SECURING AI-DRIVEN HEALTHCARE SYSTEMS IN CLIMATE-RESILIENT INFRASTRUCTURE: A FRAMEWORK FOR SUSTAINABLE PUBLIC HEALTH IN NIGERIA

Abstract

This study explores the intersection of artificial intelligence (AI), climate-resilient infrastructure, and cybersecurity within Nigeria's public healthcare system. It proposes an integrated policy framework to ensure sustainable health outcomes amid technological and environmental challenges. As Nigeria adopts AI to enhance diagnostics, disease surveillance, and healthcare delivery, it also faces mounting cybersecurity threats. These threats are compounded by infrastructural vulnerabilities, particularly in climate-sensitive regions. Employing a qualitative research design and an interdisciplinary analysis of health systems, digital risks, and climate adaptation strategies, the study identifies critical policy and implementation gaps that expose AI-driven health technologies to cyberattacks and operational failures during climate-induced disruptions. It advocates for a unified cybersecurity policy that aligns digital health innovation with resilient infrastructure planning, ethical AI use, and robust regulatory oversight. The study concludes by asserting that securing Nigeria's AI-enabled healthcare system requires urgent, coordinated action across sectors to safeguard data integrity, ensure service continuity, and protect the most vulnerable populations in an increasingly digital and climate-volatile era.