Equipment allocation method and system for medical equipment allocation room

Abstract

The invention relates to the technical field of medical facilities, and discloses an equipment allocation method and system for a medical equipment allocation room. The method comprises the following steps: configuring an RFID tag for equipment, monitoring the position of the equipment in real time, automatically checking inventory equipment, monitoring the use state of the equipment by adopting an abnormal detection model, calculating the aging index of the equipment in combination with the purchase date of the equipment, and automatically sending alarm information when the equipment leaves a medical equipment allocation room for a time exceeding a set time and is not returned. And full-life-cycle management of the medical equipment from purchase to use is realized. According to the invention, the management efficiency of the medical equipment allocation room is improved, the effective utilization of the equipment is ensured, the risk of loss or damage of the equipment is reduced, the abnormal condition of the equipment can be found in time, and powerful support is provided for the maintenance and management of the medical equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of medical facilities, and in particular to an equipment deployment method and system for a medical equipment deployment room. Background Art

[0002] In today's medical field, efficient deployment and management of medical equipment within medical institutions is particularly important, because it is directly related to the quality and efficiency of medical services. However, traditional medical equipment management methods often face a series of challenges, such as difficulty in tracking the real-time location of equipment, inefficient inventory, and the complexity of equipment borrowing and returning processes. The existence of these problems not only easily leads to the loss of medical equipment, but also may reduce the efficiency of equipment use, resulting in a waste of resources. Therefore, developing a set of standardized management processes is crucial to improving the overall level of medical services. Summary of the invention

[0003] In view of this, the present invention proposes an equipment deployment method and system for a medical equipment deployment room, aiming to achieve accurate tracking, efficient deployment and intelligent management of medical equipment through automated and intelligent means.

[0004] The present invention proposes an equipment deployment method for a medical equipment deployment room, comprising: All devices are equipped with unique RFID tags, wherein the tag information of the RFID tags includes device ID, category and purchase date; The tag information is stored in a unified format, and a device classification standard is formulated according to the function and usage scenario of the device, and each type of device is set with a unique category code; Medical staff enter the medical equipment preparation room through the access control system, which automatically identifies the identity of the person and records the person's ID and entry time; the medical staff selects the equipment, records the equipment ID, borrowing time and borrower ID; when the equipment leaves the room, the RFID tag of the equipment is detected to confirm that the equipment has been borrowed; Medical staff return the equipment to the medical equipment allocation room, detect the equipment RFID tag, record the equipment ID, return time and returner ID; after the equipment is put into storage, update the equipment status to "available"; Scan the equipment RFID tag regularly in minutes to update the equipment location information; when the equipment leaves the medical equipment allocation room, the equipment location is automatically recorded as "borrowed"; The inventory equipment is automatically counted regularly in hours and an inventory report is generated; the inventory report includes the total number of equipment, the number of available equipment, the number of loaned equipment and the number of abnormal equipment, and the relationship between the total number of equipment, the number of available equipment, the number of loaned equipment and the number of abnormal equipment satisfies: ; Among them, N t Indicates the total number of devices; N a Indicates the number of available devices; N b Indicates the number of loaned devices; N e Indicates the number of abnormal devices.

[0005] Preferably, the borrowing time of the device is affected by the device type and the usage scenario, and the recommended borrowing time of the device is calculated based on historical borrowing data: ; Among them, T b Indicates the recommended borrowing duration; M indicates the number of borrowings in the past D days, T bi Indicates the i-th borrowing duration.

[0006] Preferably, the equipment utilization efficiency is quantitatively analyzed and the equipment utilization rate is defined as: ; Where U represents the actual usage time of the device; T u Indicates the actual usage time of the device; T op Indicates the operational time of the device; If the actual usage time U is lower than the set usage time threshold U th , it indicates that the device is in idle state.

[0007] Preferably, an anomaly detection model is used to monitor the usage status of the equipment and calculate the anomaly rate Pe: ; Among them, P e represents the abnormality rate; When the abnormal rate P e Exceeding the set abnormal rate threshold P eth When the abnormal device inspection process is triggered.

[0008] Preferably, the inventory warning of the equipment is based on the equipment availability, and the calculation formula is as follows: ; Among them, R a Indicates equipment availability; When R a Below the set threshold R th When the inventory is exceeded, an inventory warning is triggered.

[0009] Preferably, the delay in returning the equipment is evaluated, and the overdue return rate of the equipment is defined as follows: ; Among them, R o represents the overdue return rate; N oIndicates the number of devices returned overdue; If the overdue return rate R o Exceeding the set overdue return rate threshold R oth When the system returns the data, it prompts that the return management is abnormal.

[0010] Preferably, intelligent algorithms are used to optimize equipment allocation, and equipment allocation priorities are calculated based on historical equipment borrowing data, usage frequency, and availability: ; Among them, P d Indicates the device allocation priority; w 1 、w 2 、w 3 They represent weight factors respectively; U represents the actual usage time of the device; According to the deployment priority P d Optimize equipment storage location and deployment strategy based on the size of the device.

[0011] Preferably, the aging index of the equipment is calculated in combination with the purchase date of the equipment: ; Where A represents the aging index; T c Indicates the current time; T p Indicates the time of equipment purchase; T life Indicates the expected service life of the equipment; if the aging index A exceeds the set aging index threshold A th When the device needs to be replaced or maintained.

[0012] Preferably, when the equipment leaves the medical equipment dispensing room for more than a set time and is not returned, an alarm message is automatically sent to the management staff.

[0013] The present invention also proposes an equipment deployment system for a medical equipment deployment room, comprising: RFID tag module, used to configure a unique RFID tag for each device and store the device ID, category, and purchase date; Database module, used to store equipment tag information, borrowing records, return records, and inventory status; Identity recognition module, used to identify the identity of medical staff and record the personnel ID and entry time; The device tracking module is used to scan the RFID tag once and update the device location in real time; The borrowing and returning management module is used to record the borrowing and returning information of equipment and update the equipment status; Automatic inventory counting module, used to perform inventory counting and generate inventory counting reports; Anomaly detection module, which is used to monitor the usage of equipment, calculate the anomaly rate and trigger anomaly checks; The intelligent deployment module is used to optimize device deployment strategies, calculate deployment priorities, and adjust device configurations.

[0014] Compared with the prior art, the present invention has the following beneficial effects: Intelligent equipment management: Through RFID tag technology, the unique identity recognition and real-time status tracking of equipment can be achieved, greatly improving the automation level of equipment management.

[0015] Process standardization and simplification: The systematic borrowing and returning process makes it more convenient for medical staff to operate, while reducing human operational errors and improving equipment deployment efficiency.

[0016] Dynamic allocation and optimization: Introduce equipment allocation priority and storage priority calculation formulas to achieve dynamic adjustment of equipment storage locations and optimize equipment utilization efficiency and space management.

[0017] Real-time monitoring and automatic inventory: Real-time monitoring of equipment status, automatic daily inventory of equipment, timely detection of abnormal equipment, and reduction of the risk of equipment loss and detention.

[0018] Data-driven decision support: By analyzing equipment usage data and deployment priorities, the system can provide intelligent recommendations for equipment replenishment and maintenance, helping hospitals make scientific decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings: Figure 1 A flow chart of a device allocation method for a medical device allocation room; Figure 2 The functional block diagram of the equipment dispensing system used in the medical equipment dispensing room. DETAILED DESCRIPTION

[0020] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0021] See also Figure 1This embodiment provides a device allocation method for a medical device allocation room, comprising: All devices are equipped with unique RFID tags, wherein the tag information of the RFID tags includes device ID, category and purchase date; The tag information is stored in a unified format, and a device classification standard is formulated according to the function and usage scenario of the device, and each type of device is set with a unique category code; Equipment borrowing: Medical staff enter the medical equipment preparation room through the access control system, which automatically identifies the identity of the person and records the person's ID and entry time; the medical staff selects the equipment, records the equipment ID, borrowing time and borrower ID; when the equipment leaves the room, the RFID tag of the equipment is detected to confirm that the equipment has been borrowed; Equipment return: Medical staff returns the equipment to the medical equipment allocation room, detects the equipment RFID tag, records the equipment ID, return time and returner ID; after the equipment is put into storage, the equipment status is updated to "available"; Real-time monitoring: Scan the device RFID tag regularly in minutes to update the device location information; when the device leaves the medical equipment allocation room, the device location is automatically recorded as "borrowed"; Automatic inventory: Regularly and automatically count the inventory equipment in units of hours and generate an inventory report; the inventory report includes the total number of equipment, the number of available equipment, the number of loaned equipment, and the number of abnormal equipment. The relationship between the total number of equipment, the number of available equipment, the number of loaned equipment, and the number of abnormal equipment satisfies: ; Among them, N t Indicates the total number of devices; N a Indicates the number of available devices; N b Indicates the number of loaned devices; N e Indicates the number of abnormal devices.

[0022] It can be seen that this embodiment proposes an innovative medical equipment deployment method, which is specifically suitable for efficient management of a medical equipment deployment room. The specific steps are as follows: First, all equipment in the medical equipment allocation room is equipped with unique RFID tags. These RFID tags contain the unique identification code of the equipment, namely the equipment ID, as well as detailed information such as the equipment category information and purchase date; Next, the tag information is stored in a unified format. In order to better manage these devices, a detailed set of equipment classification standards is developed based on the functional characteristics and usage scenarios of the equipment, and a unique category code is assigned to each category of equipment; When medical staff need to borrow equipment, they can enter the medical equipment preparation room through the access control system. The access control system automatically identifies the identity of the medical staff and records their personnel ID and the time they entered the preparation room. After selecting the required equipment, the medical staff needs to record the equipment ID, borrowing time and their own personnel ID. When the equipment leaves the preparation room, the system will detect the RFID tag on the equipment to confirm that the equipment has been borrowed; When the medical staff has finished using the equipment and is ready to return it, they will bring the equipment back to the medical equipment preparation room. The system will detect the RFID tag on the equipment again and record the equipment ID, return time and returner ID. After the equipment is returned and put into storage, the system will update the status of the equipment to "available"; In order to monitor the status and location of the equipment in real time, the system will perform regular scans every minute to update the location information of the equipment. Once the equipment leaves the medical equipment allocation room, the system will automatically record the location of the equipment as "borrowed"; In addition, the system will conduct regular automatic inventory counts every hour to ensure the accuracy of the number and status of inventory devices. Through this process, the system can generate a detailed inventory report including the total number of devices, available devices, loaned devices and abnormal devices.

[0023] It can be understood that this embodiment provides an innovative way to manage medical equipment, which not only greatly improves the operational efficiency of the medical equipment allocation room, but also ensures the accuracy and safety of medical equipment management. By equipping medical equipment with RFID tags and combining advanced automatic identification technology, rapid borrowing, return and real-time monitoring of equipment are achieved. This management method not only simplifies the process of equipment allocation and reduces human errors, but also improves the utilization rate and management efficiency of medical equipment. At the same time, the regular automatic inventory function ensures the accuracy and completeness of inventory equipment, providing strong support for the maintenance and management of medical equipment.

[0024] In some embodiments of the present application, the borrowing duration of the device is affected by the device type and the usage scenario, and the recommended borrowing duration of the device is calculated based on historical borrowing data: ; Among them, T b Indicates the recommended borrowing duration; M indicates the number of borrowings in the past D days, T bi Indicates the i-th borrowing duration.

[0025] It can be seen that this embodiment further considers the borrowing time of the equipment, which is a key factor affecting the efficiency of medical equipment deployment. In order to optimize the use and deployment of equipment, this embodiment proposes a method for calculating the recommended borrowing time of equipment based on historical borrowing data.

[0026] Specifically, we analyze the number of times each type of device has been borrowed and the duration of each borrowing within a certain number of days (e.g., D days) in the past. Through statistical analysis of these data, we can derive the average borrowing duration of each type of device and use it as the recommended borrowing duration for that type of device.

[0027] This data-driven recommended borrowing duration setting can not only more accurately reflect the actual use needs of the equipment, but also effectively avoid excessive borrowing or idleness of equipment, thereby further improving the utilization rate and management efficiency of medical equipment. In this way, we can not only ensure the reasonable allocation and use of medical equipment, but also provide medical staff with more convenient and efficient equipment borrowing and return services.

[0028] It can be understood that this embodiment provides a more refined and intelligent solution for the allocation and management of medical equipment by comprehensively considering the type of equipment, usage scenarios and historical borrowing data. This innovative equipment allocation method not only optimizes the allocation of medical resources, but also improves the efficiency and quality of medical services, making a positive contribution to the development of modern medical care.

[0029] In some embodiments of the present application, the utilization efficiency of the equipment is quantitatively analyzed, and the equipment utilization is defined as: ; Where U represents the actual usage time of the device; T u Indicates the actual usage time of the device; T op Indicates the operational time of the device; If the actual usage time U is lower than the set usage time threshold U th , it indicates that the device is in idle state.

[0030] It can be seen that this embodiment further introduces quantitative analysis of equipment utilization efficiency, which is another important measure for the refinement of medical equipment management. In order to more accurately grasp the use status of equipment, this embodiment proposes the definition of equipment utilization rate, that is, the ratio of the actual use time of the equipment to the operable time of the equipment. This indicator can intuitively reflect the use efficiency of the equipment and help us to timely discover and deal with the idle problem of equipment.

[0031] When the actual usage time of a device is lower than a certain threshold we set, the system will automatically prompt that the device is idle. Such prompts can not only help us to know which devices are not fully utilized in time, but also prompt us to take corresponding measures, such as adjusting the device allocation strategy, optimizing the device usage process, etc., to improve the utilization rate of the device and avoid waste of resources.

[0032] Through this quantitative analysis method, we can manage medical equipment more scientifically and rationally, ensure that each device can be fully utilized, and provide strong support for medical services. This innovative medical equipment management method will undoubtedly further improve the efficiency and quality of medical services and safeguard the health of patients.

[0033] It can be understood that this embodiment provides strong data support for the refined management of medical equipment by introducing quantitative analysis of equipment utilization. This measure not only enhances the scientific nature of medical equipment management, but also improves the pertinence and effectiveness of management. Through continuous monitoring and analysis of equipment utilization, we can promptly discover and solve problems in equipment use and ensure the optimal configuration and efficient use of medical equipment. This data-driven medical equipment management method has undoubtedly injected new vitality and impetus into the development of modern medical care.

[0034] In some embodiments of the present application, an abnormality detection model is used to monitor the usage status of the device and calculate the abnormality rate Pe: ; Among them, P e represents the abnormality rate; When the abnormal rate P e Exceeding the set abnormal rate threshold P eth When the abnormal device inspection process is triggered.

[0035] It can be seen that this embodiment also introduces a more advanced device status monitoring method, that is, using an abnormality detection model to monitor the device usage status in real time and calculate the abnormality rate. This innovative measure undoubtedly provides a more solid guarantee for the safe and efficient operation of medical equipment.

[0036] Specifically, the anomaly detection model can timely detect abnormal conditions in the use of equipment, such as abnormal vibration, abnormal temperature, etc., through real-time analysis of equipment operation data, and calculate the corresponding abnormality rate. When the abnormality rate exceeds a certain threshold we set, the system will automatically trigger the abnormal equipment inspection process and remind relevant personnel to promptly inspect and maintain the equipment.

[0037] This device status monitoring method based on anomaly detection model can not only greatly improve the efficiency of discovering and handling equipment failures, but also effectively avoid medical accidents or safety hazards caused by equipment failures. In this way, we can not only ensure the continuous and stable operation of medical equipment, but also provide medical staff with a safer and more reliable equipment use environment.

[0038] It is understandable that this embodiment provides a more intelligent and accurate solution for the status monitoring and fault warning of medical equipment by introducing an abnormality detection model. This innovative measure will undoubtedly further improve the reliability and safety of medical equipment and provide more powerful support for the development of modern medical care.

[0039] In some embodiments of the present application, the inventory warning of the equipment is based on the equipment availability, and the calculation formula is as follows: ; Among them, R a Indicates equipment availability; When R a Below the set threshold R th When the inventory is exceeded, an inventory warning is triggered.

[0040] It can be seen that this embodiment also takes into account the problem of medical equipment inventory management, and introduces the concept of equipment availability. Equipment availability, as an important indicator to measure the inventory status of medical equipment, is calculated based on the ratio of the equipment's operable time to the total time. When the equipment availability is lower than a certain threshold we set, the system will automatically trigger an inventory warning, prompting us that the inventory of the equipment may be insufficient and needs to be replenished in time.

[0041] This innovative measure not only helps us to more accurately grasp the inventory status of medical equipment, but also avoids interruptions or delays in medical services due to insufficient equipment inventory. Through continuous monitoring and analysis of equipment availability, we can predict the demand trend of equipment in advance, formulate reasonable procurement plans, and ensure adequate supply of medical equipment. This data-driven inventory management method undoubtedly provides a more effective means for the scientific management of medical equipment. At the same time, it also provides us with more reliable and efficient medical services, meeting the health needs of the majority of patients.

[0042] It is understandable that this embodiment provides a more systematic and scientific solution for the comprehensive management of medical equipment by comprehensively considering multiple dimensions such as equipment utilization, abnormality detection, and equipment availability. These innovative management strategies not only enhance the flexibility and accuracy of medical equipment deployment, but also improve the safety and reliability of medical equipment use. In practical applications, these strategies can significantly optimize the allocation of medical resources, improve the efficiency and quality of medical services, and bring patients a better and more efficient medical service experience. At the same time, the implementation of these strategies has further promoted the modernization of medical equipment management and injected new vitality and impetus into the sustainable and healthy development of the medical industry.

[0043] In some embodiments of the present application, the delay in returning the device is evaluated, and the overdue return rate of the device is defined as follows: ; Among them, R o represents the overdue return rate; N o represents the number of devices with overdue returns; If the overdue return rate R o exceeds the set overdue return rate threshold R oth , a return management exception is prompted.

[0044] It can be seen that this embodiment also focuses on the device return management problem in the medical device allocation room. In actual operation, the timely return of devices is crucial for ensuring the turnover rate and utilization rate of medical devices. However, due to various reasons, such as the busy work of medical staff and improper use of devices, the situation of delayed device returns occurs from time to time. To effectively solve this problem, this embodiment introduces the concept of the overdue return rate of devices. By statistically analyzing the device return situation, the overdue return rate is calculated, which is used as an important indicator to evaluate the effect of device return management.

[0045] Specifically, the overdue return rate of devices refers to the ratio of the number of devices that have not been returned beyond the specified return time to the total number of returned devices. When this ratio exceeds a certain threshold we set, the system will prompt a return management exception, reminding relevant personnel to pay timely attention to and handle the problem of delayed device returns. This measure can not only help us promptly discover and solve the loopholes in device return management, but also improve the turnover efficiency of medical devices and ensure the smooth progress of medical services.

[0046] In this way, this embodiment provides a more detailed and comprehensive solution for the overall management of the medical device allocation room. Whether it is device status monitoring, inventory management or return management, they have all been effectively optimized and improved. These innovative management strategies not only improve the use efficiency and safety of medical devices, but also provide strong support for the continuous improvement and optimization of medical services.

[0047] It can be understood that this embodiment provides a new solution idea for the return management problem in the medical device allocation room by introducing the evaluation index of the overdue return rate of devices. The establishment of this index enables us to more intuitively understand the situation of delayed device returns, so as to take timely measures, such as strengthening the supervision of the return process and improving the return awareness of medical staff, to reduce the phenomenon of delayed device returns and improve the turnover efficiency of devices. This data-driven return management method undoubtedly provides a more refined means for the scientific management of medical devices. At the same time, it also provides us with a more efficient and convenient medical service, meeting the actual needs of medical work.

[0048] In some embodiments of the present application, intelligent algorithms are used to optimize equipment allocation, and equipment allocation priorities are calculated based on historical borrowing data, usage frequency, and availability of equipment: ; Among them, P d Indicates the device allocation priority; w 1 、w 2 、w 3 They represent weight factors respectively; U represents the actual usage time of the device; According to the deployment priority P d Optimize equipment storage location and deployment strategy based on the size of the device.

[0049] It can be seen that this embodiment further enhances the intelligence and automation level of medical equipment allocation. In the medical equipment allocation room, the efficiency of equipment allocation is directly related to the efficiency and quality of medical services. In order to further improve the accuracy and efficiency of equipment allocation, this embodiment introduces an intelligent algorithm to calculate the equipment allocation priority through in-depth analysis of the equipment's historical borrowing data, usage frequency, and availability. The calculation of this priority takes into account multiple dimensions, including the actual needs of the equipment, usage habits, and available status, etc., to ensure the rationality and scientific nature of the allocation strategy.

[0050] It can be understood that this embodiment not only realizes the automation of equipment allocation through the application of intelligent algorithms, but also greatly improves the accuracy and efficiency of allocation. Specifically, the intelligent algorithm will predict the future equipment demand trend based on the historical borrowing data of the equipment; at the same time, combined with the frequency of use and availability of the equipment, it comprehensively considers the actual needs and usage habits of the equipment, and calculates a deployment priority for each device. The setting of this priority enables us to give priority to those equipment with high demand, high frequency of use and good availability when allocating equipment, thereby ensuring the smooth progress of medical services. In addition, according to the size of the allocation priority, we can also optimize the storage location of the equipment, place high-priority equipment in a more accessible location, and further improve the efficiency of equipment allocation. This equipment allocation method based on intelligent algorithms undoubtedly provides a more intelligent means for the scientific management of medical equipment, and also provides strong support for the continuous improvement and optimization of medical services.

[0051] In some embodiments of the present application, the storage location and deployment strategy of the equipment are automatically adjusted according to the priority, including: The equipment storage area is divided into high-frequency area, conventional area and low-frequency area, where: The high-frequency area is located near the entrance or in a convenient location, and is used to store the equipment with the highest deployment priority, that is, the equipment with high frequency of use, low availability, and high return delay rate; The general area is used to store and allocate equipment with medium priority to meet daily use needs; The low-frequency area is far away from the entrance or inconvenient to access, where equipment with low frequency of use or not used for a long time is stored; The system recalculates the deployment priority based on the latest equipment usage data every day, and adjusts the equipment storage location after automatic inventory to ensure that high-priority equipment is always in the high-frequency area; The storage priority score Sp of the device is calculated using the following formula: ; Among them, Pd indicates the equipment allocation priority; Tr indicates the last time the equipment was returned; Tb indicates the recommended borrowing time. represents the timeliness of equipment return; A represents the equipment aging index; α, β, γ represent adjustable weight parameters, which are set according to the hospital management strategy; Automatically generate equipment storage adjustment suggestions based on the size of Sp; When the allocation priority of a device exceeds the allocation priority threshold Pth for more than N consecutive days, it is recommended to increase the corresponding device inventory or consider purchasing new equipment; Regularly evaluate the effectiveness of the equipment deployment optimization strategy, optimize the weight parameters α, β, and γ by comparing the changes in equipment utilization efficiency and borrowing delay rate before and after adjustment, and achieve continuous optimization.

[0052] It can be seen that this embodiment further considers the optimization of the equipment storage location and deployment strategy. In the medical equipment deployment room, the storage location and deployment strategy of the equipment are directly related to the efficiency of medical staff's use and the smooth progress of medical services. In order to further improve the efficiency of equipment use and the convenience of medical staff's use, this embodiment automatically adjusts the storage location and deployment strategy of the equipment according to the deployment priority of the equipment.

[0053] Specifically, we divide the equipment storage area into high-frequency area, regular area and low-frequency area. The high-frequency area is located near the entrance or in a convenient location, and is used to store equipment with the highest deployment priority. These equipment are usually used frequently, have low availability and high return delay rates, and their supply needs to be prioritized. The regular area stores equipment with medium deployment priority to meet daily use needs. The low-frequency area is located far away from the entrance or in a location that is inconvenient to access, and is used to store equipment that is used less frequently or has not been used for a long time, so as to reduce the occupancy of the high-frequency area and the regular area.

[0054] The system recalculates the allocation priority based on the latest equipment usage data every day, and adjusts the equipment storage location after automatic inventory to ensure that high-priority equipment is always in a high-frequency area for quick access by medical staff. In addition, we also use a complex calculation formula to calculate the storage priority score of the equipment, taking into account multiple factors such as the equipment's allocation priority, the last return time, the recommended borrowing time, and the equipment aging index to ensure the rationality of the equipment storage location.

[0055] When the allocation priority of a device exceeds the set threshold for more than a certain number of consecutive days, the system will recommend increasing the inventory of the corresponding equipment or considering purchasing new equipment to meet the growing medical needs. At the same time, we will also regularly evaluate the effectiveness of the equipment allocation optimization strategy, and continuously optimize the weight parameters by comparing the changes in equipment utilization efficiency and borrowing delay rate before and after the adjustment to achieve continuous optimization. This data-driven optimization method for equipment storage location and allocation strategy undoubtedly provides a more refined means for the scientific management of medical equipment, and also provides strong support for the continuous improvement and optimization of medical services.

[0056] It is understandable that this embodiment provides a more systematic and intelligent solution for the comprehensive management of medical equipment by comprehensively considering the equipment's deployment priority, storage location, and multiple related factors. This solution not only significantly improves the efficiency of medical equipment use and the convenience of access for medical staff, but also ensures the scientificity and effectiveness of medical equipment management through continuous optimization strategies. In practical applications, this solution can significantly optimize the allocation of medical resources, improve the efficiency and quality of medical services, and bring patients a better quality and more efficient medical service experience. At the same time, the implementation of this solution has further promoted the modernization of medical equipment management and injected new vitality and motivation into the sustainable and healthy development of the medical industry.

[0057] In some embodiments of the present application, the aging index of the device is calculated in combination with the purchase date of the device: ; Where A represents the aging index; T c Indicates the current time; T p Indicates the time of equipment purchase; T life Indicates the expected service life of the equipment; if the aging index A exceeds the set aging index threshold A th When the device needs to be replaced or maintained.

[0058] It can be seen that this embodiment further considers the aging problem of equipment and incorporates it into the optimization of equipment allocation and storage strategies. In the medical equipment allocation room, the aging degree of equipment is directly related to its performance and safety. In order to ensure that the medical equipment is always in the best condition, this embodiment combines the purchase date of the equipment and calculates the aging index of the equipment to evaluate the aging degree of the equipment.

[0059] Specifically, the calculation of the aging index takes into account multiple factors such as the current time, the time when the equipment was purchased, and the expected service life of the equipment. Through this calculation, we can accurately understand the aging of the equipment and provide a scientific basis for the maintenance or replacement of the equipment. When the aging index exceeds the set threshold, the system will promptly remind us that we need to replace or maintain the equipment to ensure the safety and reliability of medical equipment.

[0060] This optimization strategy that takes into account the equipment aging index not only helps to improve the performance of medical equipment, but also effectively extends the service life of the equipment and reduces the operating costs of medical institutions. At the same time, by timely replacing or maintaining aging equipment, we can further ensure the smooth progress of medical services and provide patients with safer and more reliable medical services.

[0061] In summary, this embodiment provides a more systematic and intelligent solution for the comprehensive management of medical equipment by comprehensively considering multiple factors such as equipment deployment priority, storage location, usage frequency, availability, and aging index. This solution not only significantly improves the efficiency of medical equipment use and the convenience of medical staff to use it, but also ensures the scientificity and effectiveness of medical equipment management through continuous optimization strategies.

[0062] It is understandable that this embodiment also takes into account the complexity and diversity of equipment usage in the medical equipment deployment room. In actual operation, the use of medical equipment is not only affected by the performance of the equipment itself, but also by various factors such as the usage habits of medical staff and changes in patient needs. Therefore, in order to ensure the effectiveness and adaptability of equipment deployment and storage strategies, this embodiment fully considers the comprehensive effects of these factors in the design.

[0063] Specifically, when calculating the storage priority score of equipment, in addition to considering factors such as equipment allocation priority, last return time, recommended borrowing time, and equipment aging index, we can also flexibly adjust the weight parameters α, β, and γ according to actual needs to adapt to the specific needs of different hospitals and departments. This flexibility and adaptability enables our equipment allocation and storage strategies to better meet the diversity of actual applications and improve the efficiency of medical equipment use and the satisfaction of medical staff.

[0064] In addition, we also regularly evaluate the effectiveness of equipment deployment optimization strategies, continuously optimize weight parameters, and achieve continuous optimization. This data-driven continuous optimization method not only helps to improve the management level of medical equipment, but also provides strong support for the continuous improvement and optimization of medical services. By continuously optimizing equipment deployment and storage strategies, we can better meet the medical needs of patients, improve the efficiency and quality of medical services, and bring patients a better and more efficient medical service experience.

[0065] In some embodiments of the present application, when a device leaves the medical device preparation room for more than a set time and is not returned, an alarm message is automatically sent to the administrator.

[0066] See also Figure 2 This embodiment also proposes an equipment deployment system for a medical equipment deployment room, including: RFID tag module, used to configure a unique RFID tag for each device and store the device ID, category, and purchase date; Database module, used to store equipment tag information, borrowing records, return records, and inventory status; Identity recognition module, used to identify the identity of medical staff and record the personnel ID and entry time; The device tracking module is used to scan the RFID tag once and update the device location in real time; The borrowing and returning management module is used to record the borrowing and returning information of equipment and update the equipment status; Automatic inventory counting module, used to perform inventory counting and generate inventory counting reports; Anomaly detection module, which is used to monitor the usage of equipment, calculate the anomaly rate and trigger anomaly checks; The intelligent deployment module is used to optimize device deployment strategies, calculate deployment priorities, and adjust device configurations.

[0067] It can be seen that the equipment allocation system proposed in this embodiment realizes the full life cycle management of medical equipment from purchase to use by integrating multiple functional modules. The RFID tag module ensures the unique identification of each device, which is easy to track and manage. The database module stores rich equipment information, providing a solid foundation for data analysis and strategy optimization. The identity recognition module, equipment tracking module and borrowing and returning management module work together to realize real-time monitoring and recording of equipment usage, ensuring the transparency and traceability of equipment use.

[0068] In addition, the application of the automatic inventory module has greatly reduced the workload of managers and improved the accuracy and efficiency of inventory management. The introduction of the anomaly detection module provides a strong guarantee for the safe use of equipment. By real-time monitoring of equipment usage, abnormal situations can be discovered and handled in a timely manner, effectively avoiding potential safety hazards. The intelligent allocation module, as the core of the entire system, continuously optimizes the equipment allocation strategy, realizes the reasonable allocation and efficient use of equipment resources, and provides strong support for the continuous improvement and optimization of medical services.

[0069] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0070] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0071] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0072] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0073] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A device deployment method for a medical device deployment room, characterized in that: include: All devices are equipped with unique RFID tags, wherein the tag information of the RFID tags includes device ID, category and purchase date; The tag information is stored in a unified format, and a device classification standard is formulated according to the function and usage scenario of the device, and each type of device is set with a unique category code; Medical staff enter the medical equipment preparation room through the access control system, which automatically identifies the identity of the person and records the person's ID and entry time; the medical staff selects the equipment, records the equipment ID, borrowing time and borrower ID; when the equipment leaves the room, the RFID tag of the equipment is detected to confirm that the equipment has been borrowed; Medical staff return the equipment to the medical equipment allocation room, detect the equipment RFID tag, record the equipment ID, return time and returner ID; after the equipment is put into storage, update the equipment status to "available"; Scan the equipment RFID tag regularly in minutes to update the equipment location information; when the equipment leaves the medical equipment allocation room, the equipment location is automatically recorded as "borrowed"; The inventory equipment is automatically counted regularly in hours and an inventory report is generated; the inventory report includes the total number of equipment, the number of available equipment, the number of loaned equipment and the number of abnormal equipment, and the relationship between the total number of equipment, the number of available equipment, the number of loaned equipment and the number of abnormal equipment satisfies: ； Among them, N t Indicates the total number of devices; N a Indicates the number of available devices; N b Indicates the number of loaned devices; N e Indicates the number of abnormal devices.

2. The equipment deployment method for a medical equipment deployment room according to claim 1, characterized in that: The borrowing duration of the device is affected by the device type and usage scenario. The recommended borrowing duration of the device is calculated based on historical borrowing data: ; Among them, T b Indicates the recommended borrowing duration; M indicates the number of borrowings in the past D days, T bi Indicates the i-th borrowing duration.

3. The equipment deployment method for a medical equipment deployment room according to claim 1, characterized in that: Quantitatively analyze the efficiency of equipment use and define equipment utilization as: ； Where U represents the actual usage time of the device; T u Indicates the actual usage time of the device; T op Indicates the operational time of the device; If the actual usage time U is lower than the set usage time threshold U th , it indicates that the device is in idle state.

4. The equipment deployment method for a medical equipment deployment room according to claim 1, characterized in that: The anomaly detection model is used to monitor the usage status of the equipment and calculate the anomaly rate Pe: ； Among them, P e represents the abnormality rate; When the abnormal rate P e Exceeding the set abnormal rate threshold P eth When the abnormal device inspection process is triggered.

5. The equipment deployment method for a medical equipment deployment room according to claim 1, characterized in that: The inventory warning of the equipment is based on the equipment availability, and the calculation formula is as follows: ； Among them, R a Indicates equipment availability; When R a Below the set threshold R th When the inventory is exceeded, an inventory warning is triggered.

6. The equipment deployment method for a medical equipment deployment room according to claim 5, characterized in that: The delay in returning equipment is evaluated and the overdue return rate of equipment is defined as follows: ； Among them, R o represents the overdue return rate; N o Indicates the number of devices returned overdue; If the overdue return rate R o Exceeding the set overdue return rate threshold R oth When the system returns the data, it prompts that the return management is abnormal.

7. The equipment preparation method for a medical equipment preparation room according to claim 6, characterized in that: Intelligent algorithms are used to optimize equipment allocation and calculate equipment allocation priorities based on historical equipment borrowing data, usage frequency, and availability: ； Among them, P d Indicates the equipment allocation priority; w1, w2, and w3 represent weight factors respectively; U represents the actual usage time of the equipment; According to the deployment priority P d Optimize equipment storage location and deployment strategy based on the size of the device.

8. The equipment preparation method for a medical equipment preparation room according to claim 1, characterized in that: Calculate the aging index of the equipment based on the equipment's purchase date: ； Where A represents the aging index; T c Indicates the current time; T p Indicates the time of equipment purchase; T life Indicates the expected service life of the equipment; if the aging index A exceeds the set aging index threshold A th When the device needs to be replaced or maintained.

9. The equipment deployment method for a medical equipment deployment room according to claim 1, characterized in that: When the equipment leaves the medical equipment preparation room for more than the set time and is not returned, an alarm message is automatically sent to the management staff.

10. An equipment dispensing system for a medical equipment dispensing room, characterized in that: include: RFID tag module, used to configure a unique RFID tag for each device and store the device ID, category, and purchase date; Database module, used to store equipment tag information, borrowing records, return records, and inventory status; Identity recognition module, used to identify the identity of medical staff and record the personnel ID and entry time; The device tracking module is used to scan the RFID tag once and update the device location in real time; The borrowing and returning management module is used to record the borrowing and returning information of equipment and update the equipment status; Automatic inventory counting module, used to perform inventory counting and generate inventory counting reports; Anomaly detection module, which is used to monitor the usage of equipment, calculate the anomaly rate and trigger anomaly checks; The intelligent deployment module is used to optimize device deployment strategies, calculate deployment priorities, and adjust device configurations.

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