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

> **NCT06017505** · — · ENROLLING_BY_INVITATION · sponsor: **Douglas Scharre** · enrollment: 1486 (estimated)

## Conditions studied

- Dementia
- Alzheimer Disease
- Mild Cognitive Impairment
- Worried Well

## Interventions

- **DIAGNOSTIC_TEST:** electronic self administered gerocognitive examination (eSAGE)

## Key facts

- **NCT ID:** NCT06017505
- **Lead sponsor:** Douglas Scharre
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ENROLLING_BY_INVITATION
- **Start date:** 2024-09-01
- **Primary completion:** 2027-09
- **Final completion:** 2027-09
- **Target enrollment:** 1486 (ESTIMATED)
- **Last updated:** 2025-03-21


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06017505

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06017505, "Integrating eSAGE With EHR Data Using Machine Learning for the Early Detection and Monitoring of Cognitive Impairment in Individuals". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT06017505. Licensed CC0.

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