Consolidation of health data to improve health data governance using the Multi-Source Data Analytics and Triangulation platform.

Abstract

Objective: This paper explores the implementation of the Multi-Source Data Analytics and Triangulation (MSDAT) platform as a solution to Nigeria's health data challenges. By consolidating data from various sources into a centralised platform, MSDAT aims to improve data accessibility, interoperability and quality.

Methods: The MSDAT platform was developed using a modular, cloud-based architecture comprising data integration and analytics layers. Secondary health data from multiple standard sources such as District Health Information Software 2, Nigeria Demographic and Health Survey, WHO. Data was visualised using interactive dashboards. All processes adhered to the Nigeria Data Protection Act 2023, with data security maintained through encryption, role-based access control and routine system audits.

Results: The development of the MSDAT has led to increased use of health data in high-level health stakeholders' meetings, supporting the shift towards making data-driven decisions. Additionally, the platform is enhancing health data integrity in Nigeria by ensuring the availability of quality data.

Discussion: However, the adoption of this centralised system has faced challenges, including resistance to change and data migration complexities. Efforts to ensure collaboration between healthcare providers, policymakers and technical experts will be essential to overcome these barriers and fully realise the potential of the MSDAT platform in enhancing healthcare delivery and improving health outcomes.

Conclusion: The MSDAT platform demonstrated the value of integrated health data systems in improving data quality, accessibility and use for decision-making. Consequently, strengthening Nigeria's capacity for evidence-based planning, equitable resource allocation and performance monitoring is advancing progress toward a more responsive and data-driven health system.