JMIR Publications

ABSTRACT

Digital health technologies are often promoted as means to expand access to care and reduce health disparities. Nevertheless, evidence from large-scale implementations indicates that access alone does not ensure equity. Although access initiates opportunities for care, assurance is required to sustain safety and fairness within digital health systems. Software-based and AI-enabled clinical systems may introduce new forms of exclusion, inequitable benefits, and unintended harm, as their performance varies across populations, clinical contexts, and temporal settings. The availability of a digital solution does not guarantee comparable usability or benefit across generations, due to differences in skills, trust, and access. Similarly, territorial disparities arise where internal and peripheral areas experience infrastructural discontinuities and uneven service provision, increasing the risk of amplifying pre-existing inequalities. Health equity in digital medicine should be conceptualized as a system-level property arising from governance, quality assurance, continuous clinical oversight, and the meaningful involvement of affected communities and patient organizations in governance, monitoring, and accountability processes, rather than as a downstream effect of adoption. Clinical and regulatory evidence shows that inequities often stem from lifecycle blind spots, subgroup performance asymmetries, and fragmented post-deployment accountability. An assurance-oriented approach, grounded in continuous validation, real-world monitoring, and predefined pathways for managing change, provides a clinically meaningful and systemically robust framework for achieving equity in digital medicine. In this context, freedom and verifiability in digital systems—defined as interoperability, open standards, independent audit capability, and, when proportionate to risk, technical inspectability and surveyability through open-source components or controlled disclosure—represent an essential ethical dimension. Effective and actionable policy levers, including mandatory subgroup monitoring, investment in governance infrastructure, and funding for adaptive oversight frameworks, can serve as effective mechanisms for decision-makers to ensure fair digital health outcomes.