Towards a Diagnostic Toolbox for Medical Communication

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

doi:10.1007/978-3-642-15515-4_18

Towards a Diagnostic Toolbox for Medical Communication

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

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	First IMIA/IFIP Joint Symposium, E-Health 2010, Held as Part of WCC 2010
Editors	Hiroshi Takeda
Place of Publication	Germany
Publisher	Springer
Pages	169-176
ISBN (Print)	9783642155147, 9783642155154
DOIs	https://doi.org/10.1007/978-3-642-15515-4_18
Publication status	Published - 31 Dec 2010
Event	E-Health 2010: First IMIA/IFIP Joint Symposium within WCC 2010: World Computer Conference 2010 - Brisbane, Australia Duration: 20 Sept 2010 → 23 Sept 2010

Publication series

Name	IFIP Advances in Information and Communication Technology
Number	335
ISSN (Print)	1868-4238
ISSN (Electronic)	1861-2288

Conference

Conference	E-Health 2010: First IMIA/IFIP Joint Symposium within WCC 2010: World Computer Conference 2010
City	Brisbane, Australia
Period	20/09/10 → 23/09/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Artificial Intelligence and Image Processing
Computer-Human Interaction
Medicine, Nursing and Health Curriculum and Pedagogy

Access to Document

10.1007/978-3-642-15515-4_18

https://hdl.handle.net/1959.11/22545

Handle.net

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Cite this

Billingsley, W., Gallois, C., Smith, A., Marks, T., Bernal, F., & Watson, M. (2010). Towards a Diagnostic Toolbox for Medical Communication. In H. Takeda (Ed.), First IMIA/IFIP Joint Symposium, E-Health 2010, Held as Part of WCC 2010 (pp. 169-176). (IFIP Advances in Information and Communication Technology; No. 335). Springer. https://doi.org/10.1007/978-3-642-15515-4_18

@inproceedings{507c00cdd6ab40e982f1f43c7deb5bdf,

title = "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.",

keywords = "Artificial Intelligence and Image Processing, Computer-Human Interaction, Medicine, Nursing and Health Curriculum and Pedagogy",

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

year = "2010",

month = dec,

day = "31",

doi = "10.1007/978-3-642-15515-4\_18",

language = "English",

isbn = "9783642155147",

series = "IFIP Advances in Information and Communication Technology",

publisher = "Springer",

number = "335",

pages = "169--176",

editor = "Hiroshi Takeda",

booktitle = "First IMIA/IFIP Joint Symposium, E-Health 2010, Held as Part of WCC 2010",

note = "E-Health 2010: First IMIA/IFIP Joint Symposium within WCC 2010: World Computer Conference 2010 ; Conference date: 20-09-2010 Through 23-09-2010",

}

Billingsley, W, Gallois, C, Smith, A, Marks, T, Bernal, F & Watson, M 2010, Towards a Diagnostic Toolbox for Medical Communication. in H Takeda (ed.), First IMIA/IFIP Joint Symposium, E-Health 2010, Held as Part of WCC 2010. IFIP Advances in Information and Communication Technology, no. 335, Springer, Germany, pp. 169-176, E-Health 2010: First IMIA/IFIP Joint Symposium within WCC 2010: World Computer Conference 2010, Brisbane, Australia, 20/09/10. https://doi.org/10.1007/978-3-642-15515-4_18

Towards a Diagnostic Toolbox for Medical Communication. / Billingsley, William; Gallois, Cindy; Smith, Andrew et al.
First IMIA/IFIP Joint Symposium, E-Health 2010, Held as Part of WCC 2010. ed. / Hiroshi Takeda. Germany: Springer, 2010. p. 169-176 (IFIP Advances in Information and Communication Technology; No. 335).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Towards a Diagnostic Toolbox for Medical Communication

AU - Billingsley, William

AU - Gallois, Cindy

AU - Smith, Andrew

AU - Marks, Timothy

AU - Bernal, Fernando

AU - Watson, Marcus

PY - 2010/12/31

Y1 - 2010/12/31

N2 - 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.

AB - 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.

KW - Artificial Intelligence and Image Processing

KW - Computer-Human Interaction

KW - Medicine, Nursing and Health Curriculum and Pedagogy

U2 - 10.1007/978-3-642-15515-4_18

DO - 10.1007/978-3-642-15515-4_18

M3 - Conference contribution

SN - 9783642155147

SN - 9783642155154

T3 - IFIP Advances in Information and Communication Technology

SP - 169

EP - 176

BT - First IMIA/IFIP Joint Symposium, E-Health 2010, Held as Part of WCC 2010

A2 - Takeda, Hiroshi

PB - Springer

CY - Germany

T2 - E-Health 2010: First IMIA/IFIP Joint Symposium within WCC 2010: World Computer Conference 2010

Y2 - 20 September 2010 through 23 September 2010

ER -

Towards a Diagnostic Toolbox for Medical Communication

Abstract

Publication series

Conference

UN SDGs

Keywords

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