How health IT's leading innovators are using AI now, and where they see it going

As health systems deploy AI – using it for everything from simple process automations, to helping reduce provider burden, to advanced clinical decision support models, to expanding the possibilities of patient care – they're confronting some key challenges, such as algorithmic bias, model transparency and sometimes clinician mistrust.

But they're also gaining big benefits in quality improvement, cost efficiency and more. And many forward-thinking CIOs and other technology leaders see how fast AI tools are evolving, and they are looking excitedly to a future where further clinical innovation will occur at rapid speed. In this regularly updated page, we offer their perspectives and advice.