AbstractBackgroundBased predominantly on longitudinal cohort studies, the prevalence of Alzheimer’ disease (AD) is estimated to be 3‐10% in individuals over 65 years old and has increased risk (1.5‐2.0 times) in Black and Hispanic/Latinx individuals. In our prior analyses of the University of California Los Angeles (UCLA) electronic health record (EHR), we found that only 1% of patients over 65 years old are diagnosed with AD, and AD is less likely to be diagnosed in Black and Hispanic/Latinx patients compared to white patients (relative risk 0.86‐0.9). One solution to the underdiagnosis of AD in real‐world clinical care, is to screen for dementia.MethodsRecent work by several University California AD Centers and the California Department of Public Health developed a short (<5 min) dementia screening tool (DST). The DST includes a three‐question questionnaire for the patient and an informant if present, followed by the Mini‐Cog if applicable (Figure 1). The questions ask about changes in language, memory, and personality (Figure 2). The DST is considered positive if any question is answered “Yes” by the patient or informant, or if the Mini‐Cog score is <3 out of 5 points. To improve care for non‐English speaking patients, we developed the questionnaire in Spanish, which was adapted to Hispanic/Latinx culture.ResultsThe DST is integrated in the EHR. The questionnaires are sent to patients prior to the visit via the messaging system. Answers to the questionnaire and the Mini‐Cog are entered into a flowsheet in an easily accessible EHR tab. We also created a documentation link that automatically loads the DST results, final score, and recommendation into provider notes. The DST is live at a diverse UCLA family medicine clinic, which sees HL and Black patients. In the first three weeks, 178 patients were screened with the toolkit and eight patients were referred for specialty care.ConclusionsWe have developed a cultural and linguistic responsive DST that is integrated in the EHR. We will continue evaluating its ability to increase appropriate diagnosis of dementia in diverse racial and ethnic groups, and share our DST including EHR integration so it can be implemented elsewhere.