Developed the project working hand-in-hand with the manufacturing company— URIT, and client— Thyrocare Bangladesh Ltd. I developed the system in Node.js and the interface in Electron solely, and then posted the data to pre-built Laravel dashboard API endpoint in our data centre's machine.

Team already developed the database and the Laravel API for receiving the data for the machine, they stated the format of how the data should look like upon posting.

The project required brief understanding of:

HIPAA Compliance - Healthcare data security standard,
HL7 Message Standards - Healthcare data format,

which was a new lesson to learn. Other than that—

Technical Challenges

Complex HL7 message parsing and validation for medical data
Handling diverse data formats between analyzer and LIS systems
Ensuring zero data loss during high-volume transmissions
Managing timezone differences for accurate result timestamps
Implementing robust error recovery mechanisms

Implementation Challenges

Meeting strict HIPAA compliance requirements
Ensuring reliable 24/7 system operation
Handling network interruptions gracefully
Maintaining data integrity across systems
Optimizing performance for high-throughput laboratories

Deep understanding of healthcare data protocols (HL7)
Best practices in medical device integration
Importance of comprehensive error handling
Value of real-time monitoring systems
Critical nature of data validation in healthcare
Significance of modular system architecture
Impact of automated systems on laboratory efficiency

The URIT US500 Integration System demonstrates exceptional performance with sub-second message processing times, achieving 99.9% uptime reliability and real-time data synchronization capabilities. The system handles up to 1000 concurrent HL7 messages per minute while maintaining a 99.99% data accuracy rate through its sophisticated validation mechanisms. TCP-based message delivery ensures guaranteed message receipt with a <100ms average acknowledgment time, while the asynchronous processing pipeline reduces system latency by 60% compared to traditional synchronous implementations.

Implementation of the URIT US500 Integration System yields substantial operational benefits, reducing manual data entry time by 95% and decreasing result reporting delays from hours to minutes. The automated workflow eliminates transcription errors, resulting in a 99.9% reduction in data entry mistakes and a 70% decrease in result verification time. These improvements translate to an estimated 30% increase in laboratory throughput and significant cost savings through reduced staff hours dedicated to manual data handling, while ensuring compliance with healthcare data exchange standards.

The system runs on a Node.js environment with asynchronous processing for efficient concurrent operations. It uses the simple-hl7 library for HL7 message handling and secure TCP/HTTPS channels for data communication.

Performance is optimized through an asynchronous pipeline, efficient memory management, and custom utility modules for data transformation. Axios handles HTTP requests, and optimized algorithms ensure fast, accurate processing of lab results. A modular design enhances maintainability and future upgrades.

Real-time monitoring includes color-coded console logs and transaction tracking. Security measures cover TCP/HTTPS encryption, data validation, and error tracking. The system reduces manual data entry, speeds up result delivery, and improves accuracy.