At a Tennessee hospital, a nurse stole fentanyl and AI missed it, state records say

A nurse at Erlanger Baroness, the largest hospital in Chattanooga, Tennessee, was caught stealing and abusing leftover fentanyl after anesthesia staff noticed his slurred speech and fatigue while on duty. The nurse failed a drug test and was fired, later admitting to pilfering fentanyl daily for months, according to a Tennessee Board of Nursing consent order. The case is unusual because Erlanger uses Sentri7, an AI-powered medication-monitoring system designed to detect drug diversions faster than humans. However, the software failed to flag missing drugs or inconsistencies for months, despite fentanyl theft being a common and well-documented method of diversion. Healthcare facilities are not required to disclose AI software use or report malfunctions, leaving no public record of how often these systems fail. Erlanger Medical Center declined to comment, while Wolters Kluwer, the Dutch company behind Sentri7, stated it remains confident in its software but did not address the incident. Experts, including Johns Hopkins neurologist David Rastall, criticized the lack of transparency in AI healthcare tools, warning that errors may go unreported and unaddressed. Pharmacist Jacob Smith questioned how such a theft could go undetected, emphasizing that fentanyl diversion is a widely known risk. The Drug Enforcement Administration requires hospitals to report lost or stolen drugs, but these reports do not include details about AI software failures. Terri Vidals, founder of Rxpert Solutions, suggested the Erlanger case might stem from user error rather than a system malfunction, though no definitive cause has been confirmed. The incident raises broader concerns about AI oversight in healthcare, where proprietary technology and limited transparency may allow systemic failures to persist unchecked.