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A full-text information retrieval system for an epidemiological registry.
Marc Cuggia1, Sahar Bayat, Nicolas Garcelon
1Unité Inserm U936, IFR 140, Faculté de Médecine, University of Rennes 1, France. marc.cuggia@univ-rennes1.fr
Studies in Health Technology and Informatics
|September 16, 2010
Summary
This study introduces a search engine to find cases for pediatric registries, improving on manual methods. The tool efficiently identifies congenital anomalies like spina bifida and hypospadias using clinical documents.
Area of Science:
- Medical Informatics
- Public Health
- Clinical Epidemiology
Background:
- Case finding for epidemiologic registries traditionally relies on manual processes.
- Manual case identification is time-consuming and potentially inefficient for large datasets.
Purpose of the Study:
- To evaluate retrieval information tools as a complementary method for identifying cases for a pediatric malformation registry.
- To develop and assess a full-text and metadata search engine for automated case finding.
Main Methods:
- Developed a search engine integrated with a clinical documents repository.
- Utilized Snomed terminologies to enrich search queries for identifying spina bifida and ep/hypospadias cases.
- Compared the prototype's performance against the hospital's Diagnosis-Related Group (DRG) database.
Main Results:
- The prototype achieved high precision rates: 73% for spina bifida and 87% for ep/hypospadias.
- Significant overlap with the DRG system was observed (83% and 97%).
- The system identified 13 previously unreferenced and 2 miscoded cases compared to the DRG method.
Conclusions:
- A free full-text retrieval system can efficiently supplement manual case finding for epidemiologic registries.
- This approach enables effective reuse of clinical documents for identifying pediatric malformations.
- The developed prototype demonstrates a promising alternative to traditional case-finding methods.
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