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Background: Digital transformation has become essential for strengthening health systems in low- and middle-income countries (LMICs), which often experience workforce shortages, fragmented governance, inadequate infrastructure, and ongoing health inequities. Advances in artificial intelligence (AI), big data analytics, interoperability frameworks, precision medicine (PM), and connected health technologies present opportunities to improve access, quality, efficiency, and resilience within these systems. However, the implementation of these technologies remains inconsistent due to structural, regulatory, financial, and capacity-related barriers. This narrative review synthesizes current evidence on digital health transformation in LMICs, focusing on emerging technologies, system-level challenges, and future directions. Methods: A narrative literature review of peer-reviewed articles and grey literature published between 2015 and 2025 was conducted to examine digital health initiatives across health system functions. Results: LMICs have significant opportunities to utilize digital health to drive transformative reforms in their health systems. However, they face challenges stemming from a persistent “triple divide” that includes gaps in infrastructure, limitations in digital literacy, and disparities in data access. Additional barriers to progress include fragmented, non-interoperable systems; weak regulatory frameworks; deficiencies in data governance; infrastructure limitations; workforce shortages; algorithmic bias; and unequal access to resources. Promising solutions highlight the importance of developing interoperable digital public infrastructure (DPI), utilizing AI-enabled data harmonization, implementing federated learning, adapting governance models, and designing people-centered systems. Conclusions: Digital health has the potential to significantly enhance the resilience, equity, and sustainability of health systems in LMICs. This transformation can be achieved through coordinated national strategies, strong governance, inclusive and interoperable digital architectures, and consistent investment in workforce and institutional capacity. Future initiatives should prioritize ethical, context-sensitive AI, interoperability, and locally driven innovation to ensure lasting improvements in population health.
Farzana Yasmin (Wed,) studied this question.