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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 ...
To support the implementation of SNOMED CT, a number of publications are produced by IHTSDO. These range from user guides to technical implementation guides as well as some educational materials and videos. Documents are available through the public website, but some items such as the videos can be found via YouTube.
In 2002 CAP's SNOMED Reference Terminology (SNOMED RT) was merged with, and expanded by, the National Health Service's Clinical Terms Version 3 (previously known as the Read codes) to produce SNOMED CT. [2] [3] Versions of SNOMED released prior to 2001 were based on a multiaxial, hierarchical classification system.
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
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.
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Quantitative computed tomography (QCT) is a medical technique that measures bone mineral density (BMD) using a standard X-ray computed tomography (CT) scanner with a calibration standard to convert Hounsfield units (HU) of the CT image to bone mineral density values. [1]
Tomographic systems have significant variability in their applications and geometries (locations of sources and detectors). This variability creates the need for very specific, tailored implementations of the processing and reconstruction algorithms. Thus, most CT manufacturers provide their own custom proprietary software.