ArticleYearbook of medical informatics2018
Recent Developments in Clinical Terminologies - SNOMED CT, LOINC, and RxNorm.
Article in Yearbook of medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 2 of them syntheses that pooled it.
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Who cites it
74 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Findings from the 2019 International Medical Informatics Association Yearbook Section on Health Information Management.Yearbook of medical informatics · 2019Pooled it
- Evaluation of Research Accessibility and Data Elements of HIV Registries.Current HIV research · 2019Pooled it
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- Real-World Use of Controlled Terminologies, Ontologies, and Vocabularies for Evidence Generation Across a Large International Observational Network: Challenges and Lessons Learned From a Mixed Method Study.JMIR medical informatics · 2026Article
- Real-World Evidence on Short-Term Weight Changes Following Methylphenidate Use in Pediatric Population: A Retrospective Study Using Common Data Model.Clinical and translational science · 2026Article
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- A governance framework for medical code standardization to enhance multi-institutional data quality.BMC medical informatics and decision making · 2026Article
- Treatment sequence patterns of urate-lowering therapy in Korean patients with gout: A common data model-based study.PloS one · 2026Article
- Retrieval-enhanced drafting of ClinicalTrials.gov data elements from clinical protocols.Journal of clinical and translational science · 2026Article
- Lessons learned from implementing FAIRification workflows in diabetes research in Germany.PLOS digital health · 2026Article
- Pre-Meta: priors-augmented retrieval for LLM-based metadata generation.Bioinformatics (Oxford, England) · 2025Article
- Generalizability of clinical prediction models in mental health.Molecular psychiatry · 2025Observational
- Assessing Covariate Balance With Small Sample Sizes.Statistics in medicine · 2025Article
- Semantic Relations: Extending SNOMED CT and Solor.Applied clinical informatics · 2025Article
- Assessing Covariate Balance with Small Sample Sizes.medRxiv : the preprint server for health sciences · 2025Article
- FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare.BMJ (Clinical research ed.) · 2025Article
- Technologies for Interoperable Internet of Medical Things Platforms to Manage Medical Emergencies in Home and Prehospital Care: Scoping Review.Journal of medical Internet research · 2025Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
objectiveTo discuss recent developments in clinical terminologies. SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms) is the world's largest clinical terminology, developed by an international consortium. LOINC (Logical Observation Identifiers, Names, and Codes) is an international terminology widely used for clinical and laboratory observations. RxNorm is the standard drug terminology in the U.S. METHODS AND
resultsWe present a brief review of the history, current state, and future development of SNOMED CT, LOINC and RxNorm. We also analyze their similarities and differences, and outline areas for greater interoperability among them.
conclusionsWith different starting points, representation formalisms, funding sources, and evolutionary paths, SNOMED CT, LOINC, and RxNorm have evolved over the past few decades into three major clinical terminologies supporting key use cases in clinical practice. Despite their differences, partnerships have been created among their development teams to facilitate interoperability and minimize duplication of effort.
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What OpenQuestion holds
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.