Computer alert aims to stop kidney damage before it starts

NCT ID NCT03590028

Ongoing Prevention Sponsor: University of Chicago Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

This study tests whether a computer program that spots early signs of acute kidney injury can improve patient care. Hospitalized adults at risk are randomly assigned to get an early kidney specialist visit or standard care. The goal is to see if early specialist advice can prevent kidney function from worsening.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Early nephrology consultation triggered by a risk algorithm
What this could lead to: If it works, this could lead to a standard way to catch kidney injury early and prevent it from getting worse in hospital patients.
What could go wrong: This is a small, single-center trial with 180 participants, so results may not apply to all hospitals. The algorithm may not accurately predict risk for everyone.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

acute kidney injury

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ACUTE KIDNEY INJURY

Contacts and locations

Locations

University of Chicago Medical Center

Chicago, Illinois, 60637, United States

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Other studies related to the condition(s) this trial covers.