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Pseudonymisation of Personal Names and other PHIs in an Annotated Clinical Swedish Corpus
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- Alfalahi, Alyaa (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Brissman, Sara (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Dalianis, Hercules (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
- (creator_code:org_t)
- 2012
- 2012
- English.
- In: LREC 2012, Eighth International Conference on Language Resources and Evaluation. - 9782951740877
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- Today a large number of patient records are produced and these records contain valuable information, often in free text, about the medical treatment of patients. Since these records contain information that can reveal the identity of patients, known as protected health information (PHI), the records cannot easily be made available for the research community. In this research we have used a PHI annotated clinical corpora, written in Swedish, that we have pseudonymised. Pseudonymisation means to replace the sensitive information with fictive information for example real personal names are replaced with fictive personal names based on the gender of the real names and family relations. We have evaluated our results and our five respondents of who three were clinicians found that the clinical text looks real and is readable. We have also added pseudonymisation for telephone numbers, locations, health care units, dates and ages. In this paper we also present the entire de-identification and pseudonymisation process of a sample clinical text.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Keyword
- Protected Health Information PHI
- Electronic Patient Records EPRs
- De-identification
- Pseudonym
- Swedish.
- Computer and Systems Sciences
- data- och systemvetenskap
Publication and Content Type
- ref (subject category)
- kon (subject category)
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