A smart algorithm for the prevention and risk management of QTc prolongation based on the optimized RISQ‐PATH model

Aims QTc prolongation is a complex problem linked with multiple risk factors. The RISQ‐PATH score was previously developed to identify high‐risk patients for QTc prolongation. The aim of this study was to optimize and validate this risk score in a large patient cohort, and to propose an algorithm to generate smart QT signals in the electronic medical record.