Healthcare organizations are struggling to scale AI because fragmented, low-quality, and poorly governed data undermines model accuracy, compliance, and operational efficiency. Informatica’s white paper argues that trusted data — built on five pillars: accuracy, integration, security, explainability, and accessibility — is the foundation for scalable, responsible healthcare AI. The paper outlines a five-step framework for transforming raw data into trusted intelligence through automated integration, data quality, governance, compliance, and real-time AI delivery. Informatica’s cloud-native Intelligent Data Management Cloud (IDMC), powered by CLAIRE AI, helps reduce manual data preparation, improve model accuracy, accelerate deployment, and lower compliance risk. Real-world use cases span providers, payers, and life sciences, enabling predictive analytics, fraud detection, operational optimization, and personalized care.

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