Analytics
Beth Meese, the health system's executive director of IT, digital health and enterprise EMR, offers a preview of her HIMSS26 session, which will offer an up-close perspective on how to make ambient tools work to "meaningfully reduce" clinician burden.
Big investments focused on AI infrastructure, cloud services and new PCs helped fuel a 14% increase this past year, according to the research firm – the fastest year of growth since the era of Windows 95 and the World Wide Web.
New agentic tools, medication management advances, medical device guidance and the "great tech reckoning" were among just some of the hundreds of artificial intelligence and machine learning stories we published this past year.
Rural hospitals are overcoming fears of artificial intelligence and adopting tools that integrate with electronic health records on their own terms – whether that's all at once or by cultivating buy-in slowly and deliberately.
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%.
Executives weigh in on current valuations and hype around AI in the healthcare sector and what it could mean for the future.
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.