CARE-link: Open-Source LLM Platform for Remote Diabetes Management
New LLM-powered web platform connects clinicians and patients via WhatsApp to manage gestational diabetes.
CARE-link (Clinical Assistant for Remote Engagement Link) is an open-source, web-based EHR software developed by Prince Ebenezer Adjei and colleagues to improve gestational diabetes management. The platform employs a large language model (LLM)-mediated workflow to bridge clinicians and patients. It aggregates data patients generate outside the hospital (e.g., glucose readings, dietary logs), summarizes relevant clinical information, and provides context-aware decision support to clinicians. For patients, CARE-link delivers clear explanations of management plans and timely lifestyle guidance through a familiar WhatsApp interface. Built with a modular architecture, the platform can be adapted to other chronic conditions requiring longitudinal tracking and behavioral support.
The dual-facing design promotes continuous monitoring, individualized care, and reduces the burden of in-clinic follow-ups—especially valuable in resource-constrained settings where access to specialists is limited. By automating data summarization and patient communication, CARE-link enhances clinical oversight and patient compliance. The system is designed to strengthen continuity of care without requiring expensive infrastructure. As an open-source project, it invites community contributions and customization for different healthcare contexts. The paper, published on arXiv, details the system's architecture and potential impact on diabetes management and beyond.
- CARE-link uses an LLM-mediated workflow to aggregate patient-generated data and summarize clinical information for clinicians.
- Patients receive management plan explanations and lifestyle guidance via a WhatsApp interface, reducing need for in-person visits.
- The platform is open-source and modular, designed to be adapted for other chronic conditions like hypertension or heart disease.
Why It Matters
LLM-powered remote monitoring platform reduces clinic burden and improves diabetes care in low-resource settings.