Roogle: An Information Retrieval Engine for Clinical Data Warehouse

Marc Cuggia, Nicolas Garcelon, Boris Campillo‐Gimenez, Thomas Bernicot, Étienne Garin

Studies in health technology and informatics · 2011 · 38 citations · 7 references

Concepts

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.

References

7