Clinical coverage of an archetype repository over SNOMED-CT
نویسندگان
چکیده
منابع مشابه
Clinical coverage of an archetype repository over SNOMED-CT
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...
متن کاملSNOMED CT module-driven clinical archetype management
OBJECTIVE To explore semantic search to improve management and user navigation in clinical archetype repositories. METHODS In order to support semantic searches across archetypes, an automated method based on SNOMED CT modularization is implemented to transform clinical archetypes into SNOMED CT extracts. Concurrently, query terms are converted into SNOMED CT concepts using the search engine ...
متن کاملA Study of Semantic Proximity between Archetype Terms Based on SNOMED CT Relationships
The OpenEHR archetypes have been suggested as a standard for detailing data models of electronic healthcare records, as a means of achieving interoperability between clinical systems. But, mapping terms of these clinical data models to a terminology system, such as SNOMED CT, is a crucial step to provide the required interoperability. Through this study, we aim to understand better how archetyp...
متن کاملFrequency analysis of medical concepts in clinical trials and their coverage in MeSH and SNOMED-CT.
BACKGROUND Eligibility criteria (EC) of clinical trials play a key role in selecting appropriate study candidates and the validity of the outcome of a clinical trial. However, in most cases EC are provided in unstandardised ways such as free text, which raises significant challenges for machine-readability. OBJECTIVES To establish a list of most frequent medical concepts in clinical trials wi...
متن کاملRule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text
Named entity recognition of the clinical entities disorders, findings and body structures is needed for information extraction from unstructured text in health records. Clinical notes from a Swedish emergency unit were annotated and used for evaluating a ruleand terminology-based entity recognition system. This system used different preprocessing techniques for matching terms to SNOMED CT, and,...
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ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2012
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2011.12.001