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Digital Health

By HIMSS TV | 10:29 am | March 20, 2026
According to Sumit Nagpal, Cherish CEO, the company's smart device detects patient vitals such as heart rate and uses AI to track daily patterns, surfacing subtle signals of decline so clinicians can proactively manage care.
By Susan Morse | 11:20 am | March 18, 2026
The health plan partnered with mPulse for digital access to physical and mental health support.
By HIMSS TV | 09:59 am | March 18, 2026
Amid workforce shortages and demand for care, devices, apps and remote monitoring will transform homes into healthcare hubs to ease pressure on clinicians while expanding care access, according to HIMSS CEO Hal Wolf.
By Susan Morse | 11:07 am | March 16, 2026
Majority of physicians use AI to stay on top of medical research, create discharge instructions, document medical visits and more, says new AMA survey.
By HIMSS TV | 10:28 pm | March 12, 2026
The last day of the global conference featured high-profile keynotes from CMS' Dr. Mehmet Oz and actor Jeremy Renner as well as insightful discussions that ranged from AI to home monitoring devices.
By HIMSS TV | 08:02 pm | March 11, 2026
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.
By Susan Morse | 03:41 pm | March 11, 2026
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.
By HIMSS TV | 04:57 pm | March 10, 2026
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.
By Nathan Eddy | 04:16 pm | March 10, 2026
AI exposes chaos when fragmented data and broken workflows become more visible during automation, says Michael Vipond of ServiceNow.
By HIMSS TV | 09:52 am | March 06, 2026
Mount Sinai, ARC Innovation Center and Nvidia are collaborating to build AI models that can decode the human genome in order to accelerate breakthroughs in genetic therapies and personalized medicine.