Analytics
AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.
Dr. Ethan Goh, executive director of Stanford ARISE, the AI Research and Science Evaluation Network, describes a new study to explore models' diagnostic and management reasoning capabilities – and what that could mean for clinicians and patients.
The layoffs come on the heels of others in the Bay Area and in the company's cloud infrastructure unit. A new KLAS report, meanwhile, shows mixed reviews from Oracle healthcare clients.
Success Stories & ROI
The AI models, paired with standardized care pathways, can be transformative in addressing readmissions and other high-impact quality metrics – but their success hinges on thoughtful design and implementation, cardiac quality doc says.
Robin Glass, president of Included Health, says artificial intelligence has improved cost estimation tools and helps to address patient care gaps, while telehealth access reduces total costs for employee groups.
New announcements also include an artificial intelligence tool to improve surgical operations while reducing waste and an EHR-agnostic AI scribe.
Te Whatu Ora sees up to $20 million in long-term societal savings from implementing the AI.
Contracted ASX-listed Beamtree to help find solutions to improve health data quality across 20 hospitals.
Chi Mei Medical Center in Taiwan has a high staff acceptance rate of generative AI-powered tools, says Dr Chia-Te Liao, director of the Center for Evidence-based Medicine & Health Policy at the hospital.
HIMSS Chief Scientific Research Officer Anne Snowdon says there are "thousands of reasons" AI tools are more readily adopted in other industries. But the biggest is that lives are at stake in healthcare. "We don't ever take that for granted."