Artificial Intelligence
Using AI-enabled analytics has allowed Ministry of National Guard Health Affairs in Riyadh, already an accomplished HIMSS adopter, to make big improvements to a fundamental challenge.
Developing AI policy needs to mitigate risk without stifling innovation, much like the early days of EHRs, says Patricia MacTaggart, program director and teaching instructor at George Washington University and 2024 Changemaker Award recipient.
To help health IT leaders address the risks associated with AI, here are some key steps to help approach digital transformation in a safe and sustainable way.
Suki AI's flagship product, in use at more than 250 health systems, prepares clinical notes and codes after each visit to give clinicians more time with patients and lower documentation. Punit Soni, CEO and founder, explains.
The Coalition of Health AI brings together more than 1,300 organizations, including government and industry leaders, to build consensus-driven best practices and standards for using AI in healthcare, explains Dr. Brian Anderson, CEO of CHAI.
Eduardo Iglesias, founder and CEO of VivaWell, talks about how VivaWell’s healthcare plans prioritizing illness prevention are being offered as an employee benefit by Latin American corporations and are already demonstrating ROI.
AI & ML Intelligence
Large language model AI can help with the redistribution of routine tasks to nonphysician staff and directly to patients, getting patients to take an active role in their healthcare journey, and enhancing patient engagement and self-management, an expert says.
AI & ML Intelligence
James McHugh, managing director at Berkeley Research Group, reveals quite positive feelings among provider organization executives on deploying artificial intelligence in the next three years.
The tech giant looks across the entire product development life cycle to ensure health equity in the AI models and tools it makes available to digital health companies, explains Dr. Ivor Horn, Google's chief health equity officer.
The new lab will evaluate artificial intelligence in the health domain in a simulated real-world environment, help innovators refine their machine learning models and offer AI workforce development training.