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Episode 206 ·

Part 1: Artificial Intelligence (AI) & Fair Market Value (FMV) under Stark Law & Anti-Kickback Statute (AKS): A Discussion with Chris David, Managing Partner, HealthValue Group

Send us Fan Mail Artificial Intelligence (AI) can save a lot of time, but you need to use it wisely. In Part 1 of this 2-part episode, Captain Integrity Bob Wade talks the intersection of AI, Fair Market Value (FMV), the Stark Law, and the Anti-Kickback Statute (AKS) with HealthValue Group Managing Partner Chris David. Hear how AI is already impacting the healthcare consulting industry, notable cases involving AI, the top use cases for AI tools, how AI-generated documents are viewed under the Stark Law, and whether the government is accepting AI. Learn more at CaptainIntegrity.com

  • Fair Market Value
  • Anti-Kickback Statute
  • Artificial Intelligence

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Part 1: 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: February 24, 2026

In this episode of Stark Integrity, Bob Wade (Captain Integrity) is joined by Chris David, Managing Partner at HealthValue Group, to explore a rapidly evolving and highly technical area of healthcare compliance:

The intersection of artificial intelligence (AI) and fair market value (FMV) under the Stark Law and Anti-Kickback Statute (AKS).

This episode marks Part 1 of a two-part series, focusing on how AI is beginning to influence FMV analysis and physician compensation arrangements.

The core message:

AI can significantly improve efficiency—but it must be used carefully to ensure compliance and defensibility.

AI and the Evolution of FMV Analysis

A central theme of the episode is:

How AI is changing the way FMV analyses are performed.

Traditionally, FMV determinations involve:

  • Market data and benchmark surveys
  • Professional judgment and experience
  • Detailed documentation and analysis

With AI, organizations can now:

  • Process large volumes of data quickly
  • Identify trends and outliers
  • Generate preliminary valuation models

The takeaway:

AI has the potential to streamline FMV work—but it does not replace human expertise.

Efficiency vs. Defensibility

As discussed by Chris David, one of the biggest considerations is:

Balancing efficiency with defensibility.

AI can:

  • Save time
  • Reduce manual workload
  • Improve consistency

However:

  • Outputs may lack context
  • Assumptions may not be transparent
  • Results may not be fully supportable

The key point:

An efficient analysis is not necessarily a defensible one.

AI Use Cases in Healthcare Valuation

The episode highlights practical applications of AI in FMV and compliance, including:

  • Reviewing compensation arrangements
  • Analyzing benchmarking data
  • Identifying anomalies in physician pay
  • Supporting documentation development

The takeaway:

AI can support the process—but should not replace judgment.

Regulatory Considerations

A key question explored in the episode is:

How regulators view AI-generated analyses.

In the context of Stark Law and AKS:

  • Documentation must be reliable and supportable
  • Assumptions must be clear
  • Analyses must withstand scrutiny

The key point:

Regulators expect defensible reasoning—not just generated outputs.

The Importance of Human Judgment

Throughout the discussion, Chris David emphasizes:

The continued importance of human judgment in FMV determinations.

AI tools may:

  • Provide inputs
  • Suggest conclusions
  • Highlight trends

But they cannot:

  • Fully understand context
  • Exercise professional judgment
  • Defend conclusions in a regulatory setting

The takeaway:

AI enhances expertise—but does not replace it.

Risks of Overreliance on AI

The episode cautions against:

Overreliance on AI-generated outputs.

Risks include:

  • Blind acceptance of results
  • Lack of transparency in methodology
  • Inadequate documentation

The key point:

Using AI without validation creates compliance risk.

Documentation and Support

In FMV analyses, documentation remains critical.

Organizations must ensure:

  • Clear explanation of methodology
  • Support for assumptions
  • Alignment with regulatory requirements

Even when AI is used:

The responsibility for documentation remains with the organization.

Practical Considerations

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

  • Understand how AI tools function
  • Validate outputs independently
  • Maintain strong documentation standards
  • Involve experienced professionals in the process

Because:

AI should support—not replace—a structured compliance approach.

Key Takeaways

  • AI is influencing how FMV analyses are performed
  • Efficiency gains must be balanced with defensibility
  • AI can support valuation work but cannot replace professional judgment
  • Regulatory expectations still require transparency and documentation
  • Overreliance on AI introduces compliance risk
  • Human expertise remains essential
  • AI should be integrated carefully into compliance processes

Final Thoughts

This episode introduces an important and evolving question:

How should healthcare organizations incorporate AI into highly regulated areas like FMV analysis?

With insights from Chris David, the answer becomes clear:

  • Use AI thoughtfully
  • Maintain strong documentation
  • Rely on professional judgment

Ultimately:

AI is a powerful tool—but it must be used within a disciplined compliance framework.

Because in healthcare compliance:

Speed and efficiency are valuable—but defensibility is essential.

Click here to listen to this Stark Integrity Podcast Episode:
https://podcasts.apple.com/us/podcast/part-1-artificial-intelligence-ai-fair-market-value/id1588939373?i=1000751320078&l=fr-FR