Intelligent management method for medical consumables and related equipment

Abstract

The invention discloses a medical consumable intelligent management method and related equipment. The method comprises the following steps: identifying identity information of a current user so as to unlock a medical consumable storage space under the condition that the identity information is matched with pre-stored identity information; querying work order information associated with pre-stored identity information based on the pre-stored identity information matched with the current user; and according to the medical operation contained in the work order information, determining the medical consumables to be received so as to prompt the current user. The problems that in a traditional medical environment, the consumable receiving process seriously depends on manual judgment and experience operation, and large uncertainty and personal errors exist can be solved.

Description

Technical Field

[0001] The embodiments of this application relate to the field of smart healthcare, and more specifically, the present invention relates to a method and related equipment for intelligent management of medical consumables. Background Technology

[0002] In the daily diagnosis and treatment and nursing process in hospitals, medical consumables are essential materials for ensuring the smooth operation of medical activities and are widely used in various examinations, treatments, and nursing procedures. Common consumables include syringes, dressings, catheters, and infusion sets, which are numerous, frequently used, and consumed rapidly. To ensure the continuity and safety of clinical work, hospitals usually set up storage spaces for consumables in each nursing unit and treatment department, allowing medical staff to access them independently according to their actual work needs. Summary of the Invention

[0003] The summary section introduces a series of simplified concepts, which will be further explained in detail in the detailed description section. The summary section of this invention is not intended to limit the key features and essential technical features of the claimed technical solution, nor is it intended to determine the scope of protection of the claimed technical solution.

[0004] To address the problem that the requisition process for medical consumables in traditional medical environments relies heavily on manual judgment and experience, resulting in significant uncertainty and human error, this invention proposes, firstly, an intelligent management method for medical consumables. This method includes: Identify the current user's identity information, and unlock the medical consumables storage space if the identity information matches the pre-stored identity information; Based on the pre-stored identity information matched by the current user, query the work order information associated with the pre-stored identity information; The medical consumables to be collected are determined based on the medical operations contained in the work order information, and the current user is notified accordingly.

[0005] Optionally, the step of determining the medical consumables to be collected based on the medical operations contained in the work order information, in order to prompt the current user, includes: Extract the medical operations contained in the work order information; Based on the extracted medical operations, the system uses a knowledge graph to determine the medical consumables to be collected, and then prompts the current user.

[0006] Optionally, the step of determining the medical consumables to be collected based on the medical operations contained in the work order information, in order to prompt the current user, includes: Based on the medical operations contained in the work order information, determine the medical consumables to be collected, and automatically display the list of medical consumables to be collected; and / or The medical consumables to be collected and their location are displayed in the user interface of the medical consumables storage space.

[0007] Optional, also includes: Image information of the medical consumables storage space is collected to identify the types and quantities of medical consumables in the storage space based on the image information; After users collect, return, or replenish medical consumables, an inventory of the types and quantities of medical consumables in the storage space is conducted.

[0008] Optional, also includes: Based on the medical operations contained in the work order information, determine the medical consumables to be collected, and calculate the theoretical types and quantities of medical consumables in the medical consumable storage space after the current user collects the medical consumables. After the user retrieves the medical consumables, the actual types and quantities of medical consumables in the storage space are determined based on the image information, so as to generate a prompt message if the theoretical types and quantities of medical consumables do not match the actual types and quantities of medical consumables. The notification message is displayed in the user interface of the medical consumables storage space and / or sent to the management terminal of the medical consumables storage space.

[0009] Optional, also includes: The remaining types and quantities of medical consumables determined after inventory are compared with the preset types and quantities of medical consumables; A prompt message is generated when the quantity of a target medical consumable type is lower than the preset quantity of that target medical consumable type.

[0010] Optional, also includes: When the medical consumables storage space is unlocked and the current user inputs a medical operation type through the user interface of the medical consumables storage space, the medical consumables to be collected are determined based on the medical operation type, and the current user is prompted.

[0011] Secondly, the present invention also proposes an intelligent management device for medical consumables, comprising: The identification unit is used to identify the current user's identity information so that the medical consumables storage space can be unlocked if the identity information matches the pre-stored identity information. The query unit is used to query work order information associated with the pre-stored identity information matched by the current user. The prompting unit is used to determine the medical consumables to be collected based on the medical operations contained in the work order information, so as to prompt the current user.

[0012] Thirdly, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program stored in the memory to implement the steps of the intelligent management method for medical consumables as described in any of the first aspects above.

[0013] Fourthly, the present invention also proposes a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the intelligent management method for medical consumables according to any one of the preceding claims of the first aspect.

[0014] In summary, the intelligent medical consumables management method proposed in this application unlocks the medical consumables storage space by identifying the current user's identity information and matching it with pre-stored identity information. Based on the pre-stored identity information matched with the current user, it queries the work order information associated with the pre-stored identity information. It then determines the medical consumables to be collected based on the medical operations contained in the work order information and prompts the current user accordingly. The original method relied on nurses' memory, which could lead to omissions due to fatigue or inexperience. The system automatically matches and recommends consumables, effectively improving the accuracy of collection and reducing duplicate collections. Through the identity recognition and pre-stored information matching mechanism, it ensures that only authorized nurses can access the consumables storage space, effectively preventing accidental collection and unauthorized operations, and improving the security and traceability of consumables management. By linking with the work order system, it automatically identifies the patient care tasks or treatment operations actually performed by the current user, avoiding manual judgment and matching operations, and improving task consistency and the standardization of operational procedures. The system automatically analyzes the medical operation type in the work order and matches it with the corresponding consumable list for prompting, reducing problems such as omissions or incorrect retrieval of consumables due to nurses' lack of experience or work fatigue, thereby ensuring the integrity and standardization of clinical operations. It integrates identity recognition, task analysis, and consumable prompts into a unified process, driving consumable requisition from being driven by manual experience to being data-driven and system-guided, adapting to the needs of future hospital scenarios such as smart wards and digital operating rooms.

[0015] The intelligent management method for medical consumables of the present invention, and other advantages, objectives and features of the present invention will be partly apparent from the following description, and partly understood by those skilled in the art through study and practice of the present invention. Attached Figure Description

[0016] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit this specification. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1This application provides a schematic flowchart of an intelligent management method for medical consumables. Figure 2 A schematic diagram of the structure of an intelligent management device for medical consumables provided in this application embodiment; Figure 3 This is a schematic diagram of the structure of an intelligent management electronic device for medical consumables provided in an embodiment of this application. Detailed Implementation

[0017] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus. The technical solutions of the embodiments of this application will now be clearly and completely described in conjunction with the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them.

[0018] To address the issue of consumable requisition processes in traditional medical settings heavily relying on manual judgment and experience, please refer to [link to relevant documentation]. Figure 1 This is a schematic diagram of a smart management method for medical consumables provided in an embodiment of this application, which may specifically include steps S110 to S130.

[0019] S110 identifies the current user's identity information and unlocks the medical consumables storage space if the identity information matches the pre-stored identity information.

[0020] S120: Based on the pre-stored identity information matched by the current user, query the work order information associated with the pre-stored identity information.

[0021] S130, determine the medical consumables to be collected based on the medical operations contained in the work order information, and prompt the current user.

[0022] For example, this intelligent management method for medical consumables begins with nurse identification. When a nurse approaches a medical consumables storage terminal (such as an intelligent consumables cabinet) to retrieve consumables, the system automatically identifies the current user through an identification module deployed on the terminal. Identification methods may include, but are not limited to, swiping a work badge (RFID / NFC), fingerprint recognition, facial recognition, or logging in via a mobile nurse station app. The system compares the identification results with a pre-set nurse information database in the hospital information system in real time. Only when the identity information is successfully verified can the corresponding consumables cabinet door be automatically unlocked or the interactive interface be activated, ensuring traceability and secure control over consumable usage. The technical principle of this step is based on an access control mechanism that integrates identity verification, permission checking, and operation authorization. Its main technical effect is to effectively prevent unauthorized personnel from mistakenly retrieving consumables, reducing waste and risk.

[0023] For example, after successfully identifying the nurse and completing access authorization, the system will retrieve the list of patients currently under the nurse's care and the corresponding nursing work order information from the nursing task scheduling system or electronic medical record system based on the nurse's currently matched identity information. The system can obtain real-time nursing task data by interfacing with hospital business systems (such as calling the open APIs of HIS, EMR, and NIS systems). Each nursing work order generally includes fields such as basic patient information, treatment items, nursing operation content, nursing level, and execution time. The system can directly match structured fields or use natural language processing technology to semantically analyze the nursing task description, thereby accurately obtaining the core operation content involved in this nursing action. The technical principle of this step is based on a business process driven by identity and task linkage, using task data to guide material demand. Its technical effect is to achieve standardization and task-based access to consumables, eliminating reliance on nurses' experience judgment and memory, and improving process consistency and operational safety.

[0024] For example, the system then compares the extracted work order task type with a pre-established task-consumable knowledge base to determine the required list of medical consumables. This knowledge base is constructed by the hospital's supplies department and nursing department through a joint effort to compile standard consumable packages required for frequently performed daily nursing tasks. For instance, for the task of "changing an indwelling intravenous catheter," the system can generate a complete list of consumables including the catheter, IV dressing, 75% alcohol swabs, gloves, etc. For individualized nursing needs of some patients, the system can also incorporate diagnostic information (such as diabetes, burns, postoperative wounds, etc.) to further adjust the consumable combination. The technical principle of this step is based on the mapping from tasks to consumables and the management of knowledge graph relationships, supporting a combination of static standards and dynamic adaptation. Its technical effect is to automate and personalize consumable recommendations, significantly reducing the risk of nurses missing or misusing consumables due to task differences.

[0025] For example, the system then pushes the matched consumable list to the consumable cabinet display interface or the nurse's handheld terminal and activates the consumable location prompt function. Specifically, the system can deploy an LED light control module in the consumable cabinet, combined with the cabinet's storage location code, to highlight the target consumable storage location; or it can present a graphical interface showing the actual consumable, its name, quantity, and storage location number, allowing nurses to confirm the retrieval status with a single click. Some smart cabinets also support RFID or weight sensing modules, allowing the system to detect whether an item is a matching material and record the corresponding quantity when the nurse retrieves it from the storage location. This step integrates multimodal human-computer interaction and a retrieval verification mechanism, ensuring that the retrieval operation is completed under system supervision and feedback. Its technical effects include improved operational efficiency, reduced probability of errors, and increased nurses' trust and compliance with the consumable matching results.

[0026] For example, after a nurse completes the process of retrieving consumables, the system automatically records this usage, including nurse's identity, patient ID, task number, type and quantity of consumables, and operation time, forming a complete data record chain. This data can be uploaded to the consumables management platform in real time for inventory changes, material consumption statistics, and automatic replenishment model training. It can also be used post-event for cost accounting, anomaly tracing, and nursing quality assessment. Technically, this data can be integrated with the hospital's ERP system to achieve synchronization between inventory records and actual supplies. The technical effect is to achieve transparent and data-driven management of consumables from requisition to consumption, supporting the hospital in forming a closed-loop, refined consumables management system.

[0027] In summary, the intelligent medical consumables management method provided in this application unlocks the medical consumables storage space by identifying the current user's identity information and matching it with pre-stored identity information. Based on the pre-stored identity information matched with the current user, it queries work order information associated with the pre-stored identity information. It then determines the medical consumables to be collected based on the medical operations contained in the work order information and prompts the current user accordingly. The original method relied on nurses' memory, which could lead to omissions due to fatigue or unfamiliarity with the procedure. The system automatically matches and recommends consumables, effectively improving the accuracy of collection and reducing duplicate collections. Through the identity recognition and pre-stored information matching mechanism, it ensures that only authorized nurses can access the consumables storage space, effectively preventing accidental collection and unauthorized operations, and improving the security and traceability of consumables management. By linking with the work order system, it automatically identifies the patient care tasks or treatment operations actually performed by the current user, avoiding manual judgment and matching operations, and improving task consistency and the standardization of operational procedures. The system automatically analyzes the medical operation type in the work order and matches it with the corresponding consumable list for prompting, reducing problems such as omissions or incorrect retrieval of consumables due to nurses' lack of experience or work fatigue, thereby ensuring the integrity and standardization of clinical operations. It integrates identity recognition, task analysis, and consumable prompts into a unified process, driving consumable requisition from being driven by manual experience to being data-driven and system-guided, adapting to the needs of future hospital scenarios such as smart wards and digital operating rooms.

[0028] In some examples, determining the medical consumables to be collected based on the medical operations contained in the work order information, in order to prompt the current user, includes: Extract the medical operations contained in the work order information; Based on the extracted medical operations, the system uses a knowledge graph to determine the medical consumables to be collected, and then prompts the current user.

[0029] For example, firstly, the system extracts the medical operations recorded in the work order information. Medical operations typically include structured fields such as operation name (e.g., "venous blood collection"), operation code (e.g., ICD-10 or hospital-defined code), associated site (e.g., "left forearm"), and operation frequency. The system can connect to the Hospital Information System (HIS) or Nursing Information System (NIS) to obtain the nursing work orders currently handled by the nurse in real time, and accurately extract the core operation types from them using a data parsing module. For example, the system identifies that the current patient has an operation instruction for "changing a urinary catheter."

[0030] For example, the system inputs the extracted medical operation into a pre-built knowledge graph of medical operations and consumables for retrieval, thereby determining a list of consumables matching the operation. This knowledge graph is a medical knowledge base organized in a graph structure. Nodes in the graph represent medical entities such as medical operations, consumables, indications, and contraindications, while edges represent semantic relationships between these entities. The system can utilize the inference engine in the graph to traverse downstream from the input medical operation node, searching for directly associated "required consumables" nodes, and filtering and sorting them based on patient background (such as age and underlying diseases). For instance, for the "replace urinary catheter" operation, graph inference can return items such as "urinary catheter (12Fr)," "disposable nursing pads," "sterile gloves," and "lubricant." If the system identifies the patient as a high-risk infection group, it can also push enhanced protective consumables.

[0031] For example, the system will provide the currently used user with the confirmed consumable information through a human-computer interaction interface to prompt them to retrieve the correct consumables. Prompt methods may include illuminating the indicator light on the smart consumable cabinet, highlighting the consumable image and name on the terminal display screen, or broadcasting the name via voice. Nurses can directly follow the prompts to complete the retrieval operation and then click the "Confirm Retrieval" button in the system to complete this interaction. If alternative options are available for the consumables or if the type of consumable requires a nurse's decision (such as dressing size), the system can also provide suggested options and a confirmation mechanism through the interface.

[0032] For example, this solution introduces knowledge graph technology to achieve semantic-level reasoning and matching between medical procedures and consumables. This not only breaks through the static limitations of traditional consumable binding tables but also possesses strong scalability and adaptability. Its principle is based on graph computing combined with a semantic association reasoning framework, which can significantly improve the intelligence and personalization of consumable recommendations; it can adapt to differences in task types, individualized nursing needs, and upgrades in consumable types within hospital workflows; it reduces the memory burden on nurses, lowers the risk of omissions, and improves operational efficiency.

[0033] In some examples, determining the medical consumables to be collected based on the medical operations contained in the work order information, in order to prompt the current user, includes: Based on the medical operations contained in the work order information, determine the medical consumables to be collected, and automatically display the list of medical consumables to be collected; and / or The medical consumables to be collected and their location are displayed in the user interface of the medical consumables storage space.

[0034] For example, after identifying the user and successfully linking the current nursing task work order information, the system automatically extracts the medical operation information contained in the work order and determines the list of medical consumables to be collected based on this operation information. The system then automatically displays this list on the user interface to prompt the current user. Specifically, nursing work orders typically record the treatment or nursing operations required for the target patient in structured data form, such as "changing IV tubing," "cleaning wounds," and "drawing blood for testing." The system automatically identifies the operation content by calling API interfaces or local cached data and inputs the operation as a keyword into the constructed operation-consumable mapping model. This mapping model can use knowledge graphs, hash index tables, or entity relationship graphs trained based on graph neural networks to achieve rapid reasoning and accurate matching from medical operations to the consumable list. After completing the mapping, the system automatically generates and displays the matching results as a "list of medical consumables to be collected," with prompts including consumable names, recommended quantities, cabinet storage locations, and image-assisted recognition information. Nurses can directly obtain the complete list of consumables required for this task without manually searching or entering any query conditions. The notification methods may include pop-up windows on smart terminals, push notifications from mobile apps, voice broadcasts, or automatic display on the smart cabinet screen.

[0035] Understandably, this method automates the entire process before consumables are dispensed, preventing nurses from missing or mis-dispensing consumables due to busy schedules, lack of experience, or night shifts. The technical benefits of this design are primarily: first, it simplifies nurses' procedures and improves the efficiency of consumable dispensing; second, it enhances the accuracy and standardization of consumable usage through standardized matching; and third, it enhances the convenience and responsiveness of human-computer interaction, making it particularly suitable for peak hours and multi-tasking clinical scenarios.

[0036] For example, the user interface of the medical consumables storage space displays the medical consumables to be collected and their specific locations in real time. Specifically, after successful identification of the current user (e.g., a nurse), the system obtains the work order information corresponding to the user's current nursing task and extracts the medical operation content from it. Based on preset task-consumable mapping rules or knowledge graphs, the system quickly infers and generates a list of consumables corresponding to the medical operation, and matches this list with the consumables storage database to locate the storage location information of each consumable in the actual physical space. The storage location information may include the consumable cabinet number, drawer level, compartment number, and even RGB color code. The system will display the name, recommended quantity, and physical location of the consumable to be collected in the consumable cabinet in a visual manner on the corresponding interactive interface (e.g., touch screen, embedded display, nurse tablet terminal, etc.) within the medical consumables storage space. For example, when a nurse is about to perform an "indwelling needle replacement" operation, the system automatically displays graphic and textual information such as "indwelling needle (18G) - cabinet C, 2nd floor, 4th compartment" and "disposable infusion patch - cabinet B, 3rd floor, 1st compartment" on the screen, and can optionally add storage location diagrams or light-up prompts to achieve visual association between personnel, location, and storage location.

[0037] Understandably, by linking and integrating the semantic and physical mappings between work order content and the consumables inventory, information flow (consumable types) and logistics (consumable locations) are presented synchronously, reducing cognitive burden and search time. This greatly improves nurses' efficiency in identifying and retrieving target consumables during busy clinical work; displays storage locations to avoid common operational problems such as mis-retrieving, incorrect taking, and retrieving items from different floors; and enhances the human-computer interaction experience of the consumables system, making the entire consumables retrieval process more intuitive, efficient, and user-friendly, adapting to the high-time-efficiency needs of intelligent wards, ICUs, emergency rooms, and other similar scenarios.

[0038] In some examples, it also includes: Image information of the medical consumables storage space is collected to identify the types and quantities of medical consumables in the storage space based on the image information; After users collect, return, or replenish medical consumables, an inventory of the types and quantities of medical consumables in the storage space is conducted.

[0039] For example, by deploying high-definition cameras or multi-angle image acquisition devices in medical consumable cabinets or storage areas, the system can automatically capture images of the storage area before and after nurses retrieve, return, or replenish consumables. The image recognition module analyzes the acquired images in real time based on pre-trained deep learning models (such as YOLO, EfficientNet, ResNet, etc.), identifying packaging features, label information, color, and shape of different types of medical consumables, and calculating the corresponding quantities by combining spatial distribution features in the images with a reference scale. For example, the system can accurately identify inventory data such as "6 18G indwelling needles," "10 transparent dressings," and "2 50mL syringes remaining." The technical principle of this step is based on image target detection and quantity estimation, achieving consumable status perception through static image or continuous frame difference analysis. Its advantage lies in the fact that it eliminates the need for costly sensors such as RFID attached to the consumables themselves, and it is also applicable to transparently packaged and barcode-free consumables.

[0040] For example, after a user completes operations such as retrieving, returning, or replenishing medical consumables, the system will automatically re-capture images of the current consumable storage space and compare and update the types and quantities of medical consumables to achieve automatic inventory and dynamic inventory synchronization. In specific implementation, when a nurse confirms the completion of the retrieval operation via the screen, or when a replenishment personnel performs a replenishment registration, the system can set an image acquisition window with a delay of approximately 3-5 seconds to ensure that the personnel have completed the operation and the items have been returned to their places before image acquisition, thereby improving recognition accuracy. The system compares the newly identified consumable status with the status before the operation, automatically calculates the changes in consumables, and verifies consistency with the nurse's retrieval list. If it detects that a consumable has not been retrieved but the quantity has changed, the system can prompt the user to confirm whether there was any omission in scanning or misoperation, and record the information in the log for subsequent auditing.

[0041] Understandably, a non-intrusive inventory sensing mechanism that compares pre- and post-contamination states through image recognition, unlike traditional RFID or manual barcode scanning, offers advantages such as flexible deployment, strong adaptability, and the ability to identify a wide range of items. It significantly improves the real-time performance and automation of consumable inventory status sensing, reducing the frequency and error rate of manual inventory checks; it enables visualization, verification, and traceability of actions such as receiving, returning, and replenishing; and it assists hospital supply management systems (such as SPD) in achieving automated inventory management, stockout warnings, and expiration reminders, thereby improving overall operational efficiency and safety.

[0042] For example, the system is equipped with cameras to periodically collect images of the medical consumables storage space, and uses image recognition algorithms to automatically identify the types and remaining quantities of various consumables. Simultaneously, the system can read the expiration date information on the outer packaging of consumables to identify items nearing their expiration date. If the quantity of a certain type of consumable falls below a preset minimum inventory threshold, or if consumables are nearing their expiration date, the system will automatically generate a warning message and send a pop-up reminder or push notification through the user interface or the backend management terminal. Through this method, automatic identification, intelligent screening, and timely warnings of consumable inventory status can be achieved, effectively mitigating the workload and time waste caused by traditionally relying on manual daily checks of consumable status. This improves the intelligence and timeliness of consumable management, reduces material waste, and minimizes clinical usage risks.

[0043] In some examples, it also includes: Based on the medical operations contained in the work order information, determine the medical consumables to be collected, and calculate the theoretical types and quantities of medical consumables in the medical consumable storage space after the current user collects the medical consumables. After the user retrieves the medical consumables, the actual types and quantities of medical consumables in the storage space are determined based on the image information, so as to generate a prompt message if the theoretical types and quantities of medical consumables do not match the actual types and quantities of medical consumables. The notification message is displayed in the user interface of the medical consumables storage space and / or sent to the management terminal of the medical consumables storage space.

[0044] For example, the system extracts the specified medical operation content based on the nursing work order associated with the user's identity, and then calls the operation-consumables mapping knowledge base to automatically generate a list of consumables to be collected. The system further combines the initial quantity of each type of consumable in the current consumable cabinet (obtained through the last inventory or replenishment record) to calculate the quantity of each consumable that should remain after this collection, thus generating the "theoretical inventory status". For example, if the "intravenous infusion operation" requires the collection of "1 infusion set and 1 bottle of 500ml saline", and there are 10 infusion sets remaining before collection, then the theoretical remaining quantity should be 9 sets. The technical principle of this step is based on a task-driven consumable consumption prediction model, and its technical effect is to provide basic data support for subsequent comparisons and realize the construction of the expected model before dynamic inventory updates.

[0045] For example, after a user completes the consumable retrieval process, the system uses a camera or image acquisition module deployed inside the consumable cabinet to acquire image information of the current consumable storage space. It then uses a target recognition model (such as YOLOv8, Faster R-CNN, etc.) to identify the type and quantity of various consumables, thus obtaining the actual types and quantities of medical consumables. The system then compares the image recognition results with the theoretical inventory status. If a discrepancy is detected in the type or quantity of a consumable (e.g., theoretically 9 items remaining, but actually identified as 10 or 8), it considers an abnormal operation to have occurred. This may include taking too many, taking too few, falsely reporting successful retrieval without taking, taking the wrong consumable, or other system / human errors.

[0046] For example, when a discrepancy is detected between the theoretical inventory and the actual inventory, the system will automatically generate a prompt message. The prompt message may include: the type of abnormal consumable, the required quantity, the actual quantity, the associated task and nurse, and a timestamp. This prompt message will be sent to two dimensions: (1) displayed in real time in the user interface of the medical consumable storage space, prompting the current operator to confirm or remedy the situation immediately; (2) simultaneously sent to the backend management platform (such as the consumable management system, the nursing department workbench, the SPD system backend, etc.) to facilitate the management personnel to review, record, and track the information. The prompt in the interactive interface may be in the form of a pop-up window, red highlight, or voice broadcast. After receiving the message, the management end can set an abnormal classification label, trigger an early warning process, or send supplementary instructions.

[0047] Understandably, based on a dual inventory model combining theory and practice, an image recognition differential mechanism, and the context of medical tasks, intelligent verification of consumable changes throughout the entire process can be achieved. This improves the compliance and accuracy of consumable operations, effectively preventing operational errors such as incorrect issuance, omissions, and misplacement; it enables automatic identification and feedback of abnormal operations, eliminating the need for manual review and inventory checks, thus significantly improving management efficiency; it supports a traceability and accountability mechanism for the entire consumable usage process, facilitating future quality assessment and accountability analysis; and it expands the technical solution into a closed-loop intelligent consumable monitoring system with self-correcting capabilities, adapting to the intelligent operation and maintenance needs of modern hospitals.

[0048] In some examples, it also includes: The remaining types and quantities of medical consumables determined after inventory are compared with the preset types and quantities of medical consumables; A prompt message is generated when the quantity of a target medical consumable type is lower than the preset quantity of that target medical consumable type.

[0049] For example, the remaining types and quantities of medical consumables determined through image recognition or other inventory methods are compared with the preset safety stock thresholds for various medical consumables in the system (i.e., preset types and quantities of medical consumables). If the remaining quantity of a target medical consumable type is lower than the preset quantity, the system will automatically generate a prompt message. Specifically, the system can set a set of safety stock parameters for each type of consumable in the database, including the minimum safety quantity (e.g., replenishment is required when the quantity is less than 10), the recommended replenishment quantity, and the replenishment cycle. This data is configured and set by the materials management department based on the department's daily consumable usage frequency, average consumption cycle, and replenishment cycle. After the system completes a consumable inventory operation (e.g., image recognition inventory, weight sensing, or electronic tag collection), it compares the actual remaining quantity of each consumable with the preset lower limit of the corresponding consumable item by item.

[0050] For example, if the actual remaining quantity of a certain medical consumable (such as "transparent dressing") is 7, while the preset minimum safety stock quantity is 10, the system will immediately determine that the consumable is in short supply and trigger the replenishment warning mechanism. The system will generate a low inventory warning message, which may include: consumable name, current quantity, threshold quantity, recommended replenishment quantity, cabinet number, department, and suggested replenishment deadline. The warning message can be sent in two ways: (1) displayed in real time on the interactive interface of the medical consumable storage space to remind replenishment personnel to pay attention to items that are about to run out; (2) sent synchronously to the back-end management platform, supply chain system, or third-party logistics system to trigger the automatic replenishment process or notify warehouse personnel to replenish manually.

[0051] Understandably, the inventory risk perception mechanism based on dynamic inventory count results and threshold rule comparisons, unlike periodic manual inventory counts, enables continuous monitoring and immediate response to the inventory status of medical consumables. This enhances the proactiveness of the consumables management system, preventing problems from arising only after consumables have been depleted; optimizes inventory turnover efficiency, supports refined replenishment decisions, and reduces the risks of stockpiling and expiration; and builds a safe and predictable consumables guarantee mechanism, particularly suitable for high-risk, high-frequency use scenarios such as ICUs, emergency rooms, and operating rooms, ensuring the continuity and reliability of clinical use.

[0052] According to some embodiments, it also includes: When the medical consumables storage space is unlocked and the current user inputs a medical operation type through the user interface of the medical consumables storage space, the medical consumables to be collected are determined based on the medical operation type, and the current user is prompted.

[0053] For example, when the medical consumables storage space is unlocked and the system receives the type of medical operation input by the current user through the user interface of the medical consumables storage space, the system will determine the medical consumables to be collected based on the input type of medical operation and provide feedback to the current user in a prompt manner.

[0054] For example, if a nurse successfully unlocks the consumables cabinet via identity verification, and the system cannot automatically retrieve nursing work order information due to network fluctuations, interface anomalies, or unbound patient information, an alternative path can be provided. This allows the user to actively select or input the type of medical operation to be performed in the interactive interface. This interface may include a drop-down menu for operation categories (such as "intravenous infusion," "wound dressing," and "catheter insertion"), voice recognition input, or direct manual input of operation keywords. Upon receiving the operation type, the system calls upon the built-in operation-consumables mapping rule base or knowledge graph to quickly match a list of standard consumables associated with that operation.

[0055] For example, the system displays the information of the consumables to be collected in a graphic and textual format on the interactive interface, including the consumable name, recommended quantity, and its specific location in the storage space. If necessary, it can also use storage location indicator lights to assist in positioning. For instance, when a user selects the "Wound Cleaning and Dressing Change" operation on the interactive interface, the system can automatically pop up a prompt: "Please collect 2 sterile dressings, 1 cotton swab pack, 1 iodine cotton ball, and 1 glove," and indicate its location in the storage compartment. The technical principle of this step is that when the system cannot automatically obtain the work order from the nursing information system, it triggers an alternative path through user input and uses a mapping model to ensure the accuracy of the recommendation, forming a complete closed-loop interactive mechanism. This enhances the system's robustness and fault tolerance, ensuring that consumables can still be recommended normally even in special circumstances; it gives nurses greater operational initiative and improves human-machine collaboration efficiency; it ensures the accuracy and completeness of consumable use in non-standard task scenarios such as emergency rooms, temporary operations, and special patients, significantly improving the practicality and acceptance of the consumable management system in clinical practice.

[0056] In some embodiments, to avoid nurses experiencing delays or mis-collection of consumables due to improper stacking order, the system further introduces a consumable usage order perception and reverse-order prompting mechanism. Specifically, based on the usage order of medical consumables corresponding to the medical operation type, the system sequentially prompts the current user to retrieve medical consumables, with the prompted retrieval order being the reverse of the actual usage order. Specifically, after the nurse selects the upcoming medical operation type through the interactive interface or the system automatically identifies it, the system first extracts all types of medical consumables required for the operation and their recommended quantities from the operation-consumable knowledge graph. Simultaneously, it retrieves the standard consumable usage process template for the operation, which records the usage sequence of each consumable, such as using drapes first, then gloves, then syringes, and finally dressings. Subsequently, the system reverses the usage order to form a reverse prompting order, prompting the nurse to retrieve consumables starting with the last used consumable. This ensures that the first consumable retrieved is naturally covered by other subsequent consumables in the physical space, avoiding frequent searching, cross-contamination, or delays in the operation process during clinical use. The system can sequentially highlight each consumable and its corresponding storage location on the interactive interface, and automatically proceed to the next consumable after the user confirms receipt, ensuring that consumables are retrieved in order. Simultaneously, the system can also enhance the intuitiveness of the process through voice prompts and sequential lighting of storage location lights. After the user completes the retrieval of all prompted consumables, the system will immediately initiate an image recognition or sensor inventory program to perform a real-time inventory of the types and quantities of medical consumables in the current storage space and update the inventory database. This inventory result is not only used for inventory management but also serves as the basis for subsequent operational verification and theoretical-to-actual matching.

[0057] Understandably, the physical stacking reverse-order guidance strategy based on the timing of consumable operations integrates clinical operation process optimization, interaction sequence design, and visual / image-assisted perception technology. This significantly reduces the frequency with which nurses interrupt the process to search for items during surgery or nursing due to disordered consumable stacking order; improves retrieval efficiency and clinical operation continuity, especially in aseptic operations and high-pressure operations (such as puncture and emergency care) to avoid infection risks; and enhances the integration of the interactive system with real clinical processes, reflecting the design concept of an intelligent auxiliary system that understands clinical practice, can guide, and can optimize.

[0058] According to some implementations, to better reflect actual clinical work scenarios and improve the usability and clinical guidance value of inventory counting, the system, when conducting consumable inventory, does not simply count the types and quantities of remaining consumables in the storage space item by item. Instead, it uses medical operation type as the calculation unit and estimates the number of times different medical operation types can be supported based on the current remaining consumable resources. Specifically, the system pre-sets a list of consumable combinations and minimum consumable quantities required for each standard medical operation type. For example, "intravenous blood collection" requires "1 blood collection needle, 1 vacuum blood collection tube, 1 cotton swab, and 1 tourniquet," while "urinary catheterization" requires "1 urinary catheter, 1 lubricant, 1 disposable glove, and 1 leak-proof pad." After completing a real-time inventory (e.g., based on image recognition, weight sensing, or electronic counting modules to identify the current remaining quantity of each consumable), the system does not directly output the remaining quantity of each type of consumable. Instead, it iteratively calculates the minimum consumable combination requirements for each operation against the current consumable inventory.

[0059] For example, the system uses a grouping and matching calculation process to sequentially traverse the standard consumable configuration list for each type of medical operation. Without splitting the consumables required for the task, it calculates the maximum number of operations that the current inventory can support. For instance, if the current inventory contains 12 lancets, 10 tourniquets, 20 packs of cotton swabs, and 14 blood collection tubes, the system determines that "venous blood collection" can be performed a maximum of 10 times (limited by the tourniquet). If there are 4 urinary catheters remaining, 6 bottles of lubricant remaining, 30 pairs of gloves, and 10 anti-leakage pads remaining, the system calculates that "urinary catheterization" can be performed a maximum of 4 times. Finally, the system presents different operation types and their corresponding maximum number of supported times on the user interface or synchronizes them to the backend management system for replenishment scheduling reference.

[0060] Understandably, this method transforms the traditional static inventory of consumables into a dynamic availability assessment based on tasks, essentially a calculation of the maximum feasible task combination under consumable structure constraints. This makes inventory results more closely reflect actual nursing and treatment processes, allowing nurses to clearly understand "how many more times a certain task can be performed," rather than just seeing "how many items remain." It facilitates dynamic inventory-based assessments and prioritization by nursing station or material dispatch personnel during work scheduling or task assignment. Furthermore, it supports smarter replenishment strategies, such as prioritizing the replenishment of scarce consumables that constrain critical tasks, improving material utilization efficiency, and preventing critical task interruptions.

[0061] Please see Figure 2 One embodiment of the intelligent management device for medical consumables in this application may include: The identification unit 21 is used to identify the current user's identity information so as to unlock the medical consumables storage space if the identity information matches the pre-stored identity information. The query unit 22 is used to query work order information associated with the pre-stored identity information matched by the current user. The prompting unit 23 is used to determine the medical consumables to be collected based on the medical operations contained in the work order information, so as to prompt the current user.

[0062] In summary, the intelligent medical consumables management device provided in this application unlocks the medical consumables storage space by identifying the current user's identity information and matching it with pre-stored identity information. Based on the pre-stored identity information matched with the current user, it queries work order information associated with the pre-stored identity information. It then determines the medical consumables to be collected based on the medical operations contained in the work order information and prompts the current user accordingly. The original method relied on nurses' memory, which could lead to omissions due to fatigue or unfamiliarity with the procedure. The system automatically matches and recommends consumables, effectively improving the accuracy of collection and reducing duplicate collections. Through the identity recognition and pre-stored information matching mechanism, it ensures that only authorized nurses can access the consumables storage space, effectively preventing accidental collection and unauthorized operations, and improving the security and traceability of consumables management. By linking with the work order system, it automatically identifies the patient care tasks or treatment operations actually performed by the current user, avoiding manual judgment and matching operations, and improving task consistency and the standardization of operational procedures. The system automatically analyzes the medical operation type in the work order and matches it with the corresponding consumable list for prompting, reducing problems such as omissions or incorrect retrieval of consumables due to nurses' lack of experience or work fatigue, thereby ensuring the integrity and standardization of clinical operations. It integrates identity recognition, task analysis, and consumable prompts into a unified process, driving consumable requisition from being driven by manual experience to being data-driven and system-guided, adapting to the needs of future hospital scenarios such as smart wards and digital operating rooms.

[0063] like Figure 3 As shown, this application embodiment also provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, it implements the steps of any of the above-mentioned methods for intelligent management of medical consumables.

[0064] Since the electronic device described in this embodiment is the device used to implement the intelligent management device for medical consumables in the embodiments of this application, those skilled in the art can understand the specific implementation method and various variations of the electronic device in this embodiment based on the method described in the embodiments of this application. Therefore, how the electronic device implements the method in the embodiments of this application will not be described in detail here. Any device used by those skilled in the art to implement the method in the embodiments of this application is within the scope of protection of this application.

[0065] In practical implementation, when the computer program 311 is executed by the processor, it can achieve the following: Figure 1 Any of the corresponding implementation methods in the embodiments.

[0066] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0067] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0068] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0069] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0070] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0071] This application also provides a computer program product, which includes computer software instructions that, when executed on a processing device, cause the processing device to perform actions such as... Figure 1 The process of intelligent management of medical consumables in the corresponding embodiment.

[0072] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0073] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0074] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0075] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0076] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0077] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0078] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A method for intelligent management of medical consumables, characterized in that, include: Identify the current user's identity information, and unlock the medical consumables storage space if the identity information matches the pre-stored identity information; Based on the pre-stored identity information matched by the current user, query the work order information associated with the pre-stored identity information; The medical consumables to be collected are determined based on the medical operations contained in the work order information, and the current user is notified accordingly.

2. The method as described in claim 1, characterized in that, The step of determining the medical consumables to be collected based on the medical operations contained in the work order information, and then prompting the current user, includes: Extract the medical operations contained in the work order information; Based on the extracted medical operations, the system uses a knowledge graph to determine the medical consumables to be collected, and then prompts the current user.

3. The method as described in claim 1, characterized in that, The step of determining the medical consumables to be collected based on the medical operations contained in the work order information, and then prompting the current user, includes: Based on the medical operations contained in the work order information, determine the medical consumables to be collected, and automatically display the list of medical consumables to be collected; and / or The medical consumables to be collected and their location are displayed in the user interface of the medical consumables storage space.

4. The method as described in claim 1, characterized in that, Also includes: Image information of the medical consumables storage space is collected to identify the types and quantities of medical consumables in the storage space based on the image information; After users collect, return, or replenish medical consumables, an inventory of the types and quantities of medical consumables in the storage space is conducted.

5. The method as described in claim 4, characterized in that, Also includes: Based on the medical operations contained in the work order information, determine the medical consumables to be collected, and calculate the theoretical types and quantities of medical consumables in the medical consumable storage space after the current user collects the medical consumables. After the user retrieves the medical consumables, the actual types and quantities of medical consumables in the storage space are determined based on the image information, so as to generate a prompt message if the theoretical types and quantities of medical consumables do not match the actual types and quantities of medical consumables. The notification message is displayed in the user interface of the medical consumables storage space and / or sent to the management terminal of the medical consumables storage space.

6. The method as described in claim 4, characterized in that, Also includes: The remaining types and quantities of medical consumables determined after inventory are compared with the preset types and quantities of medical consumables; A prompt message is generated when the quantity of a target medical consumable type is lower than the preset quantity of that target medical consumable type.

7. The method according to any one of claims 1 to 6, characterized in that, Also includes: When the medical consumables storage space is unlocked and the current user inputs a medical operation type through the user interface of the medical consumables storage space, the medical consumables to be collected are determined based on the medical operation type, and the current user is prompted.

8. A smart management device for medical consumables, characterized in that, include: The identification unit is used to identify the current user's identity information so that the medical consumables storage space can be unlocked if the identity information matches the pre-stored identity information. The query unit is used to query work order information associated with the pre-stored identity information matched by the current user. The prompting unit is used to determine the medical consumables to be collected based on the medical operations contained in the work order information, so as to prompt the current user.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program stored in the memory, implements the steps of the intelligent management method for medical consumables as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the intelligent management method for medical consumables as described in any one of claims 1-7.

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