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Pseudonymisation of Swedish Electronic Patient Records Using a Rule-based Approach
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2019 (English)In: Proceedings of the Workshop on NLP and Pseudonymisation / [ed] Lars Ahrenberg, Beáta Megyesi, Linköping: Linköping University Electronic Press, 2019, p. 16-23Conference paper, Published paper (Refereed)
Abstract [en]

This study describes a rule-based pseudonymisation system for Swedish clinical text and its evaluation. The pseudonymisation system replaces already tagged Protected Health Information (PHI) with realistic surrogates. There are eight types of manually annotated PHIs in the electronic patient records; personal first and last names, phone numbers, locations, dates, ages and healthcare units. Two evaluators, both computer scientists, one junior and one senior, evaluated whether a set of 98 electronic patients records where pseudonymised or not. Only 3.5 percent of the records were correctly judged as pseudonymised and 1.5 percent of the real ones were wrongly judged as pseudo, giving that in average 91 percent of the pseudonymised records were judged as real.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2019. p. 16-23
Series
Linköping electronic conference proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 166
Keywords [en]
Electronic patient records, Swedish, pseudonymisation
National Category
Language Technology (Computational Linguistics)
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-177728ISBN: 978-91-7929-996-5 (print)OAI: oai:DiVA.org:su-177728DiVA, id: diva2:1383326
Conference
22nd Nordic Conference on Computational Linguistics (NoDaLiDa), Turku, Finland, September 30 - October 2, 2019
Available from: 2020-01-07 Created: 2020-01-07 Last updated: 2020-01-15Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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