A data-driven SaaS for diabetes management: real-time glucose synchronization from CGM and IoT devices, dedicated doctor and patient portals, and predictive analytics that surface trends and health alerts.
Diabetes generates a constant stream of glucose readings, but raw numbers help nobody: patients need to see where they are heading, and doctors need many patients' trends at a glance. The platform had to ingest device data in real time and turn it into signals both sides can act on.
Built on Next.js and PostgreSQL: real-time synchronization with CGM and IoT devices feeds interactive health portals — one for doctors, one for patients — while predictive analytics watch glucose trends and raise health alerts before problems peak.
A care loop connecting the device on the patient to the doctor's screen.
DiaMonitor shows chronic-care monitoring done as a modern SaaS — real-time data, prediction, and two audiences served from one platform. Live demo online.
Tell me what you are building and I will come back with a recommended scope, timeline and price.