Using a Multilingual AI Care Agent to Reduce Disparities in Colorectal Cancer Screening: Higher FIT Test Adoption Among Spanish-Speaking Patients

Colorectal cancer (CRC) screening rates remain disproportionately low among Hispanic and Latino populations compared to non-Hispanic whites. While artificial intelligence (AI) shows promise in healthcare delivery, concerns exist that AI-based interventions may disadvantage non-English-speaking populations due to biases in development and deployment. To evaluate the effectiveness of a bilingual AI care agent in engaging Spanish-speaking patients for CRC screening compared to English-speaking patients. This retrospective analysis examined an AI-powered outreach initiative at WellSpan Health in Pennsylvania and Maryland during September 2024. The study included 1,878 patients (517 Spanish-speaking, 1,361 English-speaking) eligible for CRC screening who lacked active online health profiles. A bilingual AI conversational agent conducted personalized telephone calls in the patient’s preferred language to provide education about CRC screening and facilitate fecal immunochemical test (FIT) kit requests. Primary outcome was FIT test opt-in rate, with secondary outcomes including connect rates and call duration. Statistical analysis included descriptive statistics, bivariate comparisons, and multivariate logistic regression. Spanish-speaking patients demonstrated significantly higher engagement across all measures compared to English-speaking patients: FIT test opt-in rates (18.2% vs. 7.1%, p<0.001), connect rates (69.6% vs. 53.0%, p<0.001), and call duration (6.05 vs. 4.03 minutes, p<0.001). Demographically, Spanish-speaking patients were younger (mean age 57 vs. 61 years, p<0.001) and more likely to be female (49.1% vs. 38.4%, p<0.001). In multivariate analysis, Spanish language preference remained an independent predictor of FIT test opt-in (adjusted OR 2.012, 95% CI 1.340-3.019, p<0.001) after controlling for demographic factors and call duration. AI-powered outreach achieved significantly higher engagement among Spanish-speaking patients, challenging the assumption that technological interventions inherently disadvantage non-English speaking populations. The 2.6-fold higher FIT test opt-in rate among Spanish-speaking patients represents a notable departure from historical patterns of healthcare disparities. These findings suggest that language-concordant AI interactions may help address longstanding disparities in preventive care access. Study limitations include its single healthcare system setting, short duration, and lack of follow-up data on completed screenings. Future research should assess long-term adherence and whether higher engagement translates to improved clinical outcomes.