A US-based startup specializing in software solutions that digitize operations and processes for healthcare providers, including hospitals and clinics.

• Manual and Inaccurate Tracking: Inventory management relied on manual audits, which were time-consuming, prone to human error, and provided only a static view of stock levels.
• Lack of Real-Time Data: The system was unable to provide real-time insights into drug distribution, leading to stock imbalances across departments.
• Inventory Imbalances: The inability to track location-specific demand resulted in overstocking in some areas and shortages in others, leading to wastage and delays in patient care.
• Delayed Patient Care: Inefficiencies in the supply chain directly impacted the ability of healthcare staff to access necessary medications, affecting the quality and timeliness of patient treatment.

QBurst developed a comprehensive, end-to-end solution that seamlessly integrates with new hardware components to digitize drug inventory management. We worked closely with the client to deliver a complete suite of services from design to deployment and maintenance. The entire system relies on AWS Greengrass for edge intelligence and Flutter for cross-platform mobile functionality.

Key components:

• IoT Integration: We enabled real-time data transfer from smart medical bins, equipped with IoT sensors, to the cloud. Every action—stocking, dispensing, and replacing medicines—is captured as a real-time event.
• Data Processing and Analytics: A scalable consumer application was built to process event data in real-time, calculating utilization, current stock, and usage trends.
• Intuitive User Interfaces: The processed data is presented on user-friendly dashboards via a web application and a mobile app, allowing healthcare staff to monitor inventory from anywhere.
• Predictive Insights: The system was designed to analyze historical data and predict future usage, enabling healthcare facilities to precisely manage replenishment and avoid stockouts or overstocking.

• Real-Time Data Streams: We utilized AWS Greengrass for real-time event publishing and Kinesis streams for scalable, ordered event processing from multiple IoT devices.
• Performance Optimization: Introduced server-side caching layers to overcome performance bottlenecks associated with document-based databases, ensuring fast data retrieval.
• Flexible Bin Modes: Developed a feature that allows users to switch bin modes via the mobile app, with real-time feedback from the physical devices, ensuring operational flexibility.
• Robust Maintenance: Implemented a system for real-time log captures and periodic batch jobs to ensure data integrity and facilitate proactive bug fixing.

1. Improved Operational Efficiency: The automated system eliminated the need for manual audits, streamlining inventory management and freeing up staff to focus on patient care.
2. Reduced Costs & Wastage: Real-time visibility and usage predictions minimized overstocking, reducing drug wastage by over 40% and significantly lowering operational costs.
3. Enhanced Quality of Care: The solution ensures timely and accurate distribution of medicines, directly improving the quality and responsiveness of patient care.
4. Streamlined Deployment: DevOps support and a well-defined release process ensured a smooth and timely deployment of the MVP, accelerating the client’s time-to-market.
5. Scalable Architecture: The robust and modern technical stack ensures the solution can easily scale to accommodate future growth and new features, providing a long-term strategic advantage.