ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2012
Using SNOMED-CT to encode summary level data - a corpus analysis.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
9 citing papers in PubMed.
- Using SNOMED CT-encoded problems to improve ICD-10-CM coding-A randomized controlled experiment.International journal of medical informatics · 2019Trial
- Use of the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for Processing Free Text in Health Care: Systematic Scoping Review.Journal of medical Internet research · 2021Article
- A corpus-driven standardization framework for encoding clinical problems with HL7 FHIR.Journal of biomedical informatics · 2020Article
- Automating the Transformation of Free-Text Clinical Problems into SNOMED CT Expressions.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Discovering associations between problem list and practice setting.BMC medical informatics and decision making · 2019Article
- The Sublanguage of Clinical Problem Lists: A Corpus Analysis.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Discovering adverse drug events combining spontaneous reports with electronic medical records: a case study of conventional DMARDs and biologics for rheumatoid arthritis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017Article
- An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Similarity-Based Recommendation of New Concepts to a Terminology.AMIA ... Annual Symposium proceedings. AMIA SymposiumArticle
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
Extracting and encoding clinical information captured in free text with standard medical terminologies is vital to enable secondary use of electronic medical records (EMRs) for clinical decision support, improved patient safety, and clinical/translational research. A critical portion of free text is comprised of 'summary level' information in the form of problem lists, diagnoses and reasons of visit. We conducted a systematic analysis of SNOMED-CT in representing the summary level information utilizing a large collection of summary level data in the form of itemized entries. Results indicate that about 80% of the entries can be encoded with SNOMED-CT normalized phrases. When tolerating one unmapped token, 96% of the itemized entries can be encoded with SNOMED-CT concepts. The study provides a solid foundation for developing an automated system to encode summary level data using SNOMED-CT.
Identifiers
22779045PMC3392059What 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.