Can smart alerts stop Post-Surgery confusion in Memory-Impaired patients?

NCT ID NCT05777187

Terminated Knowledge-focused Sponsor: Icahn School of Medicine at Mount Sinai Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether computer alerts in medical records could help prevent postoperative delirium (sudden confusion after surgery) in patients with cognitive impairment. Researchers used machine learning to identify high-risk patients and prompted anesthesiologists with 12 best practices. The trial was terminated early, so it's unclear how well the alerts worked.

What this could mean

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

Active substance: Clinical decision support alerts in the electronic health record
What this could lead to: If successful, this approach could reduce delirium rates in surgical patients with cognitive impairment by prompting doctors to follow best practices.
What could go wrong: The trial was terminated early, so results are limited. The intervention relies on doctors following alerts, which may not always happen.

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.

Cognitive Dysfunction Emergence Delirium

As listed by the trial registrant

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

COGNITIVE IMPAIRMENT DECISION SUPPORT SYSTEMS, CLINICAL POST OPERATIVE DELIRIUM

Contacts and locations

Locations

Mount Sinai Health System

New York, New York, 10029, United States

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