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

Grand rounds in methodology: key considerations for implementing machine learning solutions in quality improvement initiatives.

Verma AA, Trbovich PL, Mamdani MM, et al. Grand rounds in methodology: key considerations for implementing machine learning solutions in quality improvement initiatives. BMJ Qual Saf. 2024;33(2):121-131. doi:10.1136/bmjqs-2022-015713.

Save
Print
January 31, 2024
Verma AA, Trbovich PL, Mamdani MM, et al. BMJ Qual Saf. 2024;33(2):121-131.
View more articles from the same authors.

Artificial intelligence and machine learning present both opportunities and threats to patient safety. This article highlights machine learning applications in quality improvement and patient safety (e.g., decision support) and practice considerations before deploying machine learning applications (e.g., presence of underlying biases). The authors provide several recommendations for optimizing implementation of machine learning applications in healthcare settings.

Save
Print
Cite
Citation

Verma AA, Trbovich PL, Mamdani MM, et al. Grand rounds in methodology: key considerations for implementing machine learning solutions in quality improvement initiatives. BMJ Qual Saf. 2024;33(2):121-131. doi:10.1136/bmjqs-2022-015713.

Related Resources From the Same Author(s)
Related Resources