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Pattern-based Search of Epigenomic Data Using GeNemo

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Evaluating the Performance of a Terminology Search Engine Using Historical Data.

José Castaño¹, Hee Park¹, Pilar Ávila¹

¹Departamento de Informática en Salud, Hospital Italiano, Buenos Aires, Argentina.

Studies in Health Technology and Informatics

|August 24, 2019

Summary

This study evaluates a search engine for noisy Spanish clinical terms in electronic health records (EHR). It improves search performance using historical data and SNOMED CT extensions.

Keywords:

Electronic health records Search engine Systematized nomenclature of medicine

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Area of Science:

Medical Informatics
Natural Language Processing
Clinical Terminology

Background:

Clinical terms in electronic health records (EHR) are often noisy and in Spanish.
Effective retrieval of clinical information is crucial for patient care and research.

Purpose of the Study:

To evaluate a terminology search engine designed for noisy Spanish clinical terms.
To assess an approach utilizing historical clinical term data.
To improve the performance of clinical term search within EHR systems.

Main Methods:

Evaluation of a search engine extending SNOMED CT.
Utilizing historical clinical term data for analysis.
Measuring search engine precision and recall using historical search data.

Main Results:

Demonstrated methods for measuring precision and recall with historical search data.
Showcased significant performance improvements in the search engine.
Highlighted the effectiveness of leveraging available search engine technology.

Conclusions:

The developed search engine effectively handles noisy Spanish clinical terms.
Historical data significantly enhances the performance of clinical terminology search.
The approach offers a viable solution for improving information retrieval in EHRs.