This is the sixth and final installment in a six-part series on incentive design, deal structure, and how these issues surface in transactions and enforcement. Other relevant topics will be discussed in our upcoming presentation, Physician Owner Mindset, Compliance Guardrails: Growth Without the Gotchas, to be given at the American Alliance of Orthopaedic Executives on Tuesday, April 21.
This is the fifth in a six-part series on incentive design, deal structure, and how these issues surface in transactions and enforcement. Other relevant topics will be discussed in our upcoming presentation, Physician Owner Mindset, Compliance Guardrails: Growth Without the Gotchas, to be given at the American Alliance of Orthopaedic Executives on Tuesday, April
This is the fourth in a six-part series on incentive design, deal structure, and how these issues surface in transactions and enforcement. Other relevant topics will be discussed in our upcoming presentation, Physician Owner Mindset, Compliance Guardrails: Growth Without the Gotchas, to be given at the American Alliance of Orthopaedic Executives on Tuesday, April 21.
This is the third in a six-part series on incentive design, deal structure, and how these issues surface in transactions and enforcement. Other relevant topics will be discussed in our upcoming presentation, Physician Owner Mindset, Compliance Guardrails: Growth Without the Gotchas, to be given at the American Alliance of Orthopaedic Executives on Tuesday, April 21.
Deal teams spend months building a story.
Quality of earnings.
Payer mix.
Capacity.
Growth.
The story lives in a deck, a model, and a set of emails. The material is often pulled together fast, under deadlines. It gets recycled and edited by multiple people.
A single loose phrase can change how a buyer views risk, how counsel drafts reps, and how quickly a process moves.
In some cases, it reads as if the business plan depends on referrals.
That is avoidable.
This is the second in a six-part series on incentive design, deal structure, and how these issues surface in transactions and enforcement. Other relevant topics will be discussed in our upcoming presentation, Physician Owner Mindset, Compliance Guardrails: Growth Without the Gotchas, to be given at the American Alliance of Orthopaedic Executives on Tuesday, April 21.
Productivity-based compensation is common in physician organizations. It is also where many problems begin.
Start with the formula. Then focus on the carve-outs, the discretionary payments, and the year-end cleanups.
Earlier this month, Judge Rakoff of the Southern District of New York issued a first-of-its-kind ruling in United States v. Heppner. The case involved a criminal defendant, Heppner, who used a public generative AI platform (Claude) to “prepare reports that outlined his defense strategy (what he might argue with respect to the facts and the law that [his attorneys] anticipated that the government might be charging”). Although the defendant prepared the documents on his own, he later shared them with his attorneys. Heppner argued that these AI-generated documents should be protected by attorney-client privilege and the work product doctrine.
This is the first in a six-part series on incentive design, deal structure, and how these issues surface in transactions and enforcement. Other relevant topics will be discussed in our upcoming presentation, Physician Owner Mindset, Compliance Guardrails: Growth Without the Gotchas, to be given at the American Alliance of Orthopaedic Executives on Tuesday, April 21.
This is the fourth in a series of articles designed to provide SXSW and LSI USA ’26 attendees and other MedTech professionals with practical considerations for efficiently executing mission-critical life science deals.
Many MedTech companies begin with one important relationship.
A health system agrees to test the product.
A strategic customer agrees to move first.
A commercial partner helps validate the market.
That is often how the first traction happens.
Everyone is talking about AI, but not everyone understands what AI is. AI, or artificial intelligence, refers to technology that enables machines to perform tasks that traditionally required human thinking—things like reading, writing, analyzing information, and making decisions.
A particularly powerful form of AI today is the large language model (or LLM), which is a type of AI trained on vast amounts of text that allows it to understand and generate human language, making it the engine behind popular tools like chatbots and AI writing assistants. Think ChatGPT or Google Gemini.
This post is part of our The Top 2025 Privacy and Security Issues Still Shaping Healthcare series, in which our team of attorneys provides essential strategies and insights for healthcare privacy and security.
In December 2024, the FTC announced two separate settlements against Mobilewalla, Inc. and Gravy Analytics, Inc., asserting that the two companies were unlawfully tracking and selling sensitive location data from users without consent, including data related to visits to health centers.