An older adult measures her blood pressure while speaking on the phone, illustrating how AI voice agents can support accurate home monitoring and improve patient outcomes. Image Source: ChatGPT-5
AI Voice Agents Improve Blood Pressure Reporting in Older Adults
Key Takeaways: AI and Blood Pressure Monitoring Advances
AI voice agents helped older adults (65+) accurately self-report blood pressure at home.
The study included 2,000 participants with an average age of 72 years, 61% women.
88.7% lower cost-per-reading was achieved compared with nurse-led calls.
85% of patients were successfully reached; 60% completed compliant readings.
Results closed 1,939 Controlling Blood Pressure (CBP) gaps, improving ratings from 1-Star to 4-Star under Medicare Advantage Stars.
Patient satisfaction exceeded 9/10, showing high engagement with AI tools.
Findings are preliminary and not yet peer-reviewed.
AI in Hypertension Care: New Findings from 2,000-Patient Study
An AI voice agent helped older adults with high blood pressure report accurate readings and improved overall patient outcomes, according to preliminary findings presented at the American Heart Association’s Hypertension Scientific Sessions 2025 in Baltimore.
The American Heart Association’s updated 2025 guideline on high blood pressure, released last month, recommends home blood pressure monitoring for all adults with any level of hypertension.
The study, led by Dr. Tina-Ann Kerr Thompson of Emory Healthcare, enrolled 2,000 adults, most aged 65 and older, to test whether AI-driven calls could replace nurse-led outreach. The AI system supported real-time blood pressure reporting, escalated urgent cases, and automatically entered results into electronic health records (EHRs).
“Controlling blood pressure remains a cornerstone for improving cardiovascular outcomes for patients, however, capturing timely, compliant blood pressure readings remains a challenge, particularly for patients with limited access to care,” said Thompson. “In our study, we were able to improve accuracy of blood pressure measures and patient outcomes.”
By the Numbers
2,000 patients studied, majority aged 65+ (avg. 72 years, 61% women)
85% reached by AI agent
67% completed calls; 60% took compliant readings
68% met Controlling Blood Pressure (CBP) Stars thresholds
1,939 CBP gaps closed (1-Star → 4-Star, +17% improvement)
88.7% lower cost-per-reading vs. human calls
Patient satisfaction > 9/10
AI in Hypertension Care: Lower Costs and Better Outcomes
This study showed that AI-driven calls reduced manual clinician workload and lowered costs. Compared with nurse-led calls, the system achieved an 88.7% lower cost-per-reading, while still ensuring escalations to licensed staff when blood pressure or symptoms signaled concern.
Patients rated the system highly, with average satisfaction above 9 out of 10. Thompson noted: “We were surprised by the high patient satisfaction scores after interacting with artificial intelligence-based voice agents. We are excited for what that means for the future, since patient engagement and satisfaction are so critical to health care outcomes.”
Expert Perspective: Independent Validation of AI in Blood Pressure Reporting
Dr. Eugene Yang of the University of Washington, who was not involved in the study, called the findings promising:
“Accurate blood pressure readings are essential to improving control, and new approaches can help make that possible. Breakthrough AI technologies like this could transform how we manage blood pressure by reaching patients wherever they are and addressing critical barriers, such as limited access to care and gaps in patient support.”
Study Limitations: Preliminary, Non-Peer-Reviewed Findings
The study was observational and retrospective, without a control group. Consecutive AI calls were not directly compared with human-only calls, as scaling such outreach with staff was not feasible.
Researchers emphasized that results are preliminary until published in a peer-reviewed journal.
Q&A: AI Voice Agents in Blood Pressure Care
Q: What technology was tested?
A: An AI voice agent that prompted patients to self-report blood pressure readings at home.
Q: Who participated in the study?
A: 2,000 adults, mostly aged 65 and older (average age 72, 61% women).
Q: What were the key results?
A: 85% reached, 60% compliant readings, 1,939 CBP gaps closed, 88.7% cost savings, and >9/10 patient satisfaction.
Q: How did AI improve care management?
A: The AI system escalated abnormal results to licensed staff, logged data into electronic health records, and reduced clinician workload.
Q: Are the findings final?
A: No. The results are preliminary and not peer-reviewed yet.
Looking Ahead: AI’s Role in Hypertension Management
The findings suggest that AI voice technology could become a valuable tool in managing chronic conditions such as hypertension. By improving the accuracy of home blood pressure monitoring, these systems may help providers close quality care gaps, meet Medicare Advantage performance measures, and reduce the workload for already stretched clinical teams.
If confirmed in future peer-reviewed studies, AI-enabled voice agents could extend access to care for older adults, particularly those with limited resources or barriers to regular clinical visits. Beyond cost savings and efficiency, the technology may also offer something harder to measure: greater patient confidence and engagement in their own care.
As health systems search for scalable solutions, AI voice agents may offer a pathway to more accurate monitoring, more satisfied patients, and ultimately, better heart health.
Editor’s Note: This article was created by Alicia Shapiro, CMO of AiNews.com, with writing, image, and idea-generation support from ChatGPT, an AI assistant. However, the final perspective and editorial choices are solely Alicia Shapiroo’s. Special thanks to ChatGPT for assistance with research and editorial support in crafting this article.