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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.
Cited literature [18 references]
https://hal.inria.fr/hal-01054863
Contributor : Hal Ifip <>
Submitted on : Friday, August 8, 2014 - 4:53:39 PM
Last modification on : Tuesday, January 16, 2018 - 5:56:01 PM
Long-term archiving on: : Wednesday, November 26, 2014 - 4:40:59 PM
Contributor : Hal Ifip <>
Submitted on : Friday, August 8, 2014 - 4:53:39 PM
Last modification on : Tuesday, January 16, 2018 - 5:56:01 PM
Long-term archiving on: : Wednesday, November 26, 2014 - 4:40:59 PM
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O-17wcc2010final00281.pdf
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Distributed under a Creative Commons Attribution 4.0 International License