Our terminology browser and semantic search interface creates terminology filters to retrieve subsets of concepts based on various criteria. Search methods can be combined (e.g. lexical, subsumption, semantic, subset, mapping) to simplify concept retrieval for different domains such as pharmaceuticals, findings, procedures, and observations.
Cross-terminology filters can be created based on their medical significance, public health implications, or historical associations with drug toxicities. They can be saved and shared with the community.
Explore cross-terminology health outcomes of interest from the Foundation for the National Institutes of Health (USA), Johnson & Johnson, IMS Health, Merck Research Laboratories, Janssen Research and Development, Reagan-Udall Foundation for the Food & Drug Administration (USA), Health, AstraZeneca, Siemens Health Services, Pharmaceutical Research Manufacturers of America, Oracle Health Sciences, and others.
SNOMED CT is considered the most comprehensive, multilingual clinical healthcare terminology in the world. Its use is mandated for healthcare information exchange in over 20 national healthcare systems and recommended in dozens more. This has led to exponential growth of SNOMED CT encoded health records.
In contrast to other clinical terminologies, SNOMED CT is a formally defined ontology. This allows identifying concepts based on clinical meaning in addition to textual labels or pre-defined categorizations. Concepts may have multiple parents, allowing Viral pneumonia to be categorized as both a Lung disease and an Infectious disease. Mappings to other terminologies like ICD-9/10, LOINC, ATC, etc. permit even more categorization and grouping options.
Snow Owl MQ unleashes SNOMED CT, supporting extensions from the International Health Terminology Standards Development Organization (SNOMED International), National Library of Medicine (USA), National Health System (UK), Kaiser Permanente (USA), Ministry of Health (Singapore), National IT Institute for Health care in the Netherlands, Ministry of Health and Family Welfare (India), National E-Health Transition Authority (Australia), Canada Health Infoway, National Agency for e-Government and Information Society (Uruguay), Secretary for Food and Health (Hong Kong), and many more.
Support for over 70 standard terminologies, including SNOMED CT, ICD-10, LOINC, ATC, RxNorm, dm+d, ICD-9, MedDRA, CPT, along with regional extensions such as ICD-10-CM.
Include your own terminologies, local code systems, mappings, and value sets. Create your own queries by specifying a set of rules and rest assured that new content from the above authorities automatically appears correctly in your subset. The friendly user interface requires no expertise knowledge but provides the power of an ontological foundation based on formal description logic.