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Members of Congress from affected states are hoping to repeal the AI-focused Medicare prior auth model, claiming it privatizes care delivery and harms patients.

National University Health System assistant group CTO Dr Gao Yujia shares 5G-enabled connected health projects in the pipeline.

The system at one of UTMB Health's hospitals encouraged behavioral change among providers that led to reduced infections and may net $700,000 in annual savings from reduced SSI incidents alone.

Encouraging healthcare consumerism among the young should be another goal, says Greg Farnum, who works in federal strategic advisory at Audacious Inquiry. He digs into these three issues for the year ahead.

ATA says the proposed FY2026 funding package released by the House Appropriations Committee ensures continued access to patient services through critical telehealth provisions.

The department plans to use the company's agentic artificial intelligence to integrate disease-specific NIH data with Medicare, Medicaid, claims and state registry datasets to improve data quality and CMS governance.

This first national collaboration will develop a localised neuroprognostication tool and adopt FHIR standards.

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.

A legal settlement directs the U.S. Department of Health and Human Services to again make available data that healthcare stakeholders say is essential to designing interventions, tracking healthcare outcomes and allocating resources effectively.

The rural Texas health system has reduced the number of transfers to other facilities for higher level stroke care, reduced stroke call-to-screen time to under 7.5 minutes, and dropped door-to-needle time to as low as 34 minutes.