Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models

Seungho Jeon   ¹ , ME ;   Jeongeun Seo   ¹ , BD ;   Sukyoung Kim   ¹ , BD ;   Jeongmoon Lee   ² , BD ;   Jong-Ho Kim   ³ , PhD ;   Jang Wook Sohn   ⁴ , MD, PhD ;   Jongsub Moon   ^{1 *} , PhD ;   Hyung Joon Joo   ^{5 *} , MD, PhD

¹ Division of Information Security, Graduate School of Information Security, Korea University, Seoul, Republic of Korea

² Korea University Research Institute for Medical Bigdata Science, Korea University, Seoul, Republic of Korea

³ Department of Cardiology, Cardiovascular Center, Korea University, Seoul, Republic of Korea

⁴ Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, Korea University, Seoul, Republic of Korea

⁵ Department of Internal Medicine, Korea University College of Medicine, Korea University, Seoul, Republic of Korea

*these authors contributed equally