clinical AI

HIMSS Media executive editors Jessica Hagen, Mike Miliard and Susan Morse discussed EMRAM Stage 7 adoption, implementing AI responsibly, workforce development, remote patient monitoring, telehealth, genomic data and precision medicine.

AI tools helped find non-opioid pain medications that can also put patients under and predict strokes in children who have undergone brain surgery, says Dr. Zafar Chaudry, chief AI officer at Seattle Children's.

Before the technology piece, focus must be on how to train people on the up-and-coming AI tools and providing a policy that governs those tools and protecting data, says Dr. Zafar Chaudry, chief AI officer at Seattle Children's.

Despite reluctance in the past couple of years, clinician comfort with using AI tools is growing, says Etiometry President and CEO Shane Cooke, citing results of a recent AMA survey.

Darren Webber and Nathan Licht, principal data analysts at Cedars-Sinai, preview their HIMSS25 talk on how generative AI can enhance chart abstractors’ efficiency and effectiveness, as well as best practices for implementation.

The new model is designed for scalability, allowing Aidoc to develop and refine AI solutions quicker and permit radiologists to make decisions using real-time data.  

Working with world-class partners, ensuring AI is safe for patients, educating clinicians, integrating and scaling AI rapidly, is what it takes for a provider to integrate an AI platform, says Dr. Barry Stein, Hartford HealthCare's CCIO.  

At HIMSS25, Matt Cybulsky, healthcare AI and product innovation lead at LBMC, says he hopes to spark interest, curiosity and realistic expectations on technology use in healthcare and AI’s effectiveness in real-world clinical settings.

Gunnar Trommer of BCG X and Erik Adams of BCG give highlights of their upcoming HIMSS25 panel on the capital needed to develop and commercialize AI-powered medical devices and on completing regulatory milestones like 510(k) clearance.

Ian Shakil, chief strategy officer at Commure, explores the role of AI in clinical documentation and note-taking, emphasizing the importance of keeping humans in the loop and expanding the technology's impact across healthcare.