At A Tennessee Hospital, Nurse Stole Fentanyl And AI Missed It, State Records Say

TUESDAY, June 9, 2026 (HealthDay News) — About a year ago at Erlanger Baroness, the largest hospital in Chattanooga, anesthesia staff noticed that a nurse was slurring his words and struggling to stay awake while on duty in the surgery center, according to a Tennessee Board of Nursing consent order.

In the days that followed, the nurse failed a drug test and was fired, the order states. The nurse later admitted that for months he had pilfered and abused fentanyl left over after surgeries, sometimes daily, according to the order.

Under most circumstances, this would be a routine case of what is known as “drug diversion,” the unlawful taking of controlled substances from healthcare facilities — believed to be so widespread that it occurs at just about every U.S. hospital.

But the Erlanger case stands out because a high-tech watchdog was supposed to be on guard.

The hospital uses the newest line of defense against drug diversion: Sentri7, medication-monitoring software powered by artificial intelligence and designed to detect missing drugs faster than any human can. But for months at Erlanger, Sentri7 failed to raise alarms, overlooking missing drugs and other “inconsistencies” that “should have been flagged,” the nursing board’s order states.

The Erlanger case, which has not been previously reported, offers a rare glimpse at an apparent failure of AI drug diversion software used in hundreds of U.S. hospitals with little transparency or oversight. Healthcare facilities are not required to disclose their implementation of this kind of software or report malfunctions to anyone, so there is no full account of how widely these programs are used or how often they fail.

Erlanger Baroness, also referred to as Erlanger Medical Center, declined to comment on its use of Sentri7 or on the diverted drugs. André Rebelo, a spokesperson for the health division at Wolters Kluwer, the Dutch technology company behind Sentri7, declined to answer questions about what happened at Erlanger but said the company remained “confident in our software.”

Little Transparency

Dr. David Rastall, a Johns Hopkins Medicine neurologist and AI researcher, said that because AI technology is heavily proprietary and hospital officials often don’t understand how it works, this lack of transparency allows for errors to be buried rather than fixed. That means errors could be repeated at other hospitals, he said.

“The ideal for patients, caregivers and hospital systems would be, when an AI is found to be making some type of error, that becomes very transparent and public,” Rastall said.

The Drug Enforcement Administration (DEA) mandates that hospitals confidentially report lost or stolen drugs. Hospitals can also report stolen drugs to state health agencies, which license medical professionals and investigate wrongdoing.