Clinical Vocabulary Standards
Multiple projects in this area continue to promote the development, enhancement, and adoption of clinical vocabulary standards. Inter-terminology mapping promotes the use of standard terminologies by creating maps to administrative terminologies, which allows re-use of encoded clinical data.
CORE Subset of SNOMED CT: The CORE Problem List Subset is derived from real clinical data from eight large-scale healthcare institutions. It identifies the most frequently used SNOMED CT terms in the problem list.
Rodriguez L, Demner-Fushman D. Finding Understudied Disorders Potentially Associated with Maternal Morbidity and Mortality. AJP Rep. 2019 Jan;9(1):e36-e43. doi: 10.1055/s-0039-1683363. Epub 2019 Mar 4.
Abstract | pub9896.pdf | PMID: 30838163
Fung KW, Jao CS, Demner-Fushman D. Extracting drug indication information from structured product labels using natural language processing. J Am Med Inform Assoc. 2013 May 1;20(3):482-8. doi: 10.1136/amiajnl-2012-001291. Epub 2013 Mar 9.
Abstract | pub2013-008.pdf | PMID: 23475786 | PMCID: PMC3628062