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Cyber resilience in healthcare is evolving beyond uptime, focusing on ensuring clinicians can safely deliver care even when critical systems fail.

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What Healthcare Organizations Can Learn from NIST's AI Risk Management Framework

Healthcare organizations concerned about the security risks from tools powered by artificial intelligence need clear guidance.

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CTEM for Healthcare: A Guide to Continuous Threat Exposure Management

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HIMSS26: Understanding Clinical Care Resilience as an Ongoing Process

Healthcare organizations today are facing documentation overload, clinical burnout and rising operational costs. Dragon Copilot directly addresses all three by shifting clinicians from writing notes to simply reviewing them.”

Ray Abji, Microsoft Senior Sales Brand Manager, CDW

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Healthcare organizations must strengthen their governance structure so that team members don’t introduce unvetted solutions into their environment.

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HIMSS26: Optimize Hybrid Infrastructure To Accelerate Healthcare Innovation

Cloud migration has been a major focus for healthcare organizations over the years, but an optimized, hybrid model is needed to support artificial intelligence initiatives.
HIMSS26: Innovation That Elevates Patient Engagement

Healthcare organizations are connecting with patients where they are in new ways that don’t put additional burden on clinicians and staff.
HIMSS26: The Risks and Rewards of Agentic Artificial Intelligence

While agentic AI tools can help healthcare organizations automate tasks and improve workflows; it should be operated with a human in the loop.
HIMSS26: What Health Systems Need To Know About Microsoft Dragon Copilot

The artificial intelligence assistant streamlines clinical workflows and improves documentation.
HIMSS25: The Building Blocks of Healthcare AI Success

Before healthcare organizations implement artificial intelligence tools, they need foundational technology and policies in place and a culture ready to embrace innovation.

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