The electronic health record Risk of Alzheimer's and Dementia Assessment Rule (eRADAR): External validation in two real-world healthcare systems

Music City Center 

Fifty percent of people living with dementia are undiagnosed, delaying access to treatment, education, and support. There is a need for large-scale, low-cost strategies to improve dementia detection. The electronic health record (EHR) Risk of Alzheimer's and Dementia Assessment Rule (eRADAR) was developed to identify older adults at risk of having undiagnosed dementia using routinely collected clinical data. In this webinar, we will present two studies aimed at evaluating the potential impact of using eRADAR to improve dementia diagnosis. We will present external validation of the eRADAR risk score in two real-world healthcare systems, Kaiser Permanente Washington and the University of California at San Francisco. This talk will highlight statistical considerations for validating a prediction model intended for prospective clinical implementation, including temporal validation and auditing algorithmic fairness.

clinical prediction model

EHR data

health equity