Why Healthcare’s AI Winners Won’t Be the Best Predictors, They’ll Be the Best Orchestrators

Artificial intelligence is rapidly shaping the next phase of healthcare transformation. Yet across hospitals and health systems, the results remain uneven. Predictive models routinely perform well in pilots but fail to deliver sustained clinical or operational impact. The difference between promise and performance no longer lies in algorithm design; it lies in how organizations act on what those algorithms predict.