Integration of an OWL-DL Knowledge Base with an EHR Prototype and Providing Customized Information

Xia Jing, Stephen Kay, Tom Marley, Nicholas R Hardiker

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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.
Original languageEnglish
Article number75
Number of pages13
JournalJournal of Medical Systems
Volume38
Issue number9
Early online date6 Jul 2014
DOIs
Publication statusPublished - Sep 2014
Externally publishedYes

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