Visualising conversation structure across time: Insights into effective doctor-patient consultations

Angus, Daniel, Watson, Bernadette, Smith, Andrew, Gallois, Cindy and Wiles, Janet (2012) Visualising conversation structure across time: Insights into effective doctor-patient consultations. PLoS One, 7 6: e38014.1-e38014.12. doi:10.1371/journal.pone.0038014


Author Angus, Daniel
Watson, Bernadette
Smith, Andrew
Gallois, Cindy
Wiles, Janet
Title Visualising conversation structure across time: Insights into effective doctor-patient consultations
Journal name PLoS One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2012-06
Sub-type Article (original research)
DOI 10.1371/journal.pone.0038014
Volume 7
Issue 6
Start page e38014.1
End page e38014.12
Total pages 12
Place of publication San Francisco, CA, United States
Publisher Public Library of Science
Collection year 2013
Language eng
Abstract Effective communication between healthcare professionals and patients is critical to patients’ health outcomes. The doctor/patient dialogue has been extensively researched from different perspectives, with findings emphasising a range of behaviours that lead to effective communication. Much research involves self-reports, however, so that behavioural engagement cannot be disentangled from patients’ ratings of effectiveness. In this study we used a highly efficient and time economic automated computer visualisation measurement technique called Discursis to analyse conversational behaviour in consultations. Discursis automatically builds an internal language model from a transcript, mines the transcript for its conceptual content, and generates an interactive visual account of the discourse. The resultant visual account of the whole consultation can be analysed for patterns of engagement between interactants. The findings from this study show that Discursis is effective at highlighting a range of consultation techniques, including communication accommodation, engagement and repetition.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article # e38014

 
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Created: Thu, 26 Jul 2012, 10:28:29 EST by Dr Daniel Angus on behalf of School of Information Technol and Elec Engineering