Scaling Autonomous AI in Healthcare Without Compromising Clinical Trust
AI in healthcare will not fail because the models are weak. It will stall when leaders hesitate to redesign how decisions are made, measured and governed.
Shadow AI and the Governance Gap: Leading Healthcare Through the GenAI Revolution
GenAI has real promise, but it’s also bringing real risks. It is not about whether we should use it but how we can use it responsibly and with positive outcomes.
The Mechanics of a More Connected Healthcare Ecosystem [Video]
Arbiter’s Anjali Jameson on hospital and payer alignment.
When Innovation Outpaces Oversight: Lessons from IV Spas to AI
We should never wait for tragedies to force a conversation around clear governance and accountability. Oversight has to evolve alongside innovation to protect people before harm occurs.
How Are Healthcare Leaders Tackling Automation Bias?
At MedCity News’ INVEST Digital Health conference, healthcare experts explored strategies to mitigate automation bias — emphasizing the importance of vendor responsibility, use case-specific governance and clinician engagement.
Don’t Let the Floor Fall Out From Under Healthcare AI: Tips from UW Health’s CMIO
Without trust, the rapid adoption of AI in healthcare could stall, pointed out Joel Gordon, UW Health’s chief medical information officer. He urged healthcare leaders to focus less on flashy rollouts and more on governance, collaboration, and meaningful metrics to ensure AI delivers lasting value.