AI Article Synopsis
- The Institute of Medicine highlights computerized physician order entry and electronic prescriptions as essential for reducing medication errors and enhancing safety.
- While computerized clinical decision support systems can improve practitioner performance, their development is time-consuming and challenging to implement widely.
- The paper introduces user-friendly guideline modeling and execution tools powered by Protégé, Jess, and Java, which can automatically create clinical decision support systems for moderately complex clinical practice guidelines.
Article 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.
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| http://dx.doi.org/10.1016/j.cmpb.2010.05.010 | DOI Listing |
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