Roogle: an information retrieval engine for clinical data warehouse

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

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Computer Systems
  • Hospital Information Systems*
  • Humans
  • Information Storage and Retrieval / methods*
  • Language
  • Medical Informatics / methods*
  • Medical Records Systems, Computerized
  • Natural Language Processing
  • Program Development
  • Reproducibility of Results
  • Semantics
  • Software
  • User-Computer Interface