Pre-matching intelligent management method and system for medical apparatus and instruments

Abstract

The invention discloses a pre-matching intelligent management method and system for medical instruments. The method comprises the following steps that 1, instrument state information in a pre-matching instrument container is automatically recognized through a non-contact sensing method; 2, associating the identified state information with an inventory database, and generating a matching recommendation scheme based on a preset multi-dimensional optimization algorithm; 3, displaying the state information and the supplementary matching recommendation scheme through a visual interaction interface, and responding to a user instruction to execute a one-key supplementary matching operation; and 4, synchronously updating the pre-matching state information and the inventory database information in real time when the matching operation is executed. Through the implementation of the invention, the inventory loss and waste are obviously reduced, the matching process is greatly simplified, the operation efficiency is improved, the accuracy and consistency of data are ensured, the problems of mismatching, missed matching and asynchronous inventory information are effectively avoided, and the intelligence, precision and traceability of pre-matching management of the medical apparatus and instruments are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical material information management, and in particular to a pre-assembly intelligent management method and system for medical instruments. BACKGROUND

[0002] In modern hospital operations, pre-assembly management of surgical instruments is a key link to ensure the efficiency and safety of surgery. Pre-assembly refers to sorting and combining the required instruments and implants (such as screws, steel plates, etc.) in advance according to the surgical plan and placing them in special instrument boxes or packages for quick delivery to the operating room.

[0003] Currently, the pre-assembly management process widely used in the industry still highly relies on manual operation, especially in the counting and checking and replenishment configuration (replenishment) link after the completion of surgery. The typical process and existing defects are as follows:

[0004] Manual counting is inefficient and prone to errors: after the instruments are returned to the warehouse, the warehouse personnel need to count the instruments in each card slot of the instrument box or check the instrument model and quantity in the list one by one against the paper list; this process is time-consuming and long, and the counting of a single instrument box can take up to 10-20 minutes; and long-time manual operation is prone to missed detection and false detection due to fatigue, so that missing instruments cannot be discovered in time;

[0005] The replenishment process is complicated and time-consuming: after discovering the missing items, the warehouse personnel need to manually record the missing items and then find the corresponding instruments in the huge shelf system to replenish them. This process not only takes a long time of up to 30 minutes each time, but also has a high mismatch rate of up to 12% due to "collision" (the instruments needed for replenishment have been taken by others);

[0006] Lack of standardized management and low inventory turnover rate: there is no uniform standard for the definition of "insufficient quantity" (such as how many screws are left to need replenishment), which relies on the subjective experience of the warehouse personnel. This often leads to two drawbacks: one is that replenishment is not timely, affecting subsequent surgery; the other is that overstocking causes near-expiration consumables to accumulate, increasing inventory costs and waste risks;

[0007] Serious information island phenomenon: the data of consumption checking, replenishment records, and inventory updates are disconnected, relying on manual input and synchronization, with delayed information updates and high error rates (the difference rate of traditional manual updates is up to 10%), and real-time linkage and accurate traceability of consumption data and inventory management cannot be achieved.

[0008] In summary, the existing technology has significant defects such as low efficiency, poor accuracy, extensive inventory management, and difficult process traceability. Therefore, an intelligent, accurate, and full-process traceable pre-assembly management solution is urgently needed to solve the above problems. SUMMARY

[0009] In view of the deficiencies of the prior art, the present application provides a pre-assembly intelligent management method and system for medical instruments, aiming to solve the above problems.

[0010] A pre-assembly intelligent management method for medical instruments, comprising the following steps:

[0011] Step 1: automatically identifying the instrument state information in the pre-assembly instrument container through a non-contact sensing method;

[0012] Step 2: associating the identified state information with the inventory database, and generating a replenishment recommendation scheme based on a pre-set multi-dimensional optimization algorithm;

[0013] Step 3: displaying the state information and the replenishment recommendation scheme through a visual interactive interface, and executing a one-key replenishment operation in response to a user instruction;

[0014] Step 4: synchronously updating the pre-assembly state information and the inventory database information in real time during the execution of the replenishment operation. Through the automatic and rapid identification of the instrument missing or insufficient quantity state by the non-contact sensing technology, the defects of low efficiency and easy error of manual counting are overcome, the optimal replenishment scheme is generated through the intelligent algorithm, the near-expiration and first-inventory consumables are preferentially consumed, the inventory loss and waste are significantly reduced, the replenishment process is greatly simplified through the visual interface and one-key operation, the operation efficiency is improved, and the accuracy and consistency of the data are ensured through the real-time synchronous updating of the inventory and the pre-assembly state, the problems of mismatching, missing and inventory information out of synchronization are effectively avoided, and the intelligent, precise and traceable management of the medical instrument pre-assembly is realized.

[0015] Further, the automatic identification by the non-contact sensing technology comprises:

[0016] image acquisition and identification of the instrument container with a fixed containing structure to determine whether the instruments in each containing position are missing or the remaining quantity is lower than a pre-set threshold value, and / or electronic data comparison of the instrument list to identify the model difference or quantity difference between the returned instruments and the pre-assembly standard list.

[0017] Further, after image recognition of the instrument container with a fixed containing structure, the method further comprises:

[0018] generating a state indication map of the instrument container, wherein different visual elements are used to represent the sufficient, near-threshold or missing state of the instruments in each containing position;

[0019] controlling the physical indication device arranged on the containing position of the instrument container to prompt, to assist the user in physical positioning.

[0020] Furthermore, after comparing the medical device list with electronic data, the method further includes:

[0021] The electronic list highlights missing, incorrect model, or insufficient quantity medical device items;

[0022] It links to the inventory database and visualizes the specific location information of the instruments in the warehouse.

[0023] Furthermore, in step 5, a supplementary recommendation scheme is generated based on a preset multi-dimensional optimization algorithm. The multi-dimensional optimization algorithm considers at least the following parameters and their weights:

[0024] The remaining validity period of the medical device;

[0025] The time of receipt of medical instruments;

[0026] Historical consumption frequency of the equipment;

[0027] The difference between the current inventory level and the safety threshold.

[0028] Furthermore, the generation of the matching recommendation scheme specifically includes:

[0029] The recommendation priority of the same medical device in different batches in the inventory is calculated based on the multi-dimensional optimization algorithm.

[0030] Priority should be given to replenishing batches with shorter remaining expiration dates or earlier warehousing dates.

[0031] Furthermore, in step 3, the status information and replenishment recommendation plan are displayed through a visual interactive interface. The visual interactive interface provides detailed information on missing or insufficient medical devices, recommended replenishment batch information and inventory location. The user triggers the system to automatically execute all subsequent replenishment logic through a single confirmation operation.

[0032] Furthermore, in step 4, the pre-matching status information and inventory database information are updated in real time. This real-time synchronization includes:

[0033] Deduct the inventory quantity of the recommended batch of medical devices;

[0034] Update the corresponding pre-match status to "complete";

[0035] If the inventory of a certain batch falls below the safety stock threshold after replenishment, a replenishment order will be automatically generated and sent.

[0036] On the other hand, this application provides a pre-installed intelligent management system for medical devices, comprising:

[0037] The identification module is used to automatically identify the missing or insufficient quantity of instruments in the pre-matched instrument container through non-contact sensing technology.

[0038] The intelligent recommendation module is used to generate supplementary recommendation schemes based on multi-dimensional optimization algorithms;

[0039] The human-computer interaction module is used to provide a visual interactive interface and receive one-click replenishment commands from users;

[0040] The inventory management module is used to respond to replenishment instructions and synchronize and update the pre-replenishment status and inventory data in real time.

[0041] Furthermore, the identification module further includes:

[0042] The image recognition unit is used to process and recognize images of fixed-structure instrument containers and determine whether the number of instruments is lower than a preset threshold.

[0043] The data comparison unit is used to process data comparison and analyze model and quantity differences in electronic lists.

[0044] The substantial effects of this invention:

[0045] 1. In this invention, the identification of missing or insufficient instruments is automatically completed within seconds through a non-contact sensing method. The visual interface is linked with the physical indicator device to guide personnel to quickly locate the problem, greatly reducing the time spent on a single replenishment operation and avoiding errors caused by human negligence.

[0046] 2. In this invention, intelligent replenishment recommendations are made through multi-dimensional optimization algorithms, prioritizing the consumption of near-expiry and early-in-stock products, effectively reducing the loss rate of near-expiry consumables, significantly reducing the risk of inventory backlog and waste by improving the execution rate of the first-in-first-out rule, and optimizing inventory turnover.

[0047] 3. In this invention, after the one-click replenishment operation is triggered, the system completes the synchronous update of inventory data in a short period of time, reducing the inventory information discrepancy rate and solving the "order collision" problem; all operations are automatically recorded, realizing full-process digital traceability from consumption to replenishment to purchase application, providing accurate data support for management decisions; and the system's built-in judgment rules unify the judgment criteria for "shortage" and "insufficiency", avoiding the problem of untimely replenishment or over-replenishment caused by differences in subjective judgment of personnel, making the pre-matching management process more standardized and regulated. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 This is a schematic diagram of the method flow in Example 1.

[0050] Figure 2 This is a schematic diagram of the missing interface of the nail box in Example 2.

[0051] Figure 3 This is a schematic diagram of the visual matching interface for Example 2.

[0052] Figure 4 This is a first schematic diagram of Example 2, which uses an image recognition algorithm (AI) to train and identify the status information of instruments in a nail box.

[0053] Figure 5 This is a second schematic diagram illustrating the training of the image recognition algorithm AI in Example 2 to recognize the instrument status information in the nail box. Detailed Implementation

[0054] To facilitate understanding of the present invention, a more detailed description is provided below with reference to the accompanying drawings and specific embodiments. It should be noted that when an element is described as being "fixed to" another element, it can be directly on the other element, or one or more intermediate elements may exist between them. When an element is described as being "connected to" another element, it can be directly connected to the other element, or one or more intermediate elements may exist between them. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this specification are for illustrative purposes only.

[0055] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. The term "and / or" as used in this specification includes any and all combinations of one or more of the associated listed items.

[0056] Example 1:

[0057] Reference Figure 1 As shown, a pre-configured intelligent management method for medical devices includes the following steps:

[0058] Step 1: Automatically identify the status information of the instruments in the pre-matched instrument container using a non-contact sensing method;

[0059] Step 2: Associate the identified status information with the inventory database, and generate a replenishment recommendation plan based on a preset multi-dimensional optimization algorithm;

[0060] Step 3: Display status information and recommended replenishment solutions through a visual interactive interface, and execute a one-click replenishment operation in response to user commands;

[0061] Step 4: When performing the replenishment operation, the pre-matching status information and inventory database information are updated in real time.

[0062] As one implementation method, automatic identification via non-contact sensing technology includes:

[0063] Image acquisition and recognition are performed on instrument containers with fixed storage structures to determine whether the number of missing or remaining instruments in each storage position is below a preset threshold and / or to compare the instrument list electronically to identify model or quantity differences between the returned instruments and the pre-matched standard list. Through non-contact sensing methods (AI visual recognition), the identification of missing or insufficient instruments is automatically completed within seconds, replacing the original 15-20 minute manual counting process.

[0064] As one implementation method, after performing image recognition on an instrument container with a fixed accommodating structure, the method further includes:

[0065] Generate a status indicator diagram of the instrument container, in which different visual elements represent the sufficiency, proximity to threshold, or shortage status of instruments in each accommodating position.

[0066] The control system provides prompts from the physical indicator located on the instrument container to assist the user in locating the object.

[0067] As one implementation method, after electronically comparing the medical device list, the method further includes:

[0068] The electronic list highlights missing, incorrect model, or insufficient quantity medical device items;

[0069] It links to the inventory database and visualizes the specific location information of the equipment in the warehouse.

[0070] As one implementation method, in step 5, a supplementary recommendation scheme is generated based on a preset multi-dimensional optimization algorithm. The multi-dimensional optimization algorithm considers at least the following parameters and their weights:

[0071] The remaining validity period of the medical device;

[0072] The time of receipt of medical instruments;

[0073] Historical consumption frequency of the equipment;

[0074] The difference between the current inventory level and the safety threshold. Through multi-dimensional optimization algorithms (considering factors such as expiration date, warehousing time, consumption frequency, and safety stock), intelligent replenishment recommendations are made, prioritizing the consumption of near-expiration and earlier-entered products. This can reduce the loss rate of near-expiration consumables from 8% to below 2%, and increase the execution rate of the first-in-first-out rule from 60% to over 98%, significantly reducing the risk of inventory backlog and waste, and optimizing inventory turnover.

[0075] As one implementation method, generating a supplementary recommendation scheme specifically includes:

[0076] The recommendation priority of the same medical device in different batches in the inventory is calculated based on a multi-dimensional optimization algorithm;

[0077] Priority should be given to replenishing batches with shorter remaining expiration dates or earlier warehousing dates.

[0078] As one implementation method, in step 3, a visual interactive interface is used to display status information and recommended replenishment plans. The visual interactive interface provides detailed information on missing or insufficient equipment, recommended replenishment batch information, and inventory location. The user triggers the system to automatically execute all subsequent replenishment logic through a single confirmation operation. The visual interface is linked with physical indicators to guide personnel to quickly locate problems, reducing the time for a single replenishment operation from 30 minutes to 6 minutes, improving efficiency by over 70%, while avoiding errors caused by human negligence.

[0079] As one implementation method, in step 4, the pre-matching status information and inventory database information are updated in real time. Real-time synchronization includes:

[0080] Deduct the inventory quantity of the recommended batch of medical devices;

[0081] Update the corresponding pre-match status to "complete";

[0082] If the inventory level of a batch falls below the safety stock threshold after replenishment, a replenishment order is automatically generated and sent. Once the one-click replenishment operation is triggered, the system completes the synchronization and update of inventory data within one second, reducing the inventory discrepancy rate from 10% to below 0.1%, thus resolving the "order collision" problem. All operations (such as inventory results, UDI codes of replenished medical devices, operators, and timestamps) are automatically recorded, achieving full-process digital traceability from consumption to replenishment to procurement requests, providing precise data support for management decisions.

[0083] Example 2:

[0084] Reference Figure 2 , 3 As shown, this embodiment is basically the same as embodiment 1, except that it provides a pre-matching intelligent management method for medical devices. The following is a detailed description in conjunction with an application scenario:

[0085] After the smart nail box used in orthopedic surgery at a hospital is returned to the storage, the system performs the following operations:

[0086] Step 1: Automatically identify status information;

[0087] In this scenario, the non-contact sensing method specifically involves: a high-definition 3D camera fixed to the counting table rapidly scanning the nail boxes (instrument containers), capturing images of each slot, and then analyzing the images in real time using an image recognition algorithm (see reference). Figure 4 , Figure 5 The type (e.g., A-2.4mm) and number (via a trained CNN model) of screws in each slot. Figure 2 The color-coded area of ​​the nail box interface intuitively displays the consumable status of each slot. The system presets the safety stock threshold for this type of screw to be 5 pieces. If it is detected that there are only 3 screws of this type left in a slot, it is determined that the slot is in a "insufficient quantity" state; if it is detected that the slot is empty, it is determined to be in a "missing" state.

[0088] Step 2: Generate an intelligent replenishment plan;

[0089] The system sends the identified status information "5 screws A-2.4mm missing" to the server. The server then calls the intelligent recommendation module to generate a replacement solution based on a multi-dimensional optimization algorithm. Figure 3 (Displays missing instrument models and detailed information on slots / out-of-stock instruments), the algorithm queries the inventory database to find all batches of qualified "Screw A-2.4mm" and calculates the recommendation priority for each batch:

[0090] Batch 1: Warehousing date: January 1, 2025; Expiry date: December 31, 2025; Stock: 50 pieces.

[0091] Batch 2: Warehouse entry date: March 1, 2025; expiry date: June 30, 2026; stock: 100 pieces.

[0092] The algorithm calculates that batch 1 has a higher priority than batch 2 based on the weights (expiration date 40%, storage time 30%), therefore it is recommended to take 5 pieces from batch 1 for replenishment;

[0093] Step 3: Visual presentation and one-click operation;

[0094] On the display screen in front of the warehouse keeper, a visual interactive interface automatically pops up. The left side of the interface displays a color heat map of the nail boxes, with missing slots shown in red and flashing. The right side lists the information of the "Screw A-2.4mm" that needs to be replaced and clearly indicates the recommended storage location: "Area A-3-2-05 (Batch 1)". After the warehouse keeper confirms that the information is correct, he / she clicks the "One-Click Replacement" button on the interface.

[0095] Step 4: Perform replenishment and real-time synchronization;

[0096] The system responds to the command and automatically performs the following operations:

[0097] The inventory management module immediately reduces the inventory quantity of "Screw A-2.4mm" in batch 1 from 50 pieces to 45 pieces;

[0098] Update the status of the nail box to "complete" in the system;

[0099] Record the log for this replenishment, including operator ID, time, and UDI code of the consumed equipment;

[0100] The inventory of batch 1 (45 pieces) was detected to be far above the safety threshold (10 pieces), so no replenishment request was triggered.

[0101] Example 3:

[0102] This embodiment is basically the same as Embodiment 1, except that this embodiment provides an intelligent management system for implementing the method described in Embodiment 2. The system is deployed in the hospital data center and instrument warehouse, and its module collaboration process is as follows:

[0103] Identification module: As the "eyes" of the system, it includes:

[0104] Image recognition unit: Deployed at the warehouse inventory station, it is responsible for controlling industrial cameras to scan smart nail boxes and other equipment, and running algorithm models to identify the status of the equipment.

[0105] Data comparison unit: used to interface with the hospital information system (HIS) or warehouse management system (WMS) to obtain the electronic surgical list and automatically compare it with the pre-matched standard template, marking the differences;

[0106] Intelligent recommendation module: Deployed on the application server, it has a built-in multi-dimensional optimization algorithm, receives data from the recognition module, calculates and generates the optimal matching strategy in real time;

[0107] Human-computer interaction module: As the "interface" of the system, it is presented to the warehouse manager in the form of a web application or touch screen program. It receives the results of the intelligent recommendation module, converts them into intuitive information such as graphical heat maps, lists, and storage location maps, and receives the user's confirmation instructions.

[0108] Inventory Management Module: Used to maintain a real-time updated inventory database; once a replenishment instruction is received from the human-computer interaction module, it immediately and atomically completes a series of operations such as inventory deduction, status update, and log recording in a transactional manner, ensuring data consistency.

[0109] Example 4:

[0110] This embodiment is basically the same as embodiment 2, except that the application scenario is a list-based instrument pack (such as large plastic surgery instruments, neurosurgical instrument packs, etc., without fixed slots, and managed by a list).

[0111] In step 1, the non-contact sensing method is as follows: When the instrument package is returned to the warehouse, the operator uses an RFID reader or barcode scanner to quickly scan the UDI code on the instrument. The system automatically generates a return list and compares it with the pre-matched standard list. The comparison results show that "one titanium plate of a certain model is missing" and "8 screws of a certain model were actually returned to the warehouse, which is less than the standard configuration of 10", thus identifying the "missing" and "insufficient quantity" status.

[0112] In step 3, the visual interactive interface is displayed in the form of an electronic list, with missing titanium plates and insufficient screws highlighted in red; clicking on the highlighted item will display an image of the instrument, a Gantt chart of its inventory location (e.g., "B Zone - Row 5 - Layer 1 - Position 12"), and the expiration date information of the recommended batch on the right side of the interface.

[0113] The remaining steps are consistent with the principle of Example 2.

[0114] Example 5:

[0115] This embodiment provides a pre-installed intelligent management system for medical devices, comprising:

[0116] The identification module is used to automatically identify the missing or insufficient quantity of instruments in the pre-matched instrument container through non-contact sensing technology.

[0117] The intelligent recommendation module is used to generate supplementary recommendation schemes based on multi-dimensional optimization algorithms;

[0118] The human-computer interaction module is used to provide a visual interactive interface and receive one-click replenishment commands from users;

[0119] The inventory management module is used to respond to replenishment instructions and synchronize and update the pre-replenishment status and inventory data in real time.

[0120] As one implementation, the identification module further includes:

[0121] The image recognition unit is used to process and recognize images of fixed-structure instrument containers and determine whether the number of instruments is lower than a preset threshold.

[0122] The data comparison unit is used to process data comparison and analyze model and quantity differences in electronic lists.

[0123] It should be noted that while the preferred embodiments of the present invention are provided in the specification and accompanying drawings, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are not intended to impose additional limitations on the content of the present invention; their purpose is to provide a more thorough and comprehensive understanding of the disclosure of the present invention. Furthermore, the above-described technical features can be combined with each other to form various embodiments not listed above, all of which are considered to be within the scope of the present invention specification. Moreover, those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A pre-configured intelligent management method for medical devices, characterized in that, Includes the following steps: Step 1: Automatically identify the status information of the instruments in the pre-matched instrument container using a non-contact sensing method; Step 2: Associate the identified status information with the inventory database, and generate a replenishment recommendation plan based on a preset multi-dimensional optimization algorithm; Step 3: Display the status information and recommended replenishment plan through a visual interactive interface, and execute a one-click replenishment operation in response to user commands; Step 4: When performing the replenishment operation, the pre-matching status information and inventory database information are updated in real time.

2. The pre-configured intelligent management method for medical devices according to claim 1, characterized in that, The automatic identification via non-contact sensing technology includes: Image acquisition and recognition are performed on instrument containers with fixed accommodating structures to determine whether the number of missing or remaining instruments in each accommodating position is lower than a preset threshold and / or the instrument list is compared electronically to identify model or quantity differences between the returned instruments and the pre-matched standard list.

3. The pre-configured intelligent management method for medical devices according to claim 2, characterized in that, After performing image recognition on an instrument container with a fixed accommodating structure, the method further includes: Generate a status indication diagram of the instrument container, wherein different visual elements represent the sufficiency, proximity threshold, or shortage status of instruments in each accommodating position; The physical indicator device located on the instrument container provides prompts to assist the user in locating the object.

4. The pre-configured intelligent management method for medical devices according to claim 2, characterized in that, After comparing the medical device list with electronic data, the method further includes: The electronic list highlights missing, incorrect model, or insufficient quantity medical device items; It links to the inventory database and visualizes the specific location information of the instruments in the warehouse.

5. The pre-configured intelligent management method for medical devices according to claim 1, characterized in that, In step 5, a supplementary recommendation scheme is generated based on a preset multi-dimensional optimization algorithm. The multi-dimensional optimization algorithm considers at least the following parameters and their weights: The remaining validity period of the medical device; The time of receipt of medical instruments; Historical consumption frequency of the equipment; The difference between the current inventory level and the safety threshold.

6. The pre-configured intelligent management method for medical devices according to claim 5, characterized in that, The specific steps for generating the matching recommendation scheme include: The recommendation priority of the same medical device in different batches in the inventory is calculated based on the multi-dimensional optimization algorithm. Priority should be given to replenishing batches with shorter remaining expiration dates or earlier warehousing dates.

7. The pre-configured intelligent management method for medical devices according to claim 1, characterized in that, In step 3, the status information and replenishment recommendation plan are displayed through a visual interactive interface. The visual interactive interface provides detailed information on missing or insufficient medical devices, recommended replenishment batch information and inventory location. The user can trigger the system to automatically execute all subsequent replenishment logic through a single confirmation operation.

8. The pre-configured intelligent management method for medical devices according to claim 1, characterized in that, In step 4, the pre-matching status information and inventory database information are updated in real time. This real-time synchronization includes: Deduct the inventory quantity of the recommended batch of medical devices; Update the corresponding pre-match status to "complete"; If the inventory of a certain batch falls below the safety stock threshold after replenishment, a replenishment order will be automatically generated and sent.

9. A pre-installed intelligent management system for medical devices, used to implement the pre-installed intelligent management method as described in any one of claims 1-8, characterized in that, include: The identification module is used to automatically identify the missing or insufficient quantity of instruments in the pre-matched instrument container through non-contact sensing technology. The intelligent recommendation module is used to generate supplementary recommendation schemes based on multi-dimensional optimization algorithms; The human-computer interaction module is used to provide a visual interactive interface and receive one-click replenishment commands from users; The inventory management module is used to respond to replenishment instructions and synchronize and update the pre-replenishment status and inventory data in real time.

10. The pre-installed intelligent management system for medical devices according to claim 9, characterized in that, The identification module further includes: The image recognition unit is used to process and recognize images of fixed-structure instrument containers and determine whether the number of instruments is lower than a preset threshold. The data comparison unit is used to process data comparison and analyze model and quantity differences in electronic lists.

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