Summary
Provides vendor-agnostic best practices and evaluation methods for ambient clinical AI across procurement, consent and recording, data use, piloting, deployment, workforce preparation, governance, performance assessment, fairness, privacy, patient experience, and ongoing monitoring.
Healthcare Implications
Health systems should establish consent and withdrawal workflows, clarify audio and data retention and model-training practices, conduct local pilots, review generated documentation, prepare clinicians and staff, govern vendor updates and shadow use, and monitor safety, accuracy, equity, clinician well-being, and patient experience.