{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,17]],"date-time":"2025-05-17T04:04:30Z","timestamp":1747454670901,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685960","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,15]]},"abstract":"<jats:p>Biomedical research depends on collecting, analyzing, and sharing of data while protecting patient or study participant privacy. Laws such as the European Union\u2019s General Data Protection Regulation recommend pseudonymization, which provides a mechanism to protect privacy by replacing personally identifiable information with pseudonyms. We present a comparative analysis of pseudonymization algorithms categorized into encryption-, hash-, counter-, and randomness-based methods, structured along eight key axes such as pseudonym length, complexity, and suitability for automation or manual transmission. This analysis highlights the strengths and limitations of each method, assisting researchers in making informed decisions about pseudonymization for health data.<\/jats:p>","DOI":"10.3233\/shti250458","type":"book-chapter","created":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:57:29Z","timestamp":1747385849000},"source":"Crossref","is-referenced-by-count":0,"title":["Systematization of Pseudonymization Algorithms for Health Data"],"prefix":"10.3233","author":[{"given":"Armin","family":"M\u00fcller","sequence":"first","affiliation":[{"name":"Medical Informatics Group, Center of Health Data Sciences, Berlin Institute of Health at Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabian","family":"Prasser","sequence":"additional","affiliation":[{"name":"Medical Informatics Group, Center of Health Data Sciences, Berlin Institute of Health at Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Intelligent Health Systems \u2013 From Technology to Data and Knowledge"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250458","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:57:30Z","timestamp":1747385850000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250458"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,15]]},"ISBN":["9781643685960"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250458","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,15]]}}}