Modernizing Healthcare Data Infrastructure: Distributed Systems and Microservices Architecture for Enhanced Clinical Integration
This article presents a comprehensive case instruction on the successful migration and consolidation of fragmented healthcare data systems into a unified distributed architecture. The transformation addresses critical challenges faced by healthcare enterprises, including data silos, inefficient workflows, and security vulnerabilities. Built on microservices architecture and cloud-native technologies, the new system ensures real-time data synchronization across departments while maintaining strict access controls. The implementation strategy featured a phased deployment with automated validation mechanisms, continuous data replication, and robust rollback capabilities to protect integrity during transition. The results demonstrate significant improvements in interoperability through standardized FHIR-based APIs, enhanced system availability, reduced response times for clinical queries, and substantial operational cost savings. The distributed architecture provides the foundation for future scalability as healthcare data volumes continue to expand exponentially, ultimately improving clinical decision-making, workflow efficiency, and patient care outcomes through faster time-to-diagnosis and increased direct patient care time.
Authors
- Soham Chakraborti
Institutions
- Carnegie Mellon University (US)
Publication Details
- Journal
- Technix International Journal for Engineering Research
- Published
- 2025-01-01
- DOI
- https://doi.org/10.56975/tijer.v12i6.158416
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00