AI Governance in Healthcare for Managing Operational Risk, Data Quality, and Process Consistency
Healthcare leaders are under pressure to scale AI without increasing compliance exposure, operational variability, or data quality failures. This article outlines a practical governance model for Enterprise AI in healthcare, showing how CIOs, CTOs, architects, and ERP partners can align AI-powered ERP, clinical-adjacent operations, and cloud-native controls to improve decision quality, process consistency, and risk management.