Medical equipment repairing system based on WeChat official platform and operation method thereof

Abstract

The invention discloses a medical equipment repairing system based on a WeChat official platform and an operation method thereof. The medical equipment repairing system includes a hospital user terminal, an engineer terminal, a communication platform, a QR-code generation client, a database, a seat customer service terminal, and a data processing server, wherein the communication platform is usedfor connecting the hospital user terminal, the engineer terminal, and the data processing server to enable the hospital user terminal, the engineer terminal, and the data processing server to communicate with each other; the QR-code generation client is used for encoding each equipment according to the hospital equipment information or automatically encoding the system, then generating an equipment QR-code according to the code while performing group coding on the group of equipment, and then generating the equipment group QR-code at the same time; the database is used for storing data; the seat customer service terminal is used by staff service, accesses staff service, can communicate with the data processing server to obtain the repair information, and can communicate with the hospital user terminal and the engineer terminal; and the data processing server is used for data management and communication management.

Description

technical field [0001] The invention relates to a repair system, in particular to a WeChat public platform-based medical device repair system and its operating method. Background technique [0002] The traditional medical equipment repair system is mainly carried out through 400 telephones or emails. Hospital users apply to the service center for repairs by dialing the 400 hotline or sending emails. There are many problems in this traditional repair method, which can no longer meet the actual business needs of medical institutions. The main shortcomings are as follows: [0003] 1. Poor service timeliness: it is difficult for hospital end users to obtain timely service response and maintenance service support; [0004] 2. Fault description is inaccurate: users can only describe medical equipment faults in the traditional form of text, and cannot clearly and accurately locate the problem; [0005] 3. Inconvenient data management for repair application: the relevant data gene...

AI Technical Summary

Problems solved by technology

There are many problems in this traditional repair method, which can no longer meet the actual business needs of medical institutions. The main shortcomings are as follows:

[0003] 1. Poor service timeliness: it is difficult for hospital end users to obtain timely service response and maintenance service support;

[0004] 2. Fault description is inaccurate: users can only describe medical equipment faults in the traditional form of text, and cannot clearly and accurately locate the problem;

[0005] 3. Inconvenient data management for repair application: the relevant data generated during the repair application process is fragmented, making it difficult to perform unified data management and maintenance;

[0006] 4. High communication cost: the communication cost between the maintenance personnel and the customer service personnel is high and the efficiency is low;

[0007] 5. Low-efficiency repetition: The problems and fault information submitted by the maintenance personnel are highly repetitive, but cannot be efficiently processed by the system, and can only be processed manually one by one

[0009] 1. Unable to perfectly solve the problem of falling off of the QR code or barcode of the repaired equipment: Due to the current process problems and usage scenarios, the QR code and barcode of the equipment have problems such as falling off and missing, and the current plan cannot propose a perfect solution for this scenario

[0010] 2. Equipment group repair is complicated and the experience is not good: hospital inspection departments often have multiple devices connected in parallel to form a device group. In the device group mode, if each device is equipped with a QR code, one will lead to a complicated repair process, and the other will not be able to Check the problems of the equipment group as a whole, which will have a negative impact on troubleshooting and solving equipment failures

[0011] 3. Hierarchical management and automatic processing of repair reports are not possible: Due to the differences in personnel flow, skills and experience of the laboratory staff of medical institutions, a considerable part of the problems are basic use problems or light-weight problems. The current plan cannot be used for repair reports. Hierarchical management and intelligent processing lead to high labor costs for the maintenance team

[0012] 4. Cannot effectively distinguish between basic faults and high-order faults: the current solution cannot build equipment maintenance portraits through attributes such as equipment parameters, repair history, maintenance parameters, etc., so that it is impossible to effectively distinguish between basic faults and high-order faults

[0013] 5. Unable to carry out active warning and reduce equipment downtime

The current solutions are passive early warning rather than active early warning, unable to collect equipment parameters, repair history, maintenance parameters, etc., and integrate IoT technology to collect, compare and alarm the operation status of equipment in real time, thereby reducing equipment downtime The frequency of downtime is shortened

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