Abstract: FR-PO0047
Using Artificial Intelligence (AI)-Assisted Short Message Service (SMS) Text Messaging to Support Patients with CKD: Early Lessons from a Community Nephrology Pilot
Session Information
- Artificial Intelligence: Clinical Prediction, Decision Support, and Digital Kidney Care
October 23, 2026 | Location: Exhibit Hall A, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Artificial Intelligence, Digital Health, and Data Science
- 300 Artificial Intelligence, Digital Health, and Data Science
Author
- Lowentritt, Joshua E., Generated Health, Inc, Wilmington, Delaware, United States
Group or Team Name
- Generated Health
Background
Patients with chronic kidney disease (CKD) require ongoing education and self-management, yet community nephrology practices often lack scalable tools to support engagement between visits. SMS-based programs may extend care team capacity. This study's objective was to evaluate patient engagement, response patterns, and patient feedback from a pilot SMS-based program using AI support in patients with CKD.
Methods
Thirty patients with CKD stages 2–4 from a community nephrology practice were enrolled during routine visits (August–September 2025). All had established nephrology care and SMS capability; 18 had diabetes and 28 had hypertension. Patients participated in a 6-month SMS-based program (October 2025–February 2026) including prompts for blood pressure and glucose (if applicable), symptom checks, and educational messaging. AI was used to interpret patient responses.
Results
Over 6 months, 25 of 30 patients (83%) responded to at least one message. A total of 700 responses were submitted, including 347 physiologic readings. Patients also submitted 74 clinical questions across topics including device use, condition education, and medications. Among 15 respondents to a net promoter score (NPS) query, the NPS was 67. Patients reported improved awareness and valued the accessibility of ongoing support.
Conclusion
An SMS-based CKD support program using AI was feasible and generated sustained patient engagement in a community nephrology setting. These findings support further development of scalable approaches to enhance CKD self-management and care delivery.
Funding
- Commercial Support – Generated Health, Inc.