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SNOMED CT revisions and coded data repositories: when to upgrade?
1New York State Center of Excellence in Bioinformatics, University at Buffalo, Buffalo, NY, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|December 24, 2011
Summary
Organizations using SNOMED CT can now assess upgrade value using two automated indicators: ontology information content evolution and suspicious event persistence. These metrics help determine if migrating to a new version is worthwhile, saving labor-intensive efforts.
Area of Science:
- Medical Informatics
- Ontology Engineering
- Health Terminology Management
Background:
- SNOMED CT is increasingly adopted in electronic health systems.
- Regular six-month revisions necessitate synchronization strategies.
- Upgrading SNOMED CT versions can be labor-intensive for organizations.
Purpose of the Study:
- To propose automated indicators for assessing SNOMED CT upgrade value.
- To provide a data-driven approach for version migration decisions.
- To reduce the manual effort associated with SNOMED CT updates.
Main Methods:
- Calculating the evolution of global information content across SNOMED CT versions.
- Monitoring the perseverance of suspicious events in SNOMED CT.
- Statistically analyzing the independence of the two proposed indicators.
- Correlating indicator trend breaks with a realism-based quality metric.
Main Results:
- Two statistically unrelated indicators for upgrade assessment were developed.
- Trend breaks in indicator evolution predict potential upgrade benefits.
- The indicators show good predictive power correlating with quality metrics.
- Automated computation is feasible upon new version release.
Conclusions:
- The proposed indicators offer an objective method to evaluate SNOMED CT upgrades.
- Automated assessment can guide organizations in timely and beneficial version migration.
- This approach supports efficient maintenance of electronic health systems using SNOMED CT.
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