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。

     Objective  This 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．Methods  Relevant 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．Results  Through 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．Conclusions  The 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．

       目的   面向采血人群的“智慧服务”是智慧医院构建的重要内容，引进智能采血管理系统有助于采血“智慧服务”的实现。文章介绍了广州市属大型三甲医院应用智能采血管理系统的实践，并对于系统出现的问题进行整理及分析，以找出有效解决对策。方法   将采血系统出现故障后的解决对策改良前后分为对照组和观察组，记录采血过程中出现故障的原因及次数，采血故障解决对策改良后的数据为观察组。结果    观察组相较于对照组各项故障的发生率显著降低。结论   在智慧医院构建背景下引进智能采血系统可有助于实现采血“智慧服务”，但在实施过程中应做好新旧采血方式的衔接并落实问题收集和对策制定。

        Objective  Intelligent Service for blood collection crowd is an important content of intelligent hospital，the introduction of intelligent blood collection management system is conducive to the implementation of “Intelligent Service” blood collection．This paper introduces the application of  Intelligent Blood Collection Management System in Guangzhou first-class Hospital，collectis and analyses common systematic problems，to effectively find out the solutions．Materials and methods  The patients were divided into control group and observation group before and after the improvement of the countermeasures after the failure of the blood collection system，the reasons and times of the failure were recorded，and the data after the improvement of the countermeasures were taken as the observation group．Results  The incidence of various faults in the observation group was significantly lower than that in the control group．Conclusions  The introduction of intelligent  blood collection  system  under the background of the construction of smart hospital can help realize the “intelligent service” of blood collection，but in the implementation process，it is necessary to do a good job in the connection of old and new blood collection methods and implement the problem collection and countermeasures．