Image
A global market leader in portable oxygen technology partnered with Birlasoft to modernize its smart medical devices through advanced remote monitoring, intelligent device engineering, and cloud-enabled upgrades. The goal was to reduce operational overhead, improve service quality, and deliver a superior patient and healthcare provider experience. By integrating AI, IoT, and edge computing, Birlasoft enabled real-time visibility, predictive maintenance, and secure device management across geographies.
- Enabled real-time monitoring and proactive maintenance of oxygen delivery systems
- Integrated AI and edge connectivity for smarter diagnostics and firmware upgrades
- Delivered secure cloud communication and centralized device management
- Positioned the client for scalable, data-driven innovation in respiratory care
The Challenge
The client faced several operational and technical challenges in managing its fleet of portable oxygen devices across global markets.
- Limited Device Visibility: Lack of real-time monitoring led to delayed issue detection and reactive maintenance
- Manual Maintenance Processes: Field service teams relied on manual checks, increasing downtime and service costs
- Fragmented Firmware Updates: Devices lacked centralized control for software upgrades, risking outdated functionality
- Security and Scalability Gaps: Managing device data across geographies required robust encryption and scalable infrastructure
The Solution
Birlasoft implemented a comprehensive AI-powered remote monitoring and device engineering solution, combining embedded systems, IoT integration, and cloud infrastructure.
- Real-Time Monitoring & Data Security: Enabled continuous tracking of oxygen purity, battery status, and device health with secure data transmission
- Proactive Maintenance via Analytics: Leveraged AI to analyse usage patterns and error alerts, enabling predictive servicing and reduced downtime
- Firmware & Cloud Communication: Delivered seamless software updates and secure cloud connectivity using MQTT, Python, and embedded Linux
- IoT & Edge Integration: Designed sensor-based connectivity plans and enabled real-time data exchange between devices and cloud platforms via cellular networks
- Azure Infrastructure & Telemetry Testing: Set up encrypted telemetry pipelines and validated data routing for scalable application integration
The Impact
The solution delivered measurable improvements in device performance, service efficiency, and customer satisfaction
Key Benefits
- 30% Improvement in Collaboration: Real-time ETA and updates empowered customers and third-party service providers with better coordination
- 20% Faster Service Delivery: Intelligent alerts and remote diagnostics enabled quicker issue resolution and reduced field visits
- 40% Reduction in Maintenance Efforts: Centralized global portal streamlined device management and minimized manual interventions
- 25% Fewer Security Incidents: Enhanced encryption and access controls improved data protection across the device ecosystem
Birlasoft’s AI-powered remote monitoring and device engineering solution enabled the client to transform its smart medical device operations—delivering real-time insights, predictive maintenance, and secure cloud connectivity. By integrating embedded systems, IoT, and AI, the solution reduced operational overhead, improved service quality, and positioned the client as a leader in intelligent respiratory care.
