Integrating eSAGE With EHR Data Using Machine Learning for the Early Detection and Monitoring of Cognitive Impairment in Individuals

Enrolling by invitation

Conditions studied: Dementia, Alzheimer Disease, Mild Cognitive Impairment, Worried Well

In brief

The goal of this observational trial is to leverage the electronic Self-Administered Gerocognitive Examination (eSAGE), a variety of metadata (a set of data that describes and gives information about other data) collected during eSAGE testing, electronic health records (EHR) information, and advanced machine learning (ML) techniques to develop a new tool that can aid in early-stage prediction of individuals with cognitive impairments.

Key facts

Study ID

NCT06017505

Run by

Douglas Scharre

People needed

1486

Starts

2024-09-01

Expected to finish

2027-09-01

Last updated by the study team

2026-06-15

Who can join

Age: 50 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 1. Males and females 50 years of age and over who complete the eSAGE as part of their office visit at the Center for Cognitive and Memory Disorders.

You may not qualify if…

• None

Where it is running

• Nicole Vrettos — Columbus, Ohio, United States

Full record on ClinicalTrials.gov

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