Integration of an OWL-DL knowledge base with an EHR prototype and providing customized information

Jing, X, Kay, S, Marley, T and Hardiker, NR 2014, 'Integration of an OWL-DL knowledge base with an EHR prototype and providing customized information' , Journal of Medical Systems, 38 (9) , pp. 1-14.

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When clinicians use electronic health record (EHR) systems, their ability to obtain general knowledge is often an important contribution to their ability to make more informed decisions. In this paper we describe a method by which an external, formal representation of clinical and molecular genetic knowledge can be integrated into an EHR such that customized knowledge can be delivered to clinicians in a context-appropriate manner. Web Ontology Language-Description Logic (OWL-DL) is a formal knowledge representation language that is widely used for creating, organizing and managing biomedical knowledge through the use of explicit definitions, consistent structure and a computer-processable format, particularly in biomedical fields. In this paper we describe: 1) integration of an OWL-DL knowledge base with a standards-based EHR prototype, 2) presentation of customized information from the knowledge base via the EHR interface, and 3) lessons learned via the process. The integration was achieved through a combination of manual and automatic methods. Our method has advantages for scaling up to and maintaining knowledge bases of any size, with the goal of assisting clinicians and other EHR users in making better informed health care decisions.

Item Type: Article
Themes: Health and Wellbeing
Schools: Schools > School of Health and Society > Centre for Applied Research in Health, Welfare and Policy
Journal or Publication Title: Journal of Medical Systems
Publisher: Springer US
Refereed: Yes
ISSN: 0148-5598
Related URLs:
Funders: Overseas Research Students Awards Scheme (UK), National Library of Medicine and the Clinical Center of the National Institutes of Health (USA)
Depositing User: NR Hardiker
Date Deposited: 12 Aug 2014 10:41
Last Modified: 27 Aug 2021 23:10

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