AI Voice Agents Improve Blood Pressure Monitoring Accuracy and Patient Outcomes in Older Adults
Artificial intelligence voice agents significantly enhanced the accuracy of home blood pressure readings and improved care management for older adults with hypertension, demonstrating cost-effective potential for addressing healthcare access barriers.

Artificial intelligence voice agents helped older adults with high blood pressure accurately report blood pressure readings and improved blood pressure management, according to preliminary research presented at the American Heart Association's Hypertension Scientific Sessions 2025. The study involved 2,000 adults, primarily ages 65 and older, evaluating the effectiveness of voice-enabled AI agents in engaging patients to self-report accurate blood pressure readings instead of traditional healthcare professional calls.
The AI voice agent calls utilized commercially available technology in multiple languages, including English and Spanish. When blood pressure readings fell outside threshold ranges or patients reported symptoms such as dizziness, blurred vision, or chest pain, calls were immediately escalated to licensed nurses or medical assistants. This integration into clinical workflows reduced manual workload by clinicians and resulted in an 88.7% lower cost-per-reading compared to human nurses performing similar tasks.
During the study period, 85% of patients were successfully reached by the voice-based AI agent, with 67% completing calls and 60% taking compliant blood pressure readings during the interaction. Among these patients, 68% met controlling blood pressure Stars compliance thresholds. The Medicare Advantage and Healthcare Effectiveness Data and Information Set measure increased from a previously reported 1-star rating to 4-star rating, representing a 17% improvement with 1,939 blood pressure gaps closed.
Patient satisfaction exceeded expectations, with average ratings exceeding 9 out of 10 on satisfaction surveys. Lead study author Tina-Ann Kerr Thompson noted surprise at the high patient satisfaction scores, emphasizing the importance of patient engagement for healthcare outcomes. The study demonstrates how integrating AI into care can improve home blood pressure monitoring completion rates, potentially transforming hypertension management by reaching patients wherever they are and addressing critical barriers such as limited access to care.
The research aligns with the American Heart Association's Target:BP initiative, which helps healthcare organizations improve blood pressure control rates through evidence-based programs. Home blood pressure monitoring is recommended for all adults with any level of high blood pressure, as noted in the Association's new 2025 guideline on high blood pressure. While the findings are considered preliminary until published in a peer-reviewed journal, they suggest significant potential for AI technologies to enhance cardiovascular care delivery and outcomes.