As healthcare organizations adopt artificial intelligence for clinical decision-making, diagnostics and patient engagement, they face growing scrutiny over how they manage the underlying data powering these advances. With high-value health data increasingly targeted by cybercriminals — and internal systems under pressure to support interoperability, AI modeling and analytics at scale — the need for robust, proactive data risk management is reaching a critical juncture. Healthcare CIOs and IT leaders must not only ensure sensitive patient information is protected but also create secure,…

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