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SPONSORED
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01:00 pm |
May 06, 2026
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01:00 pm |
May 06, 2026
According to recent HIMSS Market Insights research, 86% of healthcare leader respondents agreed that interoperability without data preparation provides limited value for analytics or artificial intelligence (AI).
SPONSORED
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09:00 am |
April 29, 2026
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09:00 am |
April 29, 2026
How clinicians, academia and industry can help startups succeed.
Hauora Māori Service senior ICT specialist Troy Baker shares how his team took a culturally grounded approach to implementing the Microsoft 365 Copilot.
Sharing data between systems is only useful if it can make a clinical difference at the point of care and improve people's lives, according to behavioral health providers and health IT executives convened by ONC.
SPONSORED
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09:15 am |
April 28, 2026
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09:15 am |
April 28, 2026
How leveraging AI can help build a resilient foundation for the future.
Citing concerns about patient safety risks, the state's medical licensing board asks the Utah Office of Artificial Intelligence Policy to suspend its automated prescription pilot with health AI developer Doctronic.
Interoperability is improving, but artificial intelligence is exposing the difference between merely exchanging data and actually making data usable, one consultant said.
Artificial intelligence is becoming so user-friendly that doctors can code custom clinical workflow tools. But AI-driven vulnerability discovery is fast reshaping cybersecurity imperatives for IT leaders.
Dr. Christopher R. Cogle, director of the Florida Health Policy Leadership Academy, says designing systems for the most complex and vulnerable populations has created advances for healthcare information technology.
AI is no longer a pilot conversation. It is a board-level mandate. The real challenge is not experimentation. It is scaling responsibly, aligning stakeholders, and turning intelligence into measurable enterprise performance.
