| Literature DB >> 21893816 |
Marc Cuggia1, Nicolas Garcelon, Boris Campillo-Gimenez, Thomas Bernicot, Jean-François Laurent, Etienne Garin, André Happe, Régis Duvauferrier.
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.Entities:
Mesh:
Year: 2011 PMID: 21893816
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630