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CHARGE Surge: Sentri7 failed to detect fentanyl diversions at a Tennessee hospital
- Levi Miller
- 2 days ago
- 2 min read
Wolters Kluwer’s Sentri7, an AI drug-monitoring software employed by over 700 hospitals, failed to detect five instances of fentanyl diverted by a nurse, John A. Stevenson, at Erlanger Baroness between March and June of 2025. Most concerningly, state and hospital officials only identified fentanyl diversions through a retrospective investigation and dedicated audit of Sentri7, which claims to monitor and flag 60 ‘attributions of [drug diversion] risk’ to hospital employees. The Sentri7 breach demonstrates a paradigm developing across the health care industry: pre-deployment scrutiny of even the most trusted AI systems is not enough.
Most hospitals have implemented AI governance committees which introduce guidelines and ethical regulations for AI deployment. Those committees build the internal regulatory mechanism to govern implementation of AI systems and manually audit AI performance. Such committees, however, don’t provide the continuous operational monitoring that AI technologies demand. Moreover, because AI technologies often operate as proprietary black boxes, hospital officials often misunderstand their machinic function, and errors can be difficult to scrutinize.
According to the Tennessee Board of Nursing, Stevenson testified that he retained “unused fentanyl that would have otherwise been wasted after surgical procedures.” That diversion was uncovered in the first place not because of a catalog of drug inventory or an intervention by the hospital’s Governance Committee, but because Stevenson demonstrated behavior consistent with drug impairment.
The Sentri7 failure was an unknown unknown: when AI systems monitor their own performance, their malfunction is often obscured. Chance human intervention detected the Sentri7 diversion incidentally, a phenomenon which cannot be expected to reproduce across scale. The stakes are high: as many as 15% of all healthcare workers are believed to have diverted drugs at least once in their careers, and, according to the CDC, drug diversion is responsible for at least 13 outbreaks since 1985. Rather than trusting the internal auditing of AI system vendors, hospitals should seek out methods which explain and provide continuous post-deployment monitoring of AI systems.
