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Medical data standards: Controlled terminology for clinically-relevant indexing and selective retrieval of biomedical images
被引：6
作者：
Bidgood Jr. W.D.
[1
,2
]
Korman L.Y.
[3
]
Golichowski A.M.
[4
]
Hildebrand P.L.
[5
]
Mori A.R.
[6
]
Bray B.
[7
]
Brown N.J.G.
[8
]
Spackman K.A.
[9
]
Dove S.B.
[10
]
Schoeffler K.
[11
]
机构：
[1] Duke University Medical Center, Center for Healthcare Informatics, Durham, NC
[2] Cognitive Science Branch, Lister Hill National Center for Biomedical Communication, US National Library of Medicine
[3] Department of Medicine, Division of Gastroenterology, Washington VA Medical Center, Washington, DC
[4] Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, IN
[5] Department of Ophthalmology, University of Oklahoma Health Sciences Center, Oklahoma City, OK
[6] Istituto Tecnologie Biomediche, CNR, Rome
[7] Department of Medicine, Division of Cardiology, University of Utah, Salt Lake City, UT
[8] Department of Nuclear Medicine, Kings College Hospital, London
[9] Department of Pathology, Oregon Health Sciences University, Portland, OR
[10] Division Chief of Diagnostic Sciences, School of Dentistry, University of Texas Health Science Center, Austin, TX
[11] Duke/UNC Program in Medical Informatics, Duke University, Durham, NC
关键词：
Biomedical image retrieval;
Controlled indexing terminology;
DICOM;
D O I：
10.1007/s007990050022
中图分类号：
学科分类号：
摘要：
Existing clinical nomenclatures do not provide comprehensive, detailed coverage for multispecialty biomedical imaging. To address clinical needs in this area, the College of American Pathologists (CAP), secretariat of the Systematized Nomenclature of Human and Veterinary Medicine (SNOMED), has entered into partnership with the DICOM (Digital Imaging and Communications in Medicine) Standards Committee, the American College of Radiology, the American Dental Association, the American Academy of Ophthalmology, the American Society for Gastrointestinal Endoscopy, the American Academy of Neurology, the American Veterinary Medical Association, and other professional specialty organizations to develop the controlled terminology that is needed for diagnostic imaging applications. Terminology development is coordinated with ongoing development and maintenance of the DICOM Standard. SNOMED content is being enhanced in two general areas: 1) imaging procedure descriptions and 2) diagnostic observations. The SNOMED DICOM Microglossary (SDM) has been developed to provide context-dependent value sets (SDM Context Groups) for DICOM coded-entry data elements, and semantic content specifications (SDM Templates) for reports and other structures composed of multiple data elements. The capability of storing explicitly-labeled coded descriptors from the SDM in DICOM images and reports improves the potential for selective retrieval of images and related information. A pilot test of distributed multispecialty terminology development using a World Wide Web (WWW) application was performed in 1997, demonstrating the feasibility of large-scale distributed development of SDM terminology. © Springer-Verlag 1997.
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页码：278 / 287
页数：9
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