Healthcare providers struggle with AI implementation failures after EMR disappointments

Healthcare organizations are hesitant to adopt AI solutions because previous large-scale healthcare technology implementations (like EMRs) created massive disruption, cost overruns, and workflow problems that took years to resolve. Clinicians and administrators fear repeating the same expensive mistakes with AI, but lack frameworks to evaluate and safely implement AI without repeating past failures. Current AI vendors don't address this institutional trauma or provide proven implementation methodologies.