Crique: A System for Automatic Extraction and Formalization of Eligibility Criteria for Clinical Trials
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Defining formal and structured eligibility criteria for digital recruitment assistant systems can be a challenging interdisciplinary task requiring collaboration between technical and clinical experts. We introduce crique, a free and open source software capable of extracting formal eligibility criteria definitions from study protocols. The extracted eligibility criteria can be exported to OHDSI Atlas and used in conjunction with the standardized OMOP common data model. In this paper, we present our modular process for the extraction of eligibility criteria, describe our implementation in detail, and show examples of extracted eligibility criteria. We conclude with challenges and propose a strategy to evaluate the accuracy of extracted criteria using our software.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | Opening the Personal Gate between Technology and Health Care |
| Redakteure/-innen | Maria Hagglund, Lars Lindskold, Lenka Lhotska, Sara Marceglia, Enea Parimbelli, Lucia Sacchi, Paolo Soda, Lacramioara Stoicu-Tivadar, Pierangelo Veltri, Patrizia Vizza, Mauro Giacomini, Jaime Delgado, Theodoros N. Arvanitis, Elisavet Andrikopoulou, Arriel Benis, Gabriella Balestra, Riccardo Bellazzi, Parisis G. Gallos, Roberto Gatta, Daniele Roberto Giacobbe, Noemi Giordano |
| Seiten | 804-808 |
| Seitenumfang | 5 |
| ISBN (elektronisch) | 978-1-64368-661-5 |
| Publikationsstatus | Veröffentlicht - 21 Mai 2026 |
| Peer-Review-Status | Ja |
Publikationsreihe
| Reihe | Studies in health technology and informatics |
|---|---|
| Band | 336 |
| ISSN | 0926-9630 |
Externe IDs
| Scopus | 105039957482 |
|---|---|
| ORCID | /0000-0002-5002-2676/work/228961604 |
| ORCID | /0000-0002-7609-1565/work/228962069 |
Schlagworte
Schlagwörter
- Clinical Trials as Topic/methods, Eligibility Determination/methods, Humans, Patient Selection, Software