Medical consumable monitoring management system
By using NLP and AI technologies to standardize the classification and coding of medical consumables, and combining AR and IoT to monitor inventory, the problem of non-standard classification and coding in medical consumables management has been solved, achieving efficient inventory management and accountability, and improving the hospital's management and decision-making efficiency.
Patent Information
- Application Number
- CN202510759084.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-09
- Publication Date
- 2025-11-07
Smart Images
Figure CN120913779A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of medical consumables supervision technology, specifically relating to a medical consumables monitoring and management system. Background Technology
[0002] The Medical Consumables Monitoring and Management System is an information technology tool based on computer technology and automated management technology. By integrating multiple functions, it achieves comprehensive, detailed, and precise management of medical consumables within a hospital. This system can efficiently and accurately record, classify, statistically analyze, and monitor the usage of medical consumables, monitoring all aspects of procurement, warehousing, dispensing, use, inventory, and disposal. It provides hospitals with accurate and timely decision support, thereby reducing medical costs and improving medical quality and management efficiency.
[0003] While current medical consumables monitoring and management systems have improved hospital management efficiency to some extent, the following problems still exist:
[0004] The lack of clear operating procedures and accountability mechanisms may lead to oversights or errors by staff when using the system, and it may be impossible to assign responsibility to individuals.
[0005] There are many types of medical consumables. If the classification standards for consumables are not uniform or the coding rules are unclear, it may cause errors in the system when identifying and recording consumables.
[0006] Because the use of medical consumables involves multiple business systems, the inability of these systems to interconnect creates an information silo effect. This results in the inability to transmit and share monitoring and management data for medical consumables in a timely and accurate manner, affecting the efficiency of decision-making and execution. Summary of the Invention
[0007] The purpose of this invention is to provide a medical consumables monitoring and management system to solve the problems mentioned in the background art, such as incomplete management system and operating procedures, non-standard classification and coding of medical consumables, and information system silo effect.
[0008] To achieve the above objectives, the present invention provides the following technical solution: a medical consumables monitoring and management system, which includes a main control terminal, and...
[0009] NLP and Data Standardization Unit: This unit uses NLP technology to analyze the descriptions of medical consumables, identify their key features, and map them to a predefined classification and coding system. It automatically classifies them and assigns standardized codes, and identifies and corrects erroneous descriptions or inconsistent codes in the system.
[0010] The AI optimization accountability unit simulates and optimizes the use process of medical consumables through AI algorithms, automatically generates the optimal operation process, and allocates the corresponding responsibilities. Once an exception or violation occurs in the process, the system issues an alarm and records the information of the relevant person in charge;
[0011] The inventory management module collects real-time inventory data of medical consumables through Internet of Things sensors. When the inventory is insufficient or the consumables are close to the expiration date, the system can automatically trigger a warning mechanism;
[0012] The AR visualization interaction module realizes real-time visualization of medical consumables through AR technology, and checks the inventory and use status information of consumables through AR devices, and performs interactive operations such as applying for consumables and approving use in the AR interface;
[0013] The intelligent collaborative work module automatically identifies, analyzes and records various information of medical consumables, realizes real-time updating and sharing of data, and supports seamless docking and collaborative work between various departments within the hospital;
[0014] The privacy protection module uses HTTPS, TLS encryption algorithm and protocol to ensure the security of data transmission, and performs identity verification and permission management on users.
[0015] As a preferred technical solution in the present application, the NLP and data standardization unit comprises:
[0016] The NLP processing module is used for pre-processing the description text of medical consumables, including removing irrelevant characters, word segmentation, and part-of-speech tagging, to improve the accuracy of subsequent processing, and using a large amount of medical consumables description text as training data to train the model through supervised learning. In the training process, a suitable loss function and optimizer need to be defined to optimize the model parameters;
[0017] The data standardization module maps the classification results output by the NLP processing module into a predefined coding system to generate standardized medical consumable codes, and uses predefined rules to detect and repair data errors such as range checking, format checking, and data consistency checking. The standardized data is verified to ensure the accuracy and consistency of the data, and the data is updated as needed.
[0018] As a preferred technical solution in the present application, the NLP processing module performs text cleaning and word segmentation processing by using an NLP toolkit.
[0019] As a preferred technical solution in the present application, the AI optimization accountability unit further comprises:
[0020] The blockchain module is used to ensure the transparency and non-tamperability of accountability;
[0021] A responsibility tracking module for recording and tracking the operation history, decision-making process, and related data input and output of the AI system;
[0022] An optimization module responsible for optimizing and improving the AI system based on the information provided by the responsibility tracking module.
[0023] As a preferred technical solution in the present application, the inventory management module includes recording the quantity, location, and expiration date of medical consumables.
[0024] As a preferred technical solution in the present application, the intelligent collaborative work module forms an intelligent platform that integrates monitoring, analysis, early warning, and collaborative work. This platform can automatically identify, analyze, and record various information of medical consumables, realizing real-time updating and sharing of data.
[0025] As a preferred technical solution in the present application, the inventory management module installs RFID tags or sensors on consumables, uploads data to the cloud server through wireless networks, and uses big data analysis algorithms to monitor and predict inventory data in real time.
[0026] As a preferred technical solution in the present application, the monitoring and management system has the following application steps:
[0027] In use, the specific steps are as follows: consumable storage: after new consumables arrive at the hospital, they are analyzed and classified by NLP and the data standardization unit, and are given standardized codes; the inventory management module records the inventory information of the consumables;
[0028] Consumable use: the staff checks the inventory and use status of the consumables through the AR visual interaction module, and applies and uses them as needed; the AI optimization responsibility tracking module monitors the entire use process to ensure compliance and traceability of the process;
[0029] Inventory warning: when the consumable inventory is insufficient or close to the expiration date, the inventory management module automatically triggers the warning mechanism to notify relevant departments for replenishment or processing;
[0030] Data analysis and decision-making: the intelligent collaborative work module deeply mines and analyzes the use data of consumables to provide decision support for hospital management. At the same time, departments realize seamless connection and collaborative work through the platform;
[0031] Data security and privacy protection: throughout the process, the privacy protection module ensures the security and privacy of data to prevent data leakage or misuse.
[0032] Compared with the prior art, the present application has the following advantages:
[0033] Through the design of the present application, the hospital can significantly improve its management efficiency and decision-making level; first, the system realizes the standardized classification and coding of medical consumables through natural language processing and artificial intelligence technology, effectively avoiding recognition errors caused by non-uniform classification standards or unclear coding rules; second, the application of Internet of Things technology enables real-time updating of inventory data, ensuring timely replenishment and effective management of consumables, reducing inventory costs; at the same time, the introduction of augmented reality technology enables staff to intuitively view the inventory and usage of consumables, improving operation efficiency and accuracy; in addition, the system also has the ability of intelligent monitoring and collaborative work, which can automatically identify abnormalities and violations in the process, issue warnings in time, and record the information of the relevant person in charge, providing strong support for accountability; through data analysis, the system can also provide accurate decision support for hospital management, such as optimizing consumable procurement plans, reducing usage costs, and the system strengthens the protection of data security and privacy, ensuring that sensitive data is not leaked or misused, improving the credibility and patient satisfaction of the hospital. BRIEF DESCRIPTION OF DRAWINGS
[0034] Figure 1 The system diagram of the present application. DETAILED DESCRIPTION
[0035] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.
[0036] Please refer to Figure 1 The present application provides a technical solution: a medical consumable monitoring and management system, which comprises a master control terminal, and
[0037] The NLP and data standardization unit uses NLP technology to analyze the description of medical consumables, identifies the key features of medical consumables, and maps them to a predefined classification and coding system, automatically classifies and assigns standardized codes, and identifies and corrects incorrect descriptions or inconsistent codes in the system;
[0038] The AI optimization accountability unit simulates and optimizes the use process of medical consumables through AI algorithms, automatically generates the optimal operation process, and assigns the corresponding responsibilities. Once there is an abnormality or violation in the process, the system issues an alarm and records the information of the relevant person in charge;
[0039] The inventory management module collects real-time inventory data of medical consumables through Internet of Things sensors. When the inventory is insufficient or the consumables are close to the expiration date, the system can automatically trigger a warning mechanism.
[0040] The AR visualization interaction module uses AR technology to realize real-time visualization of medical consumables and allows users to view the inventory and usage status of consumables through AR devices and perform interactive operations such as applying for consumables and approving usage on the AR interface.
[0041] The intelligent collaborative work module automatically identifies, analyzes, and records various information of medical consumables, realizes real-time updating and sharing of data, and supports seamless connection and collaborative work between different departments within the hospital.
[0042] The privacy protection module uses HTTPS, TLS encryption algorithms and protocols to ensure the security of data transmission and performs identity verification and permission management on users.
[0043] In this embodiment, the NLP and data standardization unit includes:
[0044] The NLP processing module is used to preprocess the description text of medical consumables, including removing irrelevant characters, word segmentation, and part-of-speech tagging to improve the accuracy of subsequent processing. A large number of medical consumable description texts are used as training data to train the model through supervised learning. During the training process, appropriate loss functions and optimizers are defined to optimize the model parameters.
[0045] The data standardization module maps the classification results output by the NLP processing module into a predefined coding system to generate standardized medical consumable codes. Predefined rules are used to detect and repair data errors such as range checks, format checks, and data consistency checks. The standardized data is verified to ensure accuracy and consistency, and data updates are performed as needed.
[0046] In this embodiment, the NLP processing module uses NLP toolkits for text cleaning and word segmentation processing.
[0047] In this embodiment, the AI optimization accountability unit also includes:
[0048] The blockchain module is used to ensure the transparency and tamper-proofing of accountability;
[0049] The accountability tracking module is used to record and track the operation history, decision-making process, and related data input and output of the AI system;
[0050] The optimization module is responsible for optimizing and improving the AI system based on the information provided by the accountability tracking module.
[0051] In this embodiment, the inventory management module records the quantity, location, and expiration date of medical consumables.
[0052] In this embodiment, the intelligent collaborative work module is formed by building an intelligent platform that integrates monitoring, analysis, early warning, and collaborative work. This platform can automatically identify, analyze, and record various information of medical consumables, realize real-time updating and sharing of data.
[0053] In this embodiment, the inventory management module installs RFID tags or sensors on consumables, uploads data to the cloud server through wireless networks, and uses big data analysis algorithms to monitor and predict inventory data in real time.
[0054] In this embodiment, the monitoring and management system is applied as follows:
[0055] In use, the specific steps are as follows: consumable storage: when new consumables arrive at the hospital, they are analyzed and classified by NLP and the data standardization unit, and are given standardized codes; the inventory management module records the inventory information of the consumables;
[0056] Consumable use: staff can view the inventory and usage status of consumables through the AR visual interaction module, and apply and use as needed; the AI optimization accountability module monitors the entire use process to ensure compliance and traceability of responsibilities;
[0057] Inventory warning: when the consumable inventory is insufficient or close to expiration, the inventory management module automatically triggers the warning mechanism to notify relevant departments to replenish or handle;
[0058] Data analysis and decision-making: the intelligent collaborative work module deeply mines and analyzes the use data of consumables to provide decision support for hospital management. At the same time, departments can seamlessly connect and work together through this platform;
[0059] Data security and privacy protection: throughout the process, the privacy protection module ensures the security and privacy of data to prevent data leakage or misuse.
[0060] Although embodiments of the present application have been shown and described (see the detailed description above), it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.
Claims
1. A medical consumable monitoring and management system, characterized by: The monitoring management system comprises a master terminal, and The NLP and data standardization unit uses NLP technology to analyze the description of medical consumables, identify the key features of medical consumables, and map them to a predefined classification and coding system, automatically classify and assign standardized codes, and identify and correct errors or inconsistent codes in the system; The AI optimization accountability unit simulates and optimizes the use process of medical consumables through AI algorithms, automatically generates the optimal operation process, and assigns the corresponding responsibilities. Once there is an exception or violation in the process, the system will issue an alarm and record the information of the relevant person in charge; The inventory management module collects real-time inventory data of medical consumables through Internet of Things sensors. When the inventory is insufficient or the consumables are close to the expiration date, the system can automatically trigger a warning mechanism; The AR visualization interaction module realizes real-time visualization of medical consumables through AR technology, and allows users to view the inventory status, use status information of the consumables, and interact on the AR interface; The intelligent collaborative work module automatically identifies, analyzes and records various information of medical consumables, realizes real-time updating and sharing of data, and supports seamless connection and collaborative work between various departments within the hospital; The privacy protection module uses HTTPS, TLS encryption algorithm and protocol to ensure the security of data transmission, and performs identity verification and permission management on users.
2. The medical supply monitoring and management system of claim 1, wherein: The NLP and data standardization unit comprises: The NLP processing module is used for preprocessing the description text of medical consumables, including removing irrelevant characters, word segmentation, and part-of-speech tagging, to improve the accuracy of subsequent processing. A large amount of medical consumable description text is used as training data to train the model through supervised learning. During the training process, a suitable loss function and optimizer are defined to optimize the model parameters; The data standardization module maps the classification results output by the NLP processing module into a predefined coding system to generate standardized medical consumable codes. Predefined rules are used to detect and repair data errors. The standardized data is verified to ensure accuracy and consistency, and updated as needed.
3. The medical supply monitoring and management system of claim 1, wherein: The NLP processing module uses NLP toolkit for text cleaning and word segmentation processing.
4. The medical supply monitoring and management system of claim 1, wherein: The AI optimization accountability unit further comprises: The blockchain module is used to ensure the transparency and tamper resistance of accountability; The responsibility tracking module is used to record and track the operation history, decision-making process and related data input and output of the AI system; The optimization module is responsible for optimizing and improving the AI system based on the information provided by the responsibility tracking module.
5. The medical supply monitoring and management system of claim 1, wherein: The inventory management module records the quantity, location and expiration date of medical consumables.
6. The medical supply monitoring and management system of claim 1, wherein: The intelligent collaborative work module forms an intelligent platform integrating monitoring, analysis, early warning and collaborative work. The platform can automatically identify, analyze and record various information of medical consumables, realize real-time updating and sharing of data.
7. The medical supply monitoring and management system of claim 1, wherein: The inventory management module installs RFID tags or sensors on consumables, uploads data to a cloud server through a wireless network, and uses big data analysis algorithms to monitor and predict inventory data in real time.
8. The medical supply monitoring and management system of claim 1, wherein: The steps of applying the monitoring management system are as follows: In use, the specific steps are as follows: consumable storage: after the new consumables arrive at the hospital, they are analyzed and classified by NLP and data standardization unit, and are given standardized coding; the inventory management module records the inventory information of the consumables; Consumable use: staff can check the inventory and use status of consumables through the AR visual interaction module, and apply and use as needed; the AI optimization accountability module monitors the entire use process to ensure compliance and traceability of responsibilities; Inventory warning: when the consumable inventory is insufficient or close to the expiration date, the inventory management module automatically triggers the warning mechanism to notify the relevant departments to supplement or handle; Data analysis and decision-making: the intelligent collaborative work module deeply mines and analyzes the use data of consumables to provide decision support for hospital management. At the same time, departments can seamlessly connect and work together through the platform; Data security and privacy protection: throughout the process, the privacy protection module ensures the security and privacy of data to prevent data leakage or misuse.