Privacy-Preserving Search on Medical Data...Medical Informatics Europe (MIE) 34th Conference, August 25–29, 2024, Athens, Greece.
Data sharing spaces for medical data are necessary to facilitate research. To make medical data available for research, a mechanism is preferable that not only provides data a researcher has legal access to, but also contributes to the investigation of their specific research hypothesis. We propose...
| Publicado en: | Studies in Health Technology & Informatics Vol. 316; pp. 252 - 257 |
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| Autores principales: | , , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2024
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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=179286228&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179286228 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2024 vid: 316 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 179286228 179286228 179286228 10.3233/SHTI240392 179286228 ppf: 252 ppct: 5 formats: tig: atl: Privacy-Preserving Search on Medical Data...Medical Informatics Europe (MIE) 34th Conference, August 25–29, 2024, Athens, Greece. aug: au: HERRES, Britta POSCHEN, Carolin KNORR, Konstantin affil: Department of Computer Science, Trier University of Applied Sciences, Trier, Germany. sug: subj: Privacy and Confidentiality Data Security Information Retrieval Electronic Health Records Access to Information Congresses and Conferences Greece Greece Human Funding Source Research Personnel Hypothesis Patient Satisfaction Hospital Information Systems Data Management Medical Informatics Algorithms Information Storage ab: Data sharing spaces for medical data are necessary to facilitate research. To make medical data available for research, a mechanism is preferable that not only provides data a researcher has legal access to, but also contributes to the investigation of their specific research hypothesis. We propose a three-party twostage search algorithm initiated by a researcher on centrally stored but technically and organizationally separated data. The search seeks to minimize the risk of reidentification of patients and to enable data minimization. In the first stage, we only access data IDs of patients meeting the cohort criteria. In the second stage, the actual data is downloaded if the set of matching patients satisfies the minimum cohort size. Our approach is privacy preserving, as only the researcher is able to connect medical and demographic data, while no single malicious party can get data access. We thereby hope to pave the way for a privacy-aware health data sharing space as currently proposed by the EU. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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