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Artificial Intelligence

By HIMSS TV | 10:20 am | April 30, 2025
Unlearn looks at advancing disease-specific machine learning models to create a digital twin to help forecast longitudinal behaviors and this shapes more efficient clinical trials, says CEO Steven Herne.
By Susan Morse | 09:31 am | April 30, 2025
Revenue cycle teams are able to resolve billing inquiries faster through an automated AI call center.
By Jeff Lagasse | 02:53 pm | April 29, 2025
The ultimate goal is to streamline documentation and coding in the mid-revenue cycle.
By Susan Morse | 09:54 am | April 29, 2025
The health system and Optum Ventures are among more than 10 investors in physician-led AI company Humata Health.
HIMSS25
By HIMSS TV | 04:43 pm | April 28, 2025
Clalit Health Services created platforms that sit on physician desktops that give AI-insights in practice, says Chief Innovation Officer Ron Balicer.
By Jeff Lagasse | 03:42 pm | April 28, 2025
The new capabilities will allow Houston Methodist to address unique documentation and workflow challenges.
HIMSS25
By HIMSS TV | 04:01 pm | April 25, 2025
One of the first executive orders in the new administration was to rescind the former AI roadmap and call for the development of an AI action plan, says Jonathan French, HIMSS' senior director of public policy.
By HIMSS TV | 10:26 am | April 22, 2025
Called "Advancing AI Driven Digital Health Transformation in the Middle East," the event is designed to highlight the momentum in the region that's becoming a test bed for scalable, responsible AI solutions, says Dr. Tamara Sunbul, chair of HIMSS Middle East Community and a digital health transformation and innovation strategic advisor.
By HIMSS TV | 09:48 am | April 15, 2025
Because AI is a technology that will solve a business problem, IT execs looking to become a Chief AI Officer need to focus on the business side of the house to understand the problem, says Sameer Sethi, SVP and chief AI and insights officer at Hackensack Meridian Health.
HIMSS25
By HIMSS TV | 10:47 am | April 14, 2025
Medtech companies must make sure that AI algorithms reflect the patient population they're serving and know the clinical decisions these algorithms are making, says Peter Shen, North America head of digital and automation at Siemens Healthineers.