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Roogle: an information retrieval engine for clinical data warehouse.

作者信息

Cuggia Marc, Garcelon Nicolas, Campillo-Gimenez Boris, Bernicot Thomas, Laurent Jean-François, Garin Etienne, Happe André, Duvauferrier Régis

机构信息

UMR 936 Inserm, Faculté de Médicine de Rennes, France.

出版信息

Stud Health Technol Inform. 2011;169:584-8.


DOI:
PMID:21893816
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.

摘要

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