Roogle: An Information Retrieval Engine for Clinical Data Warehouse

نویسندگان

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

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.

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عنوان ژورنال:
  • Studies in health technology and informatics

دوره 169  شماره 

صفحات  -

تاریخ انتشار 2011