Artificial Intelligence

Health systems evaluating AI must look beyond datasets and algorithms to understand the assumptions and priorities embedded within the applications themselves.

Aga Khan University combined a decade of Kenyan healthcare data so it can be mined to help provide more preventive care, says Farhana Alarakhiya, 2026 Changemaker Awardee and the university's chief data innovation officer.

Apple has been weaving AI and machine learning to give insights to both people and clinicians, says Dr. Sumbul Ahmad Desai, VP of Health and Fitness.

McLeod Health approached AI deployment with a focus on removing friction from clinical workflows rather than chasing financial returns, says CMIO Bryon Frost.

Mass General Brigham's AI deployment, ASTP/ONC's health data ecosystem and patient concerns about how ambient AI systems store and use their data were among the topics from the first official day of HIMSS26.

Jon McNeill, DVX Ventures CEO, and Dr. John Halamka, Mayo Clinic Platform president, spoke at HIMSS26 on accelerating breakthroughs and scaling successful AI deployment; learn more about the day's events in this short video.

Kaiser Permanente's Surya Shenoy and Jerri Westphal call for collaboration between professional nursing groups, academia and policymakers to ensure that nurses help shape the future of clinical AI and are educated in using it.

Healthcare is one of the few areas where technology adds time, says Dr. Brian Silverstein of Innovaccer.

Even with advances in governance and workforce development, global health systems have achieved about 65% of the key indicators needed for AI readiness, explains Anne Snowdon, HIMSS' chief scientific research officer.

AI exposes chaos when fragmented data and broken workflows become more visible during automation, says Michael Vipond of ServiceNow.