AI技术赋能药学科普的人机协同模式的构建

The Human-Machine Synergy Model Construction for Pharmaceutical Science Popularization Empowered by AI Technology

摘要: 目的：探讨如何在人工智能时代构建人机协同的药学科普新模式，以提升科普内容的生产效率、传播广度与受众接受度，推动合理用药知识的普及。方法：系统分析传统药学科普模式的局限，结合AIGC技术在自然语言处理、多模态生成与个性化推送等方面的优势，提出“人工主导、AI辅助”的协同机制，同时结合典型案例进行验证，针对药师技能培训、AI“幻觉”修正及多级审核协调等核心问题，提出系统性应对策略。结果：人机协同模式不仅提升内容可读性、科学性与传播效率，而且强化人工主导与AI辅助的有机结合，展现出较其他模型更优的落地可行性与风险控制能力，实现科普创作从“单向输出”到“双向互动”的转变。结论：人机协同是药学科普发展的必然趋势，但需加强伦理审核与规范，构建高效、安全、可持续的药学科普新模式。

Abstract: Objective: To explore how to build a new human-machine collaborative pharmaceutical science popularization model in the era of artificial intelligence to improve the production efficiency, dissemination breadth and audience acceptance of science popularization content, and promote the popularization of rational drug use knowledge. Methods: Systematically analyze the limitations of the traditional pharmaceutical science popularization model, and combined with the advantages of AIGC technology in natural language processing, multi-modal generation and personalized push, propose a “human-led, AI-assisted” collaborative mechanism, and verify it with typical cases. A systematic response strategy was proposed for core issues such as pharmacist skill training, AI “illusion” correction and multi-level audit coordination. Results: The human-machine collaboration model not only improved the readability, scientificity and dissemination efficiency of the content, but also strengthened the organic combination of human leadership and AI assistance, demonstrated better implementation feasibility and risk control capabilities than other models, and realized the transformation of popular science creation from “one-way output” to “two-way interaction”. Conclusion: Human-machine collaboration is an inevitable trend in the development of pharmaceutical science popularization, but it is necessary to strengthen ethical review and standardization to build an efficient, safe, and sustainable new model of pharmaceutical science popularization.