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2023年7月 第38卷 第7期11
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探讨DeepSeek在护理工作中的应用场景及面临的挑战和应对策略

DeepSeek in nursing practice:Exploring applications,challenges and mitigation strategies for domestic AI integration

来源期刊: 广州医药 | 591-598 发布时间:2025-06-17 收稿时间:2025/11/13 18:53:30 阅读量:157
作者:
关键词:
通用人工智能DeepSeek临床护理
artificial general intelligenceDeepSeekclinical nursing
DOI:
10.20223/j.cnki.1000-8535.2025.05.003
收稿时间:
2025-03-02 
修订日期:
 
接收日期:
 
引用总数:
2  
目的本文聚焦DeepSeek这一国产人工智能技术,结合护理临床实践,系统探讨其在护理场景中的应用潜力、现存问题及应对策略。方法检索国内外相关文献,与现有通用人工智能技术对比,进行综述,并提出思考和建议。结果预计DeepSeek在护理文书自动化、个性化护理方案生成、临床决策支持、护理质控及教育培训等提供适配应用路径,针对性的服务和解决方案等。结论DeepSeek可通过多模态技术整合与跨平台互补策略,推动护理服务向智能化、精准化方向发展,为缓解护理人力短缺、优化资源分配提供新思路。
ObjectiveThis study focuses on DeepSeek,a domestic artificial intelligence technology,systematically exploring its application potential,existing issues,and targeted strategies in nursing clinical scenarios through integration with practical nursing care contexts.MethodsRelevant literatures from both domestic and international sources were collected,compared with existing Artificial General Intelligence(AGI)technologies,to conduct a review,and propose reflections and recommendations.ResultsThrough literature review and technical comparisons,the results proposed specific application paths for DeepSeek in scenarios such as automated nursing documentation,personalized care plan generation,clinical decision support,quality control,and education.It further addressed issues including data privacy,ethical risks,and technical limitations.ConclusionsThe findings suggest that DeepSeek can integrate multimodal technologies and cross-platform complementary strategies to promote intelligent and precise nursing services,offering innovative solutions to alleviate nursing shortages and optimize resource allocation.
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