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SNOMED CT's Release Format 2 (RF2) has been announced as an improvement over its predecessor, for instance because of its more consistent and almost formal approach towards describing changes in components over different versions, as well as changes in the structure of SNOMED CT itself. We explore two sorts of changes that are only partially formalized in RF2: the relationships between associative relations and reasons for inactivations as expressed in Association Reference Sets and Attribute Value Reference Sets on the one hand, and the various patterns according to which semantic tags appearing in fully specified names change over subsequent versions with or without being related to inactivations. We propose a data conversion methodology that combines assertions about SNOMED CT components into history profiles and use elements of these profiles to build Formal Concept Analysis contexts to discover valid implications that can render implicit assumptions hidden in SNOMED CT's structure explicit.
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Int J Med Inform
December 2025
Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea.
Background: We aimed to evaluate and compare the applicability of Logical Observation Identifiers Names and Codes (LOINC) and SNOMED CT in mapping frequently requested panel tests.
Method: Frequently requested panel tests were identified from the test records of two major referral laboratories. Subsequently, LOINC and SNOMED CT mappings were cross-validated, and the results were classified based on pre-defined criteria.
JMIR Med Inform
July 2025
Department of Emergency Medicine, The University of British Columbia, Vancouver, BC, Canada.
Background: Adverse drug events (ADEs) lead to more than 2 million emergency department visits in Canada annually, resulting in significant patient harm and more than CAD $1 billion in health care costs (in 2018, the average exchange rate for 1 CAD was 0.7711 USD; 1 billion CAD would have been approximately 771.1 million USD).
View Article and Find Full Text PDFStud Health Technol Inform
May 2025
Aerospace Medical Research Center, Republic of Korea Air Force.
SNOMED CT is a comprehensive controlled biomedical ontology widely used as an information exchange standard among various healthcare institutions. To ensure the unambiguous expression of health data and effective linguistic computation of word meanings, the hierarchical relation of a partially antonymous biomedical concept pair, which shares a common context but has antonymous modifiers such as in magnetic resonance imaging without contrast - magnetic resonance imaging with contrast, must be validated. This study examined the hierarchical matchings of partially antonymous concepts by the prepositional phrase without in SNOMED CT's hierarchy.
View Article and Find Full Text PDFJMIR Med Inform
February 2025
Section for Clinical Research IT, Institute of Medical Biometry and Statistics, University of Luebeck and University Hospital Schleswig-Holstein, Luebeck, Germany.
Background: The digitalization of health care has increased the demand for efficient data exchange, emphasizing semantic interoperability. SNOMED Clinical Terms (SNOMED CT), a comprehensive terminology with over 360,000 medical concepts, supports this need. However, it cannot cover all medical scenarios, particularly in complex cases.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States.
Objective: SNOMED CT provides a standardized terminology for clinical concepts, allowing cohort queries over heterogeneous clinical data including Electronic Health Records (EHRs). While it is intuitive that missing and inaccurate subtype (or is-a) relations in SNOMED CT reduce the recall and precision of cohort queries, the extent of these impacts has not been formally assessed. This study fills this gap by developing quantitative metrics to measure these impacts and performing statistical analysis on their significance.
View Article and Find Full Text PDF