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外科研究与新技术（中英文）

外科研究与新技术 ›› 2023, Vol. 12 ›› Issue (2): 141-145.doi: 10.3969/j.issn.2095-378X.2023.02.016

• 医疗器械园地 • 上一篇    下一篇

基于5G物联网模式下类新冠核酸高危标本追溯管理平台的构建与应用

唐云, 顾思聪   

  1. 上海市静安区中心医院设备科, 上海 200040
  • 收稿日期:2023-03-21 发布日期:2023-09-08
  • 通讯作者: 顾思聪,电子信箱：15021712123@163.com
  • 作者简介:唐 云（1983—）,男,大学本科,工程师,从事医疗器械技术保障及质量控制工作
  • 基金资助:
    2021年静安区医学科研课题面上项目（2021MS01）

Construction and application of traceability management platform for high-risk COVID-19-like specimens based on 5G Internet of Things mode

TANG Yun, GU Sicong   

  1. Department of Equipment, Shanghai Jing’an District Central Hospital,Shanghai 200040, China
  • Received:2023-03-21 Published:2023-09-08

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摘要： 目的 基于5G物联网模式构建高危标本追溯管理平台,探讨其在类新冠核酸标本检测管理中的应用价值。方法 选取医院接收的新冠核酸检测标本,按照样本采集时间顺序将2020年11月—2021年4月的500例标本纳入对照组,2021年5月—2021年10月的500例标本纳入观察组,分别采用传统追踪管理模式和物联网追踪管理模式。其中,观察组围绕标本采集、包装、转运、检验、保存、废弃6个环节,搭建标本、人员、设备、环境多维信息采集的5G追溯管理平台,通过LIS系统进行数据管理和浏览查询。结果 观察组标本采集、包装、转运、检验、保存、废弃环节的追溯率高于对照组,差异有统计学意义（P<0.05）;观察组标本的报告时效优于对照组;超温发生率、RNA降解率低于对照组,组间差异有统计学意义（P<0.05）,漏检比例低于对照组,组间差异无统计学意义（P>0.05）。结论 建立了基于5G物联网模式下类新冠核酸高危标本追溯管理体系,通过物联网追溯管理模式提高了类新冠核酸高危标本检测数据采集的及时性,优化了标本全生命周期检测的全流程,降低了标本检测的生物安全风险,在提高医院管理水平和诊疗能力方面具有重要的应用价值。

关键词: 物联网, 标本采集, 核酸检测, 追溯管理, 生物安全

Abstract: Objective To construct a high-risk specimen traceability management platform based on 5G Internet of Things mode, and to explore its application value in the detection and management of COVID-19-like specimens. Methods A total of 500 samples from November 2020 to April 2020 were included in the control group, and 500 samples from May 2021 to October 2021 were included in the observation group. Traditional tracking management mode and Internet of Things tracking management mode were adopted respectively. Among them, the observation group built a 5G traceability management platform for multidimensional information collection of specimens, personnel, equipment, and environment around the six links of specimen collection, packaging, transport, testing, preservation, and abandonment, and carried out data management and browsing query through the LIS system. Results The traceability rates of collection, packaging, transport, testing, preservation, and abandonment of specimens in the observation group were higher than those in the control group, and the differences were statistically significant （P<0.05）; The report time of the observation group was shorter than that of the control group. The rates of overtemperature and RNA degradation in the observation group were lower than those in the control group, and the differences between the two groups were statistically significant （P<0.05）; the proportion of missed detection was lower than that of the control group, and there was no significant difference （P>0.05））. Conclusion A traceability management system for high-risk COVID-19-like specimens has been established based on 5G Internet of Things mode, which has improved the timeliness of data collection for detection of high-risk COVID-19-like specimens, optimized the whole process of detection of the full life cycle of specimens, and reduced the biosecurity risks of specimen detection. It has important application value in improving hospital management level and diagnosis and treatment ability.

Key words: Internet of things, Specimen collection, Nucleic acid testing, Traceability management, Biosafety

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