Artificial Intelligence
The goal is not to micromanage individual clinical decisions, but to shape how technology is governed and trusted at scale, says one consulting firm CEO.
An effective, cost-efficient combination of clinical collaboration, telepsychiatry, virtual reality and artificial intelligence-driven knowledge management is improving pediatric mental health service access in rural North Carolina, says Dr. Sy Saeed, ahead of HIMSS26.
Its CEO says healthcare organizations must "mobilize" their electronic health record systems, using AI-enabled platforms to get tangible value from all the data they've been collecting for two decades.
The new AI to Advance Medicine program is designed to take an academic and practical approach to help students, faculty and staff across the health system use artificial intelligence more judiciously, safely and effectively.
SpotitEarly helps detect cancer by using dogs’ sense of smell, AI technology and reward-based training that teaches dogs to know the difference between healthy and cancerous samples, CEO Shlomi Madar explains.
The recent extension of the Acute Hospital Care at Home waiver program brings stability, predictability and scores of opportunities for growth and innovation, says a home health physician at MGB.
National University Hospital CMIO Dr Ling Zheng Jye outlines the changes necessary for the National University Health System to effectively use data to bring forth innovations in quality and patient safety.
Every major EHR vendor now offers “AI in the EHR,” but some of these solutions may simply be repackaged automation functions. Health systems need a partner that can leverage true ambient clinical intelligence to improve clinician and patient experiences.
While global research shows a direct link between advanced digital maturity and better health and safety outcomes, a HIMSS26 session will dive into what still needs to be done on the frontiers of healthcare transformation.
New research from HIMSS and Guidehouse shows that more than half of hospitals surveyed say they're not yet able to deploy AI at scale. It highlights some steps providers can take to overcome a lack of operational readiness for artificial intelligence.