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Incident 1374: Purportedly AI-Generated Sepsis Alert Reportedly Prompted Potentially Inappropriate IV Fluid Administration for a Dialysis Patient, Averted by Clinician Intervention

Description: A nurse at St. Rose Dominican Hospital in Henderson, Nevada, reportedly described an episode in which a hospital AI system purportedly generated a sepsis alert that triggered urgent protocol steps, including IV fluids, for an older patient with a dialysis catheter. Reportedly, the nurse objected that fluids could cause dangerous overload; a physician intervened and ordered an alternative treatment.
Editor Notes: Timeline note: The reported near-harm episode occurred "a few years" before publication; since no specific incident date is provided, the incident date is set to 02/17/2026 (Scientific American report publication date) as a fallback. The incident ID was created 02/21/2026.

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Alleged: Unknown sepsis alert model developer and Unknown healthcare technology developed an AI system deployed by St. Rose Dominican Hospital (Henderson, Nevada), which harmed St. Rose Dominican Hospital (Henderson, Nevada) , patients , Nurses , Doctors and Epistemic integrity.
Alleged implicated AI systems: Unknown healthcare technology and Unknown sepsis alert technology

Incident Stats

Incident ID
1374
Report Count
1
Incident Date
2026-02-17
Editors
Daniel Atherton

Incident Reports

Reports Timeline

AI enters the exam roomIncident Occurrence
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AI enters the exam room

AI enters the exam room

scientificamerican.com

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AI enters the exam room
scientificamerican.com · 2026

Adam Hart has been a nurse at St. Rose Dominican Hospital in Henderson, Nev., for 14 years. A few years ago, while assigned to help out in the emergency department, he was listening to the ambulance report on a patient who'd just arrived---…

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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