ArticleJournal of biomedical semantics2010
Enriching a primary health care version of ICD-10 using SNOMED CT mapping.
Article in Journal of biomedical semantics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Introduction of Systematized Nomenclature of Medicine-Clinical Terms Coding Into an Electronic Health Record and Evaluation of its Impact: Qualitative and Quantitative Study.JMIR medical informatics · 2021Article
- Ontological and Non-Ontological Resources for Associating Medical Dictionary for Regulatory Activities Terms to SNOMED Clinical Terms With Semantic Properties.Frontiers in pharmacology · 2019Article
- Clinical features of patients with non-metastatic lung cancer in primary care: a case-control study.BJGP open · 2018Article
- Identification of patients with non-metastatic colorectal cancer in primary care: a case-control study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2016Article
- Increased consultation frequency in primary care, a risk marker for cancer: a case-control study.Scandinavian journal of primary health care · 2016Article
- Coding of procedures documented by general practitioners in Swedish primary care-an explorative study using two procedure coding systems.BMC family practice · 2012Article
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Authors and funding
5 authors.
Funding
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Abstract
backgroundIn order to satisfy different needs, medical terminology systems must have richer structures. This study examines whether a Swedish primary health care version of the mono-hierarchical ICD-10 (KSH97-P) may obtain a richer structure using category and chapter mappings from KSH97-P to SNOMED CT and SNOMED CT's structure. Manually-built mappings from KSH97-P's categories and chapters to SNOMED CT's concepts are used as a starting point.
resultsThe mappings are manually evaluated using computer-produced information and a small number of mappings are updated. A new and poly-hierarchical chapter division of KSH97-P's categories has been created using the category and chapter mappings and SNOMED CT's generic structure. In the new chapter division, most categories are included in their original chapters. A considerable number of concepts are included in other chapters than their original chapters. Most of these inclusions can be explained by ICD-10's design. KSH97-P's categories are also extended with attributes using the category mappings and SNOMED CT's defining attribute relationships. About three-fourths of all concepts receive an attribute of type Finding site and about half of all concepts receive an attribute of type Associated morphology. Other types of attributes are less common.
conclusionsIt is possible to use mappings from KSH97-P to SNOMED CT and SNOMED CT's structure to enrich KSH97-P's mono-hierarchical structure with a poly-hierarchical chapter division and attributes of type Finding site and Associated morphology. The final mappings are available as additional files for this paper.
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