Pseudonymization Algorithms for Medical Research: Adoption and Trends...20th World Congress on Medical and Health Informatics (MEDINFO), August 9-13, 2025, Taipei, Taiwan
Pseudonymization is essential for protecting patient privacy in medical research. This paper analyzes pseudonymization algorithms used by common tools employed in medical research in terms of their usage and their development over time. To this, we analyzed documentation, publications, and other ava...
| Publicado en: | Studies in Health Technology & Informatics Vol. 329; pp. 214 - 219 |
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| Autores principales: | , , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187334850&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187334850 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2025 vid: 329 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 187334850 187334850 187334850 10.3233/SHTI250832 187334850 ppf: 214 ppct: 5 formats: tig: atl: Pseudonymization Algorithms for Medical Research: Adoption and Trends...20th World Congress on Medical and Health Informatics (MEDINFO), August 9-13, 2025, Taipei, Taiwan aug: au: ABU ATTIEH, Hammam MÜLLER, Armin PRASSER, Fabian affil: Medical Informatics Group, Center of Health Data Sciences, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany sug: subj: Data Security Algorithms Evaluation Research, Medical Algorithms Trends Congresses and Conferences Taiwan Taiwan Human Funding Source Documentation Evaluation Publishing Evaluation Encryption World Wide Web Algorithms Classification Software Data Communications ab: Pseudonymization is essential for protecting patient privacy in medical research. This paper analyzes pseudonymization algorithms used by common tools employed in medical research in terms of their usage and their development over time. To this, we analyzed documentation, publications, and other available sources, collecting information on algorithms and development timelines. Our findings indicate an evolution from basic encryption and hashing methods to combined and configurable approaches. Recent trends show that flexible solutions that integrate multiple algorithms are becoming increasingly more available. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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