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Supporting Patient Screening to Identify Suitable Clinical Trials.

Authors :
BUCUR, Anca
VAN LEEUWEN, Jasper
CHEN, Njin-Zu
CLAERHOUT, Brecht
DE SCHEPPER, Kristof
PEREZ-REY, David
ALONSO-CALVO, Raul
PUGLIANO, Lina
SAINI, Kamal
Source :
Studies in Health Technology & Informatics; 2014, Vol. 205, p823-827, 5p
Publication Year :
2014

Abstract

To support the efficient execution of post-genomic multi-centric clinical trials in breast cancer we propose a solution that streamlines the assessment of the eligibility of patients for available trials. The assessment of the eligibility of a patient for a trial requires evaluating whether each eligibility criterion is satisfied and is often a time consuming and manual task. The main focus in the literature has been on proposing different methods for modelling and formalizing the eligibility criteria. However the current adoption of these approaches in clinical care is limited. Less effort has been dedicated to the automatic matching of criteria to the patient data managed in clinical care. We address both aspects and propose a scalable, efficient and pragmatic patient screening solution enabling automatic evaluation of eligibility of patients for a relevant set of trials. This covers the flexible formalization of criteria and of other relevant trial metadata and the efficient management of these representations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269630
Volume :
205
Database :
Complementary Index
Journal :
Studies in Health Technology & Informatics
Publication Type :
Academic Journal
Accession number :
116234695
Full Text :
https://doi.org/10.3233/978-1-61499-432-9-823