Development and validation of a machine learning-based clinical decision support tool for stratifying intravenous medication risk in hospitalized patients with heart failure.

Hospitalized patients with heart failure (heart failure) frequently receive multiple high-risk intravenous (intravenous) medications, placing them at a substantial risk of clinically significant drug-related problems (drug-related problems).

To develop and externally validate a clinically applicable machine learning-based stratification tool for classifying intravenous medication-related risk severity in hospitalized patients with heart failure and to support pharmacist-led medication safety management through a web-based clinical decision support tool.