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Towards a Diagnostic Toolbox for Medical Communication

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.
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William Billingsley, Cindy Gallois, Andrew Smith, Timothy Marks, Fernando Bernal, et al.. Towards a Diagnostic Toolbox for Medical Communication. First IMIA/IFIP Joint Symposium on E-Health (E-HEALTH) / Held as Part of World Computer Congress (WCC), Sep 2010, Brisbane, Australia. pp.169-176, ⟨10.1007/978-3-642-15515-4_18⟩. ⟨hal-01054863⟩



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