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Modelling virtual patients and generating feedback using semantic web technologies

Modelling virtual patients and generating feedback using semantic web technologies
Modelling virtual patients and generating feedback using semantic web technologies
A variety of computer programs called virtual patients systems are available today. Virtual patients are designed to emulate realistic clinical cases on a computer, and help students to practice diagnosis and clinical reasoning. They are used as an integral part of the curriculum in many medical schools. However, the technologies currently used to build virtual patients present limitations. Feedback has to be edited manually by medical experts, and the feedback provided is often not adapted to each student's interactions with the virtual patient. This makes creating and editing a virtual patient time-consuming, and limits its pedagogical impact. This presentation demonstrates research on automatic feedback generation for virtual patients, using a group of methods and technologies collectively known as the semantic web. The semantic web is designed to formally represent information about digital documents and other resources (such as people and events) using RDF (Resources Description Framework). It is also possible to describe concepts, classify them and define their properties using OWL (Web Ontology Language). These formal languages also allow re-use of data from external sources from the web. To generate feedback, an adequate computer model has to be designed to represent virtual patients and students’ interactions. The semantic web allows rich data modelling, and is therefore superior to traditional data technologies such as relational databases and XML for this purpose.
virtual patients elearning medical education Semantic web OWL RDF
Duboc, Jean-Remy
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Choi, Sunhea
ddffe90e-fc2c-47b5-8b9c-2196ee1bfd05
Weal, Mark
e8fd30a6-c060-41c5-b388-ca52c81032a4
Davis, Hugh
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b
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) Modelling virtual patients and generating feedback using semantic web technologies. ASME Annual Scientific Meeting, , Edinburgh, United Kingdom. 13 - 15 Jul 2011. (In Press)

Record type: Conference or Workshop Item (Other)

Abstract

A variety of computer programs called virtual patients systems are available today. Virtual patients are designed to emulate realistic clinical cases on a computer, and help students to practice diagnosis and clinical reasoning. They are used as an integral part of the curriculum in many medical schools. However, the technologies currently used to build virtual patients present limitations. Feedback has to be edited manually by medical experts, and the feedback provided is often not adapted to each student's interactions with the virtual patient. This makes creating and editing a virtual patient time-consuming, and limits its pedagogical impact. This presentation demonstrates research on automatic feedback generation for virtual patients, using a group of methods and technologies collectively known as the semantic web. The semantic web is designed to formally represent information about digital documents and other resources (such as people and events) using RDF (Resources Description Framework). It is also possible to describe concepts, classify them and define their properties using OWL (Web Ontology Language). These formal languages also allow re-use of data from external sources from the web. To generate feedback, an adequate computer model has to be designed to represent virtual patients and students’ interactions. The semantic web allows rich data modelling, and is therefore superior to traditional data technologies such as relational databases and XML for this purpose.

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More information

Accepted/In Press date: April 2011
Venue - Dates: ASME Annual Scientific Meeting, , Edinburgh, United Kingdom, 2011-07-13 - 2011-07-15
Keywords: virtual patients elearning medical education Semantic web OWL RDF
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 272313
URI: http://eprints.soton.ac.uk/id/eprint/272313
PURE UUID: 2db6111b-1608-4e6f-aef9-475b53946fcf
ORCID for Mark Weal: ORCID iD orcid.org/0000-0001-6251-8786
ORCID for Hugh Davis: ORCID iD orcid.org/0000-0002-1182-1459

Catalogue record

Date deposited: 21 May 2011 11:36
Last modified: 15 Mar 2024 02:46

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Contributors

Author: Jean-Remy Duboc
Author: Sunhea Choi
Author: Mark Weal ORCID iD
Author: Hugh Davis ORCID iD

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