A Systematic Review of the Integration of Information Science, Artificial Intelligence, and Medical Engineering in Healthcare: Current Trends and Future Directions

Abstract

In the quest to enhance patient care and transform healthcare delivery, the integration of information science, artificial intelligence (AI), and medical engineering emerges as a beacon of hope. This article explores current trends and future directions in this dynamic field, shedding light on its promises and challenges. The systematic review conducted herein analyzed 6381 articles from reputable databases such as Web of Science, Scopus, Embase, and PubMed, filtered and focusing on 65 articles published from 2014 to 2024. At the forefront of current trends lies the concept of data-driven healthcare, where vast amounts of data are leveraged to drive decision-making processes. AI-powered diagnostics and personalized medicine are also gaining traction, showcasing the potential to revolutionize diagnosis, treatment, and disease prevention strategies. However, alongside these promises come significant challenges. Data privacy and security concerns, interoperability issues, ethical considerations, and regulatory complexities loom large. Overcoming these hurdles necessitates collaborative efforts from healthcare providers, technology developers, policymakers, and other stakeholders to ensure the responsible and ethical use of AI-driven healthcare technologies. Our findings suggest that integrating these technologies offers a promising pathway toward personalized, proactive, and effective healthcare, potentially improving patient outcomes and quality of life. This review underscores the need for robust regulatory frameworks and interdisciplinary collaboration to realize the benefits of these advanced technologies in healthcare fully.

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