title: Cohort Selection and Management Application Leveraging Standards-based Semantic Interoperability and a Groovy DSL.
abstract: This paper describes a new Cohort Selection application implemented to support streamlining the definition phase of multi-centric clinical research in oncology. Our approach aims at both ease of use and precision in defining the selection filters expressing the characteristics of the desired population. The application leverages our standards-based Semantic Interoperability Solution and a Groovy DSL to provide high expressiveness in the definition of filters and flexibility in their composition into complex selection graphs including splits and merges. Widely-adopted ontologies such as SNOMED-CT are used to represent the semantics of the data and to express concepts in the application filters, facilitating data sharing and collaboration on joint research questions in large communities of clinical users. The application supports patient data exploration and efficient collaboration in multi-site, heterogeneous and distributed data environments.
authors: Philips Research Europe, Netherlands;
authors: Anca
authors: A
authors: Bucur
authors: Philips Research Europe, Netherlands;
authors: Jasper
authors: J
authors: van Leeuwen
authors: Philips Research Europe, Netherlands;
authors: Njin-Zu
authors: NZ
authors: Chen
authors: Custodix NV, Belgium;
authors: Brecht
authors: B
authors: Claerhout
authors: Custodix NV, Belgium;
authors: Kristof
authors: K
authors: de Schepper
authors: Universidad Politécnica de Madrid, Spain;
authors: David
authors: D
authors: Perez-Rey
authors: Universidad Politécnica de Madrid, Spain;
authors: Sergio
authors: S
authors: Paraiso-Medina
authors: Universidad Politécnica de Madrid, Spain;
authors: Raul
authors: R
authors: Alonso-Calvo
authors: German Breast Group, Germany;
authors: Keyur
authors: K
authors: Mehta
authors: Jules Bordet Institute, Belgium.
authors: Cyril
authors: C
authors: Krykwinski