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Towards a diagnostic toolbox for medical communicaton

Authors

William Billingsley, Cindy Gallois, Andrew Smith, Timothy Marks, Fernando Bernal and Marcus Watson

NICTA

Abstract

Poor communication is a major cause of adverse patient events in hospitals. Although sophisticated simulators are in use for performing medical operations, there is comparatively little technology support being used for improving communication skills including patient history taking. Artificial Intelligence and Natural Language Processing researchers have developed sophisticated algorithms for analysing conversations. We are experimentally developing software that can visualise the combined output of these algorithms, as a diagnostic toolkit for medical communication.

BibTeX Entry

  @inproceedings{Billingsley_GSMBW_10,
    author           = {Billingsley, William and Gallois, Cindy and Smith, Andrew and Marks, Timothy and Bernal, Fernando
                        and Watson, Marcus},
    month            = sep,
    year             = {2010},
    keywords         = {communication, visualisation, patient history taking, natural language processing, artificial
                        intelligence},
    title            = {Towards a Diagnostic Toolbox for Medical Communicaton},
    booktitle        = {1st IFIP-IMIA International e-Health Joint Conference},
    pages            = {169--176},
    address          = {Brisbane, Australia}
  }

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