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.

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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
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article

Healthcare Analytics Platform: Engineering the Future of Data-Driven Healthcare

Suman Etikala
International Journal of Advances in Engineering and Management
Artificial Intelligence in Healthcare
article

Healthcare Analytics Platform: Engineering the Future of Data-Driven Healthcare

Suman Etikala
article en

Abstract

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.

International Journal of Advances in Engineering and ManagementVol. 7(4)
Klinik und Poliklinik für Psychosomatik und Psychotherapie (DE)
Openalex Percentile: Top 92%
Artificial Intelligence in Healthcare
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