摘要
随着医疗技术的进步,医疗器械检验检测设备的管理至关重要。本研究聚焦于人工智能(AI)在该领域的应用探索,剖析传统管理模式弊端。其中主要问题如人工记录数据易错、故障响应较为滞后、维护成本等严重制约了医疗服务的高效开展。引入AI技术后,情况得到了显著改善。通过智能传感器,能够实时采集设备的运行参数。再利用机器学习算法进行深度分析,进而构建故障预测模型。这种模式实现了从被动维修向主动预防的转变大幅减少了设备的停机时间。在库存管理方面,AI系统会依据设备的故障概率、维修周期等多方面因素,动态地调整配件库存。这样一来,既能确保配件的及时供应,又能合理资金的占用,避免了库存积压或缺货等问题。在质量管控环节,借助AI辅助的图像识别技术,能够助力精密器械的检测工作。该技术可以精准地识别出器械上的细微瑕疵,从而有力地保障了设备的质量。所述基于AI的管理模式全方位优化了医疗器械检验检测设备的运维流程。不仅提升了设备的可靠性和精准性,还为医疗事业注入了智慧动能,有力地推动了现代医疗迈向精准、高效、可持续发展的新阶段。
With the advancement of medical technology,the management of medical device inspection and testing equipment is crucial.This study focuses on exploring the application of artificial intelligence(AI)in this field and analyzing the drawbacks of traditional management models.The main problems,such as manual data recording being prone to errors,delayed fault response,and maintenance costs,severely restrict the efficient development of medical services.After the introduction of AI technology,the situation has been significantly improved.Through intelligent sensors,real-time collection of device operating parameters can be achieved.Reuse machine learning algorithms for deep analysis,and then construct a fault prediction model.This mode significantly reduces equipment downtime by transitioning from passive maintenance to active prevention.In terms of inventory management,AI systems will dynamically adjust parts inventory based on various factors such as equipment failure probability and maintenance cycle.In this way,it can ensure timely supply of accessories and reasonable use of funds,avoiding problems such as inventory backlog or shortage.In the quality control process,the use of AI assisted image recognition technology can assist in the detection of precision instruments.This technology can accurately identify subtle defects on instruments,thereby effectively ensuring the quality of the equipment.The AI based management model comprehensively optimizes the operation and maintenance process of medical device inspection and testing equipment.Not only has it improved the reliability and accuracy of the equipment,but it has also injected intelligent momentum into the medical industry,effectively promoting modern healthcare towards a new stage of precision,efficiency,and sustainable development.
作者
刘永鹏
杨晓辉
刘亚美
姚淑芳
李霄
康华
LIU Yong-peng;YANG Xiao-hui;LIU Ya-mei;YAO Shu-fang;LI Xiao;KANG Hua(Gansu Medical Device Inspection and Testing Institute,Gansu Lanzhou 730000)
出处
《中国医疗器械信息》
2025年第9期31-34,共4页
China Medical Device Information
关键词
医疗器械
人工智能
检验检测
管理
medical equipment
AI
inspection and testing
manage
