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.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Area Under the Curve (AUC) for the ROC analysis in predicting subjects with cognitive impairment from cognitively normal subjects.
Timeframe: 1 day visit