Prof Gillie Gabay

AI is transforming healthcare by improving diagnostic accuracy, efficiency, and clinical decision-making, but excessive reliance on automated systems risks weakening physicians’ critical thinking and independent judgment. Preserving clinical expertise requires human oversight, transparent protocols, and AI tools designed to support rather than replace medical reasoning.

Hospitals are evolving from healthcare providers into innovation hubs that connect clinical care, research, and industry. By combining human-centered AI, internal governance, innovation labs, and strategic use of clinical data, healthcare institutions can improve patient outcomes, reduce operational pressures, and create sustainable models for medical innovation.

Generative AI can reduce clinical documentation burdens and improve communication efficiency, but its use introduces risks involving inaccurate outputs, automation bias, privacy, liability, and patient trust. Safe deployment requires mandatory human verification, transparent patient disclosure, strong data protections, and continuous auditing to ensure efficiency gains do not compromise clinical quality or safety