The Agentic AI Blindspot: What the Joint Cyber Guidance Means for Health Systems
This time, the message is clear: agentic AI brings new risks that traditional security controls do not address. Every recommendation in the document starts from a cautious approach. The opening line sounds more like a warning than a set of instructions.
What Experts are Saying About the Use of AI in Breast Screening
How do we address the burden of breast cancer? What tools and technology are available to support breast screening and early diagnosis? The use of artificial intelligence (AI) is rapidly becoming the norm in breast cancer screening. This week’s Domain Knowledge explores what the experts are saying about the use of AI in breast imaging.
What healthcare can learn from credit card companies about catching errors
Healthcare has long struggled with detecting and addressing medical errors. However, there are things we can learn from a most unexpected place, the credit card in your pocket.
What healthcare can learn from the airline industry about catching errors
As we continue our series on cross industry learnings we look to the skies. Airline companies have long been compared to hospital systems, as they both seek to reduce fatal errors.
What healthcare can learn from the energy industry about catching errors
The final article in our series on cross industry learnings has us focusing on energy – specifically nuclear energy. By carefully studying these errors, as well as how similar industries manage mistakes, we can learn to prevent them in the future.
What’s driving the rising incidence of breast cancer? Part 2
In this 4-part series, I sit down with Dr. Amy Patel and discuss the importance of prioritizing breast health. In Part 2 of the series we focus on solutions to address confusing breast cancer screening recommendations, COVID screening delays and the increasing incidence of breast cancer.
White Paper–Beyond the Algorithm: Ensuring Clinical Validity at Scale
Most health systems lack the technical infrastructure to generate continuous evidence of AI performance. Instead, they rely on episodic, manual validation that fails to capture real-world shifts in data.
Why Healthcare AI Is Entering Its Governance Era
By Ken Burton, Client Strategy Executive (former health system CTO) For nearly a decade, healthcare systems have adopted “best-of-breed” AI strategies — using specialized tools to meet clinical, operational, and analytical needs. The goal was to innovate quickly and let departments choose the most effective solutions. In practice, this approach has created the very complexity […]
Will AI Solve Healthcare Disparities?
This week’s Domain Knowledge focuses on the benefits of artificial intelligence (AI) in driving health equity. While AI has proven to be effective as a diagnostic tool, it can also play a significant role in ensuring quality care is available to underserved populations.
Will Healthcare AI Save the Day?
Eyeball-grabbing headlines about the inevitable march of artificial intelligence replacing human intellectual tasks abound. While AI might save the day, it must be rigorously tested to be trusted.