Start simple. Run retrospective validation on historical records, then a shadow/prospective phase where the model runs alongside clinicians without changing care.

Use case reviews with clinicians, check calibration and false-positive/negative rates, and only roll out gradually with monitoring and clear escalation paths. For AI healthcare solutions, this real-world validation + clinician signoff is essential to safely move from pilot to production.