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.
Using AI in Early Lung Cancer Detection
Did you know lung cancer was the leading cause of cancer death for both men and women in the United States? November is Lung Cancer Awareness Month and the focus for this week’s Domain Knowledge
Using AI to solve complex health system problems, a story of collaboration
My path to co-founding Ferrum Health started when I realized our health system faced some significant challenges that would require a variety of skills and backgrounds to solve.
Using Artificial Intelligence in Oncology
AI has made significant inroads in various therapeutic areas, with cancer care benefiting greatly from this powerful technology.