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 研究术中麻醉深度监测在全麻下行下腹部手术患者苏醒质量和护理工作应用。方法 选取择期全麻下行下腹部手术患者120例(ASAⅠ~Ⅱ级),随机分成NT组和NNT组,NT组患者(60)术中用Narcotrend监测,NNT组患者(60)术中不用Narcotrend监测。记录术中丙泊酚用量;记录术后气管导管拔管时间和麻醉恢复室(postanesthesia care unit, PACU)留观时间;记录恢复室Ricker镇静—躁动评分;记录恶心呕吐及术后谵妄的发生率。结果 NT组患者术中麻醉药物丙泊酚的用量比NNT组明显减少(P<0.05);NT组患者术后的拔管时间与PACU留观时间比NNT明显缩短(P<0.05);NT组患者术后的Ricker 镇静-躁动评分比NNT明显降低(P<0.05);NT组患者与NNT组术后恶心呕吐及术后谵妄发生率无明显差别。NT组比NNT组降低了护理工作量(P<0.05)。结论 在麻醉深度监测仪Narcotrend下行下腹部手术,通过有效的麻醉深度监测,可以改善患者术后的苏醒质量,这些有利于减少PACU护理工作量,提高了护理质量,也有助于PACU护理规范化。
Objective To investigate the effect of anesthesia depth monitoring on the recovery quality and nursing quality of patients treated with lower abdominal surgery under general anesthesia. Methods A total of 120 patients who underwent the lower abdominal surgeries from June 2015 to December 2015 were randomly divided into 2 groups: non-Narcotrend monitoring group (non NT group) and Narcotrend monitoring group (NT group). And each group contains 60 cases. All patients were set in the same induce plan, and maintained by propofol-fentanyl during the operation. The dosage of propofol, the time of tracheal extubation, the PACU staying time, the Ricker sedation-agitation scale, the incidence of PONV and POD, the nursing quality and nursing working load were recorded in the project. Results Using Narcotrend to monitor the anesthesia depth could significantly decrease the dosage of propofol (P<0.05). The tracheal extubation time and the PACU staying time of patients in NT group were much shortened than patients in non NT group (P<0.05). In NT group the Ricker scores of patients were much lower than patients in non NT group (P<0.05). And the effective anesthesia depth monitoring using Narcotrend could significantly decrease the nursing working load and improve the nursing quality (P<0.05). Conclusion Effective anesthesia depth monitoring using Narcotrend may improve the recovery quality in the PACU, which may decrease the working load of nurses and improve the nursing quality in PACU.
目的 观察康复路径在髋关节置换术后的临床应用效果,探讨其临床应用价值 。方法 将广州市第一人民医院2014年10月—2015年10月收治行髋关节置换术患者100例为研究对象,随机分为对照组与观察组各50例。对照组采取常规围手术期护理,观察组按照康复路径护理,比较两组患者术后并发症、住院时间、费用、患肢功能以及日常生活自理能力。结果 观察组住院时间和住院费用均少于对照组(P<0.01);两组术后并发症发生率、患肢功能评分及日常生活自理能力比较,差异均有统计学意义(P<0.01 )。结论 康复计划护理用于髋关节置换术后效果显著,可明显降低患者术后并发症,缩短住院时间,降低住院费用,有利于促进患者术后功能以及自理能力的恢复。
Objective To observe the effect of clinical application of rehabilitation in the path of a hip replacement, and to explore its clinical application value. Methods October 2014 to October 2015 in Guangzhou First People's Hospitalhip arthroplasty cases werecollected of 100 patients as the research object, randomly divided into control group and observation group with 50 cases in each group. The control group adopted conventional perioperation period nursing care, observation group in accordance with the recovery paths. We compared two groups of patients complications, hospitalization time, expense, limb function and activities of daily living. Results In the observation group, the hospitalization time and cost of hospitalization were significantly less than that of the control group (P<0.01); The incidence of limb function score, ability of daily living and postoperative complications were compared between the two groups, the differences were statistically significant (P<0.01). Conclusion Rehabilitation nursing care plans for after hip replacement effect is significant. It can significantly reduce the postoperative complications, shorten the time of hospitalization, reduce hospitalization expenses, and is beneficial to the recovery of the function of promoting postoperative and self-care ability.
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．
