Toward equitable digital health: an integrated framework addressing exclusion, ethics, and implementation across healthcare systems

BACKGROUND: Digital health technologies are fundamentally reshaping healthcare delivery, access, and governance worldwide. While these innovations offer unprecedented opportunities to extend services, particularly in resource-constrained settings, early implementation experiences from large-scale platforms such as India's Co-WIN vaccination system and the Ayushman Bharat Digital Mission (ABDM) reveal that poorly designed digitalization can entrench or even widen existing health inequities. Despite growing recognition of these challenges, there remains an urgent need for a coherent analytical framework to understand how patterns of digital exclusion, ethical challenges, and implementation barriers interact to shape digital health outcomes across diverse healthcare systems. OBJECTIVES: This narrative review aims to: (1) synthesize current evidence on patterns and mechanisms of digital health exclusion across socioeconomic, geographic, and demographic dimensions; (2) identify key ethical and governance challenges, including informed consent, data protection, algorithmic fairness, and cybersecurity, in contemporary digital health implementations; (3) analyze implementation experiences from India and comparable low- and middle-income country (LMIC) settings; and (4) propose an integrated equity framework to guide more inclusive digital health strategies that can inform policy, practice, and future research. METHODS: We undertook a narrative review of peer-reviewed literature, policy documents, and grey literature published between 2015 and 2025 to examine digital health equity, ethical governance, and implementation challenges. Relevant sources were identified through iterative, purposive searches of PubMed/MEDLINE, Scopus, Web of Science, and the WHO Global Health Library, supplemented by targeted grey literature retrieval. These searches identified 312 records; following deduplication and eligibility screening, 22 peer-reviewed and policy sources were included in the synthesis. No AI-assisted screening tools were employed. Literature addressing patterns of digital exclusion, ethical or legal considerations, and real-world implementation experiences in clinical or public health settings was conceptually and thematically synthesized to identify recurrent themes, interconnections, and critical gaps in current digital health practice. RESULTS: Analysis revealed that digital health interventions frequently mirror and amplify offline health inequities. Structural barriers related to income, gender, geography, disability, age, and digital literacy shape who owns devices, controls personal health data, and can meaningfully engage with digital health tools. Ethical challenges, including inadequate consent pathways, fragmented data protection regimes, persistent algorithmic bias, and escalating cybersecurity risks, remain pervasive across many national programs. Implementation experiences from India and similar contexts highlight fragmented governance structures, uneven state-level adoption, limited provider capacity, and significant risks associated with "digital-by-default" service delivery models that marginalize non-digital access options. Three critical implementation gaps emerged: (1) insufficient participatory design processes, (2) weak equity monitoring systems, and (3) limited accountability mechanisms for addressing exclusion or harm. CONCLUSIONS: Digital health will not inherently advance health equity; rather, equity must be intentionally designed, systematically governed, and continuously monitored throughout the implementation lifecycle. We propose an integrated Digital Health Equity Framework that explicitly links patterns of exclusion with ethical safeguards and implementation strategies. Core components include: participatory co-design with marginalized communities, privacy-by-design and safety-by-design architectures, multi-channel service delivery that preserves non-digital pathways, routine disaggregated equity monitoring, and transparent algorithmic governance with redress mechanisms. Application of this framework can help policymakers, health system leaders, and technology developers ensure that national digital health programs, in India and globally, close rather than widen equity gaps, ultimately advancing universal health coverage through inclusive digital transformation.