Secure Medical Data Governance Model Based on Business Intelligence for Public Health Decision Support in Kinshasa

Abstract: Managing medical data in the health systems of low- and middle-income countries (LMICs) remains a major challenge, combining fragmented sources, chronic information insecurity, and limited decision-making power. This research proposes, implements, and validates an integrated medical data governance model called SMGD-BI (Secure Medical). Data Governance – Business Intelligence), specifically adapted to the context of Kinshasa, Democratic Republic of Congo. Based on a Design Science Research (DSR) approach, the model articulates a four-layer Business Intelligence (BI) architecture (acquisition, multidimensional storage, analysis, visualization) with a Security-by-Design security foundation combining AES-256 and TLS 1.3 encryption, hybrid RBAC/ABAC access control, blockchain traceability, and differential anonymization. A functional prototype, developed with open-source technologies (PostgreSQL, Airbyte , Pentaho , Metabase ) and Power BI, was evaluated on synthetic (500,000 queries) and anonymized real-world (45,000 queries) datasets. Experimental results show average response times of 3.87 seconds for complex queries, a throughput of 65 queries per second, an ETL latency of 8.7 minutes under incremental load, and 98.7% availability under simulated electrical and network constraints. Penetration tests revealed no critical vulnerabilities, with a 100% detection rate of unauthorized access. Anonymization using differential confidentiality (DCT ) resulted in an average relative deviation of 4.2% on aggregated measurements. Participatory validation with 22 experts confirmed the relevance of the 12 key performance indicators (average score 4.3/5) and user satisfaction (UEQ-S score of +1.62). This work fills a scientific gap in the literature on health information systems in the context of low- and middle-income countries (LMICs) and provides an operational roadmap for deploying secure medical data governance across the Kinshasa metropolitan area. Keywords: Medical data governance, Business intelligence, Information systems security, Public health, Kinshasa, Multidimensional model, Encryption, Access control, Anonymization, Blockchain. Title: Secure Medical Data Governance Model Based on Business Intelligence for Public Health Decision Support in Kinshasa Author: MANZIA MANSANGA Eliane, NZINGA EALE Guelor, TABALA MBOMA Cyprienne International Journal of Novel Research in Interdisciplinary Studies ISSN 2394-9716 Vol. 13, Issue 5, September 2026 - October 2026 Page No: 15-25 Novelty Journals Website: www.noveltyjournals.com Published Date: 10-September-2026 DOI: https://doi.org/10.5281/zenodo.22689291 Paper Download Link (Source) https://www.noveltyjournals.com/upload/paper/Secure%20Medical%20Data%20Governance-10092026-6.pdf