Clinical

The government will also fund hospital-based verification programs so AI tools can be tested and validated at scale before clinical rollout.

Also, Yonsei University has received $4 million in state funding to develop AI for automating nursing workflows.

Todd Van Meter, CEO of Accuity, explains that initial denial rates are cut in half after partnering with clients and how the appeals process can reduce the final denial rate to between 1% and 1.5%.

Anna Basevich, SVP at Arcadia, says the new Investments in workforce and integrated technologies can help strengthen and expand care in rural areas.

By searching and cross-referencing all electronic health record data, large language models are helping to provide leading-edge oncology care to more patients while freeing up nurses' time, says Dr. Aaron Gerds at the Cleveland Clinic’s Cancer Institute.

The achievement was made by uncovering and activating capacity that had always been there: Staff just couldn't see it until they implemented consistent processes and system-wide analytics.

Dr. Yacine Hadjiat says that success for Dubai Health isn't about technology but about using evidence-based digital medicine, human-centered design and disciplined execution to turn pilots into effective interventions.

Also, the WA government has invested in a project developing a public hospital AI agent and a system-wide data platform.

A new RFI from the U.S. Department of Health and Human Services is seeking stakeholder input on how to realize artificial intelligence goals and usher in nationwide, clinical-scale adoption of the technology.

In the best case scenario, hospitals “are getting 20% less than the lowest workman’s comp fee schedule in the country,” says Zachary Schultz of EnableComp.