Healthcare Analytics Platform: Engineering the Future of Data-Driven Healthcare
This article examines the implementation of an advanced healthcare analytics platform that transformed patient care delivery and operational efficiency across a major healthcare network. The solution addresses critical challenges in data integration, regulatory compliance, and operational demands while demonstrating the effectiveness of a structured three-phase implementation approach. The platform successfully integrates diverse healthcare data sources including Electronic Health Records, clinical systems, IoT devices, and external databases while maintaining strict HIPAA compliance. The implementation methodology encompasses foundation building, capability enhancement, and system optimization phases, resulting in significant improvements in patient outcomes, operational efficiency, and cost reduction. The article highlights how sophisticated data engineering and analytics capabilities can address healthcare-specific challenges while enabling predictive analytics and real-time decision support, ultimately leading to improved healthcare delivery and resource utilization.
Authors
- Suman Etikala
Institutions
- Klinik und Poliklinik für Psychosomatik und Psychotherapie (DE)
Publication Details
- Journal
- International Journal of Advances in Engineering and Management
- Published
- 2025-04-01
- DOI
- https://doi.org/10.35629/5252-0704167173
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00