Quality and Safety
The health system and health plan has seen a 4-times ROI from its durable medical equipment technology work with its healthcare at home program. What's more, Geisinger has reduced overall turnaround time by 83%.
Leaders at ONC's annual meeting were asked whether they're confident that federal agencies and the private sector can work together to foster innovation while protecting against bias and safety risks. Here's what they had to say.
Leaders from Providence, Humana and VMware offered varied perspectives on their artificial intelligence journeys at the HIMSS AI in Healthcare Forum on Friday.
William Lewkowski, vice president of HCTec, a healthcare consulting firm, discusses a distributed landscape for healthcare and health IT and new technologies leaders at provider organizations must consider.
At the HIMSS AI in Healthcare Forum, physician and author Dr. Harvey Castro explored the implications as artificial intelligence expands and increasingly augments clinical decision-making. Providers need to be key players in AI development, he said.
Boston Children’s, CVS, Geisinger, UC San Diego and Wellspan are among the 28 providers and payers promising their AI and machine learning models are geared to ensure healthcare outcomes that are "Fair, Appropriate, Valid, Effective and Safe."
The agency said the new strategy is critical to achieving its goal of reducing cancer deaths by 50% and improving the burdens of cancer treatments on patients and families.
Five QHINs have completed the onboarding process, according to ONC, and will now drive higher levels of healthcare information interoperability across the U.S.
The new public-private collaboration Insight Net is using advanced biosurveillance to respond to outbreaks and prevent future pandemics. Dylan George, director of the CDC's Center for Forecasting and Outbreak Analytics, explains more.
Dr. Luis Ahumada of John Hopkins All Children's Hospital previews his session at next week's HIMSS AI in Healthcare Forum – describing how the health system has made strides with advanced data analytics models that fit with clinical workflows.
