Innovative Construction and Practice of "Hospital Information System" Curriculum for Internet of Things Engineering: A Perspective of AI Large Models Integration

Zheng Sun

doi:10.47297/wspciWSP2516-252744.20261002

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Innovative Construction and Practice of "Hospital Information System" Curriculum for Internet of Things Engineering: A Perspective of AI Large Models Integration

Volume 10, Issue 2

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Innovative Construction and Practice of "Hospital Information System" Curriculum for Internet of Things Engineering: A Perspective of AI Large Models Integration
Innovative Construction and Practice of "Hospital Information System" Curriculum for Internet of Things Engineering: A Perspective of AI Large Models Integration
Gannan Medical University, Ganzhou, Jiangxi, 341000, China
Vol. 10, Issue 2, Pages: 207-212(2026)
Published：30 April 2026
DOI：10.47297/wspciWSP2516-252744.20261002
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Zheng Sun.Innovative Construction and Practice of "Hospital Information System" Curriculum for Internet of Things Engineering: A Perspective of AI Large Models Integration[J].Creativity and Innovation,2026,10(02):207-212.
DOI：

Zheng Sun.Innovative Construction and Practice of "Hospital Information System" Curriculum for Internet of Things Engineering: A Perspective of AI Large Models Integration[J].Creativity and Innovation,2026,10(02):207-212. DOI： 10.47297/wspciWSP2516-252744.20261002.

摘要

Abstract

With the rapid evolution of artificial intelligence (AI)

particularly Large Language Models (LLMs)

the healthcare industry is undergoing a profound transformation toward "Smart Healthcare." This shift demands a new generation of Internet of Things (IoT) Engineering talents who possess both hardware connectivity expertise and AI-driven data processing capabilities. However

traditional "Hospital Information System" (HIS) courses often suffer from outdated content and a disconnect between theory and clinical practice. This paper proposes a comprehensive teaching reform framework that integrates AI Large Models into the HIS curriculum. By redesigning the course modules

constructing an AI-enhanced practice platform

and implementing a "Pre-class-In-class-Post-class" interactive teaching model

the reform aims to bridge the gap between academic education and industry requirements. Preliminary results and the proposed methodology provide a roadmap for cultivating high-quality compound talents in the field of Medical-Engineering Integration.

关键词

Keywords

references

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