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作 者:江华[1] 顾宇峰[2] 蔡霞[1] 舒红梅[3] 肖骁 JIANG Hua;GU Yu-feng;CAI Xia(Sterilization and Supply Center,Suining Central Hospital,Suining 629000,China)
机构地区:[1]遂宁市中心医院消毒供应中心,四川遂宁629000 [2]遂宁市中心医院信息科,四川遂宁629000 [3]遂宁市中心医院重症监护室,四川遂宁629000 [4]遂宁嘉慧妇女儿童医院护理部,四川遂宁629000
出 处:《中国医学装备》2020年第2期99-101,共3页China Medical Equipment
基 金:国家卫健委专项课题(17pj457)“消毒供应中心无菌物品自助发、还包系统研究”
摘 要:目的:研发基于人工智能的消毒供应中心灭菌质量管理系统,解决消毒供应中心灭菌监测资料的正确判读以及长期保存问题。方法:采用图像识别技术以及人工智能分析算法,实现消毒供应中心从传统的灭菌监测资料肉眼判读升级到计算机自动识别,从灭菌后监测资料的物理信息保存升级至数字图像资料信息进行保存。结果:采用计算机自动识别技术后极大提升了灭菌监测资料判读的准确性,延长了灭菌监测资料保存时间。结论:人工智能在消毒供应中心灭菌质量管理中的应用可有效提高判读灭菌后监测资料的准确性和可靠性,并可及时准确地将物理信息转化为数字信息,解决灭菌监测资料长时间保存的难题。Objective:To research and develop a sterilization quality management system of sterilization and supply center based on artificial intelligence(AI)so as to resolve the problem of correct interpretation and long-term preservation of sterilization monitoring data of sterilization and supply center.Methods:The image recognition technique and AI analysis algorithm were used to realize the upgrading of disinfection supply center from naked eye interpretation of traditional sterilization monitoring datato automatic recognition of computer,and to realize the upgrading from the physical information storage of monitoring data to the digital image information storage after sterilization.Results:The adopted computer automatic recognition technique greatly improved the accuracy of the interpretation of sterilization monitoring data,and prolonged the preservation time of sterilization monitoring data.Conclusion:The application of AI in sterilization quality management of sterilization and supply center can effectively improve the accuracy and reliability of the interpretation of monitoring data after sterilization,and it can timely and accurately convert physical information to digital information so as to solve the difficult problem that is how to longterm preserve sterilization monitoring data.
关 键 词:人工智能 消毒供应中心 灭菌质量管理 图像识别技术
分 类 号:R197.324[医药卫生—卫生事业管理]
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