A management system for the execution of a respiratory endoscope decontamination procedure

By dynamically adjusting the disinfection parameters of the respiratory endoscope through the Internet of Things control system, the problems of static parameter setting and human intervention in the existing system are solved. This enables earlier identification of disinfectant degradation, ensures disinfection effect, and improves disinfection quality and data reliability.

CN122392875APending Publication Date: 2026-07-14南昌大学第一附属医院
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
南昌大学第一附属医院
Filing Date
2026-04-03
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing respiratory endoscope cleaning and disinfection systems cannot dynamically adjust cleaning and disinfection parameters based on patient disease type, cumulative decay status of disinfectant batches, and endoscope usage load. They lack real-time monitoring and anomaly identification capabilities for disinfectant concentration decay and are subject to data reliability issues due to human intervention, which affects cleaning and disinfection efficiency and nosocomial infection control.

Method used

The system employs an Internet of Things (IoT) control system, which includes a patient information acquisition module, a status tracking module, a dynamic generation module for disinfection parameters, a sensor acquisition module, and a step unlocking control module. This system enables dynamic and adaptive generation of disinfection parameters and incorporates a mechanism to determine the concentration decrease between batches and the historical average attenuation value. Combined with a sensor data-based anti-human intervention mechanism, the system ensures the accuracy and reliability of the parameter combination.

Benefits of technology

It enables dynamic adjustment of parameters based on actual disinfection conditions, early identification of abnormal disinfectant attenuation, ensuring that the disinfectant concentration is within the effective range, preventing human intervention, improving disinfection efficiency and data reliability, and enhancing the effectiveness of hospital infection control.

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Abstract

The present application relates to the technical field of medical instrument decontamination management, in particular to a respiratory endoscope decontamination process execution management system. The system comprises a patient information acquisition module, a state tracking module, a decontamination parameter dynamic generation module, a sensor acquisition module, a step unlocking control module and an execution record module. The system is based on an Internet of Things control system, takes disease category labels, disinfectant batch cumulative state data and the number of completed decontaminations for the endoscope on the day as inputs, dynamically generates parameter combinations, detects deviations between batch concentration decline amplitudes and historical decay averages, identifies disinfectant decay rate abnormalities and automatically increases the lower limit of soaking time, identifies situations where the effective concentration of disinfectant in the same batch is insufficient through a batch risk assessment mechanism, directly writes sensor data into a comparison queue and does not allow operators to modify the data, forcibly stops timing when disinfectant concentration is not up to standard, resets and restarts timing after recovery, and realizes interlocking control of all process steps.
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