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.
Hiroshi Takeda. First IMIA/IFIP Joint Symposium on E-Health (E-HEALTH) / Held as Part of World Computer Congress (WCC), Sep 2010, Brisbane, Australia. Springer, IFIP Advances in Information and Communication Technology, AICT-335, pp.169-176, 2010, E-Health. 〈10.1007/978-3-642-15515-4_18〉
https://hal.inria.fr/hal-01054863
Contributeur : Hal Ifip
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Soumis le : vendredi 8 août 2014 - 16:53:39
Dernière modification le : mardi 16 janvier 2018 - 17:56:01
Document(s) archivé(s) le : mercredi 26 novembre 2014 - 16:40:59
William Billingsley, Cindy Gallois, Andrew Smith, Timothy Marks, Fernando Bernal, et al.. Towards a Diagnostic Toolbox for Medical Communication. Hiroshi Takeda. First IMIA/IFIP Joint Symposium on E-Health (E-HEALTH) / Held as Part of World Computer Congress (WCC), Sep 2010, Brisbane, Australia. Springer, IFIP Advances in Information and Communication Technology, AICT-335, pp.169-176, 2010, E-Health. 〈10.1007/978-3-642-15515-4_18〉. 〈hal-01054863〉
