Literature review explores embedded systems' impact on healthcare efficiency and AI integration, suggesting future development directions.
With the global population aging and the increasing demand for health, fueled by the development and application of the Internet of Things, smart healthcare has become a trend in the medical industry, further promoting medical intelligence and data integration. This paper focuses on the application of embedded systems in the smart healthcare Internet of Things (IoT), exploring the current state, key technologies, challenges, and development directions through literature review and case analysis. Research has demonstrated that embedded systems significantly enhance healthcare efficiency and quality, optimise resource allocation, and foster healthcare innovation. Additionally, this paper suggests that in the future of smart healthcare, there is a need to strengthen technology research and development and explore new application models to accelerate smart healthcare growth. It also advocates promoting the unification of standards in the medical system nationwide. Furthermore, the paper emphasizes deepening the integration of AI with medical systems to enhance the security of patient medical data.
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Peifeng Liu (2025) studied this question.
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