PERSONAL DATA PRIVACY PROTECTION USING PROCESS MINING: FOCUSED ON A GENERAL HOSPITAL CASE

As the risk of personal information leakage in medical institutions has in-creased, the protection of personal information requires careful attention. However, the research on personal information protection in medical institutions is still limited to qual-itative approaches, such as surveys or regulations. This paper proposes a methodology for detecting and preventing personal information leakage by using a process mining technique based on the log data collected from a general hospital. A process mining technique has been utilized to construct and analyze process models. An outlier detection technique has been presented to detect outliers that might impose risks to privacy protection ef-fectively. An experiment has been conducted to show the effectiveness of the proposed methodology. This paper is expected to provide an effective way to protect sensitive personal information in the healthcare industry.