| Author(s) |
Billingsley, William
Gallois, Cindy
Smith, Andrew
Marks, Timothy
Bernal, Fernando
Watson, Marcus
|
| Publication Date |
2010
|
| 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.
|
| Citation |
First IMIA/IFIP Joint Symposium, E-Health 2010, Held as Part of WCC 2010, p. 169-176
|
| ISBN |
9783642155147
9783642155154
|
| Link | |
| Language |
en
|
| Publisher |
Springer
|
| Series |
IFIP Advances in Information and Communication Technology
|
| Title |
Towards a Diagnostic Toolbox for Medical Communication
|
| Type of document |
Conference Publication
|
| Entity Type |
Publication
|
| Name | Size | format | Description | Link |
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