This study aims to map the dynamics, intellectual structure, and direction of global transformation of Digital Health Technologies in Chronic Disease Management research, as well as identify the level of conceptual maturity and thematic gaps between 2016 and 2025. This study uses a bibliometric approach to 133 Scopus-indexed articles. Analysis was conducted using Bibliometrix (R-package) and VOSviewer to evaluate annual publication trends, country and author contributions, international collaboration networks, keyword co-occurrence, theme evolution analysis, and density visualization to identify knowledge consolidation and fragmentation. Results show exponential publication growth since 2022, peaking in 2025, marking the consolidation phase of digital health as a systemic infrastructure in chronic disease management. Network mapping identifies chronic disease as a bridging concept that integrates three key domains: clinical management, patient empowerment and self-management, and data-driven technological innovations such as telemedicine, remote monitoring, and artificial intelligence. Thematic evolution analysis demonstrates a shift from a behavior change paradigm toward a predictive, personalized, and digital ecosystem-based care model. The density map indicates the formation of a mature core knowledge domain, but also reveals fragmentation in the psychosocial dimension and minimal integration of chronic infectious diseases. Research production and collaborative networks remain concentrated in developed countries, with a clear center-periphery pattern. This study emphasizes the need to strengthen system interoperability, digital health literacy, the integration of behavioral and psychosocial determinants, and the expansion of research to developing country contexts and a broader spectrum of chronic diseases. These findings provide a strategic foundation for policymakers and researchers in promoting a more inclusive, sustainable, and ecosystem-based digital transformation in chronic disease management.
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Indrawan et al. (2026) studied this question.
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