Cardiology hospital admission risk prediction: training, internal validation and technical implementation in the electronic health record.

Accurate risk estimation using routinely collected electronic health record (electronic health record) data may support more individualized follow-up planning by identifying patients at very low risk of mortality or unplanned hospitalization, in whom follow-up intervals could be safely extended.

The retrospective baseline cohort comprised 307 792 outpatient visits from 52 989 unique patients at Amsterdam UMC.

The primary endpoint was a composite of unplanned cardiac hospitalization or all-cause death within 2 years; the 1-year composite endpoint served as a secondary outcome.