Preserving Privacy when Querying OMOP CDM Databases...European Federation for Medical Informatics (EFMI) Special Topic Conference (STC), September 7–8, 2022, Cardiff, Wales
Anonymisation is currently one of the biggest challenges when sharing sensitive personal information. Its importance depends largely on the application domain, but when dealing with health information, this becomes a more serious issue. A simpler approach to avoid inadequate disclosure is to ensure...
| Publicado en: | Studies in Health Technology & Informatics Vol. 298; pp. 163 - 165 |
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| Autores principales: | , , |
| Formato: | abstract proceedings research Journal Article |
| Publicado: |
Sage Publications Inc.
2022
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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=158975246&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158975246 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2022 vid: 298 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 158975246 158975246 158975246 10.3233/SHTI220930 158975246 ppf: 163 ppct: 2 formats: tig: atl: Preserving Privacy when Querying OMOP CDM Databases...European Federation for Medical Informatics (EFMI) Special Topic Conference (STC), September 7–8, 2022, Cardiff, Wales aug: au: ALMEIDA, Joao Rafael BARRACA, Joao Paulo OLIVEIRA, José Luís affil: DETI/IEETA, University of Aveiro, Portugal sug: subj: Data Security Privacy and Confidentiality Health Information Congresses and Conferences Wales Wales Human Nonexperimental Studies Ontologies Funding Source ab: Anonymisation is currently one of the biggest challenges when sharing sensitive personal information. Its importance depends largely on the application domain, but when dealing with health information, this becomes a more serious issue. A simpler approach to avoid inadequate disclosure is to ensure that all data that can be associated directly with an individual is removed from the original dataset. However, some studies have shown that simple anonymisation procedures can sometimes be reverted using specific patients' characteristics. In this work, we propose a secure architecture to share information from distributed databases without compromising the subjects' privacy. The anonymiser system was validated using the OMOP CDM data schema, which is widely adopted in observational research studies. pubtype: Academic Journal doctype: abstract proceedings research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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