Interoperability

Why Healthcare AI Systems Fail After Deployment

By Tharun Kumar Nallamothu – Lessons from Real Clinical Environments – Artificial intelligence in healthcare has reached a point where technical capabilities are no longer the primary limitation. Models can transcribe clinical conversations, extract insights, and support decision-making with increasing accuracy.



1B Records Exchanged through TEFCA

The Office of the National Coordinator for Health Information Technology at the U.S. Department of Health and Human Services announced new steps to strengthen the Trusted Exchange Framework and Common Agreement™ (TEFCA®), the nationwide network that helps patients and healthcare providers securely share electronic health information.