Digital Health Technologies in Preventive Medicine: Applications, Effectiveness, and Policy Implications

Abstract

Digital health technologies are increasingly reshaping preventive medicine by enabling continuous monitoring, personalized interventions, and large-scale data-driven decision-making. This review provides a comprehensive examination of the applications, effectiveness, and policy implications of digital health technologies within preventive medicine. It synthesizes current research on mobile health, wearable devices, artificial intelligence, and telehealth platforms, emphasizing their roles in early detection, behavioral modification, and risk prediction. The review adopts a narrative synthesis approach based on recent literature across major academic databases. It further evaluates empirical evidence on effectiveness, particularly in the prevention of chronic diseases and the promotion of healthy lifestyles. At the same time, it critically analyzes existing limitations, including disparities in access, issues of long-term engagement, data reliability concerns, and challenges in clinical validation. The study also explores policy implications related to regulation, equity, and the integration of digital health systems into existing healthcare infrastructures. The findings suggest that while digital health technologies offer substantial opportunities for improving preventive care, their long-term success depends on evidence-based implementation, ethical governance, and inclusive access strategies.

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