A National-Scale Public Health Intelligence Platform for Canada: End-to-End Data Engineering, Analytics, Alerting, and Business Intelligence

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Authors: Sahil Hareshbhai Patel, Princy Hareshbhai Patel
Cited by: 0

Abstract

Public health decision-making increasingly depends on timely, explainable, and reproducible analytics. However, national health data pipelines are often fragmented, retrospective, and inaccessible to decision-makers. This paper presents a top-tier, end-to-end Public Health Intelligence Platform designed for Canada that integrates automated Extract–Transform– Load (ETL) pipelines, a dimensional PostgreSQL data warehouse, a FastAPI-based analytics and alerting layer, and an executive Power BI dashboard. The platform supports longitudinal health surveillance, explainable alerting, and interactive analytics with full auditability. Experimental evaluation demonstrates efficient query performance, reliable alert execution, and effective visualization for policy-oriented decision support. The system is production-ready, extensible, and suitable for adoption by public health agencies and research institutions

Fields of Study & Subjects

Data-Driven Disease Surveillance Big Data and Business Intelligence Artificial Intelligence in Healthcare

Publication details

Journal / source
International Journal for Research in Applied Science and Engineering Technology
Volume
14
Issue
1
Pages
1518–1519
Publication date
30 January 2026