Nearly Half of Health System Executives Say They’re Not Ready to Scale AI
Guidehouse-HIMSS analysis finds a lack of operational readiness for AI due to "execution paralysis," despite widespread investments.
Guidehouse-HIMSS analysis finds a lack of operational readiness for AI due to "execution paralysis," despite widespread investments.
New platform combines HTM data with AI tools to improve equipment visibility, maintenance planning, and supply chain workflows for health systems.
While adoption is in early stages, executives view artificial intelligence as a way to reduce claim denials, speed up cash flow, and ease administrative burdens.
Guidehouse-HIMSS analysis finds a lack of operational readiness for AI due to "execution paralysis," despite widespread investments.
The research suggests AI may help identify more aggressive breast cancers and perform comparably to experts in breast cancer screening.
Read MoreThe draft report offers guidance for developing, selecting, and implementing AI-enabled quality measures for accountability programs.
Read MoreAn analysis of 98 healthcare organizations reveals that stale user accounts, shadow AI, and misconfigured cloud services create significant vulnerabilities as AI adoption grows.
Read MoreYale New Haven Health, Keck Medicine of USC, and Hartford HealthCare bring the Aegis Digital Consortium’s membership to 14 systems focused on co-developing and deploying new technologies.
Read MoreA new case series shows the technology can flag suspicious nodules on images ordered for unrelated conditions, potentially expanding early detection opportunities.
Read MoreNew global findings show cardiac care professionals are optimistic about AI’s potential to save time and improve diagnoses, while patients remain cautious.
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The solutions are designed to streamline cardiac workflows and improve diagnostic confidence using artificial intelligence and automation.