目的 探讨品管圈活动在提高神经外科卧床患者便秘预防措施落实率中的的应用效果。方法 成立品管圈,确定以“提高神经外科卧床患者便秘预防措施落实率”为主题,进行现状调查,设定目标,进行要因分析,制定并实施措施,比较品管圈活动前后护士落实便秘预防措施情况。结果 实施品管圈活动后,神经外科卧床患者便秘预防措施落实率从活动前的41.59%上升至活动后85.6%,差异有统计学意义(P＜0.05)。结论 品管圈活动可以有效提高神经外科卧床患者便秘预防措施落实率,降低便秘的发生率,减轻患者痛苦,改善患者生活质量。
目的 探讨护理质量持续改进对康复医学科护理质量管理的影响。方法 制定康复医学科护理管理标准,比较改进前后护理专业基本技能评分和护患关系情况评分。结果 经过持续质量改进,康复医学科的护理质量显著提高。基础护理、护理文书和消毒隔离的评分显著提高,与改进前相比较,两组间的差异有统计学意义。护患关系融洽度和患者满意率提高,与改进前相比较,两组间差异有统计学意义;护理纠纷发生率降低,两组间差异有统计学意义。结论 在康复医学科护理管理中引进持续质量改进,可有效地提高护理质量,确保护理安全。
目的 探讨基于品管圈活动构建健康体检重要异常结果的追踪管理模式对提高电话随访率的影响。方法 选取2022年5月—2023年4月在中山大学孙逸仙纪念医院健康管理中心体检重要异常结果的328例受检者作为研究对象。成立品管圈活动小组,实施追踪管理模式。干预后时间段为2022年11月—2023年4月,期间针对不同样本分别实施了干预措施一至四及全面实施措施,分析随访1个月后成功随访人数。比较干预前后圈员综合能力变化及患者对健康管理中心的满意度。结果 电话随访率在干预措施一实施后为85.02%,干预措施二实施后为88.59%,干预措施三实施后为90.23%,干预措施四实施后为95.27%,全面实施干预措施一至干预措施四后为95.80%,均较干预措施实施前电话随访率（75.91%）有所增长;干预成功随访人数中,复诊率为84.34%（210/249）,全面实施措施后成功随访人数中复诊率为94.74%（216/228）。相较于干预前,干预后,圈员解决问题能力、责任心、沟通协调、团队凝聚力、积极性、品管手法、自信心、和谐感分值均升高（P<0.05）。干预前患者满意度为85.37%,干预后患者满意度为87.80%,干预后满意度有所升高,差异具有统计学意义（P<0.05）。结论 通过开展品管圈活动,使重要异常结果电话随访率明显提高,有利于提升体检机构的服务质量和服务能力,有利于疾病的早发现、早干预。
Objective Exploring the impact of establishing a tracking and management model for important abnormal results of health check ups based on quality control circle activities on improving telephone follow-up rates. Methods A total of 328 subjects with important abnormal results in Health Management Center of Sun Yat-sen Memorial Hospital of Sun Yat sen University from May 2022 to April 2023 were selected. The quality control circle activity group was set and the tracking management mode was carried out. The post intervention period was from November 2022 to April 2023, during which intervention measures 1-4 and comprehensive implementation measures were implemented for different samples. The number of successful follow-up after 1 month of follow-up was analyzed. Changes in the comprehensive ability of the circle staff before and after the intervention and the patients’ satisfaction with the health management center were compared. Results The telephone follow-up rate after intervention 1 was 85. 02%, 88. 59% after intervention 2,90. 23% after intervention 3,95. 27% after intervention 4 and 95. 80% after all intervention,which was higher than 75. 91% before intervention implementation. Among the single intervention individuals, the re-visit rate was 84. 34%（210/249）, and after the comprehensive implementation of measures, the re-visit rate among the successfully intervened individuals was 94. 74%（216/228）. After the intervention,the problem solving ability,responsibility, communication and coordination,team cohesion, enthusiasm,quality control techniques,self-confidence,and sense of harmony all significantly increased（P<0. 05）. The patient satisfaction rate before intervention was 85. 37%, and after intervention it was 87. 80%. The satisfaction rate increased after intervention, and the difference was statistically significant（P<0. 05）. Conclusions Through the quality control circle activities, the telephone follow-up rate of important abnormal results is significantly improved,which is conducive to improving the service quality and service capacity of physical examination institutions,is conducive to the early detection and early intervention of diseases.
传统的结肠镜检查质量评估方式具有主观性强、费时费力等缺点。近年来，人工智能（AI）技术在结肠镜检查质量控制方面展现出客观性、即时性、全面性等优势，具有广阔的应用前景。文章全面探讨了AI在结肠镜检查质量控制中的多个应用场景，包括评估肠道准备质量、记录退镜时间、息肉识别和分类、预测早期结直肠癌浸润深度等方面，并通过具体的研究案例和数据分析了AI技术的有效性和优势。AI技术有望在提升结肠镜检查质量、促进结直肠癌的早诊早治方面发挥更加重要的作用，但面对技术、伦理及法规等多方面的挑战，未来需要持续努力，不断优化算法，加强跨学科合作，推动AI技术在医疗领域的健康、快速发展。
Traditional colonoscopy quality assessment methods have strong subjectivity and are time-consuming．In recent years，artificial intelligence technology has shown objectivity，timeliness，and comprehensiveness in colonoscopy quality control，with broad application prospects．This article comprehensively explores multiple application scenarios of AI in colonoscopy quality control，encompassing assessments of bowel preparation quality，recording of withdrawal times，polyp identification and classification，and prediction of early colorectal cancer invasion depth．Through specific research cases and data analysis，the effectiveness and advantages of AI technology are elucidated．AI technology is expected to play an increasingly significant role in enhancing the quality of colonoscopy and promoting early diagnosis and treatment of colorectal cancer．However，facing challenges from technology，ethics，regulations，and other aspects，continued efforts are needed in the future to continuously optimize algorithms，strengthen interdisciplinary collaboration，and promote the healthy and rapid development of AI technology in the medical field．
