{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T22:38:04Z","timestamp":1779403084584,"version":"3.53.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686615","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T00:00:00Z","timestamp":1779321600000},"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":[[2026,5,21]]},"abstract":"<jats:p>Implementing patient-trial matching during Clinical Trials (CT) execution requires a time consuming and usually manual processing of eligibility criteria (EC) focusing on those that are both the most relevant at the pre-inclusion step and the most computable using Electronic Health Records data. The aim of this study is to design an ontology-based data dictionary for standardizing EC to support patient eligibility determination. We previously decomposed manually free text EC from 51 CT into data elements to be considered at the prescreening step to build the PENELOPE data dictionary. We aligned this dictionary to an existing common data model and ontology developed within the EUCAIM (Europe CAncer IMage) project. Results: A total of 100 data elements DE were captured in the alignment framework including 10 DE with direct match between PENELOPE and EUCAIM data models and 74 with partial match with syntactic or semantic gaps. Three DE were present only in PENELOPE and 13 only in EUCAIM. The structure of the PENELOPE data dictionary has been revised and its semantic content enriched with 292 concepts of the EUCAIM ontology that were relevant for prescreening. This study provides an ontology-based enrichment of the PENELOPE data dictionary used to represent prescreening-oriented EC from CT protocols ensuring the scalability of the PENELOPE prescreening use case beyond the 51 CT initially considered.<\/jats:p>","DOI":"10.3233\/shti260160","type":"book-chapter","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T21:56:57Z","timestamp":1779400617000},"source":"Crossref","is-referenced-by-count":0,"title":["Reuse of EUCAIM Ontology for Prescreening Use Case"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-9690-2863","authenticated-orcid":false,"given":"Morgan","family":"Vaterkowski","sequence":"first","affiliation":[{"name":"Sorbonne Universit\u00e9, INSERM, Universit\u00e9 Sorbonne Paris-Nord, Laboratoire d\u2019informatique m\u00e9dicale et d\u2019ing\u00e9nierie des connaissances en e-sant\u00e9, LIMICS, 75006 Paris, France"},{"name":"Clinical Science and Operations, Sanofi Research and Development, Gentilly, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6341-3847","authenticated-orcid":false,"given":"Mirna","family":"El Ghosh","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, INSERM, Universit\u00e9 Sorbonne Paris-Nord, Laboratoire d\u2019informatique m\u00e9dicale et d\u2019ing\u00e9nierie des connaissances en e-sant\u00e9, LIMICS, 75006 Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3046-5057","authenticated-orcid":false,"given":"Nadir","family":"Ammour","sequence":"additional","affiliation":[{"name":"Clinical Science and Operations, Sanofi Research and Development, Gentilly, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1878-0290","authenticated-orcid":false,"given":"Laure","family":"Fournier","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Paris Cit\u00e9, AP-HP, H\u00f4pital Europ\u00e9en Georges Pompidou, Department of Radiology, PARCC UMRS 970, INSERM, 75015 Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9285-1966","authenticated-orcid":false,"given":"Emmanuelle","family":"Kempf","sequence":"additional","affiliation":[{"name":"Paris Est Cr\u00e9teil University, Assistance Publique - H\u00f4pitaux de Paris, Henri Mondor Teaching Hospital, Department of Medical Oncology, Cr\u00e9teil, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7938-8156","authenticated-orcid":false,"given":"Christel","family":"Daniel","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, INSERM, Universit\u00e9 Sorbonne Paris-Nord, Laboratoire d\u2019informatique m\u00e9dicale et d\u2019ing\u00e9nierie des connaissances en e-sant\u00e9, LIMICS, 75006 Paris, France"},{"name":"Assistance Publique - H\u00f4pitaux de Paris, Henri Mondor Teaching Hospital, Department of Medical Information, Cr\u00e9teil, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Opening the Personal Gate between Technology and Health Care"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260160","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T21:56:58Z","timestamp":1779400618000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260160"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,21]]},"ISBN":["9781643686615"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260160","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,21]]}}}