Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    View Item 
    •   MOspace Home
    • University of Missouri-Columbia
    • Health Sciences Research Day (MU)
    • 2009 Health Sciences Research Day (MU)
    • View Item
    •   MOspace Home
    • University of Missouri-Columbia
    • Health Sciences Research Day (MU)
    • 2009 Health Sciences Research Day (MU)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    advanced searchsubmit worksabouthelpcontact us

    Browse

    All of MOspaceCommunities & CollectionsDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis SemesterThis CollectionDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis Semester

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular AuthorsStatistics by Referrer

    Understanding clinical communication [abstract]

    Khairat, Saif
    View/Open
    [PDF] UnderstandingClinicalCommunications[abstract].pdf (125.2Kb)
    Date
    2010-03
    Contributor
    University of Missouri--Columbia. School of Medicine
    Format
    Abstract
    Metadata
    [+] Show full item record
    Abstract
    Introduction: Clinical Communication failures are considered the leading cause of medical errors. Minimizing communication problems among clinical team members could directly reduce medical errors and hence, increase patient safety and improve health care services. In this research, we define communication as the exchange of ideas, messages or knowledge between two or more entities through oral and written forms, and signals. Our aim is to explore the patterns of how and why these communication problems occur through knowledge acquisition from reported incidents. Methods: In order to comprehend the impact of communication within health care, a comprehensive and inclusive framework of clinical communication is used to help delineate the overall picture. Figure 1, shows the upper level taxonomy schema that Gong and his colleagues constructed with 9 major axes. Figure 2 shows the communication model we propose to represent clinical communication. To better investigate communication issues, we collect reported medical incident, cases from two main sources: (1) case reports retrieved from literature database, newspapers and lawsuits; (2) research papers that discussed medical errors in health care. Conclusion: This ongoing project aims at a fully developed communication ontology which would help healthcare professional understand medical incidents and increase their awareness of effective communication.
    URI
    http://hdl.handle.net/10355/6499
    Rights
    OpenAccess.
    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
    Collections
    • 2009 Health Sciences Research Day (MU)

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    Send Feedback
    hosted by University of Missouri Library Systems