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AI Assistance for Critical Care Outcomes

This study is looking at how using a special type of artificial intelligence (AI) called a large language model (ChatGPT-5) might help doctors care for critically ill patients. The AI will analyze your de-identified (anonymous) medical information when you are admitted to the intensive care unit (ICU) and offer suggestions for diagnosis and treatment. Researchers want to see if this AI assistance can reduce medical errors. You might be able to join if you are an adult (18 years or older) admitted to the medical intensive care unit (MICU) at participating hospitals with conditions like critical illness, sepsis, or acute respiratory failure. The study aims to enroll 1000 patients.

Study design
This is an interventional, randomized study involving 1000 participants. Patients will be randomly assigned to either receive standard care or care assisted by ChatGPT-5.
What's involved
Not specified in the trial record.
Compensation
Not stated in the trial record.
Follow-up
Your medical errors will be tracked from the time of ICU admission through day 7 of your ICU stay or until you are discharged from the ICU, whichever comes first.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT07293078

Point-of-Care AI Assistance and Critical Care Outcomes: A Randomized Trial

Not Yet Recruiting
PHASE1Ages 18+InterventionalTreatment
MetroWest Artificial Intelligence Research Workgroup
~1,000 participants
Updated 2025-12-18 on ClinicalTrials.gov
What's tested:Point-of-care large language model decision support (ChatGPT-5)

At a glance

Recruiting sites
0 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Composite of Medical Errors
Measured over From the time of ICU admission through day 7 of ICU stay or ICU discharge, whichever comes first.

Conditions

Critical Illness
Sepsis
Acute Respiratory Failure (ARF)
Multi-organ Failure
Acute Kidney Injury
Delirium Confusional State
Shock

Explore related trials

Acute Renal FailureAcute Respiratory FailureCritical IllnessDeliriumMultiple Organ FailureSepticemiaShock

Where it's being run

1 sites across 1 states
Massachusetts1

Study leadership

  • Eric Silverman, M.D. · PRINCIPAL_INVESTIGATOR · MetroWest Medical Center and St. Vincent Hospital

Who to contact

Eric Silverman, M.D. principal Investigator, M.D.
[email protected]
508-344-5680
Email the study team

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What this trial measures

  • Composite of Medical ErrorsFrom the time of ICU admission through day 7 of ICU stay or ICU discharge, whichever comes first.

    Proportion of patients with at least one clinically important diagnostic or therapeutic error identified by masked chart review (e.g., missed or delayed critical diagnosis, major guideline-discordant therapy with potential for harm).