Leadership
Sandra Johnson, CliniComp senior vice president, says keeping data in a single longitudinal system makes it easier to prove AI's positive impact on metrics such as shorter stays, fewer readmissions and higher patient satisfaction.
Industry leaders say 2025 marked AI’s shift from hype to practical impact, though the technology remains unready for full-scale adoption and ongoing concerns about ethics and bias persist.
Ernst & Young's Kim Dalla Torre offers a fresh look at artificial intelligence in healthcare, the biggest ROI and adoption gains in telehealth and remote patient monitoring, closing health disparities, and compliance and cybersecurity.
Government regulation can slow health systems' AI progress; Ed Marx, Marx Advisory CEO, says showing policymakers AI's real-world benefits in person can help them understand its value more than traditional lobbying.
Lisa Suennen, managing partner at American Heart Association Ventures, and Ruby Gadelrab, CEO and founder of MDisrupt, explores next steps after AHA's $1 million milestone investment into MDisrupt, including plans to co-develop a platform.
Chris Kunney of IOTech Consulting says that chief AI officers must unite clinicians, C-suite leaders, IT teams and frontline staff to understand and use AI to drive innovation and enhance care delivery.
Creating strong healthcare IT teams, according to Dr. Jonathan Sternlieb, Epic Emeritus CMIO, comes from being willing to learn from others and from building communication, trust and respect with colleagues.
In this special hour-long episode, recorded in Chicago at the inaugural event, our hosts and guests offer a wide-ranging discussion about smart AI investments and strategic alignment. Produced in collaboration with the Straight Outta Health IT podcast.
Dr. Hassan Tetteh of the Johns Hopkins Center for Digital Health and AI says that agentic AI has the potential to surpass human intelligence and change the way we work, but can also enable personalized, more patient-driven healthcare.
According to Dr. R. Ryan Sadeghian, healthcare AI thrives best on small, steady successes in areas like ambient documentation where clinician trust and workflow fit matter more than having the latest model.