Publication
Title
PASTEL : a semantic platform for assisted clinical trial patient recruitment
Author
Abstract
Clinical trial recruitment encompasses many challenging tasks. Chief amongst those is the fast and reliable recruitment of eligible participants for the study. Much of this selection is still performed manually, despite the possibility of missing eligible patients (up to 60% according to some studies). To mitigate this issue, a Topic Maps-based semantic platform was developed at the Antwerp University Hospital to assist in the recruitment of clinical trial participants from the full patient population. The platform consists of (1) a Web-based editor for the creation of ontology-based clinical trial representations, (2) a patient evaluator that connects to structured and unstructured hospital data sources to determine eligibility for a clinical trial, and (3) a Web-based analytics module for reviewing evaluation results. The semantic nature of the clinical trial representation allows for generic formalization as well as for local adaptation of the study protocol to accommodate a specific hospital IT infrastructure.
Language
English
Source (book)
2013 IEEE International Conference on Healthcare Informatics (ICHI)
Publication
S.l. : IEEE, 2013
Volume/pages
p. 269-276
ISI
000332894400033
Number
978-0-7695-5089-3
Full text (Publishers DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 30.01.2015
Last edited 20.05.2017
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