SOURCE-LINKED INTELLIGENCE

R-GEAN: Regimen-Guided Edit Action Network for Within-Admission Medication Change Prediction

arXiv · AI, language, vision and robotics · article · Sep 19, 2026 · UTC

The medications prescribed to a patient often change during a hospital admission as clinicians start, stop, or continue therapies. We study whether models can predict which medication classes are added or removed between 24 hours after admission and discharge. Metrics that compare the complete discharge regimen can reward models for copying medications that remain unchanged, even when they identify no actual changes. We therefore introduce a leakage-controlled benchmark that predicts net ATC3 additions and removals using only prior completed admissions and information available within the firs

Read original source ↗ Open in workspace

recordType

paper

region

Global