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

doi:10.20223/j.cnki.1000-8535.2025.05.003

广州医药 ›› 2025, Vol. 56 ›› Issue (5): 591-598.DOI: 10.20223/j.cnki.1000-8535.2025.05.003

• 专题：人工智能与医学 • 上一篇下一篇

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

黄慧瑛¹, 欧阳汉栋², 林胜钊³

1 华南理工大学附属第二医院(广州市第一人民医院)输血医学科,广州医科大学输血与血液病研究所,广东省精准输血技术工程中心(广东广州 510180)
2 中山大学附属肿瘤医院麻醉科,肿瘤医学协同创新中心,华南肿瘤学国家重点实验室(广东广州 510000)
3 重庆大学,超瞬态装置实验室(四川重庆 404100)

收稿日期:2025-03-02 出版日期:2025-05-20 发布日期:2025-06-17
基金资助:
广州市卫生健康科技项目西医类-一般引导项目（20231A011005）;广州市第一人民医院红棉计划项目（2023HL05）

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

HUANG Huiying¹, OUYANG Handong², LIN Shengzhao³

1 Guangzhou First People’s Hospital,South China University of Technology,Guangdong Engineering Research Center of Precise Transfusion,Institute of Blood Transfusion and Hematology,Guangzhou Medical University,Guangzhou 510180,China
2 Department of Anesthesiology,Sun Yat-sen University Cancer Center,State Key Laboratory of Oncology in South China,Guangdong Provincial Clinical Research Center for Cancer,Guangzhou 510000,China
3 Chongqing University Laboratory for Ultrafast Transient Facility,Chongqing 404100,China

Received:2025-03-02 Online:2025-05-20 Published:2025-06-17

摘要/Abstract

摘要： 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。

关键词: 通用人工智能, DeepSeek, 临床护理

Abstract: 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．

Key words: artificial general intelligence, DeepSeek, clinical nursing

黄慧瑛, 欧阳汉栋, 林胜钊. 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[J]. 广州医药, 2025, 56(5): 591-598.

HUANG Huiying, OUYANG Handong, LIN Shengzhao. DeepSeek in nursing practice：Exploring applications,challenges and mitigation strategies for domestic AI integration[J]. Guangzhou Medical Journal, 2025, 56(5): 591-598.

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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

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