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As artificial intelligence and other digital health technologies make their mark, provider organizations need to pursue "organizational ambidexterity." Here's what that means, along with six tips for achieving it.

Using artificial intelligence in radiology for the first time can be daunting, says one AI and imaging expert in a preview of his HIMSS25 session, but the advantages are substantial.

The World Health Organization's new genAI chatbot highlights the need for caution and responsibility when deploying and using such technologies.

To help health IT leaders address the risks associated with AI, here are some key steps to help approach digital transformation in a safe and sustainable way.

Fundamental issues related to executive support, staff buy-in and patient risk stratification need to be understood and addressed before machine learning applications can help with population health goals.

Maybe it's time for a discussion about what people want from the U.S. healthcare system.

After nearly 20 years as a CIO, I've learned that even with the best people, best planning and appropriate budgets, large, complex projects encounter issues imposed by external factors that cannot be predicted during initial project scheduling.

Anyone who understands the importance of continuity of care knows that health information exchange is essential. How are we supposed to cut waste and duplication from the healthcare system and truly focus on patient welfare if doctor B has no idea what tests doctor A conducted, or what the results were?