HealthTech July 22, 2025
Healthcare organizations must embed proactive, systemwide data risk management into AI and digital strategies to protect sensitive information, ensure compliance and enable secure, scalable innovation.
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, compliant environments that allow data to flow safely into the AI models and...
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