A practical framework for aligning clinicians, IT, and operations on a single healthcare AI initiative—covering scope, governance, validation, integration readiness, and change management through go-live and scaling.
A practical framework for aligning clinicians, IT, and operations on a single healthcare AI initiative—covering scope, governance, validation, integration readiness, and change management through go-live and scaling.
Learn the most common governance gaps that derail healthcare AI projects—regulatory and ethics alignment, data governance, stakeholder engagement, and lifecycle validation/monitoring—plus practical actions to close them.
Learn the most common governance gaps that derail healthcare AI projects—regulatory and ethics alignment, data governance, stakeholder engagement, and lifecycle validation/monitoring—plus practical actions to close them.
Hospitals spend millions on AI systems their clinicians still won’t use. The problem isn’t resistance—it’s broken trust. Here’s the real story behind failed AI rollouts and how to fix them.
AI is revolutionizing healthcare, but how can we ensure it strengthens clinical expertise rather than replacing it? Explore key strategies for designing AI that reinforces human judgment, prevents automation bias, and enhances decision-making.