More hospitals using predictive AI, but disparities persist
More than 70% of hospitals reported using predictive tools last year, but small, rural, independent and critical-access hospitals are lagging...
.
More than 70% of hospitals reported using predictive tools last year, but small, rural, independent and critical-access hospitals are lagging...
The AI models, which are built on massive datasets and can be adapted to multiple tasks, have become a part...
Public companies, which accounted for about half of AI-enabled devices on the market, had a higher rate of recalls and...
Only 13% of health system leaders agreed that their organization had a clear strategy for integrating AI, according to a...
The investment includes increasing manufacturing and research and development capabilities at its Reedsville, Pennsylvania, facility. Article By: Elise Reuter Blog...
The organizations will collaborate on guidance for community health centers and other safety-net providers, which face increased barriers to implementing...
Drivers of revenue growth included more customers using multiple chronic condition programs as well as strong adoption of GLP-1 offerings....
The regulation should enable workflow automation to limit paperwork burdens on providers, regulators said. Article By: Emily Olsen Blog Source...
The health system is currently testing the agentic tool at two subsidiaries, with plans to roll out the technology at...
The guidance should help health systems safely manage and monitor AI tools in a financially sustainable manner, which can be...