Part 2: Artificial Intelligence (AI) & Fair Market Value (FMV) under Stark Law & Anti-Kickback Statute (AKS): A Discussion with Chris David, Managing Partner, HealthValue Group

Episode Date: March 3, 2026

In this episode of Stark Integrity, Bob Wade (Captain Integrity) continues the discussion with Chris David, Managing Partner at HealthValue Group:

A deeper dive into how artificial intelligence (AI) intersects with fair market value (FMV) and compliance under the Stark Law and Anti-Kickback Statute (AKS).

This episode is Part 2 of a two-part series, focusing on practical application, real-world examples, and the limitations of AI in highly regulated environments.

The central message:

AI is a powerful tool—but without human oversight and critical thinking, it can fall short of compliance expectations.

Moving from Theory to Practice

While Part 1 focused on concepts, Part 2 shifts to:

How AI performs in real-world FMV analysis scenarios.

The discussion explores:

• AI-generated valuation analyses
• How outputs compare to traditional methods
• Where gaps and risks emerge

The takeaway:

Seeing AI in action reveals both its strengths and its weaknesses.

Evaluating AI-Generated FMV Analysis

A key element of the episode is:

Reviewing an AI-generated FMV analysis and assessing its defensibility.

This exercise highlights:

• Gaps in reasoning
• Missing context
• Lack of nuanced understanding

The key point:

AI can generate content—but not always a compliant or supportable analysis.

The Limits of AI in FMV

As emphasized by Chris David, AI has clear limitations when applied to FMV:

• It may rely too heavily on generalized data
• It may not account for specific facts and circumstances
• It may miss key regulatory nuances

The takeaway:

FMV requires judgment—and judgment cannot be automated.

The Importance of Being Human

One of the most important insights from the episode is:

Human input is essential to make AI useful.

Professionals must:

• Interpret AI outputs
• Adjust for context
• Apply experience and judgment

The key point:

AI works best when guided by human expertise—not when it replaces it.

Data Commoditization and Its Impact

The discussion also explores how:

Data and valuation inputs are becoming more commoditized.

With AI:

• Market data is widely accessible
• Benchmarking is easier to obtain
• Tools can generate similar outputs across users

The takeaway:

Access to data alone is not a differentiator—how it is used is what matters.

Protecting Value Beyond AI

Another important concept discussed is:

Protecting nonproprietary insights and professional value.

As AI becomes more capable, organizations and professionals must:

• Focus on interpretation and strategy
• Provide context-driven insights
• Demonstrate independent judgment

The key point:

The true value lies in expertise—not just information.

Why AI Won’t Replace Experts

The episode makes it clear:

AI will not replace healthcare valuation professionals or compliance experts.

Instead:

• AI can assist with efficiency
• AI can support data analysis
• AI can enhance workflows

But:

• It cannot defend decisions
• It cannot testify or explain reasoning
• It cannot fully understand regulatory expectations

The takeaway:

AI is a tool—not a replacement for expertise.

Compliance Risks of Overreliance

The episode reinforces the risk of:

Overreliance on AI-generated outputs.

This can lead to:

• Insufficient documentation
• Unsupported conclusions
• Increased regulatory exposure

The key point:

Using AI without validation can create more risk than benefit.

Practical Considerations

To use AI effectively in FMV and compliance, organizations should:

• Review and validate all AI-generated outputs
• Apply independent judgment
• Maintain strong documentation standards
• Use AI as a supplement—not a substitute

Because:

Defensibility requires more than automation—it requires understanding.

Key Takeaways

• AI must be tested against real-world compliance scenarios
• AI-generated FMV analyses may lack necessary depth and context
• Human judgment is essential to ensure defensibility
• Data is becoming commoditized, but expertise remains valuable
• AI enhances—but does not replace—professionals
• Overreliance on AI introduces compliance risk
• Validation and documentation are critical

Final Thoughts

Part 2 completes the discussion with a clear and practical message:

AI is only as effective as the humans who use it.

With insights from Chris David, it becomes evident that:

• AI can improve efficiency
• AI can support analysis
• AI can streamline processes

But ultimately:

Compliance decisions require human judgment, experience, and accountability.

Because in healthcare compliance:

Technology can assist—but responsibility cannot be delegated.

Click here to listen to this Stark Integrity Podcast Episode:
https://podcasts.apple.com/us/podcast/part-2-artificial-intelligence-ai-fair-market-value/id1588939373?i=1000752989579&l=fr-FR