title: Roogle: an information retrieval engine for clinical data warehouse.
abstract: High amount of relevant information is contained in reports stored in the electronic patient records and associated metadata. R-oogle is a project aiming at developing information retrieval engines adapted to these reports and designed for clinicians. The system consists in a data warehouse (full-text reports and structured data) imported from two different hospital information systems. Information retrieval is performed using metadata-based semantic and full-text search methods (as Google). Applications may be biomarkers identification in a translational approach, search of specific cases, and constitution of cohorts, professional practice evaluation, and quality control assessment.
authors: UMR 936 Inserm, Faculté de Médicine de Rennes, France.
authors: Marc
authors: M
authors: Cuggia
authors: Nicolas
authors: N
authors: Garcelon
authors: Boris
authors: B
authors: Campillo-Gimenez
authors: Thomas
authors: T
authors: Bernicot
authors: Jean-François
authors: JF
authors: Laurent
authors: Etienne
authors: E
authors: Garin
authors: André
authors: A
authors: Happe
authors: Régis
authors: R
authors: Duvauferrier
mesh_terms: D000465:Algorithms; D003199:Computer Systems; D006751:Hospital Information Systems; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D007802:Language; D008490:Medical Informatics / Q000379:methods*; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D016730:Program Development; D015203:Reproducibility of Results; D012660:Semantics; D012984:Software; D014584:User-Computer Interface