Sorry, you need to enable JavaScript to visit this website.
Skip to main content
Study

Clinical decision support alert malfunctions: analysis and empirically derived taxonomy.

Wright A, Ai A, Ash JS, et al. Clinical decision support alert malfunctions: analysis and empirically derived taxonomy. J Am Med Inform Assoc. 2018;25(5):496-506. doi:10.1093/jamia/ocx106.

Save
Print
November 1, 2017
Wright A, Ai A, Ash JS, et al. J Am Med Inform Assoc. 2018;25(5):496-506.
View more articles from the same authors.

Clinical decision support (CDS) includes electronic alerts that can prevent errors. Excessive or erroneous alerts may lead to alert fatigue or other unintended consequences. Researchers used a blend of qualitative methods such as interviews and quantitative data like alert rates to develop a taxonomy of CDS alert errors. The taxonomy includes the origin of the error, which most commonly occurred with introduction of a new decision support rule, and describes the underlying reason for the error, such as problems with new terms, conceptualization, and building the rule as intended. Errors could cause an alert to fail to appear for a relevant situation or could cause an irrelevant or erroneous alert to appear. Most errors came to light through reports from users. The authors recommend classifying CDS alert errors using this taxonomy so that safety efforts will be consistent and actionable.

Save
Print
Cite
Citation

Wright A, Ai A, Ash JS, et al. Clinical decision support alert malfunctions: analysis and empirically derived taxonomy. J Am Med Inform Assoc. 2018;25(5):496-506. doi:10.1093/jamia/ocx106.

Related Resources From the Same Author(s)
Related Resources