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The qualified health information network has shrunk the time it takes for providers to access patient data from hours to seconds. Its query volume has grown from about 200,000 to more than 66 million in one year.

Andy Sajous, a leader in digital transformation, explains. He discusses the trade-offs of building versus buying artificial intelligence tools and describes some crucial actions CIOs should take going into 2025.

AI-enabled computer vision could be a game-changer, says one CEO, who also discusses the risks of generative AI and the promise of automated transcription, which is already proving itself.

Health CIOs shared outcomes, considerations, and success factors in implementing new technologies to advance care.

Under the White House’s National Cancer Moonshot initiative, Oracle will contribute cloud, artificial intelligence and machine learning expertise, as well as clinical and healthcare research, care delivery and scientific insights.

One approach could avoid existing data silos and system-based barriers for information sharing, an expert says, enabling new processes and workflows while offering opportunities for better patient experience and reduced costs.

While traditionally deeply skeptical of artificial intelligence in clinical settings, in today's fast-changing care delivery landscape many physicians are thinking more proactively about how AI can improve quality and patient experience.

A new JAMIA study found that more than 6 million messages related to COVID-19 were sent using the Watson Assistant platform between March 30 and August 10 of this year.

A KLAS report finds that most health systems rely on a mishmash of artificial intelligence and machine learning tools to meet their needs.