TY - JOUR T1 - Cleaning Quality Control Management of Medical Equipment in Hospital Disinfection Supply Room Based on Smart Medicine. AU - Wu,Meixia, AU - Wang,Qing, AU - Cheng,Zhuolin, Y1 - 2022/08/05/ PY - 2022/04/13/received PY - 2022/05/09/revised PY - 2022/06/14/accepted PY - 2022/8/29/entrez PY - 2022/8/30/pubmed PY - 2022/8/31/medline SP - 4380735 EP - 4380735 JF - Computational intelligence and neuroscience JO - Comput Intell Neurosci VL - 2022 N2 - With the continuous improvement of medical level, the demand for medical devices increases year by year, and it is necessary to track the quality and safety of medical devices. Establishing the cleaning quality control management of medical devices can not only reduce medical accidents and inhibit the spread of counterfeit or substandard medical devices but also help enterprises find the source of problems, determine the flow of the same batch of products, and warn relevant enterprises to take measures after the occurrence of problem products, and ultimately ensure the rights and interests of consumers. This study aims to study the cleaning quality control management of medical equipment in the hospital disinfection supply room based on smart medical care and proposes related concepts of smart medical care, as well as related theories of Internet of Things technology and medical equipment tracking system and related concepts of medical equipment cleaning. In this study, by comparing the cleaning compliance rates of the two groups of medical devices through smart medical care, it can be seen that 100% of the research group applying program-based management is significantly higher than 76.6% of the conventional management path. There was statistical significance in the data comparison between groups (P < 0.05). Therefore, programmatic management is more targeted than conventional management paths. SN - 1687-5273 UR - https://www.unboundmedicine.com/medline/citation/36035836 DB - PRIME DP - Unbound Medicine ER -