A medical equipment management system for neurosurgery

Abstract

The present invention relates to the field of medical equipment management technology, and in particular to a neurosurgery medical equipment management system, including a management service platform, an equipment information unit, an equipment classification unit, a depreciation assessment unit, an impact analysis unit, a loss demand unit, a fusion management and control unit, and a management and control response unit; the present invention preliminarily divides and analyzes medical equipment so as to analyze feedback management from the perspective of short-term and long-term medical equipment, which helps to divide and manage damaged medical equipment and normal medical equipment, and at the same time helps to rationalize the maintenance cycle adjustment to reduce the impact of the medical equipment itself on the use of the medical equipment. Information processing management and control division analysis is performed by information fusion, so as to rationally adjust the management and control of the entire medical equipment based on feedback information, so as to reduce the use risk of the entire medical equipment, and at the same time help to improve the use management effect of the entire medical equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment management, and in particular to a medical equipment management system for neurosurgery. Background Art

[0002] Medical devices refer to instruments, equipment, appliances, in vitro diagnostic reagents and calibrators, materials and other similar or related items used directly or indirectly on the human body, including the required computer software; medical devices include medical equipment and medical consumables; the purpose is the diagnosis, prevention, monitoring, treatment or relief of diseases; the diagnosis, monitoring, treatment, relief or functional compensation of injuries; the inspection, replacement, regulation or support of physiological structures or physiological processes; the support or maintenance of life;

[0003] However, in the existing technology, it is impossible to rationally manage medical devices, which is not conducive to the classification and management according to the use of medical devices. At the same time, it is impossible to rationally manage the operation and maintenance of the same medical devices according to the damage risk, which reduces the management effect of the same medical devices. It is also impossible to comprehensively analyze the consumption and damage ratio of various types of medical devices, thereby reducing the safety of the use of the entire medical device, and is not conducive to the rational management and control of the entire medical device.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a medical equipment management system for neurosurgery to solve the technical defects mentioned above. The present invention preliminarily divides and analyzes medical equipment so as to analyze and feedback management from the perspective of short-term and long-term medical equipment, and divides and controls equipment from the perspective of long-term medical equipment. At the same time, further analysis is performed based on the various types of damage risks of long-term medical equipment to obtain damaged medical equipment and normal medical equipment, which in turn helps to divide and manage damaged medical equipment and normal medical equipment, and helps to rationalize the adjustment of maintenance cycles to reduce the impact of medical equipment itself on the use of medical equipment. Information processing, control and division analysis is performed through information fusion, so as to rationally adjust the control intensity of the entire medical equipment based on feedback information to reduce the use risk of the entire medical equipment, and at the same time help to improve the use management effect of the entire medical equipment.

[0006] The object of the present invention can be achieved by the following technical solutions: A management system for neurosurgery medical equipment, including a management service platform, an equipment information unit, an equipment classification unit, a loss assessment unit, an impact analysis unit, a loss demand unit, a fusion control unit and a control response unit;

[0007] The equipment information unit is used to collect status data and damage data of medical equipment, and send the status data and damage data to the equipment classification unit and the damage assessment unit respectively;

[0008] After receiving the status data, the equipment classification unit immediately performs equipment classification and control operations on the status data, compares and analyzes the obtained damage ratio values, and obtains damaged medical equipment and normal medical equipment;

[0009] After receiving the damage data, the damage assessment unit immediately performs equipment damage impact classification analysis on the damage data, and sends the obtained damage assessment coefficient Zg to the equipment classification unit;

[0010] The impact analysis unit is used to perform a usage risk supervision feedback analysis on damaged medical devices and normal medical devices to obtain a continuous risk coefficient;

[0011] The loss demand unit is used to collect consumption data of short-term medical equipment, and perform shortage risk supervision analysis on the consumption data to obtain a shortage ratio value;

[0012] The fusion control unit is used to perform information processing control division analysis on the continuous risk coefficient and the deficiency ratio value, and compare and analyze the obtained usage control evaluation coefficient R to obtain the control index GK.

[0013] Preferably, the equipment classification control operation process of the equipment classification unit is as follows:

[0014] Set a monitoring period, and set the monitoring period as a time threshold, divide medical equipment into short-term medical equipment and long-term medical equipment, short-term medical equipment means that it can only be used once, and long-term medical equipment means that it can be used more than once, set the same type of long-term medical equipment as g, g is a natural number greater than zero, and obtain the status data of the same type of long-term medical equipment within the time threshold;

[0015] The status data includes an operation and maintenance management coefficient and an environmental interference level, and the operation and maintenance management coefficient and the environmental interference level are labeled YWg and HGg respectively, and the damage risk assessment coefficient Sg is obtained according to the formula.

[0016] Preferably, the injury risk assessment coefficient Sg is compared and analyzed with a preset injury risk assessment coefficient threshold value recorded and stored in the equipment classification unit, and the ratio between the number of long-term medical devices of the same type corresponding to the injury risk assessment coefficient Sg being greater than or equal to the preset injury risk assessment coefficient threshold value and the total number of long-term medical devices of the same type is set as the injury proportion value, and the injury proportion value is compared and analyzed with a preset injury proportion value threshold value recorded and stored in the equipment classification unit:

[0017] If the ratio between the damage ratio value and the preset damage ratio value threshold is greater than or equal to 1, it is judged as a damaged medical device; if the ratio between the damage ratio value and the preset damage ratio value threshold is less than 1, it is judged as a normal medical device.

[0018] Preferably, the operation and maintenance management coefficient represents the value obtained by comparing the proportion of the corresponding number of delayed maintenance times in the total number of historical maintenance times of the same long-term medical device with the average value of the maintenance evaluation coefficient after data normalization, and the maintenance evaluation coefficient represents the average value of the corresponding values ​​of the historical maintenance review and scoring records;

[0019] The analysis process of the environmental interference level is as follows: the environmental data of the environment in which the same long-term medical equipment is located exceeds the overlap time corresponding to the preset threshold, and the overlap time is compared and analyzed with the preset overlap time range. If the overlap time is greater than the maximum value in the preset overlap time range, it is determined to be a first-level interference level. If the overlap time belongs to the preset overlap time range, it is determined to be a second-level interference level. If the overlap time is less than the minimum value in the preset overlap time range, it is determined to be a third-level interference level. The environmental interference levels corresponding to the first-level interference level, the second-level interference level and the third-level interference level are obtained. The environmental interference level = v1, v2, v3, v1 is greater than v2, greater than v3, greater than zero, and the environmental data includes temperature and humidity.

[0020] Preferably, the equipment damage impact division and analysis process of the damage assessment unit is as follows:

[0021] Obtain the depreciation data of the same long-term medical equipment, which includes operation time, usage value and number of failures. The operation time, usage value and number of failures are labeled as YZg, SZg and GZg respectively. Substitute the operation time YZg, usage value SZg and number of failures GZg into the formula to obtain the depreciation assessment coefficient Zg of the same long-term medical equipment;

[0022] The operating time indicates the time from the production date to the current time of the same type of long-term medical equipment, and the usage value indicates the product of the total number of times the same type of long-term medical equipment is used and the total time corresponding to the number of times of use after data normalization processing.

[0023] Preferably, the use risk supervision feedback analysis process of the impact analysis unit is as follows:

[0024] The ratio between the number of the same type of damaged medical devices and the number of normal medical devices is obtained, and the ratio between the number of the same type of damaged medical devices and the number of normal medical devices is set as the same-use risk ratio, the type of medical devices is obtained, and the type of medical devices is set to m, where m is a natural number greater than zero, the same-use risk ratio is compared and analyzed with a preset same-use risk ratio threshold value input and stored in the impact analysis unit, and the same type of medical devices corresponding to the same-use risk ratio greater than or equal to the preset same-use risk ratio threshold value are set as equipment risk classes, the number of equipment risk classes is obtained, and the number of equipment risk classes is set to n, where n is a natural number greater than zero, and then the ratio of n to m is obtained, and the ratio of n to m is set as the continuous risk coefficient.

[0025] Preferably, the use shortage risk supervision analysis process of the loss demand unit is as follows:

[0026] The consumption data of the same short-term medical equipment within the time threshold is obtained, and the consumption data represents the daily consumption. A rectangular coordinate system is established with day as the X-axis and the daily consumption as the Y-axis. The daily consumption curve is drawn by tracing points, and the maximum peak point and the minimum trough point in the daily consumption curve are obtained. The daily consumption corresponding to the midpoint of the vertical line segment between the maximum peak point and the minimum trough point in the daily consumption curve is set as the consumption coefficient, and the consumption coefficient is compared with the preset consumption coefficient threshold entered and stored in the loss demand unit. The same short-term medical equipment with a consumption coefficient greater than the preset consumption coefficient threshold is set as a consumable equipment class, and the total number of types of short-term medical equipment is obtained. Then, the ratio between the number of consumable equipment classes and the total number of types of short-term medical equipment is obtained, and the ratio between the number of consumable equipment classes and the total number of types of short-term medical equipment is set as the prone to shortage ratio.

[0027] Preferably, the information processing control division analysis process of the fusion control unit is as follows:

[0028] Obtain the continuous risk factor and defect ratio of medical equipment;

[0029] The continuous risk factor and the defect ratio are labeled CF and QS respectively. Substitute the continuous risk factor CF and the defect ratio QS into the formula The use control assessment coefficient is obtained, wherein α and β are preset weight factor coefficients of the continuous risk coefficient and the vulnerability ratio value, respectively, α and β are both greater than zero, and R is the use control assessment coefficient;

[0030] The usage control assessment coefficient R is compared and analyzed with the preset usage control assessment coefficient interval entered and stored in the fusion control unit: if the usage control assessment coefficient R is greater than the maximum value in the preset usage control assessment coefficient interval, it is determined to be level one control; if the usage control assessment coefficient R belongs to the preset usage control assessment coefficient interval, it is determined to be level two control; if the usage control assessment coefficient R is less than the minimum value in the preset usage control assessment coefficient interval, it is determined to be level three control, and the level one control, level two control and level three control are set as control indexes GK, GK=1, 2, 3.

[0031] The beneficial effects of the present invention are as follows:

[0032] (1) The present invention divides and analyzes medical equipment preliminarily, so as to analyze and feedback management from the perspective of short-term and long-term medical equipment, and divide and control equipment from the perspective of long-term medical equipment. At the same time, further analysis is performed based on the various types of damage risks of long-term medical equipment to obtain damaged medical equipment and normal medical equipment, which helps to divide and manage damaged medical equipment and normal medical equipment, and at the same time helps to rationalize the adjustment of maintenance cycles to reduce the impact of medical equipment itself on the use of medical equipment;

[0033] (2) The present invention conducts in-depth feedback analysis on the use risk supervision of damaged medical devices and normal medical devices through information feedback to understand the use risk of long-term medical devices, so as to provide data support for subsequent medical device management and control. At the same time, the consumption data of short-term medical devices is used for use shortage risk supervision and analysis to understand the proportion of use risk of short-term medical devices. Information processing and control division analysis is performed through information fusion to rationally adjust the control intensity of the entire medical device based on the feedback information, so as to reduce the use risk of the entire medical device, and at the same time help improve the use management effect of the entire medical device. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention will be further described below in conjunction with the accompanying drawings;

[0035] Figure 1 It is a flowchart of the system of the present invention;

[0036] Figure 2 It is a local analysis reference diagram of the first embodiment of the present invention;

[0037] Figure 3 It is a local analysis reference diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0038] 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.

[0039] Embodiment 1:

[0040] See also Figures 1 to 3 As shown, the present invention is a management system for neurosurgery medical equipment, including a management service platform, an equipment information unit, an equipment classification unit, a damage assessment unit, an impact analysis unit, a loss demand unit, a fusion control unit and a control response unit. The management service platform is connected to the equipment information unit and the loss demand unit in a one-way communication manner, the equipment information unit is connected to the equipment classification unit and the damage assessment unit in a one-way communication manner, the damage assessment unit is connected to the equipment classification unit in a one-way communication manner, the equipment classification unit is connected to the impact analysis unit and the control response unit in a one-way communication manner, the loss demand unit and the impact analysis unit are connected to the fusion control unit in a one-way communication manner, and the fusion control unit is connected to the control response unit in a one-way communication manner;

[0041] When the management service platform generates a supervision instruction, it sends the supervision instruction to the equipment information unit. After receiving the supervision instruction, the equipment information unit immediately collects the status data and damage data of the medical equipment, and sends the status data and damage data to the equipment classification unit and the damage assessment unit respectively. After receiving the status data, the equipment classification unit immediately performs equipment classification control operations on the status data, so as to perform rational management and adjust the maintenance cycle according to the damage of the medical equipment, so as to reduce the impact of the medical equipment itself on the use of the medical equipment. The specific equipment classification control operation process is as follows:

[0042] Set the monitoring period and set the monitoring period as the time threshold, and divide the medical devices into short-term medical devices and long-term medical devices. Short-term medical devices can only be used once, and long-term medical devices can be used more than once.

[0043] In the embodiment of the present invention, the same type of long-term medical equipment is set to g, where g is a natural number greater than zero, and the status data of the same type of long-term medical equipment within the time threshold is obtained;

[0044] The state data includes the operation and maintenance management coefficient and the environmental interference level, and the operation and maintenance management coefficient and the environmental interference level are labeled YWg and HGg respectively. Obtain the injury risk assessment coefficient of each long-term medical device of the same type, wherein a1, a2 and a3 are preset proportional factor coefficients of the operation and maintenance management coefficient, the environmental interference level and the damage assessment coefficient, respectively. The proportional factor coefficient is used to correct the deviation of each parameter in the formula calculation process, so as to make the calculation result more accurate. a4 is the preset correction factor coefficient. a1, a2, a3 and a4 are all greater than zero. Sg is the injury risk assessment coefficient of each long-term medical device of the same type;

[0045] In the embodiment of the present invention, the injury risk assessment coefficient Sg is compared and analyzed with the preset injury risk assessment coefficient threshold value recorded and stored in the equipment classification unit, and the ratio between the number of long-term medical devices of the same type corresponding to the injury risk assessment coefficient Sg being greater than or equal to the preset injury risk assessment coefficient threshold value and the total number of long-term medical devices of the same type is set as the injury proportion value, and the injury proportion value is compared and analyzed with the preset injury proportion value threshold value recorded and stored in the equipment classification unit:

[0046] If the ratio between the damage ratio value and the preset damage ratio value threshold is greater than or equal to 1, it is determined that the medical device is damaged;

[0047] If the ratio between the damage ratio value and the preset damage ratio value threshold is less than 1, it is determined to be a normal medical device, and the damaged medical device and the normal medical device are sent to the control response unit. After receiving the damaged medical device and the normal medical device, the control response unit immediately displays the corresponding numbers of the damaged medical device and the normal medical device, so as to rationally manage the damaged medical device and the normal medical device;

[0048] In the embodiment of the present invention, the operation and maintenance management coefficient represents the value obtained by comparing the proportion of the corresponding number of delayed maintenance times in the total number of historical maintenance times of the same long-term medical device with the average value of the maintenance evaluation coefficient after data normalization. The maintenance evaluation coefficient represents the average value of the corresponding values ​​of the historical maintenance review and scoring records. It should be noted that the analysis is conducted from the perspective of historical maintenance of the same long-term medical device to analyze the potential damage of the historical maintenance to the same long-term medical device.

[0049] In the embodiment of the present invention, the analysis process of the environmental interference level is as follows: the environmental data of the environment in which the same long-term medical device is located exceeds the overlap time corresponding to the preset threshold, and the overlap time is compared and analyzed with the preset overlap time range. If the overlap time is greater than the maximum value in the preset overlap time range, it is determined to be a first-level interference level. If the overlap time belongs to the preset overlap time range, it is determined to be a second-level interference level. If the overlap time is less than the minimum value in the preset overlap time range, it is determined to be a third-level interference level. The environmental interference levels corresponding to the first-level interference level, the second-level interference level and the third-level interference level are obtained. The environmental interference level = v1, v2, v3, v1 is greater than v2, greater than v3, greater than zero. The environmental data includes temperature, humidity, etc. It should be noted that the analysis is performed from the perspective of environmental interference to understand the impact of the environment on the damage of the same long-term medical device.

[0050] After receiving the damage data, the damage assessment unit immediately analyzes the damage data by equipment damage impact classification, and analyzes the potential damage of the equipment from the two points of time and usage information, so as to improve the accuracy and data comprehensiveness of the self-status assessment of the same long-term medical equipment. The specific equipment damage impact classification analysis process is as follows:

[0051] Obtain the depreciation data of the same long-term medical equipment, which includes operation time, usage value and number of failures. The operation time, usage value and number of failures are labeled as YZg, SZg and GZg respectively. Substitute the operation time YZg, usage value SZg and number of failures GZg into the formula Obtain the impairment assessment coefficient of the same long-term medical equipment, wherein f1 is a preset fault tolerance factor coefficient, f1 is greater than zero, and Zg is the impairment assessment coefficient of each long-term medical equipment of the same type, and send the impairment assessment coefficient Zg to the equipment classification unit;

[0052] In the embodiment of the present invention, the operating time represents the time between the production date of the same long-term medical device and the current time, and the usage value represents the product of the total number of uses of the same long-term medical device and the total time corresponding to the number of uses after data normalization. It should be noted that analysis is performed from two points of time and usage information to improve the accuracy of the status assessment of the same long-term medical device itself and the comprehensiveness of the data.

[0053] Embodiment 2:

[0054] The impact analysis unit is used to conduct risk supervision feedback analysis on damaged medical devices and normal medical devices to understand the risk of long-term use of medical devices, so as to provide data support for subsequent medical device management and control. The specific risk supervision feedback analysis process is as follows:

[0055] The ratio between the number of the same type of damaged medical devices and the number of normal medical devices is obtained, and the ratio between the number of the same type of damaged medical devices and the number of normal medical devices is set as the same type of use risk ratio, the type of medical devices is obtained, and the type of medical devices is set to m, where m is a natural number greater than zero, the same type of use risk ratio is compared and analyzed with the preset same type of use risk ratio threshold value recorded and stored in the impact analysis unit, and the same type of medical devices corresponding to the same type of use risk ratio greater than or equal to the preset same type of use risk ratio threshold value are set as device risk classes, the number of device risk classes is obtained, and the number of device risk classes is set to n, where n is a natural number greater than zero, and then the ratio of n to m is obtained, and the ratio of n to m is set as the continuous risk coefficient. It should be noted that the continuous risk coefficient is an influencing parameter reflecting the long-term use risk of medical devices;

[0056] In the embodiment of the present invention, the more types of long-term medical equipment with excessive damage risk, the greater the use risk of the entire long-term medical equipment, and the greater the risk of potential use impact of the long-term medical equipment. For example, the number of a long-term medical equipment is 8, of which 6 are damaged medical equipment and 2 are normal medical equipment, then the same use risk ratio is 3. When the same use risk ratio is greater than or equal to the same use risk ratio threshold, the long-term medical equipment is determined to be a device risk class. If the types of medical equipment are set to 9 and there are 7 device risk classes, the higher the management demand for medical equipment, the greater the use risk of the long-term medical equipment;

[0057] The loss demand unit is used to respond to regulatory instructions and collect consumption data of short-term medical devices, and conduct use shortage risk regulatory analysis on the consumption data to understand the use risk of short-term medical devices. The specific use shortage risk regulatory analysis process is as follows:

[0058] The consumption data of the same short-term medical equipment within the time threshold is obtained, and the consumption data represents the daily consumption. A rectangular coordinate system is established with day as the X-axis and the daily consumption as the Y-axis. The daily consumption curve is drawn by plotting points, and then the maximum peak point and the minimum trough point in the daily consumption curve are obtained. The daily consumption corresponding to the midpoint of the vertical line segment between the maximum peak point and the minimum trough point in the daily consumption curve is set as the consumption coefficient, and the consumption coefficient is compared with the preset consumption coefficient threshold value recorded and stored in the loss demand unit. The same short-term medical equipment corresponding to the consumption coefficient greater than the preset consumption coefficient threshold value is set as a consumable equipment class, and the total number of types of short-term medical equipment is obtained. Then, the ratio between the number of consumable equipment classes and the total number of types of short-term medical equipment is obtained, and the ratio between the number of consumable equipment classes and the total number of types of short-term medical equipment is set as the ratio of the number of consumable equipment classes to the total number of types of short-term medical equipment. It should be noted that the ratio of the easy shortage ratio is an influencing parameter reflecting the use risk of short-term medical equipment, that is, the higher the proportion of consumable equipment classes in the types of short-term medical equipment, the higher the risk of shortage of short-term medical equipment and the greater the control demand;

[0059] The fusion control unit is used to perform information processing control division analysis on the continuous risk coefficient and the percentage of vulnerable shortages, so as to rationally control the entire medical device through information feedback to reduce the use risk of medical devices. The specific information processing control division analysis process is as follows:

[0060] Obtain the continuous risk factor and defect ratio of medical equipment;

[0061] The continuous risk factor and the defect ratio are labeled CF and QS respectively. Substitute the continuous risk factor CF and the defect ratio QS into the formula The use control assessment coefficient is obtained, where α and β are the preset weight factor coefficients of the continuous risk coefficient and the vulnerability ratio respectively, α and β are both greater than zero, and R is the use control assessment coefficient. The use control assessment coefficient R is compared and analyzed with the preset use control assessment coefficient interval stored in the fusion control unit:

[0062] If the use control assessment coefficient R is greater than the maximum value in the preset use control assessment coefficient range, it is determined to be level one control;

[0063] If the use control assessment coefficient R belongs to the preset use control assessment coefficient range, it is determined to be level 2 control;

[0064] If the use control evaluation coefficient R is less than the minimum value in the preset use control evaluation coefficient interval, it is determined to be level three control, wherein the control requirements corresponding to level one control, level two control and level three control are successively reduced, and level one control, level two control and level three control are set as control index GK, GK=1, 2, 3, and the control index GK is sent to the control response unit. After receiving the control index GK, the control response unit immediately displays the corresponding value of the control index GK, so as to rationally adjust the control intensity of the entire medical device according to the feedback information, so as to reduce the use risk of the entire medical device, and at the same time help to improve the use management effect of the entire medical device;

[0065] In summary, the present invention preliminarily divides and analyzes medical equipment so as to analyze and feedback management from the perspective of short-term and long-term medical equipment, divides and controls equipment from the perspective of long-term medical equipment, and further analyzes various types of damage risks of long-term medical equipment to obtain damaged medical equipment and normal medical equipment, which helps to divide and manage damaged medical equipment and normal medical equipment, and helps to rationalize the maintenance cycle adjustment to reduce the impact of medical equipment itself on the use of medical equipment. Through information feedback, in-depth use risk supervision feedback analysis of damaged medical equipment and normal medical equipment is performed to understand the use risk of long-term medical equipment, so as to provide data support for subsequent medical equipment management. At the same time, the consumption data of short-term medical equipment is subjected to use shortage risk supervision analysis to understand the use risk ratio of short-term medical equipment. Information processing control division analysis is performed through information fusion, so as to rationalize the control intensity of the entire medical equipment according to the feedback information to reduce the use risk of the entire medical equipment, and help to improve the use management effect of the entire medical equipment.

[0066] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0067] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A medical equipment management system for neurosurgery, characterized in that: It includes a management service platform, an equipment information unit, an equipment classification unit, a loss assessment unit, an impact analysis unit, a loss demand unit, a fusion control unit, and a control response unit; The equipment information unit is used to collect status data and damage data of medical equipment, and send the status data and damage data to the equipment classification unit and the damage assessment unit respectively; After receiving the status data, the equipment classification unit immediately performs equipment classification and control operations on the status data, compares and analyzes the obtained damage ratio values, and obtains damaged medical equipment and normal medical equipment; After receiving the damage data, the damage assessment unit immediately performs equipment damage impact classification analysis on the damage data, and sends the obtained damage assessment coefficient Zg to the equipment classification unit; The impact analysis unit is used to perform a usage risk supervision feedback analysis on damaged medical devices and normal medical devices to obtain a continuous risk coefficient; The loss demand unit is used to collect consumption data of short-term medical equipment, and perform shortage risk supervision analysis on the consumption data to obtain a shortage ratio value; The fusion control unit is used to perform information processing control division analysis on the continuous risk coefficient and the vulnerable ratio value, and compare and analyze the obtained use control evaluation coefficient R to obtain the control index GK; The equipment classification control operation process of the equipment classification unit is as follows: Set a monitoring period, and set the monitoring period as a time threshold, divide medical equipment into short-term medical equipment and long-term medical equipment, short-term medical equipment means that it can only be used once, and long-term medical equipment means that it can be used more than once, set the same type of long-term medical equipment as g, g is a natural number greater than zero, and obtain the status data of the same type of long-term medical equipment within the time threshold; The state data includes the operation and maintenance management coefficient and the environmental interference level, and the operation and maintenance management coefficient and the environmental interference level are labeled YWg and HGg respectively. The damage risk assessment coefficient Sg is obtained, wherein a1, a2 and a3 are preset proportional factor coefficients of the operation and maintenance management coefficient, the environmental interference level and the damage assessment coefficient, respectively, and a4 is a preset correction factor coefficient, and a1, a2, a3 and a4 are all greater than zero; The injury risk assessment coefficient Sg is compared and analyzed with the preset injury risk assessment coefficient threshold value recorded and stored in the equipment classification unit, and the ratio between the number of long-term medical devices of the same type corresponding to the injury risk assessment coefficient Sg being greater than or equal to the preset injury risk assessment coefficient threshold value and the total number of long-term medical devices of the same type is set as the injury proportion value, and the injury proportion value is compared and analyzed with the preset injury proportion value threshold value recorded and stored in the equipment classification unit: If the ratio between the damage ratio value and the preset damage ratio value threshold is greater than or equal to 1, it is determined to be a damaged medical device; if the ratio between the damage ratio value and the preset damage ratio value threshold is less than 1, it is determined to be a normal medical device; The operation and maintenance management coefficient represents the value obtained by comparing the proportion of the corresponding number of delayed maintenance times in the total number of historical maintenance times of the same long-term medical device with the average value of the maintenance evaluation coefficient after data normalization. The maintenance evaluation coefficient represents the average value of the corresponding values ​​of the historical maintenance review and scoring records; The analysis process of the environmental interference level is as follows: the environmental data of the environment in which the same long-term medical equipment is located exceeds the overlap time corresponding to the preset threshold, and the overlap time is compared and analyzed with the preset overlap time range. If the overlap time is greater than the maximum value in the preset overlap time range, it is determined to be a first-level interference level. If the overlap time belongs to the preset overlap time range, it is determined to be a second-level interference level. If the overlap time is less than the minimum value in the preset overlap time range, it is determined to be a third-level interference level. The environmental interference levels corresponding to the first-level interference level, the second-level interference level and the third-level interference level are obtained. The environmental interference level = v1, v2, v3, v1 is greater than v2, greater than v3, greater than zero, and the environmental data include temperature and humidity; The equipment damage impact classification and analysis process of the damage assessment unit is as follows: Obtain the depreciation data of the same long-term medical equipment, which includes operation time, usage value and number of failures. The operation time, usage value and number of failures are labeled as YZg, SZg and GZg respectively. Substitute the operation time YZg, usage value SZg and number of failures GZg into the formula Obtain the impairment assessment coefficient Zg of the same long-term medical equipment, where f1 is the preset fault tolerance factor coefficient, and f1 is greater than zero; The operation time indicates the time from the production date to the current time of the same type of long-term medical equipment, and the usage value indicates the product value obtained by multiplying the total number of times the same type of long-term medical equipment is used by the total time corresponding to the number of times of use after data normalization processing; The use risk supervision feedback analysis process of the impact analysis unit is as follows: The ratio between the number of the same type of damaged medical devices and the number of normal medical devices is obtained, and the ratio between the number of the same type of damaged medical devices and the number of normal medical devices is set as the same type of use risk ratio, the type of medical devices is obtained, and the type of medical devices is set to m, where m is a natural number greater than zero, the same type of use risk ratio is compared and analyzed with a preset same type of use risk ratio threshold value recorded and stored in the impact analysis unit, and the same type of medical devices corresponding to the same type of use risk ratio greater than or equal to the preset same type of use risk ratio threshold value are set as device risk classes, the number of device risk classes is obtained, and the number of device risk classes is set to n, where n is a natural number greater than zero, and then the ratio of n to m is obtained, and the ratio of n to m is set as the continuous risk coefficient; The process of monitoring and analyzing the use shortage risk of the loss demand unit is as follows: The consumption data of the same short-term medical equipment within the time threshold is obtained, and the consumption data represents the daily consumption. A rectangular coordinate system is established with day as the X-axis and the daily consumption as the Y-axis. The daily consumption curve is drawn by plotting points, and then the maximum peak point and the minimum trough point in the daily consumption curve are obtained. The daily consumption corresponding to the midpoint of the vertical line segment between the maximum peak point and the minimum trough point in the daily consumption curve is set as the consumption coefficient, and the consumption coefficient is compared and analyzed with the preset consumption coefficient threshold value recorded and stored in the loss demand unit, and the same short-term medical equipment corresponding to the consumption coefficient greater than the preset consumption coefficient threshold value is set as a consumable equipment class, and the total number of types of short-term medical equipment is obtained, and then the ratio between the number of consumable equipment classes and the total number of types of short-term medical equipment is obtained, and the ratio between the number of consumable equipment classes and the total number of types of short-term medical equipment is set as the ratio of the number of consumable equipment classes to the total number of types of short-term medical equipment. The information processing control division analysis process of the fusion control unit is as follows: Obtain the continuous risk factor and defect ratio of medical equipment; The continuous risk factor and the defect ratio are labeled CF and QS respectively. Substitute the continuous risk factor CF and the defect ratio QS into the formula The use control assessment coefficient is obtained, wherein α and β are preset weight factor coefficients of the continuous risk coefficient and the vulnerability ratio value, respectively, α and β are both greater than zero, and R is the use control assessment coefficient; The usage control assessment coefficient R is compared and analyzed with the preset usage control assessment coefficient interval entered and stored in the fusion control unit: if the usage control assessment coefficient R is greater than the maximum value in the preset usage control assessment coefficient interval, it is determined to be level one control; if the usage control assessment coefficient R belongs to the preset usage control assessment coefficient interval, it is determined to be level two control; if the usage control assessment coefficient R is less than the minimum value in the preset usage control assessment coefficient interval, it is determined to be level three control, and the level one control, level two control and level three control are set as control indexes GK, GK=1, 2, 3.

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