ReviewJMIR medical informatics2023
Systematized Nomenclature of Medicine-Clinical Terminology (SNOMED CT) Clinical Use Cases in the Context of Electronic Health Record Systems: Systematic Literature Review.
Review in JMIR medical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electronic health records: managerial insights from an umbrella review.BMC health services research · 2026Pooled it
- OntoCodex: a multi-agent biomedical ontology enrichment framework.npj health systems · 2026Article
- Extracting homogenous data from heterogenous diseases: RaraSwed, the Swedish national rare disease quality registry.BMC global and public health · 2026Review
- Challenges and Solutions in Deploying Systematized Nomenclature of Medicine-Clinical Terms in the Chinese Healthcare Context.Health care science · 2026Article
- Evaluating open-source LLMs for dental EMR generation.BMC oral health · 2026Article
- Article
- Developing a Thai User Interface Terminology for Systematized Nomenclature of Medicine Clinical Terms Implementation in Primary Care: Cross-Sectional Content Coverage Analysis.JMIR medical informatics · 2026Article
- Artificial intelligence applications in automated dental report generation - a scoping review.Frontiers in oral health · 2026Review
- Data in Diabetic Foot Care: From Current State to a Management Framework for Implementation.Journal of clinical medicine · 2025Review
- Genome-wide analysis in over 1.6 million participants uncovers 147 loci associated with obstructive sleep apnoea.medRxiv : the preprint server for health sciences · 2025Article
- Development of a big data platform for collecting and utilizing clinical information from the Korea Biobank Network.BMC medical informatics and decision making · 2025Article
- Comparing Whole-Body Diffusion-weighted MRI to Conventional Imaging: Staging Pediatric Bone and Soft-Tissue Sarcomas.Radiology. Imaging cancer · 2025Article
- An effective encoding of human medical conditions in disease space provides a versatile framework for deciphering disease associations.Quantitative biology (Beijing, China) · 2025Article
- Integrating Knowledge: The Power of Ontologies in Psychiatric Research and Clinical Informatics.Biological psychiatry · 2025Review
- IHRAS: Automated Medical Report Generation from Chest X-Rays via Classification, Segmentation, and LLMs.Bioengineering (Basel, Switzerland) · 2025Article
- Biomedical text normalization through generative modeling.Journal of biomedical informatics · 2025Article
- An end-to-end pipeline for automated scoliosis diagnosis with standardized clinical reporting using SNOMED CT.Scientific reports · 2025Article
- Semantic Interoperability of Electronic Health Records: Systematic Review of Alternative Approaches for Enhancing Patient Information Availability.JMIR medical informatics · 2024Review
- Checklist and guidance on creating codelists for routinely collected health data research.NIHR open research · 2024Article
- Integrating biological knowledge for mechanistic inference in the host-associated microbiome.Frontiers in microbiology · 2024Review
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
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Systematized Medical Nomenclature for Medicine-Clinical Terminology (SNOMED CT) is a clinical terminology system that provides a standardized and scientifically validated way of representing clinical information captured by clinicians. It can be integrated into electronic health records (EHRs) to increase the possibilities for effective data use and ensure a better quality of documentation that supports continuity of care, thus enabling better quality in the care process. Even though SNOMED CT consists of extensively studied clinical terminology, previous research has repeatedly documented a lack of scientific evidence for SNOMED CT in the form of reported clinical use cases in electronic health record systems.
objectiveThe aim of this study was to explore evidence in previous literature reviews of clinical use cases of SNOMED CT integrated into EHR systems or other clinical applications during the last 5 years of continued development. The study sought to identify the main clinical use purposes, use phases, and key clinical benefits documented in SNOMED CT use cases.
methodsThe Cochrane review protocol was applied for the study design. The application of the protocol was modified step-by-step to fit the research problem by first defining the search strategy, identifying the articles for the review by isolating the exclusion and inclusion criteria for assessing the search results, and lastly, evaluating and summarizing the review results.
resultsIn total, 17 research articles illustrating SNOMED CT clinical use cases were reviewed. The use purpose of SNOMED CT was documented in all the articles, with the terminology as a standard in EHR being the most common (8/17). The clinical use phase was documented in all the articles. The most common category of use phases was SNOMED CT in development (6/17). Core benefits achieved by applying SNOMED CT in a clinical context were identified by the researchers. These were related to terminology use outcomes, that is, to data quality in general or to enabling a consistent way of indexing, storing, retrieving, and aggregating clinical data (8/17). Additional benefits were linked to the productivity of coding or to advances in the quality and continuity of care.
conclusionsWhile the SNOMED CT use categories were well supported by previous research, this review demonstrates that further systematic research on clinical use cases is needed to promote the scalability of the review results. To achieve the best out-of-use case reports, more emphasis is suggested on describing the contextual factors, such as the electronic health care system and the use of previous frameworks to enable comparability of results. A lesson to be drawn from our study is that SNOMED CT is essential for structuring clinical data; however, research is needed to gather more evidence of how SNOMED CT benefits clinical care and patient safety.
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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.