Repair data supervision and analysis method and system for medical system

Abstract

The invention provides a repair data supervision and analysis method and system for a medical system, and belongs to the technical field of data management, and the method specifically comprises the steps: determining an update demand department based on a use matching condition, so as to update an analysis result of equipment repair data in the demand department, determining repair interval durations of different equipment, and combining the equipment repair data to obtain the repair data of the different equipment; determining identification processing methods of potential update targets in update demand equipment in the update demand departments, obtaining the update demand departments with potential update target use, and combining the identification processing methods of the potential update targets in different update demand departments and the use matching conditions of the maintenance accessories to obtain the update demand departments with the potential update targets. And the replacement processing strategy of the potential update target is determined, so that the use reliability of the equipment is improved.

Description

Technical Field

[0001] This invention belongs to the field of data management technology, and in particular relates to a method and system for monitoring and analyzing repair data in medical systems. Background Technology

[0002] To achieve the monitoring, analysis, and processing of warranty data within hospitals, existing technical solutions generate maintenance lists based on repair requests and medical equipment information, assign these lists to appropriate maintenance technicians, and automatically process the maintenance lists. This reduces the workload of the hospital's equipment department and improves work efficiency. However, the above technical solutions have the following technical problems: Existing technical solutions neglect to determine equipment update strategies based on the availability of spare parts for frequently reported equipment. Specifically, if a department has equipment that is frequently reported for repair and the required spare parts are relatively fixed, clustered repairs may lead to a shortage of spare parts, inevitably causing the department to be unable to meet its diagnostic and treatment needs. Therefore, how to identify equipment that needs to be updated has become an urgent technical problem to be solved.

[0003] To address the aforementioned technical issues, this application provides a method and system for monitoring and analyzing repair data in a medical system. Summary of the Invention

[0004] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides a method for monitoring and analyzing repair data in a medical system, which includes: S1 uses the monitoring and analysis results of equipment repair data to identify equipment in need of replacement. Based on the equipment repair data of the equipment in need of replacement in the department, it determines the matching status of repair parts with the equipment in need of replacement. Based on the matching status, it determines the department in need of replacement. S2 uses the analysis results of the equipment repair data in the department with the update requirement to determine the repair interval of different equipment, and combines the equipment repair data to determine the identification and processing method of potential update targets among the equipment with update requirements in the department with the update requirement; S3 identifies the departments with update needs that have the potential update targets, and determines the replacement strategy for the potential update targets by combining the identification and processing methods of potential update targets in different update need departments and the matching situation with the use of maintenance parts.

[0005] The beneficial effects of this invention are as follows: Based on the demand data for maintenance parts for equipment requiring upgrades, the departments that need to replace the equipment are identified. This allows for the screening of departments with a large number of equipment requiring upgrades, based on the types of maintenance parts needed and the frequency of use of different parts in historical maintenance processes. This ensures the operational reliability of the equipment in these departments.

[0006] By considering the departments with potential update needs, the identification and processing methods for potential update targets in different update-demand departments, and the matching of these targets with maintenance parts, a replacement strategy for the potential update targets is determined. This avoids the technical problems that could arise if all potential update targets are replaced when there are many update-demand departments, and if the replacement target has a serious malfunction, significantly impacting the update-demand departments. By comprehensively considering the update needs of potential update targets in different update-demand departments, the reliability of the update process is improved.

[0007] Furthermore, the equipment repair data includes the number of times the equipment has been reported for repair and the fault types corresponding to different numbers of equipment repair reports.

[0008] Furthermore, the method for determining the update-required devices in the aforementioned equipment is as follows: Based on the equipment repair data, determine the interval between different adjacent equipment repair calls; Based on the time interval between the number of equipment repair requests and the previous adjacent number of equipment repair requests, the number of equipment repair requests within different time interval ranges is determined. By using the number of equipment repair requests within different time intervals, it can be determined whether the equipment is in need of replacement.

[0009] Furthermore, the method for determining the departments requiring updates is as follows: Based on the demand data for repair parts of the equipment requiring upgrades, determine the usage data for the repair parts of the equipment requiring upgrades; Based on the usage data, the number of times the equipment requiring replacement is used with different repair parts is determined. Based on the number of times the equipment requiring replacement is used with different repair parts, a usage matching factor between the equipment requiring replacement and different repair parts is determined. By using the matching factor of the use of different maintenance parts for the equipment in the department that needs to be updated, it can be determined whether the department is a department that needs to be updated.

[0010] It is understood that the matching factor is determined based on the proportion of the number of times the replacement device uses the repair parts to the total number of times the replacement device uses all repair parts.

[0011] Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described method for monitoring and analyzing repair data for a medical system when running the computer program.

[0012] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0013] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0014] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0015] Figure 1 This is a flowchart of a method for monitoring and analyzing repair data in a medical system. Figure 2 This is a flowchart illustrating the method for determining the equipment requiring upgrades within the equipment ecosystem; Figure 3 This is a flowchart illustrating the method for determining the departments that require updates; Figure 4 This is a flowchart of the method for determining the identification and processing of potential update targets. Detailed Implementation

[0016] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0017] Example 1 like Figure 1 As shown, this application provides a method for monitoring and analyzing repair data in a medical system, specifically including: S1 uses the monitoring and analysis results of equipment repair data to identify equipment in need of replacement. Based on the equipment repair data of the equipment in need of replacement in the department, it determines the matching status of repair parts with the equipment in need of replacement. Based on the matching status, it determines the department in need of replacement. Furthermore, the equipment repair data includes the number of times the equipment has been reported for repair and the repair parts required for different numbers of equipment reports.

[0018] Specifically, such as Figure 2 As shown, the method for determining the equipment requiring updates in the aforementioned equipment is as follows: Based on the equipment repair data, determine the interval between different adjacent equipment repair calls; Based on the interval between the number of repair reports of the device and the number of repair reports of the previous adjacent device, the number of repair reports of devices whose interval between the number of repair reports of adjacent devices is less than a preset interval threshold is determined and used as the number of clustered repair reports. The number of reported repairs is used to determine whether the device is in need of replacement.

[0019] It is understood that when the number of clustered repair requests exceeds a preset threshold, the device is determined to be a device requiring replacement.

[0020] By analyzing the clustering of equipment repair records over time and further combining it with repair parts data, we can screen equipment with concentrated demand for repair parts and concentrated repairs, thereby determining whether it needs to be updated (rather than repaired) or replaced.

[0021] Adjacent Repair Interval: The time interval between two consecutive repair reports for equipment. This is a core indicator for measuring equipment operational stability. The shorter the interval, the more frequent the equipment failures and the worse the stability.

[0022] Clustered Repair Requests: This refers to the total number of repair events in the equipment's repair records where the interval between the previous repair request and the previous one is less than a preset threshold. This metric does not focus on the total number of faults but specifically captures "continuous faults within a short period of time." It indicates whether the equipment has entered a vicious cycle of "unrepairable" or "repaired only to break down again," and is a strong signal of the degree of clustering of equipment maintenance needs.

[0023] Preset interval duration threshold: used to define the time range of "continuous failures in a short period of time", such as 30 days. Preset clustered repair number threshold: used to determine the severity of the clustered failures, such as 2 times.

[0024] In a specific embodiment, the system parameters are: preset interval duration threshold: 30 days, preset aggregated repair number threshold: 2 times; Step 1: Data Preparation The system retrieved and analyzed the repair records of three devices: Equipment A (Patient Monitor) Repair Record: 1st repair request: 2023-01-10, 2nd repair request: 2023-03-15 (64 days after the last request), 3rd repair request: 2023-04-01 (17 days after the last request), 4th repair request: 2023-04-25 (24 days after the last request), 5th repair request: 2023-08-20 (117 days after the last request); Equipment B (infusion pump) repair record: First repair request: 2023-02-01, Second repair request: 2023-06-01 (120 days after the last request), Third repair request: 2023-12-01 (183 days after the last request); Equipment C (Ventilator) Repair Record: 1st repair request: 2023-05-01, 2nd repair request: 2023-05-28 (27 days after the last request), 3rd repair request: 2023-06-25 (28 days after the last request), 4th repair request: 2023-07-05 (10 days after the last request); Step 2: Calculate the "Number of Clustered Repair Reports" The system uses a 30-day threshold to analyze the interval between adjacent repair requests for each device. Equipment A: Number of clustered repair requests = 2; Equipment B: Number of clustered repair requests = 0; Equipment C: The interval between the 2nd, 3rd, and 4th repair requests is less than 30 days, and the number of clustered repair requests = 3. Step 3: Determine "Equipment Upgrade Required" Device A: If the number of clustered repair reports (2) is equal to the preset threshold (2), then it is determined to be a device requiring an update. Device B: If the number of clustered repair reports (0) is not greater than the preset threshold (2), then it is not a device requiring an update. Device C: If the number of clustered repair reports (3) is greater than the preset threshold (2), then it is determined to be a device requiring an update.

[0025] This method is more scientific and accurate than simply ranking by the total number of repair requests per year. Equipment B has 3 repair requests per year, but because it is evenly distributed, it is not considered a clustered equipment. Equipment A has 5 repair requests per year. Although the number of requests is high, the system identifies that its main problems are concentrated in a certain period of time, reaching the replacement standard. Equipment C has the fewest total repair requests per year (4 times), but it is more clustered.

[0026] Furthermore, the demand data for repair parts is determined based on the repair parts required when the equipment malfunctions.

[0027] In this embodiment, for equipment that frequently fails (clustered repair requests) and whose causes are highly concentrated (concentrated use of spare parts), its operational status is highly dependent on the continuous supply of a specific spare part. Once this spare part is in short supply, the equipment will immediately cease to function. Therefore, this type of equipment has the highest priority for replacement. Based on the distribution data of the aforementioned equipment in departments, departments with replacement needs can be screened.

[0028] Specifically, such as Figure 3 As shown, the method for determining the departments requiring updates is as follows: Based on the demand data for repair parts of the equipment requiring upgrades, determine the usage data for the repair parts of the equipment requiring upgrades; Based on the usage data, the number of times the equipment requiring replacement is used with different repair parts is determined. Based on the number of times the equipment requiring replacement is used with different repair parts, a usage matching factor between the equipment requiring replacement and different repair parts is determined. Matching factor: For a specific piece of equipment requiring replacement and a particular type of repair part, the proportion of times that part was used out of the total number of times all repair parts for that equipment were used. The formula is: Matching factor = (Number of times that part was used) / (Total number of times all parts for that equipment were used). Significance: This measure is the criticality of a single component in maintaining the operation of the equipment. The higher the factor, the more the equipment's "lifeline" depends on this single component, and the greater the risk of a shortage of this component during concentrated maintenance.

[0029] By using the matching factor of the use of different maintenance parts for the equipment in the department that needs to be updated, it can be determined whether the department is a department that needs to be updated.

[0030] It is understood that the matching factor is determined based on the proportion of the number of times the replacement device uses the repair parts to the total number of times the replacement device uses all repair parts.

[0031] It should be noted that the determination of whether a department requires replacement equipment is based on the matching factor of different repair parts usage for the equipment in need of replacement. Specifically, this includes: Equipment with replacement needs whose usage matching factors for different repair parts are all less than the preset matching factor threshold will be considered as equipment with parts requirements. Definition: A "renewal-requirement device" is marked as a "parts-requirement device" if at least one of its repair parts has a usage matching factor greater than a preset high threshold (e.g., 0.3). Significance: This type of device is a "high-risk single-point-dependent" device. They not only break down frequently, but each failure is almost always due to a problem with the same core component. This means: High supply chain risk: Hospitals must maintain high inventory levels for this specific part; if the supplier stops production, runs out of stock, or experiences logistical delays, the device becomes unusable. High operational risk: The operational continuity of this device is extremely fragile.

[0032] Based on the quantity of the required equipment, determine whether the department is a department with replacement needs.

[0033] Departments requiring upgrades: Departments possessing a certain number (e.g., ≥2 units) of the aforementioned "equipment requiring spare parts." Significance: The operational continuity of this department faces systemic risks. Multiple critical pieces of equipment rely on a few "critical" spare parts, and the entire department faces a significant risk of being paralyzed due to spare parts shortages. Equipment upgrades must be prioritized to mitigate this risk.

[0034] In one possible embodiment, if the device requiring the update has a matching factor greater than a preset threshold for repair parts, it indicates that the device requiring the update has a high degree of clustering of repair parts needed when it fails. Therefore, when facing clustered repairs, the lack of such repair parts when a failure occurs will affect the normal operation of the device requiring the update. Based on this, the device requiring the update is determined to be a device requiring parts.

[0035] Specifically, when the quantity of the required spare parts does not meet the requirements, and since the quantity of required spare parts is large, it is necessary to update the required spare parts in a targeted manner to ensure the normal operation of the department and avoid the impact of equipment failure. In this case, the department is identified as the department with the need for replacement.

[0036] In one possible embodiment, the department is determined to be a department with replacement needs when the number of required accessories is not less than three.

[0037] Based on identifying individual "equipment requiring upgrades," the risk is further assessed at the departmental level. The core idea is that if a department is filled with equipment with multiple complex failure modes and whose maintenance relies on a large number of different parts, then the risk of the entire department being paralyzed is extremely high, and therefore it should be prioritized as a key department for equipment upgrades.

[0038] Preset matching factor threshold: 0.3 (used to identify core faulty components with "single point of dependency"), component requirement equipment quantity threshold: 2 units. Step 1: Calculate the "Usage Matching Factor" for a single device: Suppose a hospital's intensive care unit (ICU) has three pieces of equipment that have been identified as "equipment in need of replacement" (i.e., equipment that has experienced clustered failures), and their maintenance parts usage records are as follows: Device A (patient monitor) total number of repairs: 8, parts used: motherboard (6 times), cable (2 times) Using matching factors: Motherboard: 6 / 8 = 0.75, Cable: 2 / 8 = 0.25 Analysis: There is a matching factor >0.3 for the component (motherboard). The operation of this monitor is highly dependent on the motherboard supply.

[0039] Equipment B (ventilator) Total number of repairs: 10; Parts used: turbine (1 time), sensor (2 times), circuit board (2 times), valve (5 times). Using matching factors: Valves: 5 / 10 = 0.5 (all others < 0.5) Analysis: No single accessory has a matching factor > 0.3. The ventilator's failure modes are relatively dispersed.

[0040] Equipment C (infusion pump), total number of repairs: 5, parts used: drive motor (4 times), power supply (1 time), matching factor calculation: drive motor: 4 / 5 = 0.8, power supply: 1 / 5 = 0.2 Analysis: The matching factor of the accessory (drive motor) is >0.3. The operation of this infusion pump is highly dependent on the drive motor supply.

[0041] Step 2: Identify "Equipment Required for Accessories": Judgment rule: If a "renewal-required device" has at least one accessory with a usage matching factor > 0.3, then it is a "accessory-required device". Device A (Patient Monitor): 0.75 > 0.3 -> Yes; Device B (Ventilator): Maximum 0.5 > 0.3 -> Yes; Device C (Infusion Pump): 0.8 > 0.3 -> Yes Conclusion: Equipment A and Equipment C in the ICU were marked as "equipment requiring accessories".

[0042] Step 3: Determine the "Department with Updating Needs" Statistics: The ICU has 3 units of "Equipment Accessories Needed" (equipment A, B, and C). Judgment: 3 units >= Quantity threshold (2 units), Decision: Yes. Therefore, the Intensive Care Unit (ICU) is identified as a "Department with Updating Needs".

[0043] Table 1. Identification results from different devices

[0044]

[0045] The final decision-making logic: The ICU has three "high-risk single-point-dependent" devices that have reached the system's alarm threshold. This means that the ICU's operational continuity depends on the stable supply of two specific components (the motherboard and the drive motor), a very fragile balance. Once the supply chain is disrupted, the department's operations will be severely impacted.

[0046] Therefore, the system identified the ICU as a "department requiring updates".

[0047] S2 uses the analysis results of the equipment repair data in the department with the update requirement to determine the repair interval of different equipment, and combines the equipment repair data to determine the identification and processing method of potential update targets among the equipment with update requirements in the department with the update requirement; Specifically, such as Figure 4 As shown, the method for determining the potential update target identification processing method is as follows: Based on the equipment repair data of various equipment in the department with the update requirements, determine the average interval between adjacent equipment repair times for the equipment, and use it as the average interval of the equipment. Mean interval duration: The average of all adjacent repair intervals for a single device, measuring the overall frequency of device failures. The smaller the mean, the more frequent the failures.

[0048] The average interval duration is used to identify equipment whose average interval duration does not meet the requirements, and these equipment are then screened for maintenance. Screening and repairing equipment: Those devices with an "average interval" of less than a certain threshold (i.e., "do not meet the requirements") are the most frequently malfunctioning and most unstable devices in the department, and are the primary candidates for replacement.

[0049] A method for identifying and processing potential upgrade targets among the upgrade-required equipment in the departments with upgrade requirements is used, based on the average interval duration of various devices and the composition data of the screened maintenance equipment.

[0050] Specifically, when the number of screened and repaired equipment exceeds the preset number of equipment, it is determined that all the equipment in the department with the update requirement belongs to the potential update target.

[0051] It should also be noted that when the number of screened and repaired equipment is not greater than the preset number of equipment, if the number of equipment reported for repair in the department with the need for updates does not meet the requirements, then all the equipment in the department with the need for updates is determined to be potential update targets.

[0052] Furthermore, when the number of devices with reported repair requests in the department that requires updates meets the requirements, a preset strategy is used to determine the potential update targets among the devices requiring updates in the department.

[0053] Specifically, a preset strategy is used to determine the potential upgrade targets among the equipment in the departments requiring upgrades, including: If the number of repair parts for the equipment requiring the update is less than the required number when the matching factor is greater than a preset factor threshold, then the equipment requiring the update will be considered a potential update target.

[0054] The purpose of this method is to further refine the selection of which equipment should be prioritized for replacement within a department already marked as having "upgrade needs." It determines whether to "replace all" or "precisely target" equipment by assessing the overall malfunction status of the equipment within the department.

[0055] In one specific embodiment, a hospital's Intensive Care Unit (ICU) has been identified by the system as a "department with upgrade needs." This department has 10 large pieces of equipment, 6 of which are "equipment with upgrade needs." The "potential upgrade targets" need to be identified from these 6 pieces.

[0056] System parameters: Average interval threshold: 60 days (used to define "screening and repairing equipment"), preset number of equipment: 3 units, threshold for the number of equipment reported for repair: 5 units (i.e., if more than 5 units of equipment in the department have broken down, the problem is considered widespread). Step 1: Calculate the "average interval duration" and identify the "screening equipment". Equipment to be screened for repair: Equipment A, Equipment C, Equipment D. Number of equipment to be screened for repair (average interval time less than the threshold of average interval time): 3 units.

[0057] Step 2: Determine the identification and processing method: First level of judgment: Condition: The number of equipment to be screened for repair (3) > the preset value of the number of equipment (3). Judgment: 3 is not greater than 3, the condition is not met. Proceed to the next level.

[0058] Second level of judgment: Condition: Does the number of devices in the department with reported repairs meet the requirement (i.e., number of reported repair devices > 5?) Given: The ICU has 10 devices, of which 6 have reported repairs. 6 > 5. Judgment: Yes, the requirement is met (number of reported repair devices is high). Proceed to the last floor.

[0059] Third-level decision-making: Since none of the above conditions triggered "replace all", the system used the "preset strategy" for precise positioning.

[0060] Step 3: Apply the "preset strategy" to accurately locate potential update targets. The preset strategy rule is: when the "number of repair parts with a matching factor greater than the preset factor threshold (e.g., 0.3)" of a "renewal-required device" does not meet the requirement (i.e., the number is less than 2), then the aforementioned update-required device is regarded as a potential update target.

[0061] Logic: This rule seeks out devices with highly concentrated causes of failure. If a device has only one (or none) dominant faulty component, it indicates a simple failure mode, a deep-rooted problem, and warrants priority replacement.

[0062] Final decision: Of the two pieces of equipment in the ICU that require replacement, the monitors with fewer than two motherboard components were identified as "potential replacement targets".

[0063] This approach ensures that, with limited resources, the department's upgrade budget can be used to replace equipment that is prone to failure and has inherent defects that cannot be resolved through routine maintenance, thus maximizing the benefits of upgrades.

[0064] S3 identifies the departments with update needs that have the potential update targets, and determines the replacement strategy for the potential update targets by combining the identification and processing methods of potential update targets in different update need departments and the matching situation with the use of maintenance parts.

[0065] Across the entire hospital, a decision is made regarding whether to replace a specific model of equipment (a potential replacement target). This decision is based on the equipment's performance ranking across multiple departments using it (matching replacement departments), thus avoiding technical problems arising from simultaneously replacing all equipment and resulting in poor equipment stability.

[0066] Specifically, determining the replacement processing strategy for the potential update target includes: The departments with the potential update needs are designated as matching update departments. Based on the composition data of the potential update targets in the matching update departments, the number of potential update targets in the matching update departments is determined, and the matching factors of potential update targets in different matching update departments with the use of different maintenance parts are determined. Based on the matching factors of different maintenance parts in different matching and updating departments, the number of maintenance parts with matching factors greater than the preset factor threshold is determined. The ranking results are obtained by sorting the potential updating targets in different matching and updating departments from largest to smallest based on the number of maintenance parts with matching factors greater than the preset factor threshold. Based on the ranking results in different matching and updating departments, and combined with the identification and processing methods for potential updating targets in different matching and updating departments, the replacement processing strategy for the potential updating targets is determined.

[0067] Background: The hospital's equipment department needs to decide whether to replace a widely used, older model "Alpha monitor." This monitor is a "potential replacement target" in three departments (ICU, Cardiology, and Emergency Department), all of which are "matching replacement departments."

[0068] System parameters: Preset value for the number of matching departments: 2 (for scenarios 2 and 3), Preset threshold for the number of departments: 1 (for scenario 3). Step 1: Data Preparation and Sorting The system analyzes the fault data of the "Alpha monitor" across three departments, with the key indicator being the "number of repair parts with a matching factor > 0.3" (a higher number indicates a more concentrated fault and a more severe problem). Then, within each department, these numbers are sorted from highest to lowest.

[0069] Table 2 Basic Data

[0070]

[0071] Scenario 1: When there is a matching department with the largest sorting result for the potential update target, it is determined that the potential update target needs to be replaced.

[0072] Check if the department ranked #1 is Cardiology (ranked #1). Decision: If condition 1 is met, immediately determine to replace the Alpha monitor.

[0073] Scenario 2: When there is no matching department with the largest sorting result for the potential update target, the number of matching departments that meet the requirements for the sorting result of the potential update target is determined. When the number of matching departments that meet the requirements for the sorting result of the potential update target is not less than the preset value of the number of matching departments, it is determined that the potential update target needs to be replaced.

[0074] Example of Scenario 2: General Excellence System: When a potential update target ranks in the top 50% of more than half of the matching update departments, a decision is made to replace it.

[0075] Table 3 Data assessing the replacement need for "Beta ventilators"

[0076]

[0077] Decision-making process: Check situation 1: No first-ranked department, count the number of the top 50% of departments: 2 (cardiology, respiratory medicine), judgment: 2 is not less than the preset value of the number of matching departments (2), decision: meets situation 2, determine to replace the Beta ventilator.

[0078] Case 3: When the number of matching update departments that meet the requirements of the sorting results of the potential update target is not greater than the preset value of the number of matching departments, the update demand weight coefficient of different matching update departments is determined by the identification and processing method of potential update targets of different matching update departments. Based on the sorting results and update demand weight index in different matching update departments, it is determined whether the potential update target needs to be replaced.

[0079] Specifically, based on the ranking results in different matching update departments and the update demand weight index, it is determined whether the potential update target needs to be replaced, including: Based on the ranking results in different matching update departments, the update demand factors in different matching update departments are determined. Based on the sum of the products of the update demand factors and the update demand weight index in different matching update departments, when the sum of the products of the update demand factors and the update demand weight index in different matching update departments is greater than a preset demand threshold, it is determined that the potential update target needs to be replaced.

[0080] Scenario 3 Example: Comprehensive Evaluation System Condition: When none of the above conditions are met, a weighted scoring method shall be used for comprehensive evaluation.

[0081] Scenario: Assess the need to replace the "Delta injection pump".

[0082] Weighting rules: Preset strategy department weight = 1.0, all departments weight = 0.5; Table 4 Calculation results of the updated demand factor

[0083]

[0084] Decision-making process: Inspection Scenario 1: No first place. Inspection Scenario 2: Number of departments in the top 50% = 1 (General Surgery), does not meet the requirement of ≥2. Enter Scenario 4: Calculate the weighted total score. Cardiology: 0.4 × 1.0 = 0.4, Respiratory Medicine: 0.33 × 1.0 = 0.33, General Surgery: 0.75 × 0.5 = 0.375, Total Score = 0.4 + 0.33 + 0.375 = 1.105. Judgment: 1.105 > preset demand threshold (1.0)? Yes, meets Scenario 3, confirm replacement of Delta infusion pump.

[0085] Example 2 Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described method for monitoring and analyzing repair data for a medical system when running the computer program.

[0086] Specifically, the method for determining the potential update target is as follows: Based on the equipment repair data of various equipment in the department with the update requirements, determine the average interval between adjacent equipment repair times for the equipment, and use it as the average interval of the equipment. Based on the usage data, the number of times the equipment requiring replacement is used with different repair parts is determined. Based on the number of times the equipment requiring replacement is used with different repair parts, a usage matching factor between the equipment requiring replacement and different repair parts is determined. By utilizing the average interval duration of various devices, the matching factor between the devices requiring updates and the different maintenance parts, potential update targets among the devices requiring updates in the departments with update needs are identified.

[0087] It should be noted that when the number of devices with reported repair requests in the department requiring upgrades is less than a preset device number threshold, the devices in the department requiring upgrades are operating relatively stably. Therefore, based on this, a preset strategy is used to determine the potential upgrade targets among the devices requiring upgrades in the department requiring upgrades.

[0088] Additionally, it is understood that when the number of devices with reported repairs in the department requiring upgrades is not less than a preset device number threshold, it is necessary to further determine whether the number of devices with reported repairs in the department requiring upgrades meets the requirements. If the number of devices with reported repairs in the department requiring upgrades does not meet the requirements, then it is determined that all devices in the department requiring upgrades are potential upgrade targets.

[0089] Furthermore, when the number of devices reporting for repair meets the requirements, it is also necessary to determine the average of the interval durations of different devices. When the average of the interval durations of different devices in the department requiring upgrades is less than the preset duration threshold, it indicates that the average maintenance interval of the devices in the department requiring upgrades is short and the operational stability is poor. Therefore, based on this, it is determined that all the devices requiring upgrades in the department requiring upgrades are potential upgrade targets.

[0090] Furthermore, it is understood that when the average of the interval durations of different devices in the department requiring updates is less than a preset duration threshold, the number of devices with an average interval duration less than the preset duration threshold is determined. If the number of devices with an average interval duration not meeting the requirements is greater than a preset number of devices, then all the devices requiring updates in the department requiring updates are determined to be potential update targets.

[0091] It should be noted that when the number of devices whose average interval duration does not meet the requirements is not greater than the preset number of devices, the potential update targets among the update-required devices of the department with update requirements are determined based on the number of devices whose average interval duration does not meet the requirements.

[0092] In one possible specific embodiment, the device is determined to be a device whose average interval duration does not meet the requirements. When the number of devices whose average interval duration does not meet the requirements is not greater than a preset device number threshold, the potential update targets among the update-required devices of the department with update requirements are determined based on the number of devices whose average interval duration does not meet the requirements.

[0093] Specifically, a preset strategy is used to determine the potential upgrade targets among the equipment in the departments requiring upgrades, including: If the number of repair parts for the equipment requiring the update is less than the required number when the matching factor is greater than a preset factor threshold, then the equipment requiring the update will be considered a potential update target.

[0094] Specifically, based on the number of devices whose average interval duration does not meet the requirements, potential replacement targets are determined among the replacement-required devices in the departments with replacement needs, including: The replacement quantity is determined based on the product of the number of devices whose average interval duration does not meet the requirements and a preset proportional factor; Based on the number of repair parts with matching factors greater than a preset factor threshold, the equipment with update requirements is sorted from largest to smallest to obtain the sorting result. The device with the largest number of replacements in the sorting results is selected as the potential update target.

[0095] In one possible embodiment, the preset scaling factor is one-half.

[0096] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0097] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0098] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A method for monitoring and analyzing repair data in a medical system, characterized in that, Specifically, it includes: Based on the monitoring and analysis results of equipment repair data, identify the equipment in need of replacement. Based on the equipment repair data of the equipment in need of replacement in the departments, determine the matching of repair parts with the equipment in need of replacement. Based on the matching of usage, determine the departments in need of replacement. Based on the analysis results of the equipment repair data in the department with the update requirement, the repair interval of different equipment is determined, and in combination with the equipment repair data, the identification and processing method of potential update targets among the equipment with update requirements in the department with the update requirement is determined. Identify the departments with update needs that have the potential update targets, and determine the replacement strategy for the potential update targets by combining the identification and processing methods of potential update targets in different update-demanding departments and the matching situation with the use of maintenance parts.

2. The method for monitoring and analyzing repair data in a medical system as described in claim 1, characterized in that, The method for determining the equipment requiring upgrades in the aforementioned equipment is as follows: Based on the equipment repair data, determine the interval between different adjacent equipment repair calls; Based on the interval between the number of repair reports of the device and the number of repair reports of the previous adjacent device, the number of repair reports of devices whose interval between the number of repair reports of adjacent devices is less than a preset interval threshold is determined and used as the number of clustered repair reports. The number of reported repairs is used to determine whether the device is in need of replacement.

3. The method for monitoring and analyzing repair data in a medical system as described in claim 2, characterized in that, When the number of clustered repair requests exceeds a preset threshold, the device is determined to be a device requiring replacement.

4. The method for monitoring and analyzing repair data in a medical system as described in claim 1, characterized in that, The method for determining the identification and processing method of the potential update target is as follows: Based on the equipment repair data of various equipment in the department with the update requirements, determine the average interval between adjacent equipment repair times for the equipment, and use it as the average interval of the equipment. The average interval duration is used to identify equipment whose average interval duration does not meet the requirements, and these equipment are then screened for maintenance. By using the average interval duration of various devices and the composition data of the screened maintenance equipment, potential replacement targets among the replacement-required devices in the departments with replacement needs are identified.

5. The method for monitoring and analyzing repair data in a medical system as described in claim 4, characterized in that, When the number of screened maintenance devices exceeds the preset number of devices, it is determined that all the devices in the department with the update requirement are potential update targets.

6. The method for monitoring and analyzing repair data in a medical system as described in claim 4, characterized in that, When the number of screened and repaired equipment is not greater than the preset number of equipment, if the number of equipment reported for repair in the department with the need for updates does not meet the requirements, then it is determined that all the equipment in the department with the need for updates belongs to the potential update targets.

7. The method for monitoring and analyzing repair data in a medical system as described in claim 6, characterized in that, When the number of devices with reported repair requests in the department that requires updates meets the requirements, a preset strategy is used to determine the potential update targets among the devices requiring updates in the department.

8. The method for monitoring and analyzing repair data in a medical system as described in claim 7, characterized in that, Using a preset strategy, potential upgrade targets in the equipment upgrade needs of the departments with upgrade requirements are identified, specifically including: If the number of repair parts for the equipment requiring the update is less than the required number when the matching factor is greater than a preset factor threshold, then the equipment requiring the update will be considered a potential update target.

9. The method for monitoring and analyzing repair data in a medical system as described in claim 1, characterized in that, Determining the replacement processing strategy for the potential update target specifically includes: The departments with the potential update needs are designated as matching update departments. Based on the composition data of the potential update targets in the matching update departments, the number of potential update targets in the matching update departments is determined, and the matching factors of potential update targets in different matching update departments with the use of different maintenance parts are determined. Based on the matching factors of different maintenance parts in different matching and updating departments, the number of maintenance parts with matching factors greater than the preset factor threshold is determined. The ranking results are obtained by sorting the potential updating targets in different matching and updating departments from largest to smallest based on the number of maintenance parts with matching factors greater than the preset factor threshold. Based on the ranking results in different matching and updating departments, and combined with the identification and processing methods for potential updating targets in different matching and updating departments, the replacement processing strategy for the potential updating targets is determined.

10. A computer system, comprising: A memory and processor connected by communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes a method for monitoring and analyzing repair data for a medical system as described in any one of claims 1-9.

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