Artificial Intelligence

Yusuf Tamer, principal data and applied scientist at the Parkland Center for Clinical Innovation, offers a sneak preview of his HIMSS24 session, which offers a detailed look at one of artificial intelligence's most promising use cases.

Brenna Loufek, SaMD regulatory affairs manager at Mayo Clinic, talks bridging the gap between research and clinical practice when bringing AI-enabled digital health tools to market in a preview of her and her colleagues' upcoming session at HIMSS24.  

A new eBook describes the way South Korea’s hospitals are using CDSS to reduce medication errors while highlighting the advances that stakeholders would like to see as CDSS becomes more integrated with hospital systems.

Dr. Melek Somai describes the Wisconsin health system's efforts to expand its integration of artificial intelligence into workflows and care processes – from streamlining patient scheduling to providing personalized preventive care recommendations.

The health system has efforts to use artificial intelligence to, among other things, streamline patient scheduling and provide personalized preventive care recommendations. Dr. Melek Somai, the CTO, explains how.  

Mayo Clinic's Dr. Sonya Makhni answers key questions on creating and delivering artificial intelligence, inherent bias and the importance of risk classification systems. 

Dr. Melek Somai discusses the most promising use cases for artificial intelligence, and describes how his health system has made it an "integral component" of its information ecosystem.

The role and use cases for artificial intelligence, as presented by Dr. Melek Somai, a top voice in health IT, with a special focus on generative AI, which he says is "poised to bring the really transformative change envisioned with the advent of IT."  

In season 2, episode 2 of "Unlocking Big Data," sponsored by Arcadia, Albert Duntugan, UCLA Health’s chief data officer, and Nick Stepro, Arcadia’s chief product and technology officer, talk about how to make data more accessible to different end users.

How healthcare leaders can fully utilize their data.