Using AI in Physician Contracting & Payment: A Discussion with Scott Lowry, Founder of StarkWatch

Episode Date: July 8, 2026

In this episode of Stark Integrity, host Bob Wade (“Captain Integrity”) welcomes Scott Lowry, Founder of StarkWatch and a seasoned healthcare compliance executive, for a timely discussion on the growing role of artificial intelligence (AI) in physician contracting and payment compliance. As healthcare organizations continue to face increasing regulatory scrutiny, staffing challenges, and administrative burdens, AI is emerging as a powerful tool to support compliance efforts and strengthen oversight of physician financial relationships.

The discussion focuses on how AI can help healthcare organizations address one of the most resource-intensive compliance responsibilities: monitoring physician contracts and ensuring payments remain consistent with Stark Law requirements. While technology is creating exciting opportunities, Bob and Scott emphasize that successful implementation requires thoughtful governance and ongoing human oversight.

The Compliance Challenge

Healthcare organizations often maintain hundreds, or even thousands, of physician arrangements. Monitoring these relationships requires reviewing contracts, validating services performed, assessing payment requests, and documenting compliance with fair market value and commercial reasonableness standards.

Traditionally, these activities have relied heavily on manual processes. Compliance teams must review agreements, reconcile invoices, validate supporting documentation, and investigate potential exceptions. As organizations grow, these responsibilities can quickly overwhelm available resources.

How AI Is Changing Physician Contract Compliance

A key theme of the episode is how AI can help automate tasks that have historically required significant manual effort.

Scott discusses how AI-powered compliance platforms can review physician agreements, analyze payment data, identify contractual obligations, and flag potential areas of concern before a payment is processed. Rather than replacing compliance professionals, these tools help organizations focus their attention on higher-risk issues that warrant further review.

AI can also help organizations improve consistency. By applying the same review criteria across large volumes of agreements and transactions, technology can help reduce the risk of human oversight and support a more standardized compliance process.

Monitoring Payments Before the Money Leaves the Door

One of the most practical applications discussed is the use of AI as a pre-payment compliance safeguard.

Rather than identifying problems months or years after a payment has been made, AI tools can screen physician payments and flag potential issues before funds are released. This proactive approach allows organizations to address concerns in real time and potentially avoid larger compliance problems down the road.

The ability to perform ongoing monitoring can be especially valuable as healthcare organizations seek to strengthen internal controls while managing limited compliance resources.

AI as an Enhancement, Not a Replacement

Throughout the discussion, Bob and Scott emphasize an important point: AI should augment professional judgment—not replace it.

Compliance decisions often require context, experience, and legal interpretation that cannot be fully automated. While AI can rapidly identify trends, inconsistencies, and areas of potential risk, qualified compliance professionals must still evaluate findings and determine appropriate next steps.

This balance between technology and human expertise is essential for creating an effective compliance program. Organizations should view AI as a force multiplier that increases efficiency while preserving accountability.

Building Audit-Ready Documentation

Another major benefit of AI-enabled compliance monitoring is documentation.

Regulators increasingly expect healthcare organizations to demonstrate how physician arrangements are monitored and how compliance concerns are addressed. AI systems can help generate audit-ready reports, risk assessments, and supporting documentation that strengthen an organization's ability to respond to audits and investigations.

As Bob notes throughout the episode, documentation remains one of the most important compliance safeguards available to healthcare organizations. Technology can help make that process more efficient, but organizations must still ensure that records are complete, accurate, and defensible.

Practical Takeaways

The central takeaway from this episode is that AI offers healthcare organizations an opportunity to move from reactive compliance to proactive compliance.

Organizations should consider:

• Automating routine contract reviews and monitoring activities.
• Implementing pre-payment compliance safeguards.
• Strengthening documentation and audit readiness.
• Using AI to identify higher-risk transactions.
• Maintaining strong human oversight and decision-making authority.

When implemented properly, AI can help compliance teams accomplish more with existing resources while improving consistency and risk detection.

Final Thoughts

This episode highlights how AI is transforming healthcare compliance and physician-payment oversight. As the regulatory environment becomes increasingly complex, organizations must find ways to monitor physician arrangements more effectively without sacrificing quality or accuracy.

As Bob Wade and Scott Lowry discuss, the future of compliance is not about replacing people with technology. Instead, it is about equipping compliance professionals with better tools to identify risk, enhance oversight, and protect their organizations. When combined with sound governance and experienced judgment, AI has the potential to become one of the most valuable compliance resources available.

Click here to listen to this Stark Integrity Podcast Episode:
https://podcasts.apple.com/us/podcast/using-ai-in-physician-contracting-payment-a/id1588939373?i=1000775898192