Healthcare Technology News & Trends | HealthTech Magazine

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Artificial Intelligence

A Look Into an Upcoming AI-Powered Surgical Performance Center

Precision is imperative in surgical environments. A new facility deeply integrated with artificial intelligence aims to optimize the operating room.

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Cloud

How Healthcare Organizations Can Go From Technical Debt to a Hybrid Infrastructure That Supports Innovation

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Digital Workspace

From Call Center to Care Center: How Hospitals Mature in Their Approach to Patient Experience

Medical wearables

Security

FDA Tightens Its Medical Device Cybersecurity Guidance for Manufacturers

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Data Analytics

How Can More Efficient Data Sharing Improve Patient Care Plans?

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Data Analytics

The Building Blocks of Data Literacy for Healthcare

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Management

What Are Rural Healthcare IT Priorities In a Changing Funding Landscape?

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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Patient-Centered Care

The Connected Care Continuum: Enhancing Patient Care Across Settings

Data Analytics

How Healthcare Organizations Can Benefit From Predictive Scheduling Systems

Security

Healthcare Cyber Resilience: A Comprehensive Security and Recovery Guide

Security

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

Security

CTEM for Healthcare: A Guide to Continuous Threat Exposure Management

Artificial Intelligence

How to Address Shadow AI in Healthcare

Cloud

HIMSS26: Optimize Hybrid Infrastructure To Accelerate Healthcare Innovation

Artificial Intelligence

Understanding AI Inferencing at the Edge in Healthcare

Patient-Centered Care

HIMSS26: Innovation That Elevates Patient Engagement

Security

HIMSS26: Understanding Clinical Care Resilience as an Ongoing Process

Artificial Intelligence

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rural landscape

Artificial Intelligence

AI in Rural and Critical Access Healthcare: Closing the Technology Gap

Practical, high-impact artificial intelligence strategies can help rural hospitals improve care and cash flow.

surgeons in the operating room

Artificial Intelligence

A Look Into an Upcoming AI-Powered Surgical Performance Center

silhouette of hooded figure on phone

Artificial Intelligence

How to Address Shadow AI in Healthcare

women on computer with digital brain

Artificial Intelligence

Understanding AI Inferencing at the Edge in Healthcare

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.

Keep Reading

Patient-Centered Care

HIMSS 2017: Innovation, Security Leaving their Mark in Healthcare

Patient-Centered Care

HIMSS 2017: Culture, Technology Drive Shifts in Patient Engagement

Hardware

HIMSS 2017: For Senior Living, Wearables Demonstrate Growing Importance

Security

HIMSS 2017: Healthcare Organizations Cultivate Their Cybersecurity Strategies

Cloud

HIMSS 2017: Dissecting the Challenge of Cloud Security

Software

HIMSS 2017: IBM CEO Touts Watson as Taking the Lead in Guiding the Cognitive Learning Era

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