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

February 17, 2026

A nurse at St. Rose Dominican Hospital in Henderson, Nevada reported an incident involving an older dialysis patient and an AI-generated sepsis alert. The alert reportedly triggered IV fluid administration, which the nurse contested as potentially harmful due to overload risk. A physician intervened and opted for alternative treatment. This incident underscores the importance of guardrails for AI, which can be established through involvement in HISPI Project Cerebellum TAIM – JOIN US to learn about HISPI Project Cerebellum TAIM and help establish these essential safeguards.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.712, rank 1. TAIM detail and related incidents →
MANAGE 4.1 — similarity 0.703, rank 2. TAIM detail and related incidents →
MAP 4.2 — similarity 0.685, rank 3. TAIM detail and related incidents →

Alleged deployer: st.-rose-dominican-hospital-(henderson-nevada)
Alleged developer: unknown-sepsis-alert-model-developer, unknown-healthcare-technology
Alleged harmed parties: patients, nurses, doctors, st.-rose-dominican-hospital-(henderson-nevada), epistemic-integrity

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1374

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

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