Supporting patient screening to identify suitable clinical trials.

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

Descripción

Título: Supporting patient screening to identify suitable clinical trials.
Autor/es:
  • Bucur, Anca
  • Van Leeuwen, Jasper
  • Chen, Njin-zu
  • Claerhout, Brecht
  • De Schepper, Kristof
  • Pérez del Rey, David
  • Alonso Calvo, Raul
  • Pugliano, Lin
  • Saini, Kamal
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 25th European Medical Informatics Conference
Fechas del Evento: 31 Aug-03 Sep 2014
Lugar del Evento: Estambul, Turquía
Título del Libro: eHealth – For Continuity of Care
Fecha: 2014
ISBN: 978-1-61499-431-2
Volumen: 205
Materias:
Palabras Clave Informales: Clinical trials; Trial metadata; Eligibility criteria matching; Semantic interoperability; Healthcare standards; HL7 RIM; BRIDG; SNOMED-CT
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 36424
Identificador DC: http://oa.upm.es/36424/
Identificador OAI: oai:oa.upm.es:36424
URL Oficial: http://www.iospress.nl/book/ehealth-for-continuity-of-care/
Depositado por: Memoria Investigacion
Depositado el: 14 Mar 2016 15:34
Ultima Modificación: 16 Nov 2017 09:58
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