Insights

Foundational Theory vs. Clinical Reality: Governing Clinical AI in 2026

Health systems are now being asked to innovate while simultaneously managing risk, accountability, and patient safety, often without a single, unified playbook.

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.

Foundation Models in Healthcare: What You Need to Know

They are rapidly gaining traction in healthcare for their ability to streamline clinical, operational, and patient-facing tasks.

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Demonstrating ROI, the Challenge for Healthcare AI

Evaluating AI ROI based upon the resources utilized to identify, evaluate, and deploy that AI is at the base of the ROI calculation.

Can AI help us learn about healthcare AI?

This week’s Domain Knowledge asked ChatGPT to educate us on healthcare AI and here’s what we learned.

Divided We Fall: How to make sense of the fragmented AI Market

This blog will explore why the AI market is fragmented and how Ferrum's approach and Private AI Hub can bridge the barriers for healthcare providers to successfully implement AI solutions.

Developing a Strategy is Crucial for the Success of Healthcare AI

In this blog post, we discuss why an AI strategy is crucial for success in healthcare, identify barriers to implementation, and highlight the importance of Ferrum's private AI Hub.

AI Spotlight: Colorectal Cancer Awareness Month

This week’s Domain Knowledge shares a collection of clinical articles highlighting the role AI can play in the screening and treatment of colorectal cancer (CRC).

AI Security Series: Solutions for Addressing Security Concerns When Implementing Healthcare AI (Part 2)

In the second part of the series, we look at potential solutions that keep patient data secure and pave the way for the use of AI in the healthcare setting.

AI Security Series: Security Considerations When Implementing Healthcare AI (Part 1)

In this 2-part series, I sit down with Ken Ko, the Chief Technology Officer at Ferrum Health, to discuss security considerations that must be addressed when implementing healthcare AI.

Radiology AI is Biased: Here are the 5 Most Common Ways

This week's Domain Knowledge continues to dig into why bias occurs in AI. Ferrum outlines the most common reasons for bias and reviews the importance for validation in AI strategy and implementation.

AI is ALWAYS Biased: Here's What You Can Do About It

AI is revolutionizing healthcare but can only be useful if providers trust in the AI tools they use. This week's Domain Knowledge looks into why bias occurs and how validation can minimize concerns for bias.

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