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UMLS

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UMLS
NameUMLS
Formation1986
FounderNational Library of Medicine
TypeFederal program
HeadquartersBethesda, Maryland
LocationUnited States
LanguageEnglish
Parent organizationNational Institutes of Health

UMLS The Unified Medical Language System is a compendium of biomedical vocabularies and standards designed to enable interoperability among National Library of Medicine, World Health Organization, Centers for Disease Control and Prevention, Food and Drug Administration, and other health information entities. It facilitates mapping among terminologies used by Mayo Clinic, Johns Hopkins Hospital, Cleveland Clinic, Kaiser Permanente, and academic centers such as Harvard Medical School and Stanford University School of Medicine. Developers at IBM Watson Health, Microsoft Research, Google Health, Amazon Web Services, and startups in health informatics use the resource alongside standards from Health Level Seven International, International Organization for Standardization, and initiatives like SNOMED International.

Overview

The initiative aggregates controlled vocabularies, classifications, and code sets produced by organizations including American Medical Association, American College of Radiology, American Hospital Association, World Health Organization ICD, and LOINC Committee. It supports mapping among systems used by providers such as Mount Sinai Health System and payers like UnitedHealthcare and Blue Cross Blue Shield Association. The project is managed within the National Institutes of Health framework and aligns with regulatory needs from Centers for Medicare & Medicaid Services and clinical research networks like Observational Health Data Sciences and Informatics.

Components

UMLS comprises several key resources: a Metathesaurus assembled from source vocabularies provided by entities such as National Cancer Institute, American Psychiatric Association, European Medicines Agency, and Veterans Health Administration; a Semantic Network developed with input from academic groups at Massachusetts Institute of Technology, University of California, San Francisco, and Columbia University; and a Specialist Lexicon and Lexical Tools used by commercial vendors such as Epic Systems Corporation and Cerner Corporation. The Metathesaurus integrates entries from datasets like RxNorm, curated by National Library of Medicine, terminologies from SNOMED CT, classifications from ICD-10-CM, and laboratory codes from Logical Observation Identifiers Names and Codes. The Semantic Network provides semantic types and relations that aid mapping tasks performed by research teams at Broad Institute and Allen Institute for AI.

Functionality and Applications

Researchers at institutions including Yale School of Medicine, University of Pennsylvania, and University of Tokyo apply the resource for natural language processing tasks in projects led by groups at Carnegie Mellon University and University of California, Berkeley. Clinical decision support systems developed by vendors like Cerner Corporation and Allscripts leverage mappings to integrate drug knowledge from Pfizer, Novartis, and Merck & Co.. Public health surveillance programs at Johns Hopkins Bloomberg School of Public Health and London School of Hygiene & Tropical Medicine use it to harmonize data from hospitals such as St Thomas' Hospital and research networks like ClinicalTrials.gov. Biomedical informatics tasks include entity recognition in corpora used by initiatives at European Bioinformatics Institute and National Human Genome Research Institute, cohort discovery for large biobanks such as UK Biobank and All of Us Research Program, and interoperability in health information exchanges modeled by DirectTrust.

Licensing and Access

Access policies are administered by National Library of Medicine with terms affecting institutions including Veterans Health Administration and academic centers like University of Oxford. Commercial organizations such as IBM, Microsoft, and Google negotiate compliance with licensing and use restrictions while researchers at Max Planck Society and Karolinska Institutet follow data use agreements. Distribution mechanisms link to standards bodies like HL7 International and repositories managed by National Institutes of Health offices. Licensing considerations intersect with regulatory frameworks from Office of the National Coordinator for Health Information Technology and international agreements involving agencies such as European Commission.

History and Development

The program originated within National Library of Medicine efforts in the 1980s and evolved through collaborations with National Institutes of Health divisions and external partners including Centers for Disease Control and Prevention and World Health Organization. Major milestones involved integration of resources from American Medical Association and adoption of standards like ICD-9, ICD-10, and later SNOMED CT in collaboration with SNOMED International. Academic partnerships with Columbia University, University of Washington, and Johns Hopkins University advanced lexical tools; industry collaborations with Epic Systems Corporation and Cerner Corporation advanced clinical integrations. International outreach included projects with World Health Organization offices, the European Medicines Agency, and national health services such as NHS England.

Criticisms and Limitations

Critiques from investigators at Stanford University School of Medicine, Massachusetts General Hospital, and independent groups like RAND Corporation highlight issues with coverage, granularity, and update frequency compared to terminologies from SNOMED International, LOINC Committee, and proprietary vocabularies from pharmaceutical companies like GlaxoSmithKline. Interoperability challenges arise when mapping to local code sets used at institutions such as Cedars-Sinai Medical Center and regional health information exchanges modeled by Surescripts. Legal and licensing concerns observed by counsel from American Hospital Association and procurement offices at University of California campuses complicate commercial reuse. Researchers at MIT and ETH Zurich note limitations in multilingual support compared with efforts by European Bioinformatics Institute and translation projects coordinated with UNESCO.

Category:Biomedical informatics