Supporting patient screening to identify suitable clinical trials.

Bucur, Anca and Van Leeuwen, Jasper and Chen, Njin-zu and Claerhout, Brecht and De Schepper, Kristof and Pérez del Rey, David and Alonso Calvo, Raul and Pugliano, Lin and Saini, Kamal (2014). Supporting patient screening to identify suitable clinical trials.. In: "25th European Medical Informatics Conference", 31 Aug-03 Sep 2014, Estambul, Turquía. ISBN 978-1-61499-431-2. p. 823.

Description

Title: Supporting patient screening to identify suitable clinical trials.
Author/s:
  • Bucur, Anca
  • Van Leeuwen, Jasper
  • Chen, Njin-zu
  • Claerhout, Brecht
  • De Schepper, Kristof
  • Pérez del Rey, David
  • Alonso Calvo, Raul
  • Pugliano, Lin
  • Saini, Kamal
Item Type: Presentation at Congress or Conference (Article)
Event Title: 25th European Medical Informatics Conference
Event Dates: 31 Aug-03 Sep 2014
Event Location: Estambul, Turquía
Title of Book: eHealth – For Continuity of Care
Date: 2014
ISBN: 978-1-61499-431-2
Volume: 205
Subjects:
Freetext Keywords: Clinical trials; Trial metadata; Eligibility criteria matching; Semantic interoperability; Healthcare standards; HL7 RIM; BRIDG; SNOMED-CT
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 36424
DC Identifier: http://oa.upm.es/36424/
OAI Identifier: oai:oa.upm.es:36424
Official URL: http://www.iospress.nl/book/ehealth-for-continuity-of-care/
Deposited by: Memoria Investigacion
Deposited on: 14 Mar 2016 15:34
Last Modified: 16 Nov 2017 09:58
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