Medical equipment management plays a crucial role in enhancing the quality and efficiency of healthcare services. However, traditional management approaches are increasingly inadequate to meet the growing demands of modern healthcare. As intelligent operation and maintenance (O&M) models based on big data, the Internet of Things (IoT), and artificial intelligence (AI) technologies develop, it is imperative to explore their application in medical equipment management. This paper reviews the technical overview of intelligent O&M and discusses the algorithms and challenges of intelligent O&M models based on different technologies. It also proposes issues that need improvement in intelligent O&M models, aiming to provide valuable references for the future development of medical equipment management.
医疗设备管理在提升医疗服务质量和效率方面扮演着至关重要的角色。然而，传统的医疗设备管理方法已难以满足人民日益增长的医疗服务需求。随着基于大数据、物联网和人工智能技术的智能运维模型的发展，探讨智能运维模型在医疗设备管理中的应用是很有必要的。该文综述了智能运维模型的技术概要，探讨了基于不同技术的智能运维模型算法及其在应用中面临的挑战，并提出了智能运维模型未来需完善的问题，为医疗设备管理的未来发展提供了有益参考。.
Keywords: Internet of Things (IoT); big data; deep learning; intelligent operation and maintenance models; medical equipment management.