AI tool aims to predict Post-Surgery confusion in seniors
NCT ID NCT06216483
First seen Jun 27, 2026 ยท Last updated Jun 27, 2026
Summary
This study tests whether an AI tool that uses electronic medical records can help predict and reduce delirium (sudden confusion) in older adults after major surgery. About 60 people aged 65 and older will take part. The goal is to see if giving doctors a delirium risk alert can lower the chance of confusion, falls, and long-term memory problems.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for DELIRIUM IN OLD AGE are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Indiana University Health University Hospital
Indianapolis, Indiana, 46202, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Bedrest be gone? gamified therapy aims to keep seniors moving in the hospital
- Which alarm keeps delirious patients safer? new study tests two High-Tech solutions
- Tiny study compares trazodone and quetiapine for ICU delirium โ but was cut short
- New study aims to stop Post-Surgery confusion with sleep and brain training
- Simple signs and amplifiers may cut hospital delirium
- Can a simple screening tool help nurses catch delirium in seniors?