Research on the Industry Part-Time Instructor Driven Talent Cultivation Model for Medical Information Management

Abstract

Abstract: Against the backdrop of deep integration between healthcare informatization and artificial intelligence, this study explores innovative approaches for cultivating talent in medical information management driven by industry part-time instructors, in accordance with the Administrative Measures for Industry Part-time Instructors in Undergraduate Institutions. Through reconstructing curriculum systems, deepening university-industry collaboration, integrating AI technological resources, and optimizing faculty structures, a tripartite cultivation framework centered on “industry-education integration - technology empowerment - collaborative education” is established. This research aims to provide theoretical foundations and practical references for high-quality talent development in medical information management.

Key words: Industry part-time instructors, Medical information management, Talent cultivation, Industry-education integration, Artificial intelligence, Medical informatization

CLC Number:

G642

CHEN Bin, YOU Qianghua. Research on the Industry Part-Time Instructor Driven Talent Cultivation Model for Medical Information Management[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(7): 68-70.

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