1. Supporting patient screening to identify suitable clinical trials.
- Author
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Bucur A, Van Leeuwen J, Chen NZ, Claerhout B, De Schepper K, Perez-Rey D, Alonso-Calvo R, Pugliano L, and Saini K
- Subjects
- Breast Neoplasms diagnosis, Europe, Female, Humans, Medical Records Systems, Computerized classification, Semantics, Vocabulary, Controlled, Breast Neoplasms therapy, Clinical Trials as Topic methods, Data Mining methods, Eligibility Determination methods, Medical Records Systems, Computerized organization & administration, Natural Language Processing, Patient Selection
- 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.
- Published
- 2014