AI & ML Intelligence
AI & ML Intelligence
The healthcare industry must simultaneously guard against technology outpacing its practical uses, says one physician and CIO.
AI & ML Intelligence
That's what the innovation chief at TruBridge, a member of the Microsoft-backed TRAIN AI consortium, says, as he brings the rural healthcare point of view to the responsible artificial intelligence table.
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.
AI & ML Intelligence
Meanwhile, it's already finding success with AI-enabled patient portals – and ambient scribing is showing big promise too. The Baltimore health system's digital health physician leader explains.
AI & ML Intelligence
Dr. Brian Hasselfeld, senior medical director of digital health and innovation at Johns Hopkins Medicine, discusses how artificial intelligence helps gain efficiencies throughout the patient journey and enable advances in individual health tracking.
AI & ML Intelligence
An accountable care expert offers perspective on the role artificial intelligence can play in transforming risk adjustment, synthesizing quality and risk data, and helping patients more fully engage with their care.
AI & ML Intelligence
The personalized, large language model-backed framework is designed to provide support for patient needs – whether answering urgent health questions or just lending an empathetic ear.
AI & ML Intelligence
The health system's chief analytics officer discusses creating a rigorous data quality program for reliable and actionable insights, and the importance of developing an innovation ecosystem.
AI & ML Intelligence
Autonomous medical coding has been viewed as the province of large academic medical centers that could afford to experiment with cutting-edge technology. Today it is starting to be viewed as a necessary tool for all health systems.