Ontologies for knowledge representation in a computer-based patient record

被引:2
作者
Bayegan, E [1 ]
Nytro, O [1 ]
Grimsmo, A [1 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Comp & Informat Sci, Dept Community Med & Gen Practice, NO-7491 Trondheim, Norway
来源
14TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2002年
关键词
D O I
10.1109/TAI.2002.1180795
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:114 / 121
页数:8
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