Journal of the American Medical Informatics Association · 2014 · 13 citations · 9 references
ComputingHealth InformaticsClinical InformaticsDocumentationKnowledge MappingClinical Document StandardsClinical DocumentationClinical Knowledge RepresentationDocumentation StandardsHealth Informatics StandardsMedical DocumentationAttributesClinical Document OntologiesClinical Documentation TaxonomiesDocument MappingHl7 Clinical Document ArchitectureInteroperability Of Clinical DocumentsMedical Documentation StandardsStandards
The healthcare landscape is changing, driven by innovative care models and the emergence of new roles that are inter-professional in nature. Currently, the HL7/LOINC Document Ontology (DO) aids the use and exchange of clinical documents using a multi-axis structure of document attributes for Kind of Document, Setting, Role, Subject Matter Domain, and Type of Service. In this study, the adequacy of the Role axis for representing the type of author documenting care was assessed. Experts used a master list of 220 values created from seven resources and established mapping guidelines. Baseline certification, licensure, and didactic training were identified as key parameters that define roles and hence often need to be pre-coordinated. DO was inadequate in representing 82% of roles, and this gap was primarily due to lack of granularity in DO. Next steps include refinement of the proposed schema for the Role axis and dissemination within the larger standards community.
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PubMed · 2012 · 97 citations
Document ontology: supporting narrative documents in electronic health records.
Jason Shapiro, Suzanne Bakken, Sookyung Hyun et al. · PubMed · 2005 · 28 citations · Full text
Sookyung Hyun, Jason S. Shapiro, Genevieve B. Melton et al. · Journal of the American Medical Informatics Association · 2009 · 27 citations · Full text
The creation of an ontology of clinical document names.
P Frazier, A. Rossi-Mori, Robert H. Dolin et al. · PubMed · 2001 · 23 citations