Towards semantic search and inference in electronic medical records: An approach using concept--based information retrieval

Background

This paper presents a novel approach to searching electronic medical records that is based on concept matching rather than keyword matching.

Aim

The concept-based approach is intended to overcome specific challenges we identified in searching medical records.

Method

Queries and documents were transformed from their term-based originals into medical concepts as defined by the SNOMED-CT ontology.

Results

Evaluation on a real-world collection of medical records showed our concept-based approach outperformed a keyword baseline by 25% in Mean Average Precision.

Conclusion

The concept-based approach provides a framework for further development of inference based search systems for dealing with medical data.