Analytics

The goal is to make artificial intelligence available to the federal workforce and to integrate it across internal operations, research and public health.

Investors are funneling capital into early-stage automation and clinical support tools that use AI to counter workforce shortages, according to the report.

According to healthcare leaders, 2025 was a pivotal year for AI and digital health, marked by technological progress, a shifting focus on its role in healthcare and practical use cases driving its adoption.

Sam Davis Jr. of Rush University Medical Center says adopting analytics enabled the system to align staffing, equipment and surgeon block time with real demand, delivering 12x ROI and improving patient outcomes.

According to Rom Eizenberg, Kontakt.io's chief revenue officer, hospitals in 2026 will deploy AI to track people, space and equipment and to optimize length of stay, which can help reverse losses and increase profitability.

It shows potential for early, opportunistic screening for osteoporosis without a separate bone density test, according to Seoul National University Hospital researchers.

Charles N. Kahn III, president and CEO of the Federation of American Hospitals and cofounder of Future of Health, discusses inconsistent and diminishing federal data collection and the urgent need to rebuild trust in the public health sector.

Industry leaders say 2025 marked AI’s shift from hype to practical impact, though the technology remains unready for full-scale adoption and ongoing concerns about ethics and bias persist.

Executives say they’re underprepared for challenges ranging from AI to cost containment.

The Korean AI company also plans expansion into Vietnam and Hong Kong.