Semantic virtual patients: using semantic web technology to improve virtual patients for medical education
Semantic virtual patients: using semantic web technology to improve virtual patients for medical education
This poster presents an interdisciplinary project on virtual patients. Virtual patients are systems designed to help medical students practice their clinical skills in a safe environment, using feedback provided by the system to reflect on their clinical decisions. A review of existing virtual patient systems has been conducted, and limitations in terms of feedback have been identified in existing systems. This paper proposes that semantic web technologies will help to alleviate some of these limitations. A new virtual patient system has been designed, and semantic web technologies are used in order to benefit from existing semantic data already available on the web, thus facilitating the virtual case editing process. Semantic data is also used to generate automated feedback according to each student’s choice of interview questions and examinations.
virtual patients elearning medical education Semantic web OWL RDF
Duboc, Jean-Remy
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Choi, Sunhea
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Weal, Mark
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Davis, Hugh
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Duboc, Jean-Remy
f358dcb8-48ac-41e7-ac23-80ae5b9c8992
Choi, Sunhea
ddffe90e-fc2c-47b5-8b9c-2196ee1bfd05
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4
Davis, Hugh
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b
Duboc, Jean-Remy, Choi, Sunhea, Weal, Mark and Davis, Hugh
(2011)
Semantic virtual patients: using semantic web technology to improve virtual patients for medical education.
3rd international conference on web science, , Koblenz, Germany.
14 - 17 Jun 2011.
(In Press)
Record type:
Conference or Workshop Item
(Poster)
Abstract
This poster presents an interdisciplinary project on virtual patients. Virtual patients are systems designed to help medical students practice their clinical skills in a safe environment, using feedback provided by the system to reflect on their clinical decisions. A review of existing virtual patient systems has been conducted, and limitations in terms of feedback have been identified in existing systems. This paper proposes that semantic web technologies will help to alleviate some of these limitations. A new virtual patient system has been designed, and semantic web technologies are used in order to benefit from existing semantic data already available on the web, thus facilitating the virtual case editing process. Semantic data is also used to generate automated feedback according to each student’s choice of interview questions and examinations.
Text
wwbsci2011_jrduboc.doc
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More information
Accepted/In Press date: April 2011
Venue - Dates:
3rd international conference on web science, , Koblenz, Germany, 2011-06-14 - 2011-06-17
Keywords:
virtual patients elearning medical education Semantic web OWL RDF
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 272308
URI: http://eprints.soton.ac.uk/id/eprint/272308
PURE UUID: 6c791bfb-61a8-47e5-a106-2c5c37fe6609
Catalogue record
Date deposited: 21 May 2011 11:42
Last modified: 15 Mar 2024 02:46
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Contributors
Author:
Jean-Remy Duboc
Author:
Sunhea Choi
Author:
Mark Weal
Author:
Hugh Davis
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