SNUBH has reached Stage 7 on the HIMSS Analytics Electronic Medical Record Adoption Model (EMRAM) scale. It is the first hospital outside the United States to achieve Stage 7 at which only 1 percent of U.S. hospitals rank. The hospital is involved in several ICT (Internet and Communication Technology) research projects, such as U-Healthcare project, Smart Hospital project, etc. In this research funded by the Korean government, we applied process mining techniques to analyze the outpatient care processes in SNUBH.

Recently, SNUBH has extended its care facility; the number of beds is now 1,356 and more than 4,500 patients visit the hospital every day. The increase of patients made healthcare processes more complicated. To provide a high-quality service for patients, improvement of the processes was required. As a starting point, the hospital would like to understand their processes. i.e. whether patients follow their standard processes. After the analysis, the hospital would like to build a smart guidance system for patients considering the patient types. Furthermore, the hospital tried to simulate the care processes to control the patients’ waiting time for consultation. Thus the goal of the research is to help the hospital to understand the care processes by analyzing the event log. We analyzed the log with several process mining techniques, such as process discovery, performance analysis, and pattern analysis techniques.