A Semantic Annotation Framework for Patient-Friendly Electronic Discharge Summaries

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dc.contributor.advisor Warren, J en
dc.contributor.advisor Orr, M en
dc.contributor.author Adnan, Mehnaz en
dc.date.accessioned 2011-12-21T02:29:25Z en
dc.date.issued 2011 en
dc.identifier.uri http://hdl.handle.net/2292/10272 en
dc.description.abstract Discharge summaries are intended to include information necessary to communicate the post-discharge framework of care to care providers as well as patients and their families. An important aspect is the availability of easily understandable discharge information to empower patients as partners in their post-discharge care. However, these summaries are found to impose comprehension barriers for consumers. We explore semantic annotation as an approach to improve discharge summaries by assigning links of various semantic types to entities in the text. Our approach is grounded in automated text analysis and panel assessment of a corpus of 200 Electronic Discharge Summaries (EDSs) to identify the barriers to patient use of these summaries. These analyses identified the presence of advanced clinical vocabulary, abbreviations and inadequate patient advice as major obstacles. In response to the findings from corpus analyses, we implemented two components, SemLink and SemAssist. Both of these components use the Unified Medical Language System (UMLS) and the Open Access Collaboratives' Consumer Health Vocabulary (CHV) as biomedical vocabularies and the General Architecture for Text Engineering (GATE) as a natural language processing framework. SemLink is designed to provide readability support for EDS text by adding hyperlinks to the most appropriate and readable consumer-based web resource for difficult terms and phrases. SemLink was developed iteratively and can embed its results in portable document format (PDF). In a preliminary automated evaluation, SemLink achieved 95% precision in hyperlinking topically relevant Web resources in which 83% of hyperlinks could be restricted to resources of reading grade-level 8 or less. In the final evaluation by expert feedback, SemLink generated 65% topically relevant hyperlinks as agreed by the majority of the experts. SemAssist is designed as an interactive ontology-based Clinical Decision Support System to assist EDS authors in providing optimal medication advice for patients. The system offers a pre-formulated auto text and an alert critique about the inclusion of advice on side effects, required patient actions and follow-up related to postdischarge care for a set of high risk medications. Together, SemLink and SemAssist illustrate the application of a semantic annotation framework to support consumers in getting the most from their EDSs by exploiting both dynamic hyperlinking and authoring support. Our approach may have a wider range of applications to support other health-related document types and clinical users. en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof PhD Thesis - University of Auckland en
dc.relation.isreferencedby UoA99220287214002091 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ en
dc.title A Semantic Annotation Framework for Patient-Friendly Electronic Discharge Summaries en
dc.type Thesis en
thesis.degree.discipline Computer Science en
thesis.degree.grantor The University of Auckland en
thesis.degree.level Doctoral en
thesis.degree.name PhD en
dc.rights.holder Copyright: The author en
pubs.elements-id 265044 en
pubs.record-created-at-source-date 2011-12-21 en


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http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-sa/3.0/nz/

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