Abstract

The Institute of Medicine has identified both computerized physician order entry and electronic prescription as keys to reducing medication errors and improving safety. Many computerized clinical decision support systems can enhance practitioner performance. However, the development of such systems involves a long cycle time that makes it difficult to apply them on a wider scale. This paper presents a suite of guideline modeling and execution tools, built on Protégé, Jess and Java technologies, which are easy to use, and also capable of automatically synthesizing clinical decision support systems for clinical practice guidelines of moderate complexity.

Original languageEnglish
Pages (from-to)288-294
Number of pages7
JournalComputer Methods and Programs in Biomedicine
Volume102
Issue number3
DOIs
Publication statusPublished - Jun 2011

Fingerprint

Clinical Decision Support Systems
Decision support systems
Medical Order Entry Systems
Electronic Prescribing
Guidelines
Medication Errors
National Academies of Science, Engineering, and Medicine (U.S.) Health and Medicine Division
Practice Guidelines
Medicine
Technology
Safety

Keywords

  • Clinical decision support system
  • Clinical practice guideline
  • Computerized physician order entry
  • Jess
  • Protégé

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Health Informatics

Cite this

Developing guideline-based decision support systems using protégé and jess. / Chen, Chieh-Feng; Chen, Kung; Hsu, Chien-Yeh; Li, Yu-Chuan.

In: Computer Methods and Programs in Biomedicine, Vol. 102, No. 3, 06.2011, p. 288-294.

Research output: Contribution to journalArticle

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