Artificial Intelligence
HIMSS has shifted the focus from adoption to utilisation in the updated version of the Adoption Model for Analytics Maturity, says Chief Relationship Officer Mitch Icenhower.
The hospital will pave a path for greater AI development and use, shares director of Princ Hospital Suvarnabhumi.
The Boston health system built specialized space for evaluating and deploying large language models for research and operations. Renato Umeton, director of AI operations and data science services at Dana-Farber Cancer Institute, explains why and how.
It will be applied to generate summaries in the emergency department, shares Hyungjin Rhee, director of the Center for Digital Health Strategy at Yonsei University College of Medicine.
The health system's chief digital officer and chief AI and information officer discusses IT infrastructure for artificial intelligence, and describes his plans and priorities as the technology evolves.
Stanford Health Care’s director of digital health, Troy Foster, describes some fundamental workflow differences between nurses and docs, and discusses how the Palo Alto health system is rolling out initiatives to its ED and inpatient spaces.
Dr. Shreya Shah, medical informatics director at Stanford Health Care, says higher-value, lower-risk use cases like automated draft replies to patient messages and ambient AI scribes are improving the care experience for providers.
Josh Wymer, chief health information and data strategy officer at the Missouri Department of Health and Senior Services, discusses a genAI chatbot the state uses and the value of both trust and data transparency in public and community health.
HIMSS' new Policy Principles for Artificial Intelligence and Machine Learning focus on safety and trust; transparency and privacy; and workforce and sustainability. Jonathan French, senior director of public policy at HIMSS explains more.
Cleveland Clinic Chief Analytics Officer Albert Marinez says generative AI holds huge potential, but a lot of challenges can still be solved with machine learning and predictive analytics.