Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Supporting patient screening to identify suitable clinical trials.
Year:2014
Research Areas
  • Biomedicine,
  • Information technology and adata processing
Information
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.
International
Si
Congress
Stud Health Technol Inform
960
Place
Reviewers
Si
ISBN/ISSN
978-1-61499-431-2
10.3233/978-1-61499-432-9-823
Start Date
31/08/2014
End Date
03/09/2014
From page
823
To page
823
Studies in Health Technology and Informatics
Participants
  • Autor: David Perez Del Rey (UPM)
  • Autor: Raul Alonso Calvo (UPM)
  • Autor: Anca BUCUR
  • Autor: Jasper VAN LEEUWEN
  • Autor: Njin-Zu CHEN
  • Autor: Brecht CLAERHOUT
  • Autor: Kristof DE SCHEPPER
  • Autor: Lina PUGLIANO
  • Autor: Kamal SAINI
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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