Developing guideline-based decision support systems using protégé and jess

Authors:
Chiehfeng (Cliff) Chen;Kung Chen;Chien-Yeh Hsu;Yu-Chuan (Jack) Li
Affiliations:
Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taiwan and Department of Surgery, Taipei Medical University - Wan Fang Hospital, Taiwan and Graduate Institu ...;Department of Computer Science, National Chengchi University, Taiwan;Graduate Institute of Biomedical Informatics, Taipei Medical University, Taiwan;Graduate Institute of Biomedical Informatics, Taipei Medical University, Taiwan and Department of Dermatology, Taipei Medical University - Wan Fang Hospital, Taiwan
Venue:
Computer Methods and Programs in Biomedicine
Year:
2011

Citing 4
Cited 2

Design patterns: elements of reusable object-oriented software

Design patterns: elements of reusable object-oriented software
The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility

EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Building a portable data and information interoperability infrastructure-framework for a standard Taiwan Electronic Medical Record Template

Computer Methods and Programs in Biomedicine
A guideline-based decision support for pharmacological treatment can improve the quality of hyperlipidemia management

Computer Methods and Programs in Biomedicine

Integrating reasoning and clinical archetypes using OWL ontologies and SWRL rules

Journal of Biomedical Informatics
Ontology-driven execution of clinical guidelines

Computer Methods and Programs in Biomedicine

Quantified Score

Hi-index	0.01

Visualization

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 Protege, 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.