Medical instrument detection system

Abstract

The invention relates to the technical field of medical instrument detection, and discloses a medical instrument detection system which comprises a data acquisition module and an intelligent evaluation module. According to the medical instrument detection system, specification data of all types of medical instruments, use records of the medical instruments in all departments and overhaul data of the medical instruments at all time points are obtained through a data acquisition module and are classified to form a data set, and an intelligent evaluation module analyzes the effective duration of each medical instrument and the remaining number of each department; the inventory management is efficient, the response speed is high, the intelligent evaluation module analyzes the stability of each medical device during treatment, comprehensively monitors current, voltage, magnetic field intensity and ray dose fluctuation conditions, timely finds out the fault problem during operation of the medical devices, analyzes the use quality of each medium-risk and high-risk medical device, and improves the safety of the medical devices. The product quality, the treatment stability and the loss degree of the medical instrument are judged, corresponding management suggestions are output, the service life of the instrument is comprehensively evaluated, and the medical quality is good.

Description

Technical Field

[0001] The present invention relates to the technical field of medical device detection, in particular to a medical device detection system. Background Art

[0002] Medical devices range from simple diagnostic and treatment instruments to complex electronic instruments and equipment. They play an important auxiliary role in medical diagnosis, treatment, monitoring and disease relief. Medical devices can be divided into low-risk medical devices, medium-risk medical devices and high-risk medical devices according to their risk level, purpose of use and technical content. Low-risk medical devices such as scalpels, tongue depressors, medical masks, etc., these devices have simple structures and low risks to the human body, and usually do not require strict regulatory approval processes. Medium-risk medical devices such as electrocardiographs, blood pressure monitors, thermometers, etc., these devices are directly related to the monitoring of patients' physiological parameters and need to pass certain quality certification. High-risk medical devices such as pacemakers, vascular stents, magnetic resonance imaging MRI equipment, etc., these products have a direct impact on human health, so they are subject to strict regulatory supervision and need to undergo clinical trials to verify their safety and effectiveness. In addition, in vitro diagnostic medical devices such as blood glucose meters, pregnancy test strips, various testing and analysis instruments, etc., help doctors quickly and accurately obtain information on patients' health status. Implantable medical devices such as artificial joints, dental implants, drug-eluting stents, etc., are devices that are implanted in the human body for a long time or permanently, and have extremely high requirements for material selection and biocompatibility.

[0003] At present, traditional medical device testing systems lack in-depth analysis capabilities and mainly rely on manpower to adjust the quota quantity of medical devices in each department, resulting in slow response speed, inefficient inventory management, and a lack of unified standards to evaluate the stability and degree of wear of different types of medical devices when providing treatment, making it difficult to accurately estimate the service life of the equipment. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a medical device testing system, which has the advantages of efficient inventory management, fast response speed, comprehensive assessment of device life and good medical quality, etc., which solves the problems of low inventory management efficiency and difficulty in accurately estimating the service life of devices in traditional medical device testing systems.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: a medical device detection system, comprising a data acquisition module and an intelligent evaluation module; The data acquisition module is composed of an instrument data unit, a usage data unit and a maintenance data unit. The instrument data unit collects an instrument data set through a network connection to a database, and the instrument data set includes specification data of all types of medical instruments. The usage data unit collects a usage data set through a network connection to a database, and the usage data set includes usage records of medical instruments in all departments. The maintenance data unit collects a maintenance data set through a network connection to a database, and the maintenance data set includes maintenance data of medical instruments at all time points. The data acquisition module transmits the instrument data set, usage data set and maintenance data set to the intelligent evaluation module through the network. The intelligent evaluation module is composed of an inventory management unit, a quality analysis unit and a detection management unit. The inventory management unit analyzes the effective time of each medical device and the remaining quantity of each department according to the device data set and the usage data set, generates a corresponding inventory data group kcsj, and transmits it to the detection management unit through the network. The quality analysis unit is provided with a fixed range of current threshold BA, voltage threshold BV, magnetic field threshold BH and radiation threshold BSV, and then combines the usage data set to analyze the stability of each medical device when providing treatment, generates a corresponding monitoring data group Jcsj, and transmits it to the detection management unit through the network. The detection management unit analyzes the usage quality of each medium-risk and high-risk medical device according to the maintenance data set, and generates a corresponding life span Smsc. The detection management unit is provided with a fixed range of time threshold SY, inventory threshold KY, medium-risk device life threshold ZSY and high-risk device life threshold GSY, and then combines the inventory data group kcsj, the monitoring data group Jcsj and the life span Smsc to judge the product quality, treatment stability and loss degree of the medical device, and output corresponding management suggestions.

[0006] Preferably, the expression of the instrument data set is , to They are the specification data of the first to nth medical devices, respectively. The specification data include purchase quantity, production identification and product identification. d represents the risk level of a single medical device.

[0007] Preferably, the expression using the data set is , to They are the usage records of medical devices from the first to the mth department, including the number of devices used, current value, voltage value, magnetic field strength value and radiation dose. s represents the daily outpatient volume of a single department.

[0008] Preferably, the expression of the maintenance data set is , to They are the maintenance data of the first to x-th medical devices, respectively. The maintenance data include the cause of failure and the number of parts replaced. t represents the maintenance time of a single medical device.

[0009] Preferably, the calculation process of the inventory data set kcsj is as follows: Extract the specification data of the i-th medical device in the device data set, and mark the purchase quantity of the i-th medical device as , mark the production identification of the i-th medical device as ; According to the usage data set, the total number of medical devices of type i used by each department is counted and marked as , to The total number of medical devices of the ith type used by the first to the mth departments respectively; In the formula, kcsj represents the inventory data group, represents the expiration date in the production identification of the i-th medical device, DQ represents the current time point, Indicates the difference between the expiration date and the current time point. represents the quota quantity of the i-th medical device in the k-th department, represents the total number of medical devices of type i used by the kth department, Indicates the difference between the quota quantity and the withdrawal quantity. It means calculating the difference between the quota quantity and the issued quantity of m departments at the same time.

[0010] Preferably, the calculation process of the monitoring data group Jcsj is as follows: Extract the first The use record of medical equipment in each department and The current value of medical equipment in each department is marked as , will The voltage values ​​of medical devices in each department are marked as , will The magnetic field strength values ​​of medical devices in each department are marked as , will The radiation dose of medical equipment in each department is marked as ; In the formula, Jcsj represents the monitoring data group, and represents the maximum and minimum values ​​of the current threshold BA, Indicates that the The current value of each department's medical device is compared with the current threshold BA. and Indicates the maximum and minimum values ​​in the voltage threshold BV, Indicates that the The voltage value of each department's medical device is compared with the voltage threshold BV. and represents the maximum and minimum values ​​in the magnetic field threshold BH, Indicates that the The magnetic field strength values ​​of medical devices in each department are compared with the magnetic field threshold BH. and Indicates the maximum and minimum values ​​in the ray threshold BSV, Indicates that the The radiation dose of medical devices in each department is compared with the radiation threshold BSV.

[0011] Preferably, the life span Smsc is calculated by the following formula: In the formula, Smsc represents the life span, ZBS represents the standard use time of a single medium-risk medical device, and α represents the conversion coefficient for the average frequency of use of medium-risk medical devices. Indicates The number of medium-risk medical devices used in each department, s represents the number of The daily outpatient volume of each department is It represents the ratio of the number of medium-risk medical devices used to the daily outpatient volume, that is, the per capita usage frequency of a single medium-risk medical device. It means converting the average frequency of use of medium-risk medical devices into the reduction of functional life span. ZBL means the total number of parts of a single medium-risk medical device. ZGH means the number of parts replacements of a single medium-risk medical device. represents the ratio of the number of parts replaced to the total number of parts for medium-risk medical devices, β represents the conversion coefficient for the ratio of the number of parts replaced to the total number of parts for medium-risk medical devices, It means converting the ratio of replacement quantity to total number of parts into the reduction of parts life. represents the standard use time minus the reduced functional life and parts life, to obtain the life of a single medium-risk medical device. GBS represents the standard use time of a single high-risk medical device. γ represents the conversion coefficient for the average frequency of use of high-risk medical devices. Indicates The number of high-risk medical devices used in each department, It represents the ratio of the number of high-risk medical devices used to the daily outpatient volume, that is, the per capita usage frequency of a single high-risk medical device. It means converting the average frequency of use of high-risk medical devices into the reduction of functional life span. GBL means the total number of parts of a single high-risk medical device. GGH means the number of parts replacements of a single high-risk medical device. It represents the ratio of the number of high-risk medical device parts replaced to the total number of parts. Represents the conversion factor for the ratio of the number of high-risk medical device parts replaced to the total number of parts. It means converting the ratio of replacement quantity to total number of parts into the reduction of parts life. It represents the life span of a single high-risk medical device obtained by deducting the reduced functional life span and the reduced parts life span from the standard use time.

[0012] Preferably, when the difference between the expiration date and the current time point in the inventory data group Kcsj is lower than the duration threshold SY, it indicates that the quality of the medical device product is unstable, and the staff is reminded to conduct quality inspection and re-purchase in time. When the difference between the quota quantity and the issued quantity in the inventory data group Kcsj is lower than the inventory threshold KY, it indicates that the medical device inventory is small, and the staff is advised to give priority to scheduling.

[0013] Preferably, when any value in the monitoring data group Jcsj exceeds a threshold range, it indicates that the stability of the medical device in providing treatment is poor, and a shutdown alarm is immediately output.

[0014] Preferably, when the life span Smsc of the medium-risk medical device is lower than the life span threshold ZSY of the medium-risk device, it indicates that the medium-risk medical device is seriously worn out, and the staff is reminded to replace the new device; when the life span Smsc of the high-risk medical device is lower than the life span threshold GSY of the high-risk device, it indicates that the high-risk medical device is seriously worn out, and the staff is reminded to replace the new device.

[0015] Compared with the prior art, the present invention provides a medical device detection system, which has the following beneficial effects: 1. The present invention connects the database through the data acquisition module network to obtain the specification data of all types of medical devices, the usage records of medical devices in all departments and the maintenance data of medical devices at all time points, and classifies them into device data sets, usage data sets and maintenance data sets. The intelligent evaluation module analyzes the effective duration of each medical device and the remaining quantity in each department based on the device data set and the usage data set, and generates the corresponding inventory data group Kcsj. While ensuring that the inventory devices are in the best quality state, it reduces excess inventory and avoids out-of-stock, effectively reduces storage costs and additional expenses for emergency purchases, and efficiently manages inventory with a fast response speed.

[0016] 2. The present invention sets a fixed range of current threshold BA, voltage threshold BV, magnetic field threshold BH and radiation threshold BSV through an intelligent evaluation module, and then combines the use data set to analyze the stability of each medical device when providing treatment, generate a corresponding monitoring data group Jcsj, comprehensively monitor the fluctuations in current, voltage, magnetic field strength and radiation dose, and promptly discover faults during the operation of medical devices. The intelligent evaluation module analyzes the use quality of each medium-risk and high-risk medical device and generates a corresponding life span Smsc. The intelligent evaluation module sets a fixed range of time threshold SY, inventory threshold KY, medium-risk device life threshold ZSY and high-risk device life threshold GSY, and then combines the inventory data group kcsj, the monitoring data group Jcsj and the life span Smsc to judge the product quality, treatment stability and loss degree of the medical device, and output corresponding management suggestions to comprehensively evaluate the device life and medical quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] As traditional medical device testing systems lack in-depth analysis capabilities and rely mainly on manpower to adjust the quota of medical devices in each department, it leads to slow response speed, low inventory management efficiency, and lack of unified standards to evaluate the stability and loss of different types of medical devices when providing treatment, making it difficult to accurately estimate the service life of the device. Therefore, a medical device testing system is provided. Please refer to Figure 1 , a medical device detection system, including a data acquisition module and an intelligent evaluation module; The data collection module consists of the equipment data unit, the usage data unit and the maintenance data unit. The equipment data unit collects the equipment data set through the network connection database. The equipment data set includes the specification data of all kinds of medical equipment. The expression of the equipment data set is , to They are the specification data of the first to nth medical devices, respectively. The specification data include the purchase quantity, production identification and product identification. The production identification is composed of codes of information related to the production process of the medical device, which may include the medical device serial number, production batch number, production date, expiration date, etc. The product identification is a unique code used to identify the registrant, medical device model specification and packaging. d represents the risk level of a single medical device. The specification data covers the entire life cycle of the medical device, including procurement, warehousing, issuance, maintenance and scrapping, etc., and improves the efficiency of inventory management through digital means; The usage data unit collects the usage data set through the network connection database. The usage data set includes the usage records of all medical devices in all departments. The expression of the usage data set is , to These are the usage records of medical devices from the first to the mth department, including the number of devices used, current value, voltage value, magnetic field strength value and radiation dose. s represents the daily outpatient volume of a single department. Comprehensive monitoring of the operating status of medical devices will help to quickly analyze the per capita usage frequency of different types of medical devices in each department, and can also detect safety problems in a timely manner to avoid damage to the health of medical staff and patients due to excessive magnetic fields or radiation. The maintenance data unit collects maintenance data sets through network connection to the database. The maintenance data sets include maintenance data of medical devices at all time points. The expression of the maintenance data set is: , to They are the maintenance data of the first to x-th medical devices, including the cause of failure and the number of parts replaced. t represents the maintenance time of a single medical device. The maintenance record is the key data for judging the quality of medical device products and is crucial for the control of subsequent medical quality. The data acquisition module transmits the equipment data set, the use data set and the maintenance data set to the intelligent evaluation module through the network; The intelligent evaluation module consists of an inventory management unit, a quality analysis unit, and a detection management unit. The inventory management unit analyzes the effective duration of each medical device and the remaining quantity of each department based on the device data set and the usage data set, generates the corresponding inventory data group Kcsj, and transmits it to the detection management unit through the network. The calculation process is as follows: Extract the specification data of the i-th medical device in the device data set, and mark the purchase quantity of the i-th medical device as , mark the production identification of the i-th medical device as ; According to the usage data set, the total number of medical devices of type i used by each department is counted and marked as , to The total number of medical devices of the ith type used by the first to the mth departments respectively; In the formula, kcsj represents the inventory data group, represents the expiration date in the production identification of the i-th medical device, Indicates the current time point. Indicates the difference between the expiration date and the current time point. represents the quota quantity of the i-th medical device in the k-th department, represents the total number of medical devices of type i used by the kth department, Indicates the difference between the quota quantity and the withdrawal quantity. It means calculating the difference between the quota quantity and the issued quantity of m departments at the same time, while ensuring that the inventory equipment is in the best quality state, reducing excess inventory and avoiding out-of-stock, effectively reducing storage costs and additional expenses for emergency purchases, and efficiently managing inventory with fast response speed; The quality analysis unit is set with a fixed range of current threshold BA, voltage threshold BV, magnetic field threshold BH and radiation threshold BSV. It is combined with the use data set to analyze the stability of each medical device when providing treatment, generate the corresponding monitoring data group Jcsj, and transmit it to the detection management unit through the network. The calculation process is as follows: Extract the first The use record of medical equipment in each department and The current value of medical equipment in each department is marked as , will The voltage values ​​of medical devices in each department are marked as , will The magnetic field strength values ​​of medical devices in each department are marked as , will The radiation dose of medical equipment in each department is marked as ; In the formula, Jcsj represents the monitoring data group, and represents the maximum and minimum values ​​of the current threshold BA, Indicates that the The current value of each department's medical device is compared with the current threshold BA. and Indicates the maximum and minimum values ​​in the voltage threshold BV, Indicates that the The voltage value of each department's medical device is compared with the voltage threshold BV. and represents the maximum and minimum values ​​in the magnetic field threshold BH, Indicates that the The magnetic field strength values ​​of medical devices in each department are compared with the magnetic field threshold BH. and Indicates the maximum and minimum values ​​in the ray threshold BSV, Indicates that the Compare the radiation dose of medical devices in each department with the radiation threshold BSV, comprehensively monitor the fluctuation of current, voltage, magnetic field strength and radiation dose, and promptly discover faults during the operation of medical devices; The detection management unit analyzes the use quality of each medium-risk and high-risk medical device based on the maintenance data set and generates the corresponding life span Smsc. The calculation formula is as follows: In the formula, Smsc represents the life span, ZBS represents the standard use time of a single medium-risk medical device, and α represents the conversion coefficient for the average frequency of use of medium-risk medical devices. Indicates The number of medium-risk medical devices used in each department, s represents the number of The daily outpatient volume of each department is It represents the ratio of the number of medium-risk medical devices used to the daily outpatient volume, that is, the per capita usage frequency of a single medium-risk medical device. It means converting the average frequency of use of medium-risk medical devices into the reduction of functional life span. ZBL means the total number of parts of a single medium-risk medical device. ZGH means the number of parts replacements of a single medium-risk medical device. represents the ratio of the number of parts replaced to the total number of parts for medium-risk medical devices, β represents the conversion coefficient for the ratio of the number of parts replaced to the total number of parts for medium-risk medical devices, It means converting the ratio of replacement quantity to total number of parts into the reduction of parts life. represents the standard use time minus the reduced functional life and parts life, to obtain the life of a single medium-risk medical device. GBS represents the standard use time of a single high-risk medical device. γ represents the conversion coefficient for the average frequency of use of high-risk medical devices. Indicates The number of high-risk medical devices used in each department, It represents the ratio of the number of high-risk medical devices used to the daily outpatient volume, that is, the per capita usage frequency of a single high-risk medical device. It means converting the average frequency of use of high-risk medical devices into the reduction of functional life span. GBL means the total number of parts of a single high-risk medical device. GGH means the number of parts replacements of a single high-risk medical device. It represents the ratio of the number of high-risk medical device parts replaced to the total number of parts. Represents the conversion factor for the ratio of the number of high-risk medical device parts replaced to the total number of parts. It means converting the ratio of replacement quantity to total number of parts into the reduction of parts life. The life span of a single high-risk medical device is obtained by deducting the reduction of functional life span and parts life span from the standard use time. According to the unified calculation logic and different conversion coefficients, the service life of the device can be accurately estimated, medical accidents and equipment failures can be reduced, medical devices can be ensured to be in good working condition at all times, and the quality and efficiency of medical services can be improved; The detection management unit is set with a fixed range of duration threshold SY, inventory threshold KY, medium-risk device life threshold ZSY and high-risk device life threshold GSY, and then combined with the inventory data group Kcsj, monitoring data group Jcsj and life duration Smsc to judge the product quality, treatment stability and loss degree of medical devices. When the difference between the expiration date and the current time point in the inventory data group Kcsj is lower than the duration threshold SY, it indicates that the quality of the medical device product is unstable, and the staff is reminded to conduct quality inspection and re-purchase in time. When the difference between the quota quantity and the issued quantity in the inventory data group Kcsj is lower than the inventory threshold KY , indicating that the inventory of medical devices is small, it is recommended that the staff give priority to scheduling. When any value in the monitoring data group Jcsj exceeds the threshold range, it means that the stability of the medical device when providing treatment is poor, and a shutdown alarm is output immediately. When the life span of medium-risk medical devices Smsc is lower than the life threshold ZSY of medium-risk devices, it means that the medium-risk medical devices are seriously worn out, and the staff is reminded to replace new devices. When the life span Smsc of medium-risk medical devices is lower than the life threshold GSY of high-risk devices, it means that the high-risk medical devices are seriously worn out, and the staff is reminded to replace new devices. A comprehensive assessment of the life of the equipment is good for medical quality.

[0020] Example 1: In this experiment, a thermometer, a low-risk medical device, is selected as the experimental object. After testing, the expiration date of the thermometer is October 1, 2026, and the current time point is October 1, 2024. The number of outpatient departments is 1,800, the number of inpatient departments is 1,900, and the number of emergency departments is 1,100. The quota for outpatient departments is 2,000, the quota for inpatient departments is 2,000, and the quota for emergency departments is 1,500. The inventory data group Kcsj of the thermometer is calculated as follows: In the formula, kcsj represents the inventory data group, and 24 months represents the difference between the expiration date and the current time point. It means calculating the difference between the quota quantity and the issued quantity of m departments at the same time, and the total difference is 700.

[0021] Example 2: In this experiment, a high-risk medical device, a magnetic resonance imaging MRI device, was selected as the experimental object. According to statistics, the standard use time of the magnetic resonance imaging MRI device is 10 years, the average daily use frequency is 72 times, the conversion coefficient for the average use frequency of high-risk medical devices is 5, the total number of parts is 100, the number of parts replaced is 5, and the conversion coefficient for the ratio of the number of parts replaced to the total number of parts for high-risk medical devices is 10. The life span Smsc calculation formula of the magnetic resonance imaging MRI device is as follows: In the formula, Smsc represents the life span, It means converting the average frequency of use of high-risk medical devices into the reduction in functional life span. It means converting the ratio of replacement quantity to total number of parts into the reduction of parts life. It represents the standard usage time minus the reduced functional life time and the reduced parts life time, and the life time of the magnetic resonance imaging MRI equipment is 104.5 months.

[0022] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A medical device detection system, characterized in that: Including data acquisition module and intelligent evaluation module; The data acquisition module is composed of an instrument data unit, a usage data unit and a maintenance data unit. The instrument data unit collects an instrument data set through a network connection to a database, and the instrument data set includes specification data of all types of medical instruments. The usage data unit collects a usage data set through a network connection to a database, and the usage data set includes usage records of medical instruments in all departments. The maintenance data unit collects a maintenance data set through a network connection to a database, and the maintenance data set includes maintenance data of medical instruments at all time points. The data acquisition module transmits the instrument data set, usage data set and maintenance data set to the intelligent evaluation module through the network. The intelligent evaluation module is composed of an inventory management unit, a quality analysis unit and a detection management unit. The inventory management unit analyzes the effective time of each medical device and the remaining quantity of each department according to the device data set and the usage data set, generates a corresponding inventory data group kcsj, and transmits it to the detection management unit through the network. The quality analysis unit is provided with a fixed range of current threshold BA, voltage threshold BV, magnetic field threshold BH and radiation threshold BSV, and then combines the usage data set to analyze the stability of each medical device when providing treatment, generates a corresponding monitoring data group Jcsj, and transmits it to the detection management unit through the network. The detection management unit analyzes the usage quality of each medium-risk and high-risk medical device according to the maintenance data set, and generates a corresponding life span Smsc. The detection management unit is provided with a fixed range of time threshold SY, inventory threshold KY, medium-risk device life threshold ZSY and high-risk device life threshold GSY, and then combines the inventory data group kcsj, the monitoring data group Jcsj and the life span Smsc to judge the product quality, treatment stability and loss degree of the medical device, and output corresponding management suggestions.

2. A medical device detection system according to claim 1, characterized in that: The expression of the instrument data set is , to They are the specification data of the first to nth medical devices, respectively. The specification data include purchase quantity, production identification and product identification. d represents the risk level of a single medical device.

3. A medical device detection system according to claim 2, characterized in that: The expression of using the data set is , to They are the usage records of medical devices from the first to the mth department, including the number of devices used, current value, voltage value, magnetic field strength value and radiation dose. s represents the daily outpatient volume of a single department.

4. A medical device detection system according to claim 3, characterized in that: The expression of the maintenance data set is: , to They are the maintenance data of the first to x-th medical devices, respectively. The maintenance data include the cause of failure and the number of parts replaced. t represents the maintenance time of a single medical device.

5. A medical device detection system according to claim 4, characterized in that: The calculation process of the inventory data set kcsj is as follows: Extract the specification data of the i-th medical device in the device data set, and mark the purchase quantity of the i-th medical device as , mark the production identification of the i-th medical device as ; According to the usage data set, the total number of medical devices of type i used by each department is counted and marked as , to The total number of medical devices of the ith type used by the first to the mth departments respectively; In the formula, kcsj represents the inventory data group, represents the expiration date in the production identification of the i-th medical device, Indicates the current time point. Indicates the difference between the expiration date and the current time point. represents the quota quantity of the i-th medical device in the k-th department, represents the total number of medical devices of type i used by the kth department, Indicates the difference between the quota quantity and the withdrawal quantity. It means calculating the difference between the quota quantity and the issued quantity of m departments at the same time.

6. A medical device detection system according to claim 5, characterized in that: The calculation process of the monitoring data set Jcsj is as follows: Extract the first The use record of medical equipment in each department and The current value of medical equipment in each department is marked as , will The voltage values ​​of medical devices in each department are marked as , will The magnetic field strength values ​​of medical devices in each department are marked as , will The radiation dose of medical equipment in each department is marked as ; In the formula, Jcsj represents the monitoring data group, and represents the maximum and minimum values ​​of the current threshold BA, Indicates that the The current value of each department's medical device is compared with the current threshold BA. and Indicates the maximum and minimum values ​​in the voltage threshold BV, Indicates that the The voltage value of each department's medical device is compared with the voltage threshold BV. and represents the maximum and minimum values ​​in the magnetic field threshold BH, Indicates that the The magnetic field strength values ​​of medical devices in each department are compared with the magnetic field threshold BH. and Indicates the maximum and minimum values ​​in the ray threshold BSV, Indicates that the The radiation dose of medical devices in each department is compared with the radiation threshold BSV.

7. A medical device detection system according to claim 6, characterized in that: The life span Smsc is calculated by the following formula: In the formula, Smsc represents the life span, ZBS represents the standard use time of a single medium-risk medical device, and α represents the conversion coefficient for the average frequency of use of medium-risk medical devices. Indicates The number of medium-risk medical devices used in each department, s represents the number of The daily outpatient volume of each department is It represents the ratio of the number of medium-risk medical devices used to the daily outpatient volume, that is, the per capita usage frequency of a single medium-risk medical device. It means converting the average frequency of use of medium-risk medical devices into the reduction of functional life span. ZBL means the total number of parts of a single medium-risk medical device. ZGH means the number of parts replacements of a single medium-risk medical device. represents the ratio of the number of parts replaced to the total number of parts for medium-risk medical devices, β represents the conversion coefficient for the ratio of the number of parts replaced to the total number of parts for medium-risk medical devices, It means converting the ratio of replacement quantity to total number of parts into the reduction of parts life. represents the standard use time minus the reduced functional life and parts life, to obtain the life of a single medium-risk medical device. GBS represents the standard use time of a single high-risk medical device. γ represents the conversion coefficient for the average frequency of use of high-risk medical devices. Indicates The number of high-risk medical devices used in each department, It represents the ratio of the number of high-risk medical devices used to the daily outpatient volume, that is, the per capita usage frequency of a single high-risk medical device. It means converting the average frequency of use of high-risk medical devices into the reduction of functional life span. GBL means the total number of parts of a single high-risk medical device. GGH means the number of parts replacements of a single high-risk medical device. It represents the ratio of the number of high-risk medical device parts replaced to the total number of parts. Represents the conversion factor for the ratio of the number of high-risk medical device parts replaced to the total number of parts. It means converting the ratio of replacement quantity to total number of parts into the reduction of parts life. It represents the life span of a single high-risk medical device obtained by deducting the reduced functional life span and the reduced parts life span from the standard use time.

8. A medical device detection system according to claim 7, characterized in that: When the difference between the expiration date and the current time point in the inventory data group Kcsj is lower than the duration threshold SY, it indicates that the quality of the medical device products is unstable, and the staff is reminded to conduct quality inspection and re-purchase in a timely manner. When the difference between the quota quantity and the issued quantity in the inventory data group Kcsj is lower than the inventory threshold KY, it indicates that the medical device inventory is small, and the staff is advised to give priority to scheduling.

9. A medical device detection system according to claim 8, characterized in that: When any value in the monitoring data group Jcsj exceeds the threshold range, it indicates that the stability of the medical device in providing treatment is poor, and a shutdown alarm is immediately output.

10. A medical device detection system according to claim 9, characterized in that: When the life span of the medium-risk medical device Smsc is lower than the life span threshold ZSY of the medium-risk medical device, it indicates that the medium-risk medical device is seriously worn out, and the staff is reminded to replace the new device. When the life span of the high-risk medical device Smsc is lower than the life span threshold GSY of the high-risk medical device, it indicates that the high-risk medical device is seriously worn out, and the staff is reminded to replace the new device.

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