Digital Health Technologies in Low-Income Countries: Bridging Gaps in Personalized Preventive Care Through Telemedicine, Electronic Health Records, and AI-Driven Nursing Informatics

Abstract

This review examines the role of digital health technologies in enhancing personalized preventive care in low-income countries (LICs), where non-communicable diseases continue to rise amidst chronic limitations of healthcare infrastructure, workforce, and data system. It explores telemedicine, open-source electronic health records, AI-driven analytics, and nursing informatics within LIC settings, drawing on recent evidence from 2020–2025. Real-world implementations, such as offline-first platforms and portable health clinics, demonstrate feasibility and clinical impact. However, barriers such as algorithmic bias, fragmented systems, and digital illiteracy persist. The review proposes an integration framework addressing contextual relevance, interoperability, workforce development, and ethical governance. It concludes with actionable strategies to design equitable, sustainable digital solutions for under-resourced healthcare systems.

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