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14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02)
Ontologies for Knowledge Representation in a Computer-Based Patient Record
Washington, DC
November 04-November 06
ISBN: 0-7695-1849-4
Elisabeth Bayegan, Norwegian University of Science and Technology
Øystein Nytrø, Norwegian University of Science and Technology
Anders Grimsmo, Norwegian University of Science and Technology
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.
Citation:
Elisabeth Bayegan, Øystein Nytrø, Anders Grimsmo, "Ontologies for Knowledge Representation in a Computer-Based Patient Record," ictai, pp.114, 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'02), 2002
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