Foundation models can effectively predict clinical outcomes from EHR data, but scaling model size alone doesn't improve performance—you need proportionally more training data, and careful handling of repeated events is critical to avoid inflated evaluation metrics.
RAVEN is a foundation model trained on electronic health records (EHRs) from over one million patients to predict what clinical events will happen at a patient's next visit.