Service for monitoring of medical equipment
#Healthcare #.Net #Knockout.js #SignalR #IoT
Project definition
Location
Client
Project type
Industry
Service list
Back-end Development
Service Integration
Team size
S-Size (1–3 engineers)
Budget
$250,000+
Task
Our task was to enhance and modernize the existing portal for monitoring the operation of medical devices and analyzing the collected data
Solution
During our team’s work, support for more than 10 new devices was implemented, including hemodialysis machines, updated versions of laboratory centrifuges, and more. Our solutions significantly accelerated data processing and reduced memory usage without compromising functionality. Additionally, we achieved impressive results in improving the system’s fault tolerance
Impact
The enhanced system now supports over 10 new medical device types, including dialysis and laboratory equipment, expanding the platform’s reach and improving documentation workflows. Optimized data processing reduced memory usage by up to 25% and increased analysis speed by over 40%, while improved fault tolerance minimized downtime and ensured continuous, reliable monitoring of critical hospital equipment. As a result, the client gained a more stable, scalable, and modernized solution that delivers uninterrupted performance in demanding healthcare environments
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💡 This is an AI-powered project
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Increased performance
The existing solution for monitoring complex medical equipment was improved
Broad range of supported devices
Support for more than 10 new devices was added
Data processing optimization
The data processing speed significantly increased, memory usage was reduced, and fault tolerance was enhanced
Development Process
Our full-stack developers joined the customer’s team to modernize and extend a large, microservice-based monitoring system. Most services were originally built on the .NET Framework, while newer components were developed in .NET Core and Node.js. The frontend was gradually transitioned from legacy jQuery and Ext.js to a more maintainable Knockout.js architecture, a migration successfully completed by the team. We also improved fault tolerance, optimized data handling, and ensured smooth integration of new medical devices, enabling the client to deliver reliable real-time monitoring on a scale
Technologies
Service for monitoring of medical equipment
Application for real-time monitoring of medical equipment
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