Modern Information Retrieval
A survey and analysis of Electronic Healthcare Record standards
ACM Computing Surveys (CSUR)
Journal of Biomedical Informatics
Performance analysis and assessment of a tf-idf based archetype-SNOMED-CT binding algorithm
CBMS '11 Proceedings of the 2011 24th International Symposium on Computer-Based Medical Systems
Associating Clinical Archetypes Through UMLS Metathesaurus Term Clusters
Journal of Medical Systems
A study of semantic proximity between archetype terms based on SNOMED CT relationships
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
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Clinical archetypes provide a means for health professionals to design what should be communicated as part of an Electronic Health Record (EHR). An ever-growing number of archetype definitions follow this health information modelling approach, and this international archetype resource will eventually cover a large number of clinical concepts. On the other hand, clinical terminology systems that can be referenced by archetypes also have a wide coverage over many types of health-care information. No existing work measures the clinical content coverage of archetypes using terminology systems as a metric. Archetype authors require guidance to identify under-covered clinical areas that may need to be the focus of further modelling effort according to this paradigm. This paper develops a first map of SNOMED-CT concepts covered by archetypes in a repository by creating a so-called terminological Shadow. This is achieved by mapping appropriate SNOMED-CT concepts from all nodes that contain archetype terms, finding the top two category levels of the mapped concepts in the SNOMED-CT hierarchy, and calculating the coverage of each category. A quantitative study of the results compares the coverage of different categories to identify relatively under-covered as well as well-covered areas. The results show that the coverage of the well-known National Health Service (NHS) Connecting for Health (CfH) archetype repository on all categories of SNOMED-CT is not equally balanced. Categories worth investigating emerged at different points on the coverage spectrum, including well-covered categories such as Attributes, Qualifier value, under-covered categories such as Microorganism, Kingdom animalia, and categories that are not covered at all such as Cardiovascular drug (product).