Literature DB >> 23920818

Experience of de-identification system development for clinical research in tertiary hospital.

Soo-Yong Shin1, Yongman Lyu, Yongdon Shin, Hyo Joung Choi, Jihyun Park, Woo-Sung Kim, Jae Ho Lee.   

Abstract

To protect patients' privacy and to improve the convenience of research, Asan Medical Center (AMC) has been developing a de-identification system for biomedical research, which mainly consists of three components: de-identification tool, search tool, and chart review tool. The de-identification tool can substitute a randomly assigned research ID for a hospital patient ID, remove the identifiers in the structured format, and mask them in the unstructured format, i.e., texts. The search tool can find the number of patients which satisfies given criteria. The chart review tool can provide de-identified patient's clinical data for review. We found that clinical data warehouse was essential for successful implementation of de-identification system, and this system should be tightly linked to an electronic institutional review board system for easy operation of honest brokers.

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Year:  2013        PMID: 23920818

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Longitudinal patterns and associated factors of postdiagnosis weight changes in Korean breast cancer survivors with normal body mass index.

Authors:  Yul Ha Min; Jong Won Lee; Il Yong Chung; Sei Hyun Ahn
Journal:  Support Care Cancer       Date:  2017-04-04       Impact factor: 3.603

  1 in total

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