Literature DB >> 36217861

Nonspecific deidentification of date-like text in deidentified clinical notes enables reidentification of dates.

Jes Alexander1, Alexis Beatty2.   

Abstract

To facilitate the secondary usage of electronic health record data for research, the University of California, San Francisco (UCSF) recently implemented a clinical data warehouse including, among other data, deidentified clinical notes and reports, which are available to UCSF researchers without Institutional Review Board approval. For deidentification of these notes, most of the Health Insurance Portability and Accountability Act identifiers are redacted, but dates are transformed by shifting all dates for a patient back by the same random number of days. We describe an issue in which nonspecific (ie, excess) transformation of nondate, date-like text by this deidentification process enables reidentification of all dates, including birthdates, for certain patients. This issue undercuts the common assumption that excess deidentification is a safe tradeoff to protect patient privacy. We present this issue as a caution to other institutions that may also be considering releasing deidentified notes for research.
© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  confidentiality; data anonymization; electronic health records; personally identifiable information; reidentification

Mesh:

Year:  2022        PMID: 36217861      PMCID: PMC9552287          DOI: 10.1093/jamia/ocac147

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   7.942


  9 in total

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Authors: 
Journal:  Fed Regist       Date:  2002-08-14

2.  Hiding in plain sight: use of realistic surrogates to reduce exposure of protected health information in clinical text.

Authors:  David Carrell; Bradley Malin; John Aberdeen; Samuel Bayer; Cheryl Clark; Ben Wellner; Lynette Hirschman
Journal:  J Am Med Inform Assoc       Date:  2012-07-06       Impact factor: 4.497

3.  HITECH Act Drove Large Gains In Hospital Electronic Health Record Adoption.

Authors:  Julia Adler-Milstein; Ashish K Jha
Journal:  Health Aff (Millwood)       Date:  2017-08-01       Impact factor: 6.301

Review 4.  Electronic Health Record-Enabled Research in Children Using the Electronic Health Record for Clinical Discovery.

Authors:  Scott M Sutherland; David C Kaelber; N Lance Downing; Veena V Goel; Christopher A Longhurst
Journal:  Pediatr Clin North Am       Date:  2016-04       Impact factor: 3.278

5.  Can physicians recognize their own patients in de-identified notes?

Authors:  Stéphane Meystre; Shuying Shen; Deborah Hofmann; Adi Gundlapalli
Journal:  Stud Health Technol Inform       Date:  2014

6.  A systematic review of re-identification attacks on health data.

Authors:  Khaled El Emam; Elizabeth Jonker; Luk Arbuckle; Bradley Malin
Journal:  PLoS One       Date:  2011-12-02       Impact factor: 3.240

7.  Understanding enterprise data warehouses to support clinical and translational research.

Authors:  Thomas R Campion; Catherine K Craven; David A Dorr; Boyd M Knosp
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 7.942

8.  Assessing and Minimizing Re-identification Risk in Research Data Derived from Health Care Records.

Authors:  Gregory E Simon; Susan M Shortreed; R Yates Coley; Robert B Penfold; Rebecca C Rossom; Beth E Waitzfelder; Katherine Sanchez; Frances L Lynch
Journal:  EGEMS (Wash DC)       Date:  2019-03-29

9.  Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes.

Authors:  Beau Norgeot; Kathleen Muenzen; Thomas A Peterson; Xuancheng Fan; Benjamin S Glicksberg; Gundolf Schenk; Eugenia Rutenberg; Boris Oskotsky; Marina Sirota; Jinoos Yazdany; Gabriela Schmajuk; Dana Ludwig; Theodore Goldstein; Atul J Butte
Journal:  NPJ Digit Med       Date:  2020-04-14
  9 in total

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