目的 探讨医院药房外包代煎代送服务的质量管理。方法 成立中药代煎质量控制管理小组，研究给出完善质量控制体系的策略，涉及建立标准化操作流程、加强人员培训、优化信息化管理系统以及健全监督评估机制。结果 通过对中药库房的采购、入库验收、在库管理、调剂环节的审方、调剂、煎药质量管理以及物流、发药人员全流程管理，提高了患者的满意度，更多的患者选择了中药代煎服务。结论 实施有效的质量控制措施可提高代煎代送服务的质量，为医院药房提升服务质量给予理论依据与实践指导。
Objective To explore quality management of outsourced decoction preparation and delivery services in hospital pharmacies．Methods A quality control management team for traditional Chinese medicine（TCM）decoction preparation was established to develop strategies for improving the quality control system．These strategies involved establishing standardized operating procedures，strengthening personnel training，optimizing the information management system，and improving the supervision and evaluation mechanism．Results Through comprehensive process management，covering procurement，warehouse acceptance，inventory management，prescription review in the dispensing stage，dispensing itself，quality control of decoction preparation，logistics，and management of dispensing personnel，patient satisfaction was enhanced，leading more patients to opt for the TCM decoction service．Conclusions Implementing effective quality control measures can improve the quality of decoction preparation and delivery services，providing a theoretical basis and practical guidance for hospital pharmacies to enhance their service quality．
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．
目的 探讨医院消毒供应中心清洗全程质量控制用于院内感染风险预防价值。方法 选取2019年1月—2021年6月期间医院消毒供应中心待清洗消毒的1 000件手术器械（观察组）,采用全程质量控制;另选取1 000件手术器械（对照组）,常规流程清洗;比较2组患者器械清洗质量,统计清洗后因术中器械的院内感染率。结果 观察组清洗消毒后器械血渍、污垢、锈斑总发生率0.20%,低于对照组的1.50%,器械清洗、消毒、灭菌合格率高于对照组（P<0.05）。观察组器械操作流程与标准、科室管理、安全管理、综合质量管理高于对照组,院内感染率0.10%低于对照组的1.00%,医护人员满意度95.00%高于对照组的75.00%（P<0.05）。结论 医院消毒供应中心清洗质量控制,可增加手术器械清洗质量,减少院内感染的发生。
Objective To explore the value of whole process cleaning quality control in hospital disinfection supply center for risk prevention of hospital infection．Methods From January 2019 to June 2021,1000 surgical instruments to be cleaned and disinfected in the hospital disinfection supply center（observation group）were selected,and the whole process quality control was applied;another 1000 surgical instruments（control group）were selected for routine cleaning．The quality of instrument cleaning in the two groups was compared,and the hospital infection rate after the application of cleaned instrument was calculated．Results After cleaning and disinfecting instruments,the total incidence of blood stains,dirt and rust was 0.20% in the observation group,lower than that in the control group,which was 1.50%,and the qualified rate of instrument cleaning,disinfecting and sterilizing was higher than that in the control group（P<0.05）．The equipment operation procedures and standards,department management,safety management,and comprehensive quality management of the observation group were higher than those of the control group,the hospital infection rate was 0.10%,lower than that of the control group（1.00%）,and the satisfaction rate of medical staff was 95.00% in the observation group,higher than that of the control group（75.00%,P<0.05）．Conclusions The cleaning quality control of hospital disinfection supply center can improve the cleaning quality of surgical instruments and reduce the occurrence of hospital infection.
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．
