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Year:: 2014
Contributor:: Wang, Yan (author); Pakhomov, Serguei (author); Dale, Justin L. (author); Chen, Elizabeth S. (author); Melton, Genevieve B. (author)
Genre:: papers (documents)

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Abstract:: Fairview Health Services is an affiliated integrated health system partnering with the University of Minnesota to establish a secure research-oriented clinical data repository that includes large numbers of clinical documents. Standardization of clinical document names and associated attributes is essential for their exchange and secondary use. The HL7/LOINC Document Ontology (DO) was developed to provide a standard representation of clinical document attributes with a multi-axis structure. In this study, we evaluated the adequacy of DO to represent documents in the clinical data repository from legacy and current EHR systems across community and academic practice sites. The results indicate that a large portion of repository data items can be mapped to the current DO ontology but the document attributes do not always link consistently with DO axes and additional values for certain axes, particularly "Setting" and "Role" are needed for better coverage. To achieve a more comprehensive representation of clinical documents, more effort on algorithms, DO value sets, and data governance over clinical document attributes is needed
Notes:: Source: Electronic Health Record; Method: Document Standards; This work received grant support from National Library of Medicine 1R01LM011364-01 (EC/GM), Agency for Healthcare Research and Quality 1R01HS022085-01 (GM), National Institute of General Medical Sciences 1R01GM102282-1A1 (SP), and the University of Minnesota Clinical and Translational Science Award 8UL1TR000114-02.; Paper published in the AMIA Joint Summits on Translational Science

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Use and Reproduction: This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

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Wang, Yan, Pakhomov, Serguei, Dale, Justin L., et al., "Application of HL7/LOINC document ontology to a university-affiliated integrated health system research clinical data repository" (2014). SFHERE Publications and Presentations. Brown Digital Repository. Brown University Library. https://repository.library.brown.edu/studio/item/bdr:697509/

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SFHERE Publications and Presentations

This collection houses journal articles, conference papers and presentations, and abstracts and posters authored by members of the SFHERE team.
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Application of HL7/LOINC document ontology to a university-affiliated integrated health system research clinical data repository