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SNOMED started in 1965 as a Systematized Nomenclature of Pathology (SNOP) and was further developed into a logic-based health care terminology. [6] [7]SNOMED CT was created in 1999 by the merger, expansion and restructuring of two large-scale terminologies: SNOMED Reference Terminology (SNOMED RT), developed by the College of American Pathologists (CAP); and the Clinical Terms Version 3 (CTV3 ...
The Systematized Nomenclature of Medicine (SNOMED) is a systematic, computer-processable collection of medical terms, in human and veterinary medicine, to provide codes, terms, synonyms and definitions which cover anatomy, diseases, findings, procedures, microorganisms, substances, etc.
The International Health Terminology Standards Development Organisation (IHTSDO), trading as SNOMED International, is private company limited by guarantee and established under the laws of England [1] that owns SNOMED CT, a leading clinical terminology used in electronic health records.
The Omaha System is a standardized health care terminology consisting of an assessment component (Problem Classification Scheme), a care plan/services component (Intervention Scheme), and an evaluation component (Problem Rating Scale for Outcomes).
The first version was developed in the early 1980s by Dr James Read, a Loughborough general medical practitioner. [2] The scheme was structured similarly to ICD-9: . each code was composed of four consecutive characters: first character 0-9, A-Z (excepting I and O), remaining three characters 0-9, A-Z/a-z (excepting i,I,o and O) plus up to three trailing period '.' characters
Logical Observation Identifiers Names and Codes (LOINC) is a database and universal standard for identifying medical laboratory observations. First developed in 1994, it was created and is maintained by the Regenstrief Institute, a US nonprofit medical research organization.
Medcin, is a system of standardized medical terminology, a proprietary medical vocabulary and was developed by Medicomp Systems, Inc. MEDCIN is a point-of-care terminology, intended for use in Electronic Health Record (EHR) systems, [1] and it includes over 280,000 clinical data elements encompassing symptoms, history, physical examination, tests, diagnoses and therapy. [2]
What hampers the use of SNOMED-CT are systems created which do not understand the cognitive models of clinicians and which do not understand how to properly use SNOMED-CT. User interfaces can be simplified (but only so much), and still capture complex concepts, but it requires better developers than what are working on the problem today.