The Seventh Circuit just issued a pivotal decision in U.S. v. Sorenson, reshaping how pharmaceutical and medical device companies should think about direct-to-patient (DTP) advertising and Anti-Kickback Statute (AKS) compliance.

In this case, Sorenson’s company paid marketers to generate patient interest in orthopedic braces reimbursed by Medicare. These marketers gathered patient details and sent unsigned prescriptions to physicians. While most leads went nowhere, the court ruled this did not constitute a referral under AKS, since marketers weren’t influencing medical decisions and doctors retained full judgment.

The takeaway? The court is drawing a line between generating patient interest and influencing prescriber behavior. For pharma marketers, this clarifies that driving patient awareness without steering doctors may reduce AKS risk—at least in the Seventh Circuit.

If your DTP campaigns involve disease awareness, educational tools, or lead gen without prescriber targeting, you're likely on safer ground. But if those leads are used to nudge physicians’ decisions, compliance risks still loom.

Bottom line: Intent and influence are everything. Want help navigating this evolving space? Contact the Kulkarni Law Firm for support with risk-adjusted marketing agreements and compliance reviews.

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Darshan Kulkarni and Edye Edens discuss the potential and pitfalls of using AI—like ChatGPT—to draft informed consent documents in clinical research. With both legal and regulatory expertise, they explore how AI could save time, whether it fits institutional IRB requirements, and the real-world value (or lack thereof) for different types of organizations.

Key Takeaways:

• Drafting vs. Final Use: AI can be useful as a first-draft tool, especially for high-volume sponsors. But using it for final documents without oversight is risky.
  
  
• IRB Templates Matter: Many IRBs (especially academic or VA-affiliated) require strict templates—limiting AI's value unless those are integrated upfront.
  
  
• Regulatory Landscape: AI-drafted consents must meet not just FDA standards, but also OHRP requirements. Compliance and clarity are non-negotiable.
  
  
• Customization Is Key: Most current AI tools are just wrappers over ChatGPT. Real ROI comes from domain-specific models trained for clinical research.
  
  
• Data & IP Risks: Feeding protocols into AI raises confidentiality concerns. Plus, who owns the output remains unclear due to copyright issues with training data.
  
  
• Why ROI Falls Short: Companies often reassign internal staff instead of building bespoke solutions. Without a clear use case or strategic planning, results disappoint.

AI shouldn’t replace people—it should support them. Darshan and Edye agree: if you're using AI to generate a first draft of informed consent documents, it could help streamline high-volume workflows. But expecting it to generate a compliant final version is unrealistic. Most current tools feel more like flashy "wrappers" around existing models and often lack a strong ROI. And let’s not forget the hidden risks—like IP concerns and exposing proprietary protocols.

Bottom line? AI has potential, but without strategic investment and oversight, it’s just another overhyped shortcut. Use it wisely, or not at all.

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Imagine you're filling a script when a State Board of Pharmacy inspector walks in—no warning, just a clipboard and serious consequences. Most community pharmacists assume, "That won’t happen to me," but audits are no longer rare—they're the norm.

Controlled substances are under intense scrutiny. Inspectors now expect airtight records, ongoing (not one-time) training, and SOPs that reflect current laws—not ones from 2019. If you’re relying on outdated policies, verbal explanations, or friendly smiles to pass inspection, you’re already behind.

Logs must match dispensing. Staff must follow documented protocols. Lock zones must meet state requirements. Every mismatch? A red flag.

At the Kulkarni Law Firm, we help pharmacies:

• Conduct proactive self-audits using real board standards
  
  
• Build strong, defensible SOPs and training systems
  
  
• Respond to audit deficiencies with authority—not panic
  
  

Darshan Kulkarni, a pharmacist and regulatory attorney, brings practical, no-BS insight into what inspectors really expect and how to be prepared. Because waiting for an audit is like waiting for a hurricane to test your roof—too late.

Be ready. Be confident. Be compliant.

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