Abstract
The rapid growth of eHealth technologies has transformed global healthcare delivery, enhancing patient care, access, and efficiency, particularly in underserved regions. This review synthesizes studies on AI-driven diagnostics and telemedicine, highlighting their potential impact on healthcare systems. Despite these advancements, challenges such as data privacy, ethical issues, and infrastructural barriers remain, along with global disparities in eHealth adoption. The review adopts a systematic approach, analyzing studies from regions like Tanzania, Poland, Spain, and Malaysia, offering a global perspective on digital health innovations. The systematic review analyzed AI-driven eHealth technologies by applying rigorous eligibility criteria, focusing on
study design, geographical diversity, technological innovations, and measurable outcomes. It selected peer-reviewed articles from 2024, emphasizing studies on diagnostics, IoT integrations, and mental health. The selection process included studies from both developed and developing regions, ensuring global perspectives. Data extraction and thematic analysis identified key themes
such as AI applications, global insights, challenges, opportunities, and ethical considerations, providing a comprehensive synthesis of AI’s transformative impact on healthcare delivery. Notably, it examines the integration of AI, IoT, and the intersection of eHealth with environmental sustainability. Findings show that AI improves diagnostic accuracy and patient outcomes, while IoT and edge computing enhance real-time data processing, especially in remote monitoring and telemedicine. Teleconsultations further contribute to sustainability by reducing travel. However, data privacy and ethical concerns highlight the need for strong regulatory frameworks. The review concludes that eHealth technologies hold transformative potential, but secure, ethical, and equitable implementation is crucial. Implications include enhanced healthcare access, efficiency, and environmental benefits. Limitations involve infrastructural disparities and data governance issues. Future research should focus on scalable, secure eHealth models and address ethical challenges surrounding AI to ensure sustainable, equitable healthcare development.
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Copyright (c) 2025 DR. JACK NG KOK WAH (Author)