AI-Driven Innovation For A Sustainable Future: Transforming Healthcare
DOI:
https://doi.org/10.63278/mme.vi.1731Keywords:
Artificial Intelligence, Sustainable Healthcare, Diagnostic Innovation, Health System Efficiency, Environmental Impact, Digital Health Transformation.Abstract
The integration of Artificial Intelligence (AI) into healthcare is reshaping the delivery and sustainability of medical services worldwide. This study investigates the impact of AI-driven innovation on promoting a sustainable future in healthcare, focusing on its effects on diagnostic accuracy, operational efficiency, environmental performance, and patient satisfaction. Utilizing a mixed-methods approach, data were collected from five countries through structured surveys, expert interviews, and secondary databases. Statistical analyses—including regression models, independent t-tests, and MANOVA—revealed significant associations between AI adoption and improvements in healthcare efficiency, cost reduction, and carbon footprint mitigation. Visual data further illustrated rising trends in patient satisfaction and strategic allocation of AI functions, particularly in diagnostics, imaging, and monitoring. The findings affirm that AI, when ethically and inclusively implemented, can serve as a cornerstone for transforming healthcare into a more sustainable, equitable, and technologically advanced system. This study provides strategic insights for policymakers, healthcare institutions, and technology developers aiming to align digital health innovations with long-term sustainability goals.
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Copyright (c) 2025 Lingling Tan, Achal Singi, Alessa Cross
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