The Basics of Stark, AKS, and EKRA
When structuring healthcare arrangements, three major compliance challenges frequently emerge: the Stark Law (officially the Physician Self-Referral Law), the Anti-Kickback Statute (AKS), and the Eliminating Kickbacks in Recovery Act (EKRA). These laws govern referrals to or from a healthcare provider or supplier and carry the risk of severe, sometimes criminal, penalties. Yet, each also offers several exceptions or safe harbors that certain business models might meet. Even a simple arrangement with a healthcare entity can involve complex analysis regarding these three statutes.
The Stark Law (42 U.S.C. 1395nn) prohibits doctors from referring patients to entities providing “designated health services” covered by Medicare or Medicaid if there is a financial relationship between the physician (or their immediate family) and the entity, except under specific exceptions. Financial relationships subject to the Stark Law encompass both compensation and investment interests. Covered services range from clinical labs to physical and occupational therapy, durable medical equipment, certain imaging services, and more. Common exceptions include provisions for in-office ancillary services, fair market value compensation, and legitimate employment relationships. Recently, CMS introduced additional exceptions for value-based arrangements to accommodate evolving healthcare delivery models.
Similarly, the AKS (42 U.S.C. 1320a-7b(b)) criminalizes the exchange of “remuneration” to influence patient referrals or generate business for services billed to federal healthcare programs. “Remuneration” is broadly defined to include any item of value, not just cash. Nonetheless, where conduct implicates the AKS, it may still be lawful if the conduct fits within one of the statute’s “safe harbors,” which cover certain investments, rental agreements, and personal service contracts, among others. Recent updates have also added safe harbors for value-based healthcare arrangements, reflecting the industry’s shift towards this model.