title: Supporting patient screening to identify suitable clinical trials.
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.
authors.affiliation: Philips Research Europe, The Netherlands.
authors.forename: Anca
authors.initials: A
authors.lastname: Bucur
authors.affiliation: Philips Research Europe, The Netherlands.
authors.forename: Jasper
authors.initials: J
authors.lastname: Van Leeuwen
authors.affiliation: Philips Research Europe, The Netherlands.
authors.forename: Njin-Zu
authors.initials: NZ
authors.lastname: Chen
authors.affiliation: Custodix NV, Belgium.
authors.forename: Brecht
authors.initials: B
authors.lastname: Claerhout
authors.affiliation: Custodix NV, Belgium.
authors.forename: Kristof
authors.initials: K
authors.lastname: De Schepper
authors.affiliation: Grupo de Informática Biomédica, Universidad Politécnica de Madrid, Spain.
authors.forename: David
authors.initials: D
authors.lastname: Perez-Rey
authors.affiliation: Grupo de Informática Biomédica, Universidad Politécnica de Madrid, Spain.
authors.forename: Raul
authors.initials: R
authors.lastname: Alonso-Calvo
authors.affiliation: The Breast International Group, Belgium.
authors.forename: Lina
authors.initials: L
authors.lastname: Pugliano
authors.affiliation: The Breast International Group, Belgium.
authors.forename: Kamal
authors.initials: K
authors.lastname: Saini
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis / Q000628:therapy*; D002986:Clinical Trials as Topic / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D004608:Eligibility Determination / Q000379:methods*; D005060:Europe; D005260:Female; D006801:Humans; D016347:Medical Records Systems, Computerized / Q000145:classification / Q000458:organization & administration*; D009323:Natural Language Processing; D018579:Patient Selection; D012660:Semantics; D018875:Vocabulary, Controlled