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Preserving medical correctness, readability and consistency in de-identified health records

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1-13 (13 pages)

Journal (Volume, Issue Number)

Health Informatics Journal

Publication milestones

  • Published - 01/01/2016

Publication status

Published - 01/01/2016

ISSN

1460-4582

Publication IDs

  • Scopus: 85034637745

Abstract

A health record database contains structured data fields that identify the patient, such as patient ID, patient
name, e-mail and phone number. These data are fairly easy to de-identify, that is, replace with other
identifiers. However, these data also occur in fields with doctors’ free-text notes written in an abbreviated
style that cannot be analyzed grammatically. If we replace a word that looks like a name, but isn’t, we degrade
readability and medical correctness. If we fail to replace it when we should, we degrade confidentiality. We de-identified an existing Danish electronic health record database, ending up with 323,122 patient health records. We had to invent many methods for de-identifying potential identifiers in the free-text notes. The de-identified health records should be used with caution for statistical purposes because we removed health records that were so special that they couldn’t be de-identified. Furthermore, we distorted geography by replacing zip codes with random zip codes.

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