The Impact of Digital Health Technologies and Artificial Intelligence on the Enhancement of Preventive Healthcare Systems: A Comprehensive Review

Abstract

Background: The escalating costs of healthcare, exacerbated by the COVID-19 pandemic, have underscored the urgent need for innovative solutions within global health systems. The rise in chronic illnesses and an aging population necessitate enhanced preventive healthcare strategies that leverage technology.

Methods: This review synthesizes existing literature on the role of digital health technologies (DHTs) and artificial intelligence (AI) in preventive healthcare. It examines various modalities, including mobile health, telemedicine, and wearable devices, and their impact on disease management, patient engagement, and healthcare accessibility.

Results: Findings reveal that DHTs significantly improve preventive healthcare by enabling early detection and monitoring of chronic conditions. AI facilitates enhanced decision-making through advanced imaging techniques and predictive analytics, which can lead to more accurate diagnoses and personalized treatment plans. However, challenges such as data privacy concerns, the digital divide, and the need for robust regulatory frameworks remain critical issues to address.

Conclusion: The integration of technology in preventive healthcare offers promising avenues for improving patient outcomes and system efficiency. Nevertheless, addressing ethical considerations and ensuring equitable access to these technologies is essential for maximizing their benefits. Future research should focus on developing comprehensive strategies to overcome existing barriers, ensuring that technological advancements align with patient-centered care principles.