De-identification of free text data containing personal health information: a scoping review of reviews.

Journal: International journal of population data science
PMID: 38414537

Abstract

INTRODUCTION: Using data in research often requires that the data first be de-identified, particularly in the case of health data, which often include Personal Identifiable Information (PII) and/or Personal Health Identifying Information (PHII). There are established procedures for de-identifying structured data, but de-identifying clinical notes, electronic health records, and other records that include free text data is more complex. Several different ways to achieve this are documented in the literature. This scoping review identifies categories of de-identification methods that can be used for free text data.

Authors

  • Bekelu Negash
    Manitoba Centre for Health Policy, Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba.
  • Alan Katz
    Manitoba Centre for Health Policy, Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba.
  • Christine J Neilson
    Neil John Maclean Health Sciences Library, University of Manitoba.
  • Moniruzzaman Moni
    George & Fay Yee Centre for Healthcare Innovation, Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba.
  • Marcello Nesca
    Manitoba Centre for Health Policy, Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba.
  • Alexander Singer
    Department of Family Medicine, Rady Faculty of Health Sciences, University of Manitoba.
  • Jennifer E Enns
    Manitoba Centre for Health Policy, Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba.

Keywords

External Resources

Popular Topics
Recent Journals