DocumentCode :
3195101
Title :
Ontologies for knowledge representation in a computer-based patient record
Author :
Bayegan, Elisabeth ; Nytrø, Øystein ; Grimsmo, Anders
Author_Institution :
Dept. of Comput. & Inf. Sci., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fYear :
2002
fDate :
2002
Firstpage :
114
Lastpage :
121
Abstract :
In contrast to existing patient-record systems, which merely offer static applications for storage and presentation, a helpful patient-record system is a problem-oriented, knowledge-based system, which provides clinicians with situation-dependent information. We propose a practical approach to extend the current data model with (1) means to recognize and interpret situations, (2) knowledge of how clinicians work and what information they need, and (3) means to rank information according to its relevance in a given care situation. Following the methodology of second-generation knowledge-based systems, that use ontologies to define fundamental concepts, their properties, and interrelationships within a particular domain, we present an ontology that supports three prerequisite features for a future helpful patient-record system: a family-care workflow process, a problem-oriented patient record, and means to identify relevant information to the care process and medical problems.
Keywords :
knowledge based systems; knowledge representation; medical administrative data processing; problem solving; computer-based patient record; helpful patient-record system; knowledge representation; ontologies; problem-oriented knowledge-based system; problem-oriented patient record; second-generation knowledge-based systems; situation-dependent information; Application software; Data mining; Data models; Diagnostic expert systems; Information science; Knowledge based systems; Knowledge representation; Medical diagnostic imaging; Medical expert systems; Ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings. 14th IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-7695-1849-4
Type :
conf
DOI :
10.1109/TAI.2002.1180795
Filename :
1180795
Link To Document :
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