Pattern recognition as an indicator of diagnostic expertise

Thomas Loveday, Mark Wiggins, Marino Festa, David Schell, Dan Twigg

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

    Abstract

    Expertise is typically associated with high levels of experience in a domain. However, high levels of experience do not necessarily mean that operators are capable of performing at the level of expertise. Based on evidence that pattern-recognition is the foundation of expert diagnostic performance, two studies investigated the utility of distinguishing competent from expert practitioners using measures of the component tasks of pattern-recognition. In two dissimilar domains, performance across the tasks clustered into two levels, reflecting competence and expertise. Performance on the tasks was only weakly correlated with years of experience in the domain. The significance of these results is discussed in relation to assessment and training evaluation.
    Original languageEnglish
    Title of host publicationPattern recognition - applications and methods
    Subtitle of host publicationInternational Conference, ICPRAM 2012, Vilamoura, Algarve, Portugal, February 6-8, 2012, revised selected papers
    EditorsPedro Latorre Carmona, J. Salvador Sánchez, Ana L.N. Fred
    Place of PublicationBerlin
    PublisherSpringer, Springer Nature
    Pages1-11
    Number of pages11
    ISBN (Print)9783642365294
    DOIs
    Publication statusPublished - 2013
    EventInternational Conference on Pattern Recognition (1st : 2012) - Vilamoura, Algarve, Portugal
    Duration: 6 Feb 20128 Feb 2012

    Publication series

    NameAdvances in intelligent systems and computing
    PublisherSpringer
    Volume204
    ISSN (Print)2194-5357

    Conference

    ConferenceInternational Conference on Pattern Recognition (1st : 2012)
    CityVilamoura, Algarve, Portugal
    Period6/02/128/02/12

    Keywords

    • cues
    • expertise
    • pattern-recognition

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