title: Enabling locally-developed content for access through the infobutton by means of automated concept annotation.
abstract: Infobuttons have proven to be an increasingly important resource in providing a standardized approach to integrating useful educational materials at the point of care in electronic health records (EHRs). They provide a simple, uniform pathway for both patients and providers to receive pertinent education materials in a quick fashion from within EHRs and Personalized Health Records (PHRs). In recent years, the international standards organization Health Level Seven has balloted and approved a standards-based pathway for requesting and receiving data for infobuttons, simplifying some of the barriers for their adoption in electronic medical records and amongst content providers. Local content, developed by the hosting organization themselves, still needs to be indexed and annotated with appropriate metadata and terminologies in order to be fully accessible via the infobutton. In this manuscript we present an approach for automating the annotation of internally-developed patient education sheets with standardized terminologies and compare and contrast the approach with manual approaches used previously. We anticipate that a combination of system-generated and human reviewed annotations will provide the most comprehensive and effective indexing strategy, thereby allowing best access to internally-created content via the infobutton.
authors.affiliation: Intermountain Healthcare, Salt Lake City, UT ; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
authors.forename: Nathan C
authors.initials: NC
authors.lastname: Hulse
authors.affiliation: Intermountain Healthcare, Salt Lake City, UT.
authors.forename: Jie
authors.initials: J
authors.lastname: Long
authors.affiliation: Intermountain Healthcare, Salt Lake City, UT.
authors.forename: Xiaomin
authors.initials: X
authors.lastname: Xu
authors.affiliation: University of Texas School of Biomedical Informatics, Houston, TX.
authors.forename: Cui
authors.initials: C
authors.lastname: Tao
mesh_terms: D057286:Electronic Health Records; D057208:Health Level Seven; D006801:Humans; D016247:Information Storage and Retrieval; D038801:International Classification of Diseases; D010353:Patient Education as Topic; D039061:Systematized Nomenclature of Medicine; D014584:User-Computer Interface