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

Predicting self-intercepted medication ordering errors using machine learning.

King CR, Abraham J, Fritz BA, et al. Predicting self-intercepted medication ordering errors using machine learning. PLoS One. 2021;16(7):e0254358. doi:10.1371/journal.pone.0254358.

Save
Print
September 1, 2021
King CR, Abraham J, Fritz BA, et al. PLoS One. 2021;16(7):e0254358.
View more articles from the same authors.

Analysis of canceled medication orders has been used to estimate medication ordering errors. Using the same dataset analyzed in their 2017 study, the authors update the analysis using machine learning to predict medication ordering errors and associated factors. Results indicate machine learning may be useful in understanding risk factors involved with medication ordering errors.

Save
Print
Cite
Citation

King CR, Abraham J, Fritz BA, et al. Predicting self-intercepted medication ordering errors using machine learning. PLoS One. 2021;16(7):e0254358. doi:10.1371/journal.pone.0254358.