ArticleJournal of biomedical informatics2009
The impact of SNOMED CT revisions on a mapped interface terminology: terminology development and implementation issues.
Article in Journal of biomedical informatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients.BMC medical informatics and decision making · 2023Article
- Utilization and Validity of the Dental Diagnostic System over Time in Academic and Private Practice.JDR clinical and translational research · 2019Article
- SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets.JMIR medical informatics · 2019Article
- Literature review of SNOMED CT use.Journal of the American Medical Informatics Association : JAMIA · 2014Review
- Implementing an interface terminology for structured clinical documentation.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- A survey of SNOMED CT implementations.Journal of biomedical informatics · 2013Article
- Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.Journal of biomedical informatics · 2012Review
- Using SNOMED-CT to encode summary level data - a corpus analysis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2012Article
- Integrated Multilevel Surveillance of the World's Infecting Microbes and Their Resistance to Antimicrobial Agents.Clinical microbiology reviews · 2011Review
- Implementing SNOMED CT for Quality Reporting: Avoiding Pitfalls.Applied clinical informatics · 2011Article
- SNOMED CT revisions and coded data repositories: when to upgrade?AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011Article
- Biomedical informatics and translational medicine.Journal of translational medicine · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Large-scale mapping efforts have been done in attempts to migrate systems that use proprietary concepts to ones that use terminological standards such as SNOMED CT. As efforts move towards implementation, the target maps should retain a predictable structure including those targets requiring post-coordination of SNOMED CT concepts. In this paper, we compared the editorial guidelines of two versions of SNOMED CT (January 2005 and July 2006, respectively) and noted how the revisions affected a single, comprehensive set of mapped concepts (n=2002) from a legacy system. Changes made to the categories and guidelines for approved attributes were noted and then evaluated against the post-coordinated maps (n=1570) from the original mapping effort. Seventy-one percent (n=1118) of the concepts were affected due to changes made in either SNOMED CT categories or to the revision of approved attributes. While the efforts of each subsequent SNOMED CT version aim for continual improvement, changes made to its core structure and post-coordination guidelines make it more difficult to migrate proprietary data to this reference standard. Attention must be paid to auditing the processes used in terminology development to include the impact that their revisions may have on real-world clinical implementation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.