clinical AI

The financial health of hospitals and the financial experience of patients are concepts that are tethered together, says Andrew Bess, EVP at Ensemble.

Arintra CEO Nitesh Shroff says the company's AI-powered platform turns complex clinical documentation into explainable, compliant codes that help reduce claim denials and support improving health systems' bottom lines.

Sandra Johnson, CliniComp senior vice president, says keeping data in a single longitudinal system makes it easier to prove AI's positive impact on metrics such as shorter stays, fewer readmissions and higher patient satisfaction.

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

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.

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

Dr. Carolyn Clancy of the U.S. Department of Veterans Affairs' Discovery Education and Affiliate Networks (DEAN) office says her department is funding more than 200 studies of AI applications to ease clinician burden and enhance outcomes for veterans.

Two executives from the St. Louis community health center discuss results of a generative AI pilot designed to enhance interpretation services – extending the reach of multilanguage accessibility to its six FQHCs with large immigrant populations.

As AI summaries bury providers in online search results, Ann Bilyew, WebMD Ignite president, discusses how health systems can fight back by creating rich, personalized digital hubs that drive trust, relevance and patient engagement.