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．
目的 比较广东云浮市进行药品专区执行国家药品集中采购(GPO)前后呼吸系统疾病患儿住院医疗费用,分析其住院医疗费用的影响因素。方法 选择云城区2019—2020年0~14岁城乡儿童呼吸系统疾病住院患儿,采用单因素和多元回归统计方法分析住院医疗费用的影响因素。结果 呼吸系统疾病儿童平均住院医疗费用国家集采前(4 872.38元)高于国家药品集采后(4 620.25元,P<0.05),药费分别占参保及参合患儿住院医疗费用的35.35%和27.39%,统筹支付费用参保与参合儿童分别占46.85%和57.59%。年龄、住院天数、转归、有无合并症、疾病分类、应用GPO药物、入院分类为呼吸系统疾病患儿住院医疗费用的共同影响因素,其中住院医疗费用随着患儿年龄增加、转归良好及应用GPO药物费用而减少,为负性联系;余住院天数、有无合并症、疾病分类、入院分类则与住院总费用有着正性联系。结论 提高患儿的转归,缩短平均住院日,做好药品专区及集中采购工作可降低儿童呼吸系统疾病的住院费用。
Objective To compare the inpatient medical expenses of children with respiratory diseases before and after the implementation of national group purchasing organization(GPO) in Yunfu City, Guangdong Province, and analyze the influencing factors of inpatient medical expenses. Methods The hospitalized children aged 0~14 with respiratory diseases from 2019 to 2020 in Yuncheng district implemented the GPO were selected. The influencing factors of hospitalization expense were analyzed by single factor and multiple regression statistical methods. Results The average hospitalization expense of children with respiratory diseases before the GPO implemented (4 872.38 yuan) was higher than after (4 620.25 yuan, P<0.05); the drug expense accounted for 35.35% and 27.39% of the hospitalization expense of the insured urban and rural children, and integrated payment accounted for 46.85% and 57.59%. Age, hospitalization days, outcome, comorbidities, disease classification, application of GPO drugs and admission classification were the common influencing factors of hospitalization expense of children with respiratory diseases. Hospitalization expense decreased with the increase of age, good outcome and application of GPO drugs, which was a negative correlation. And there was a positive relationship between the rest factors and the total cost of hospitalization. Conclusions To improve the outcome of children, shorten the average length of stay, doing a good job in drug zone and group procurement can reduce the hospitalization cost of children with respiratory diseases.
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．
