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Security

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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Security

CTEM for Healthcare: A Guide to Continuous Threat Exposure Management

The CTEM framework focuses on a continuous approach to vulnerability management that enables uninterrupted healthcare.

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Artificial Intelligence

How to Address Shadow AI in Healthcare

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Cloud

HIMSS26: Optimize Hybrid Infrastructure To Accelerate Healthcare Innovation

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Artificial Intelligence

Understanding AI Inferencing at the Edge in Healthcare

Kathrina Bidwel

Patient-Centered Care

HIMSS26: Innovation That Elevates Patient Engagement

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HIMSS26: Understanding Clinical Care Resilience as an Ongoing Process

Dr. Amish Desai

Artificial Intelligence

HIMSS26: The Risks and Rewards of Agentic Artificial Intelligence

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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Artificial Intelligence

HIMSS26: Other News From Around the Conference

Management

HIMSS26: Why Health Systems ‘Need To Get Into the Details’ of New Tech Adoption

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HIMSS26: What Health Systems Need To Know About Microsoft Dragon Copilot

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HIMSS26: Clarifying Governance for Ambient Clinical Documentation Tools

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HIMSS26: Strengthen the Muscle of AI Strategy With Clinical Insight

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Cloud-Based EHR Systems: Achieving Security and Migration Success

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Eaton Bolsters Hospital Defenses as Healthcare Cybersecurity Act Arrives

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OpenAI, HealthBench, Claude, and HIPAA Compliance: What Healthcare IT Needs to Know

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ViVE 2026: Strengthening Healthcare Security and Operational Resiliency

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Artificial Intelligence

How to Address Shadow AI in Healthcare

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

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Artificial Intelligence

Understanding AI Inferencing at the Edge in Healthcare

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Artificial Intelligence

HIMSS26: Other News From Around the Conference

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Videos

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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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