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AI Governance in Healthcare for Managing Operational Risk, Data Quality, and Process Consistency

Healthcare organizations are under pressure to scale AI without increasing operational risk, data inconsistency, or compliance exposure. This article outlines a business-first governance model for healthcare AI, covering decision rights, data quality controls, process standardization, model oversight, human-in-the-loop workflows, and implementation priorities for enterprise leaders and partner ecosystems.