Artificial Intelligence
Craig Anderson, director of innovation at the Florida-based health system, discusses what the health system has learned from implementing the voice assistant.
Sonya Makhni, medical director of the Mayo Clinic Platform, discusses a model that brings the disparate pieces of a fractured healthcare ecosystem together in her keynote at the HIMSS23 ML and AI Forum.
Dr. Tim O'Connell, a practicing radiologist and founder and CEO of emtelligent, a HIMSS23 exhibitor, discusses keeping organizations running optimally and where natural language processing fits in.
HIMSS23
Dr. Zenobia Brown, SVP of Population Health Care Management and associate CMO at Northwell Health, previews a HIMSS23 session on the use of technology to advance behavioral healthcare.
Select Google Cloud customers will have access to the large language model platform for testing and more.
In a preview of her HIMSS23 panel, Suchi Saria, founder and CEO of Bayesian Health, offers perspectives on building more dependable machine learning models and making them easier for clinicians to use.
Updates to Customer 360 for Health include data cloud automations that create real-time patient profiles from EHR data and infusions of Einstein AI in services, marketing and development modules.
Refining large language models is where the rubber meets the road for artificial intelligence such as GPT, says Manny Krakaris, CEO of Augmedix. "You don't want the model to extrapolate."
Academia is working to decrease bias in AI and to guard against potential pitfalls of its use in patient care, says Ty Vachon, CEO and cofounder of Oatmeal Health in a preview of his HIMSS23 discussion.
Danielle Pieloch and Kumar Aditya, who will be speaking at HIMSS23, discuss how a "schedule first, then authorize approach" triggers an automated prior authorization workflow that reduces wait times for radiology services at Atlantic Health System.