Medical instrument full-period tracing method and system based on edge calculation
Through the full-cycle traceability method of medical devices based on edge computing, using RFID technology and central management system, the problems of low efficiency and difficulty in tracking of traditional medical device management methods are solved, and the full life cycle management and efficient data processing of medical devices are realized.
Patent Information
- Application Number
- CN202411605368.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-12
- Publication Date
- 2025-03-21
AI Technical Summary
Traditional medical device management methods rely on manual recording and manual operation, which have problems such as low efficiency, error prone and difficult to track, making it difficult to trace and manage the entire life cycle of medical devices.
The full-cycle traceability method of medical devices based on edge computing is adopted to realize automatic identification and information collection of medical devices through RFID technology. Combined with the real-time data processing capabilities of edge computing devices, the use patterns and potential problems of medical devices are identified, predictive maintenance suggestions and alarm information are generated, and data storage and management are carried out through the central management system.
It realizes the full life cycle management of medical devices, improves management efficiency and intelligence level, enhances real-time monitoring capabilities and full life cycle management capabilities, provides predictive maintenance and efficient data processing capabilities, and improves data security and user-friendliness.
Smart Images
Figure CN119671580A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of medical device management, and in particular to a full-cycle traceability method and system for medical devices based on edge computing. Background Art
[0002] Medical devices are indispensable tools in modern medical diagnosis, treatment and nursing. The management of medical devices involves multiple links such as procurement, storage, use, maintenance and scrapping. Effective medical device management can not only improve the utilization efficiency of medical resources, but also ensure medical safety and reduce the incidence of medical accidents.
[0003] However, traditional medical device management methods usually rely on manual records and manual operations, which are inefficient, error-prone, and difficult to track. Specifically, manual operations are time-consuming and labor-intensive, and prone to omissions and errors; paper records and manual entry lead to untimely information updates, making it difficult to grasp the status of medical devices in real time; there is a lack of unified management and tracking methods, making it difficult to trace and manage medical devices throughout their life cycle.
[0004] Therefore, how to trace and manage medical devices throughout their entire life cycle is an issue that needs to be addressed urgently. Summary of the invention
[0005] The present application provides a full-cycle traceability method and system for medical devices based on edge computing, which can trace the entire life cycle of medical devices in real time and automatically manage medical devices.
[0006] In order to achieve the above object, the present invention adopts the following technical scheme:
[0007] In a first aspect, the present invention provides a full-cycle traceability method for medical devices based on edge computing, the method comprising:
[0008] Get tag data from RFID reader;
[0009] The tag data is sent to an edge computing device, and the medical device information corresponding to the tag in the tag data is read. The edge computing device identifies the usage pattern and potential problems of the medical device according to the medical device information corresponding to the tag in the data, and generates predictive maintenance suggestions and alarm information;
[0010] Receiving the predictive maintenance suggestions and alarm information sent by the edge computing device, uploading to the central management system, the central management system stores and manages the data, and generates analysis results and reports based on the received data;
[0011] The analysis results and reports are obtained, and the analysis results and reports are sent to the user terminal device through the user interface, and then feedback information from the user terminal device is received, and the feedback information is uploaded to the central management system.
[0012] In a preferred example of the present application, it can be further configured that when the edge computing device processes the tag data, it also includes:
[0013] The label data is cleaned, integrated and verified.
[0014] In a preferred example of the present application, it can be further configured that the user interface includes a user interface of a mobile application and a user interface of a desktop application.
[0015] In a preferred example of the present application, it can be further configured that the edge computing device identifies the usage pattern and potential problems of the medical device according to the medical device information corresponding to the tag in the data, including:
[0016] The edge computing device is integrated with an AI analysis module, which uses a machine learning algorithm to intelligently analyze the usage data of medical devices to identify the usage patterns and potential problems of medical devices.
[0017] In a second aspect, the present application provides a full-cycle traceability system for medical devices based on edge computing, including an RFID module, an edge computing module, and a central management module;
[0018] The RFID module is used to read the information of the RFID tag attached to the medical device and obtain the tag data when the medical device is close to the RFID reader;
[0019] The edge computing module is used to receive and process tag data from the RFID reader;
[0020] The edge computing module includes an AI analysis unit, which uses machine learning algorithms to intelligently analyze the usage data of medical devices, identify usage patterns and potential problems, and generate predictive maintenance recommendations and alarm information;
[0021] The central management module is used to receive the predictive maintenance suggestions and alarm information sent by the edge computing device, store and manage the data, generate analysis results and reports based on the received data, send the analysis results and reports to the user-end device through the user interface, and then receive feedback information from the user-end device.
[0022] In a preferred example of the present application, it can be further configured that the edge computing module is also used to clean, integrate and verify the received label data, and the user interface of the central management module includes a user interface of the mobile application and a user interface of the desktop application.
[0023] In a third aspect, the present application provides a full-cycle traceability device for medical devices based on edge computing, the device comprising:
[0024] RFID module, used to obtain tag data from RFID reader;
[0025] An edge computing module, configured to send the tag data to an edge computing device, read the medical device information corresponding to the tag in the tag data, and the edge computing device identifies the use mode and potential problems of the medical device according to the medical device information corresponding to the tag in the data, and generates predictive maintenance suggestions and alarm information;
[0026] The analysis module is used to receive the predictive maintenance suggestions and alarm information sent by the edge computing device, upload it to the central management system, and the central management system stores and manages the data, generates analysis results and reports based on the received data; obtains the analysis results and reports, sends the analysis results and reports to the user-end device through the user interface, and then receives feedback information from the user-end device, and uploads the feedback information to the central management system.
[0027] In a fourth aspect, the present application provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the full-cycle traceability method of medical devices based on edge computing as described in any one of the above items are implemented.
[0028] In a fifth aspect, the present application provides a computer-readable storage medium having a program stored thereon, wherein when the program is executed by a processor, the edge computing-based full-cycle traceability method for medical devices as described in any one of the above items is implemented.
[0029] In a sixth aspect, the present application provides a computer program product, comprising computer instructions, which, when executed by a processor, implement the steps of the edge computing-based full-cycle traceability method for medical devices as described in any one of the above items.
[0030] In summary, compared with the prior art, the technical solution provided in the embodiment of the present application has at least the following beneficial effects:
[0031] The present application provides a full-cycle traceability method and system for medical devices based on edge computing, which realizes automatic identification and information collection of medical devices through RFID technology, and combines the real-time data processing capabilities of edge computing devices to greatly improve the efficiency of medical device management. The edge computing device can process and analyze data in real time to ensure that the status information of medical devices can be updated in real time, which is convenient for managers to make timely decisions and operations. This method combines edge computing devices and central management systems with RFID technology to manage the entire life cycle of medical devices, including data management of medical devices from procurement, storage, use to maintenance and scrapping, and realizes comprehensive tracking and management of medical devices, which not only improves management efficiency and intelligence level, but also enhances real-time monitoring capabilities and full life cycle management capabilities, provides predictive maintenance and efficient data processing capabilities, and at the same time improves data security and user-friendliness, providing medical institutions with a safe, efficient and intelligent medical device management solution. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] Figure 1 A flowchart of a full-cycle medical device tracing method based on edge computing provided for an embodiment of the present application
[0033] Figure 2 A structural diagram of a medical device full-cycle traceability system based on edge computing provided for an embodiment of the present application
[0034] Figure 3 A structural diagram of a full-cycle traceability device for medical devices based on edge computing provided in accordance with an embodiment of the present application. DETAILED DESCRIPTION
[0035] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0036] In one embodiment of the present application, a full-cycle tracing method for medical devices based on edge computing is provided. Figure 1 As shown, the method includes:
[0037] S100: Obtain tag data from the RFID reader;
[0038] Specifically, each medical device is installed with a uniquely identified RFID tag, and RFID readers are distributed in key locations of medical institutions to read the tag information of the medical device.
[0039] S200: sending the tag data to an edge computing device, reading the medical device information corresponding to the tag in the tag data, wherein the edge computing device identifies the usage pattern and potential problems of the medical device according to the medical device information corresponding to the tag in the data, and generates predictive maintenance suggestions and alarm information;
[0040] Specifically, edge computing devices are deployed near RFID readers and are responsible for receiving and processing data from RFID readers. The edge computing devices are integrated with AI analysis modules, which can analyze and process the collected data in real time to generate valuable management information. The calculation results, i.e. the generated predictive maintenance recommendations and alarm information, are then sent to the central management system.
[0041] Furthermore, when processing the tag data, the edge computing device further includes:
[0042] The label data is cleaned, integrated and verified.
[0043] This embodiment can improve the accuracy of data analysis and the efficiency of subsequent data processing.
[0044] Furthermore, the edge computing device integrates an AI analysis module, which uses a machine learning algorithm to intelligently analyze the usage data of medical devices and identify the usage patterns and potential problems of medical devices. This embodiment can improve the efficiency of data processing through the AI analysis module.
[0045] S300: receiving the predictive maintenance suggestions and alarm information sent by the edge computing device, and uploading them to the central management system, where the central management system stores and manages the data and generates analysis results and reports based on the received data;
[0046] Specifically, the central management system may be an information management system used by a hospital, which may realize centralized storage and management of data.
[0047] S400: Acquire the analysis results and reports, send the analysis results and reports to the user terminal device through the user interface, then receive feedback information from the user terminal device, and upload the feedback information to the central management system.
[0048] Specifically, the analysis results and reports are obtained from the central management system and sent to the user end device. Medical device managers can view real-time data and analysis results through the user interface, and perform corresponding operations and processing according to the maintenance suggestions and alarm information provided by the system. Then, the user's operation and feedback information are uploaded to the central management system in real time to achieve closed-loop management of data.
[0049] This embodiment uses a variety of data security technologies during data transmission to ensure the security and privacy of data during transmission and storage, including data encryption, secure transmission channels, and authority control.
[0050] Furthermore, the user interface includes a user interface of a mobile application and a user interface of a desktop application.
[0051] Specifically, the user terminal device may be a mobile phone, a computer, etc. This embodiment increases the real-time performance of full-cycle management and the convenience of data access by providing different device interfaces.
[0052] In this embodiment, RFID technology is used to realize automatic identification and information collection of medical devices, combined with the real-time data processing capabilities of edge computing devices, which greatly improves the efficiency of medical device management. The edge computing device can process and analyze data in real time to ensure that the status information of medical devices can be updated in real time, which is convenient for managers to make timely decisions and operations. This method combines edge computing devices and central management systems through RFID technology to manage the entire life cycle of medical devices, including data management of medical devices from procurement, storage, use to maintenance and scrapping, and realizes comprehensive tracking and management of medical devices. It not only improves management efficiency and intelligence level, but also enhances real-time monitoring capabilities and full life cycle management capabilities, provides predictive maintenance and efficient data processing capabilities, and at the same time improves data security and user-friendliness, providing medical institutions with a safe, efficient and intelligent medical device management solution.
[0053] This application also provides a full-cycle traceability system for medical devices based on edge computing, such as Figure 2 As shown, it includes an RFID module B100, an edge computing module B200 and a central management module B300;
[0054] The RFID module is used to read the information of the RFID tag attached to the medical device and obtain the tag data when the medical device is close to the RFID reader;
[0055] The edge computing module is used to receive and process tag data from the RFID reader;
[0056] The edge computing module includes an AI analysis unit B201, which uses a machine learning algorithm to intelligently analyze the usage data of medical devices, identify usage patterns and potential problems, and generate predictive maintenance suggestions and alarm information;
[0057] The central management module is used to receive the predictive maintenance suggestions and alarm information sent by the edge computing device, store and manage the data, generate analysis results and reports based on the received data, send the analysis results and reports to the user-end device through the user interface, and then receive feedback information from the user-end device.
[0058] In one embodiment, the edge computing module is also used to clean, integrate and verify the received tag data, and the user interface of the central management module includes a user interface of a mobile application and a user interface of a desktop application.
[0059] The functional implementation of each module in the above-mentioned edge computing-based medical device full-cycle traceability system corresponds to the steps in the above-mentioned edge computing-based medical device full-cycle traceability method embodiment, and its functions and implementation process will not be repeated here one by one.
[0060] This application also provides a full-cycle traceability device for medical devices based on edge computing, please refer to Figure 3 As shown, the device comprises:
[0061] RFID module 100, used to obtain tag data from an RFID reader;
[0062] The edge computing module 200 is used to send the tag data to the edge computing device, read the medical device information corresponding to the tag in the tag data, and the edge computing device identifies the use mode and potential problems of the medical device according to the medical device information corresponding to the tag in the data, and generates predictive maintenance suggestions and alarm information;
[0063] The analysis module 300 is used to receive the predictive maintenance suggestions and alarm information sent by the edge computing device, upload it to the central management system, and the central management system stores and manages the data, generates analysis results and reports based on the received data; obtains the analysis results and reports, sends the analysis results and reports to the user-end device through the user interface, and then receives feedback information from the user-end device, and uploads the feedback information to the central management system.
[0064] The functional implementation of each module in the above-mentioned edge computing-based medical device full-cycle traceability device corresponds to the steps in the above-mentioned edge computing-based medical device full-cycle traceability method embodiment, and its functions and implementation process will not be repeated here one by one.
[0065] The present application also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the full-cycle traceability method of medical devices based on edge computing as described in any of the above embodiments are implemented.
[0066] The present application also provides a computer-readable storage medium, on which a program is stored, wherein the computer-readable storage medium refers to a carrier for storing data, which may include but is not limited to a floppy disk, an optical disk, a hard disk, a flash memory, a USB flash drive, and / or a memory stick, etc., and the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The working process, working details, and technical effects of the computer-readable storage medium provided in this embodiment can be found in the above embodiment of a full-cycle traceability method for medical devices based on edge computing, which will not be repeated here.
[0067] The application also provides a computer program product, including computer instructions, which, when executed by a processor, implement the steps of the edge computing-based full-cycle traceability method for medical devices as described in any of the above embodiments.
[0068] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
[0069] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification. The above-mentioned embodiments only express several implementation methods of the present application, and their descriptions are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present application, several deformations and improvements can be made, which all belong to the protection scope of the present application. Therefore, the protection scope of the patent of this application shall be based on the attached claims.
Claims
1. A full-cycle traceability method for medical devices based on edge computing, characterized in that: include: Get tag data from RFID reader; The tag data is sent to an edge computing device, and the medical device information corresponding to the tag in the tag data is read. The edge computing device identifies the usage pattern and potential problems of the medical device according to the medical device information corresponding to the tag in the data, and generates predictive maintenance suggestions and alarm information; Receiving the predictive maintenance suggestions and alarm information sent by the edge computing device, uploading to the central management system, the central management system stores and manages the data, and generates analysis results and reports based on the received data; The analysis results and reports are obtained, and the analysis results and reports are sent to the user terminal device through the user interface, and then feedback information from the user terminal device is received, and the feedback information is uploaded to the central management system.
2. The full-cycle tracing method for medical devices based on edge computing according to claim 1 is characterized in that: When processing the tag data, the edge computing device further includes: The label data is cleaned, integrated and verified.
3. The full-cycle tracing method for medical devices based on edge computing according to claim 2 is characterized in that: The user interface includes a user interface of a mobile application and a user interface of a desktop application.
4. The full-cycle tracing method for medical devices based on edge computing according to claim 3 is characterized in that: The edge computing device identifies the usage pattern and potential problems of the medical device according to the medical device information corresponding to the tag in the data, including: The edge computing device is integrated with an AI analysis module, which uses a machine learning algorithm to intelligently analyze the usage data of medical devices to identify the usage patterns and potential problems of medical devices.
5. A full-cycle traceability system for medical devices based on edge computing, characterized in that: Includes RFID module, edge computing module and central management module; The RFID module is used to read the information of the RFID tag attached to the medical device and obtain the tag data when the medical device is close to the RFID reader; The edge computing module is used to receive and process tag data from the RFID reader; The edge computing module includes an AI analysis unit, which uses machine learning algorithms to intelligently analyze the usage data of medical devices, identify usage patterns and potential problems, and generate predictive maintenance recommendations and alarm information; The central management module is used to receive the predictive maintenance suggestions and alarm information sent by the edge computing device, store and manage the data, generate analysis results and reports based on the received data, send the analysis results and reports to the user-end device through the user interface, and then receive feedback information from the user-end device.
6. The edge computing-based full-cycle traceability system for medical devices according to claim 5 is characterized in that: The edge computing module is also used to clean, integrate and verify the received tag data, and the user interface of the central management module includes a user interface of a mobile application and a user interface of a desktop application.
7. A full-cycle tracing device for medical devices based on edge computing, characterized in that: include: RFID module, used to obtain tag data from RFID reader; An edge computing module, configured to send the tag data to an edge computing device, read the medical device information corresponding to the tag in the tag data, and the edge computing device identifies the use mode and potential problems of the medical device according to the medical device information corresponding to the tag in the data, and generates predictive maintenance suggestions and alarm information; The analysis module is used to receive the predictive maintenance suggestions and alarm information sent by the edge computing device, upload it to the central management system, and the central management system stores and manages the data, generates analysis results and reports based on the received data; obtains the analysis results and reports, sends the analysis results and reports to the user-end device through the user interface, and then receives feedback information from the user-end device, and uploads the feedback information to the central management system.
8. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the full-cycle traceability method of medical devices based on edge computing as described in any one of claims 1 to 4 are implemented.
9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program, wherein when the program is executed by the processor, the full-cycle traceability method of medical devices based on edge computing as described in any one of claims 1 to 4 is implemented.
10. A computer program product comprising computer instructions, characterized in that: When executed by a processor, the computer instructions implement the steps of the edge computing-based full-cycle traceability method for medical devices described in claims 1 to 4.