Healthcare AI often fails due to poor implementation, not flawed technology. Success requires aligning AI solutions with existing metrics, understanding the type of AI being implemented, and starting with small, measurable pilots. Effective implementation also involves integrating AI with existing systems, training for adoption, and building a clear ROI model before going live.
