If SNOMED CT is to serve as a biomedical reference terminology, then steps must be taken to ensure comparability of information formulated using successive versions. New releases are therefore shipped with a history mechanism. We assessed the adequacy of this mechanism for its treatment of the distinction between changes occurring on the side of entities in reality and changes in our understanding thereof. We found that these two types are only partially distinguished and that a more detailed study is required to propose clear recommendations for enhancement along at least the following lines: (1) explicit representation of the provenance of a class; (2) separation of the time-period during which a component is stated valid in SNOMED CT from the period it is (or has been) valid in reality, and (3) redesign of the historical relationships table to give users better assistance for recovery in case of introduced mistakes.
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Br Dent J
January 2025
Professor of Oral and Maxillofacial Surgery, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK; Bloomsbury Trust, London, UK.
There has been discussion and confusion about SNOMED-CT (systematised nomenclature of medicine clinical terminology), learning health systems (LHSs) and their relevance in dentistry. This article aims to provide an overview of SNOMED-CT, LHSs and the all-too-often omitted patient and service benefits from their use. LHSs are delivering impactful benefits to patients and services globally in medicine.
View Article and Find Full Text PDFRofo
December 2024
Department of Radiology, Medical Center - University of Freiburg Department of Radiology, Freiburg, Germany.
In radiology, technological progress has led to an enormous increase in data volumes. To effectively use these data during diagnostics or subsequent clinical evaluations, they have to be aggregated at a central location and be meaningfully retrievable in context. Radiology data warehouses undertake this task: they integrate diverse data sources, enable patient-specific and examination-specific evaluations, and thus offer numerous benefits in patient care, education, and clinical research.
View Article and Find Full Text PDFQual Manag Health Care
December 2024
Author's Affiliation: Health Services Research, Department of Health Administration and Policy, College of Public Health, George Mason University, Fairfax, Virginia.
Background And Objectives: Basal cell carcinoma (BCC) is the most common form of skin cancer, originating from basal cells in the skin's outer layer. It frequently arises from prolonged exposure to ultraviolet (UV) radiation from the sun or tanning beds. Although BCC rarely metastasizes, it can cause significant local tissue damage if left untreated.
View Article and Find Full Text PDFJMIR Med Inform
October 2024
Department of Nursing Science, Research Institute of Nursing Science, Chungbuk National University, Cheongju, Republic of Korea.
Background: Large language models (LLMs) have substantially advanced natural language processing (NLP) capabilities but often struggle with knowledge-driven tasks in specialized domains such as biomedicine. Integrating biomedical knowledge sources such as SNOMED CT into LLMs may enhance their performance on biomedical tasks. However, the methodologies and effectiveness of incorporating SNOMED CT into LLMs have not been systematically reviewed.
View Article and Find Full Text PDFJMIR Med Inform
September 2024
Institute of Medical Informatics, University of Luebeck, Luebeck, Germany.
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