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Posted on 06/01/2026 11:56:41 AM PDT by DFG
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.
(Excerpt) Read more at cbsnews.com ...
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They got program input from the Nurse Jackie’s of the world!
Why would you need AI for simple inventory management?
* Quantity X checked out
* Quantity Y checked in
* Quantity X - Quantity Y used
* Quantity Y now in inventory
But I’m not an inventory control expert, so what do I know?
Drug abuse is a serious problem among medical professionals.
Lots of opportunity, lots of reasons to look the other way.
The AI vulnerability: GIGO.
NOT ONE BIT DIFFERENT THAN THE MATH IN A CHECKBOOK.
What about Quantity reported as thrown away?
Left over from patient use, and cannot be put back into inventory?
What about over prescribing and undercounting?
It’s only as good as the data provided. And still might have found it faster than a human can. 20 minutes faster maybe.
Back in the day meds are walked through with two people, signed off with two people. Discards signed by two people besides all the charting and signatures and checks along the way including the pharmacy.
I suppose there’s some residual in surgery the guy could siphon but why take a chance on a high?
I meant triplicate meds. But I’m old. Maybe that doesn’t happen anymore?
Like I said, I’m no inventory expert, but simple Pluses and Minuses doesn’t seem to be AI turf.
The capability of AI is inferior to what humans can do.
This has always been true, and always will.
I assume there are human database entries that may be deliberately misreported.
If the nurse reports the drug as returned to supply, missing amounts may not show up for a while.
You forgot Quantity To Waste.
“The capability of AI is inferior to what humans can do.”
The capability of AI is inferior to what a human expert operating at 100% attention can do.
Better than some humans.
This reads like a premeditated attack on one brand of drug tracking software.
How do we know the guilty drug consumer was not reporting false numbers?
hospital I worked at had nurses digging in the sharps box to get to the naughty stuff. how messed up would you need to be to do that? They had some early Ai that would flag inappropriate medical record use. for instance if you looked at a record that of a patient that lived on the same street it would flag you.
Got to make sure the dope is up to spec for the patient.
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