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

Launched by DOUGLAS SCHARRE · Aug 24, 2023

Keywords

ClinConnect Summary

This is an observational study at Ohio State University’s Center for Cognitive and Memory Disorders. Researchers will collect information from the electronic Self-administered Gerocognitive Examination (eSAGE) and from participants’ electronic health records (EHR). They will use machine learning to find which parts of the EHR best help predict early cognitive problems, with the goal of creating an enhanced eSAGE (eSAGE+) tool to help identify cognitive impairment earlier and support Alzheimer’s disease management.

Who can join? Adults aged 50 and older who complete the eSAGE during a routine visit at the center may be eligible. The study plans to enroll about 1,486 people and is currently enrolling by invitation. It does not involve a treatment or a drug/device trial. Participants will have their eSAGE data and varying amounts of EHR data reviewed, and the main outcome is how accurately the tool can distinguish between people with cognitive impairment and those without, measured by the AUC of the ROC curve (a value from 0 to 1, with higher numbers meaning better accuracy). Data sharing is not on an individual level. The study runs from 2024 toward a projected completion around 2027.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • 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.
• Exclusion Criteria:
• • None