The application of artificial intelligence technology in the “preventive treatment” health management of Department of Traditional Chinese Medicine Pediatrics presents both significant opportunities and challenges. This paper synthesizes policy documents and field investigations from hospitals, employing the PEST⁃SWOT model from external environmental factors (political, economic, social, and technological) as well as internal hospital factors (strengths, weaknesses, opportunities, and threats), to analyze driving factors for development of current artificial intelligence technology in “preventive treatment” health management of Department of Traditional Chinese Medicine Pediatrics, proposing several recommendations as follows: strengthening the standardization and normalization construction of Department of Traditional Chinese Medicine Pediatrics, developing artificial intelligence algorithms and models tailored to children's characteristics, enhancing the security protection of children's health data, and promoting the application of artificial intelligence technology in primary healthcare institutions. 

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