Hospitals are more likely to assess artificial intelligence and predictive models for accuracy than for potential biases, according to a study published Jan. 6 in Health Affairs.

UC San Diego Health is exploring the possibility of using artificial intelligence-supported cameras to detect potential patient issues — such as patient falls and bed sores — before they occur, the health system confirmed in a statement shared with Becker's.

In 2025, UPMC and Providence are prioritizing artificial intelligence initiatives to enhance clinical operations and caregiver experiences.

UChicago Medicine has been expanding its partnership with artificial intelligence startup Abridge to draft clinical notes for the EHR.

Large language models like ChatGPT have performed well on medical exams, but they struggle with diagnostic accuracy in real-world clinical interactions. 

The rapid pace of AI development has left government regulators struggling to keep up. This challenge has opened the door for industry-led initiatives such as the Coalition for Health AI (CHAI), led by Brian Anderson, MD, Politico reported Jan. 1.

Nashville, Tenn.-based Vanderbilt University Medical Center will launch the Dragon Ambient Experience (DAX) Copilot, an AI-powered clinical documentation tool integrated with Epic, on Jan. 15.

Many of the largest U.S. health systems increasingly pivoted toward artificial intelligence in 2024 for tasks such as clinical documentation and physician inbox management.

2024 was the year of experimentation in AI. Many health systems chose small pilot projects for select users, monitoring results and identifying areas to scale organizationwide.

Hospitals and health systems experimented with artificial intelligence last year and see 2025 as a crucial turning point for identifying top use cases and solidifying long-term strategies.