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Implementation of a Terminology Server with SNOMED CT in Graph Databases
Elizabeth Silva Layes1, Marcelo Bondarenco1, Daniel Machiavello1
1Health Informatics Department, Sociedad Médico Quirúrgica de Salto, Salto, Uruguay.
Studies in Health Technology and Informatics
|August 24, 2019
Summary
This study implemented a terminology server using SNOMED CT and graph databases for a Uruguayan health institution. The system offers intuitive access to clinical data for various healthcare applications.
Area of Science:
- Health Informatics
- Computer Science
Background:
- Healthcare institutions require robust terminology management systems.
- Leveraging standardized terminologies like SNOMED CT is crucial for data interoperability.
Purpose of the Study:
- To implement an intuitive terminology server at a health institution in Uruguay.
- To utilize SNOMED CT's comprehensive ontology within a graph database architecture.
- To provide a high-performance terminological service for clinical, statistical, management, decision support, and research purposes.
Main Methods:
- Architecture based on Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT).
- Implementation utilizing graph databases (NoSQL).
- Development focused on intuitive user interaction and efficient data retrieval.
Main Results:
- Successful implementation of a terminology server.
- Demonstrated utility for diverse healthcare applications.
- Achieved good performance in accessing and utilizing SNOMED CT ontology.
Conclusions:
- The developed terminology server effectively leverages SNOMED CT and graph databases.
- The system provides a valuable and performant resource for multiple healthcare domains.
- This implementation offers a model for enhancing health information management through advanced terminology services.
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