The Challenge

Business Problem

LifeSignals Inc. needed a backend service capable of handling a continuous stream of highly sensitive, time-critical patient data with low latency and high scalability to accommodate a growing number of connected patients and devices. The system needed to efficiently process, route, and store a substantial and constant influx of information.

The Goal

Provide a low-latency, highly scalable backend solution for real-time streaming of ECG and other vital patient data to enable advanced patient monitoring systems.

Technology Stack

Backend

Node.js

Infrastructure

WebSocketsMQTT

The Solution

Discovery & Architecture

Triophore designed a bespoke backend streaming server with a scalable architecture as its core principle, likely involving a distributed design for easy expansion as data volume and concurrent connections increase. The architecture emphasized a lightweight design for optimized code, efficient resource utilization, and minimal overhead to reduce latency. The discovery phase focused on selecting appropriate technologies and designing an architecture that could meet the demanding requirements of medical data streaming.

Development Phase

The server was custom-engineered to handle the high demands of medical data, with a lightweight design and low latency optimization achieved through efficient communication protocols, optimized data serialization/deserialization, and minimized processing steps. Robust data handling mechanisms were implemented for queuing, processing, and routing continuous data streams reliably, ensuring data integrity and preventing data loss under peak loads.

Key Feature Implementation

Scalable Architecture, Lightweight Design, Low Latency Optimization, Robust Data Handling, End-to-End Involvement and Ongoing Support

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