Jobiba Chinkhumba
Abstract
Low-income countries including Malawi face persistent challenges in health service delivery primarily due to a critical shortage of human resources for health (HRH). Artificial intelligence (AI) technologies are gaining traction as tools to support diagnosis, treatment monitoring, and health systems efficiency. In this paper, we discuss the potential role of AI in supporting health workers through task-shifting strategies and explore circumstances under which AI-led diagnosis and monitoring could substitute for human providers in a safe, ethical, cost-effective, and affordable manner. We highlight opportunities in areas with large service delivery constraints such as radiology, pathology, prevalence, and chronic disease monitoring. We discuss the use of discrete choice experiments (DCEs) to investigate preferences of patients, providers, and policymakers on AI integration into healthcare. Finally, we outline policy implications for Malawi. While AI is not a panacea, we argue that it could be an important adjunct to the health workforce if strategically deployed, regulated, and aligned with health system priorities.