Mike Miliard
The health system is prioritizing "patient safety, privacy and ethical considerations" as it pushes forward to realize positive impacts from artificial intelligence and machine learning, says CIO Cris Ross.
The research, which builds on a training approach similar to that of ChatGPT, uses image-based modeling for ECG analysis – potentially enabling more effective heart function assessment and diagnosis of heart attacks and hypertrophic cardiomyopathy.
New initiatives launched by the White House include an updated strategic plan for artificial intelligence from the Office of Science and Technology Policy and a new RFI seeking input on mitigating AI risks.
While the World Health Organization says it's "enthusiastic about the appropriate use" of large language models such as ChatGPT, it has deep concerns about artificial intelligence being used in "safe, effective, and ethical ways."
"We're aiming to cut through the buzz around AI in healthcare to prove the promise and positive impact of this exciting technology for improving patient outcomes."
Improved drug discovery and innovations in personalized treatments are among the goals for the new Target and Lead Identification Suite and Multiomics Suite.
In pursuit of more accurate and equitable AI models, the health system is broadening the distributed network to include de-identified datasets in Brazil, Israel and Canada.
Its new Hospital Safety Grade report shows rates of healthcare-associated infections CLABSI, MRSA and CAUTI with double-digit increases. Meanwhile, safety-related patient experience ratings have declined.
Andrea Palm, deputy secretary at the U.S. Department of Health and Human Services, says the agency is striving to "put the people we serve at the center of what we do." Meanwhile, ONC officials offer updates on new Cures Act rules.
Just three months after his frightening, nationally televised cardiac arrest, the Buffalo Bills safety was cleared to play this week. He spoke at HIMSS23 about lessons learned during his recovery.