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Research on Rapid Detection Technology for Quality Control of Emergency Ventilator / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation ; (6): 336-341, 2022.
Article in Chinese | WPRIM | ID: wpr-928916
ABSTRACT
OBJECTIVE@#In order to grasp the quality status of the first-aid ventilator in pre-hospital and field environment in time, the quality control and detection items of invasive ventilator were optimized to form a rapid detection operation process of first-aid ventilator and ensure the safety of patient treatment.@*METHODS@#Based on the quality control detection data of invasive ventilator in hospital in recent years, methods such as narrowing the range of qualified criteria and analyzing confidence interval were adopted to extract indicators prone to deviation and verify their correlation with similar indicators, so as to form an optimized rapid detection portfolio.@*RESULTS@#Compared with the original quality control detection procedures, the detection indicators of the rapid detection procedures were reduced from 5 categories of 24 indicators to 3 categories of 7 indicators. The detection time was shortened by 56.1% and the coincidence rate of the detection results was 100% after the actual measurement and verification.@*CONCLUSIONS@#Under the premise of ensuring the testing quality, the operating procedure for rapid detection of emergency ventilator can greatly reduce the detection time, and realize the rapid and high frequency quality control detection, so as to ensure the quality and safety of the equipment.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Quality Control / Ventilators, Mechanical / Home Care Services Type of study: Diagnostic study Limits: Humans Language: Chinese Journal: Chinese Journal of Medical Instrumentation Year: 2022 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Quality Control / Ventilators, Mechanical / Home Care Services Type of study: Diagnostic study Limits: Humans Language: Chinese Journal: Chinese Journal of Medical Instrumentation Year: 2022 Type: Article