Whole-process internet of things tracing management platform for medical equipment

Abstract

The invention provides a full-process Internet of Things tracing management platform for medical equipment, and relates to the technical field of Internet of Things. A diagnosis and treatment stage identification module; the user information acquisition module is used for acquiring a user number, a device ID, a diagnosis and treatment ID, a use node, a use duration and a position coordinate by using the Internet of Things technology, and generating a device use record; the use record storage module is used for encrypting and storing the equipment use record to a distributed account book of a cloud server through a block chain technology; and the data sharing and tracing module is used for executing data sharing and data tracing based on the distributed account book. According to the medical equipment management method and device, the problems that the existing medical equipment lacks effective tracking in the use process, the equipment use record is difficult to store and share in real time and the diagnosis and treatment information is difficult to trace can be solved, the efficiency and transparency of medical equipment management can be improved, and the security and non-tampering property of data are guaranteed.

Description

Technical Field

[0001] The present application relates to the field of Internet of Things technology, and in particular to a full-process Internet of Things traceability management platform for medical equipment. Background Art

[0002] In the existing management and use of medical equipment, there are many technical difficulties in the tracking and use record management of medical equipment. First, the use of medical equipment is usually scattered in different diagnosis and treatment links, such as outpatient, hospitalization, examination and surgery, and these links lack effective technical means to comprehensively track the use of medical equipment, resulting in low transparency in equipment management and the inability to grasp the use of equipment in real time. Secondly, the use records of medical equipment are difficult to store and share in real time. Under the traditional management model, the use information of medical equipment often relies on paper records or a single digital system. The information between departments is isolated, and cross-departmental and cross-institutional data sharing cannot be achieved. In this case, when patients seek medical treatment across institutions or the diagnosis and treatment equipment is used multiple times, the continuous management of the equipment cannot be achieved, which increases medical risks.

[0003] In addition, the existing technology lacks effective means of tracing medical information. Since the use records of medical equipment and the diagnosis and treatment process of patients are often stored in a decentralized manner and lack a unified tracking mechanism, it is difficult for medical institutions to quickly and accurately trace the equipment or diagnosis and treatment process that patients have come into contact with when needed. This not only affects the management efficiency of equipment, but also poses a potential threat to medical safety. In particular, in the case of equipment failure, insufficient cleaning and disinfection of equipment, etc., it is impossible to locate the problem equipment in time and trace the usage history, increasing the risk of hospital infection or misuse.

[0004] In summary, the existing medical equipment management has technical problems such as difficulty in tracking equipment usage records, inconvenient data sharing, and difficulty in tracing medical information. There is an urgent need for a solution that integrates the Internet of Things and blockchain technology to achieve full-process tracking management of medical equipment and effective tracing of medical information. Summary of the invention

[0005] The purpose of this application is to provide a full-process IoT traceability management platform for medical equipment to solve the technical problems of the lack of effective tracking of existing medical equipment during use, the difficulty in real-time storage and sharing of equipment usage records, and the difficulty in tracing diagnosis and treatment information.

[0006] In view of the above problems, the present application provides a full-process Internet of Things traceability management platform for medical equipment, including: a medical equipment marking module, which is used to mark multiple medical devices and build an equipment ID library; a diagnosis and treatment stage identification module, which is used to identify multiple diagnosis and treatment stages of multiple diagnosis and treatment processes and build a diagnosis and treatment ID library; a user information collection module, which is used to collect user numbers, equipment IDs, diagnosis and treatment IDs, usage nodes, usage durations and location coordinates based on the equipment ID library and the diagnosis and treatment ID library when a user uses a medical device, and generate equipment usage records by using Internet of Things technology; a usage record storage module, which is used to encrypt and store the equipment usage records in a distributed ledger of a cloud server through blockchain technology; a data sharing and tracing module, which is used to perform data sharing and data tracing of user diagnosis and treatment information based on the distributed ledger.

[0007] In a possible implementation, the full-process Internet of Things traceability management platform for medical equipment also includes: using RFID radio frequency technology to uniquely identify multiple medical devices and generate multiple RFID radio frequency tags; reading multiple device attributes of the multiple medical devices, and building the device ID library based on the multiple RFID radio frequency tags and multiple device attributes.

[0008] In a possible implementation, the full-process IoT traceability management platform for medical equipment also includes: when a user uses a medical device, reading the user number, and using the IoT technology and the device ID library to identify the device information of the medical device and obtain the device ID; reading the current diagnosis and treatment stage, and determining the diagnosis and treatment ID based on the matching of the diagnosis and treatment ID library; using the IoT technology to monitor the medical device, and obtaining the usage nodes, usage duration and location coordinates of the medical device; and constructing the device usage record based on the user number, device ID, diagnosis and treatment ID, usage nodes, usage duration and location coordinates.

[0009] In a possible implementation, the full-process Internet of Things traceability management platform for medical equipment also includes: using a symmetric encryption algorithm to encrypt the device usage record to obtain an encrypted usage record; using blockchain technology, storing the encrypted usage record in a distributed ledger of a cloud server, wherein each encrypted usage record corresponds to a block.

[0010] In a possible implementation, the full-process Internet of Things traceability management platform for medical equipment also includes: extracting data from the distributed ledger based on the user number to determine a user medical data set; determining multiple medical links, integrating the user medical data set according to the multiple medical links, and synchronizing the integrated information to the user's electronic medical record.

[0011] In a possible implementation, the full-process Internet of Things traceability management platform for medical equipment also includes: collecting attribute characteristics of managers from different departments, configuring access rights based on the attribute characteristics, wherein the access rights include a decryption key; using the decryption key to decrypt data in the distributed ledger to complete data sharing of user medical information.

[0012] In a possible implementation, the full-process Internet of Things traceability management platform for medical equipment also includes: reading the traceability number of the traceability user; performing information query on the distributed ledger according to the traceability number to obtain the historical diagnosis and treatment information of the traceability user, and performing data traceability based on the historical diagnosis and treatment information.

[0013] In a possible implementation, the full-process IoT traceability management platform for medical equipment also includes: reading the device information to be traced and / or the diagnosis and treatment information to be traced, wherein the device information to be traced includes the traceable device ID and the device tracing time period, and the diagnosis and treatment information to be traced includes the traceable diagnosis and treatment ID and the diagnosis and treatment tracing time period; extracting data from the historical diagnosis and treatment information according to the device information to be traced to complete device data tracing; extracting data from the historical diagnosis and treatment information according to the diagnosis and treatment information to be traced to complete diagnosis and treatment data tracing.

[0014] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0015] By marking multiple medical devices, an equipment ID library is constructed; multiple treatment stages of multiple treatment processes are identified to construct a treatment ID library; when a user uses a medical device, based on the device ID library and the treatment ID library, the Internet of Things technology is used to collect the user number, equipment ID, treatment ID, usage node, usage time and location coordinates to generate a device usage record; then, through blockchain technology, the device usage record is encrypted and stored in the distributed ledger of the cloud server; finally, based on the distributed ledger, data sharing and data traceability of user treatment information are performed; data security sharing and full-process traceability of user treatment information between different medical institutions can be achieved, the efficiency and transparency of medical equipment management can be improved, the security and non-tamperability of data can be guaranteed, and thus the traceability and reliability of the treatment process can be improved.

[0016] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0018] Figure 1 A schematic diagram of the structure of a full-process Internet of Things traceability management platform for medical equipment is provided for this application;

[0019] Figure 2 This application provides a flow chart of generating equipment usage records in a full-process Internet of Things traceability management platform for medical equipment.

[0020] Description of reference numerals:

[0021] Medical equipment marking module 11, diagnosis and treatment stage identification module 12, user information collection module 13, usage record storage module 14, data sharing and tracing module 15. DETAILED DESCRIPTION

[0022] This application provides a full-process IoT traceability management platform for medical equipment, which solves the technical problems of the lack of effective tracking of existing medical equipment during use, the difficulty in real-time storage and sharing of equipment usage records, and the difficulty in tracing diagnosis and treatment information. It can realize the secure sharing of data between different medical institutions and the full-process traceability of user diagnosis and treatment information, improve the efficiency and transparency of medical equipment management, ensure the security and non-tamperability of data, and thus improve the traceability and reliability of the diagnosis and treatment process.

[0023] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0024] For examples, please see the attached Figure 1 , this application provides a full-process IoT traceability management platform for medical devices, including:

[0025] The medical device marking module 11 is used to mark multiple medical devices and build a device ID library.

[0026] Specifically, multiple medical devices are uniquely identified through IoT technology (such as RFID tags, etc.), where the tag of each device contains its unique device ID, which serves as the digital identity of the device for subsequent management and tracking. The device identification information collected by the IoT system stores the device ID and related information in the device ID library, which is a database containing the unique identification information of all medical devices, ensuring that each device has an independent identity for management and tracking.

[0027] The diagnosis and treatment stage identification module 12 is used to identify multiple diagnosis and treatment stages of multiple diagnosis and treatment processes and build a diagnosis and treatment ID library.

[0028] Specifically, first, identify and classify each diagnosis and treatment process, such as outpatient, hospitalization, examination, surgery and other different diagnosis and treatment processes; then further divide different stages in each diagnosis and treatment process, for example, the outpatient process includes patient registration, doctor consultation, examination, medication, etc., and the surgical process includes multiple stages such as preoperative examination, anesthesia, surgery, and postoperative monitoring. Then assign a unique identifier (diagnosis and treatment stage ID) to each diagnosis and treatment stage to ensure that each specific stage in the diagnosis and treatment process can be independently identified and tracked. For example, the anesthesia stage of a patient in a certain operation can be assigned a specific stage ID, which corresponds to the overall ID of the surgical diagnosis and treatment process. Finally, each diagnosis and treatment process and its corresponding stage ID are stored in a diagnosis and treatment ID library, where the diagnosis and treatment ID library is a database containing multiple diagnosis and treatment processes and their detailed stage identifiers. By querying the diagnosis and treatment ID library, staff can easily understand the completion status of the user in each stage of the diagnosis and treatment process, as well as detailed information for each stage.

[0029] The user information collection module 13 is used to collect the user number, device ID, diagnosis and treatment ID, usage node, usage duration and location coordinates based on the device ID library and diagnosis and treatment ID library when the user uses the medical device, and generate a device usage record by using the Internet of Things technology.

[0030] Specifically, when a user uses a medical device, the medical device used is first identified through Internet of Things technology (such as RFID), the device's unique identifier device ID is extracted, and the detailed information of the device is confirmed from the device ID library; on the other hand, the diagnosis and treatment ID of the current diagnosis and treatment process is extracted from the diagnosis and treatment ID library to identify the usage of the device in the current diagnosis and treatment process.

[0031] When the medical device is used, the user's identity is automatically identified, and the user number is collected by using the Internet of Things technology. The user number can be the patient's ID; at the same time, the use node and usage time of the medical device are recorded. The use node refers to the time point when the device is enabled to clarify when the device is used during the diagnosis and treatment process; the usage time refers to the time interval from the start of use to the end of use of the device. The status of the device is monitored in real time through the Internet of Things technology to ensure accurate recording of the working time of the device. On the other hand, the location coordinates of the medical device are recorded in real time using the Internet of Things positioning technology. Finally, based on the collected user number, device ID, diagnosis and treatment ID, use node, usage time, and location coordinates, a complete device usage record is automatically generated, where the device usage record includes detailed information such as the usage time of the device in a specific diagnosis and treatment process, the identity of the user, the device status, and the specific location of the device, ensuring that the entire device usage process is transparent and traceable.

[0032] The usage record storage module 14 is used to encrypt and store the device usage record in a distributed ledger of a cloud server through blockchain technology.

[0033] Specifically, after the device usage record is generated, the device usage record is first encrypted. The encrypted data includes sensitive information such as user number, device ID, diagnosis and treatment ID, usage node, usage duration and location coordinates to obtain an encrypted usage record. Then, through blockchain technology, the encrypted usage record is packaged into blocks and verified according to a certain consensus mechanism (such as proof of work, proof of equity, etc.). The verified blocks will be added to the blockchain, that is, the distributed ledger stored in the cloud server and synchronized to all participating nodes. Each block contains not only the encrypted data of the device usage record, but also the hash value and timestamp of the previous block to ensure the continuity of the blockchain and the security of the data. Each device usage record will be added to the blockchain as a block, and blocks are linked to each other through hash values ​​to ensure that the data on the chain cannot be tampered with.

[0034] The data sharing and tracing module 15 is used to perform data sharing and data tracing of user medical information based on the distributed ledger.

[0035] Specifically, the blockchain system manages data access through a permission control mechanism. Each medical institution or authorized user must have corresponding access rights to access specific medical information. Different medical institutions can securely share users' medical information through the blockchain system without relying on a centralized database system. Distributed ledger technology ensures consistency, transparency and security in the data sharing process. By querying the distributed ledger, medical institutions can obtain users' complete medical records in a timely manner, such as equipment usage, test results, diagnostic reports, etc., to help doctors make more accurate diagnosis and treatment assistance.

[0036] When medical institutions need to track the equipment or treatment processes that users have come into contact with, they can conduct quick queries through the blockchain system. Through the unique device ID, treatment ID or user number, they can accurately find all records related to the ID, including the specific usage time, location, equipment information and treatment stage.

[0037] Through blockchain distributed ledger technology, medical institutions can safely and transparently share and trace users' medical information, achieving high efficiency, accuracy and security in data sharing and tracing.

[0038] By providing a full-process Internet of Things traceability management platform for medical equipment, including: a medical equipment marking module, which is used to mark multiple medical equipment and build an equipment ID library; a diagnosis and treatment stage identification module, which is used to identify multiple diagnosis and treatment stages of multiple diagnosis and treatment processes and build a diagnosis and treatment ID library; a user information collection module, which is used to collect user numbers, equipment IDs, diagnosis and treatment IDs, usage nodes, usage duration and location coordinates based on the equipment ID library and the diagnosis and treatment ID library when the user uses the medical equipment, and generate equipment usage records by using Internet of Things technology; a usage record storage module, which is used to encrypt and store the equipment usage records in the distributed ledger of the cloud server through blockchain technology; a data sharing and tracing module, which is used to perform data sharing and data tracing of user diagnosis and treatment information based on the distributed ledger. It can solve the technical problems of the lack of effective tracking of existing medical equipment during use, the difficulty of real-time storage and sharing of equipment usage records, and the difficulty of tracing diagnosis and treatment information. It can realize data security sharing between different medical institutions and full-process tracing of user diagnosis and treatment information, improve the efficiency and transparency of medical equipment management, ensure the security and non-tamperability of data, and thus improve the traceability and reliability of the diagnosis and treatment process.

[0039] Further, to build a device ID library, this application includes:

[0040] Utilize RFID radio frequency technology to uniquely identify multiple medical devices and generate multiple RFID radio frequency tags; read multiple device attributes of the multiple medical devices, and build the device ID library based on the multiple RFID radio frequency tags and multiple device attributes.

[0041] Specifically, first, RFID radio frequency technology is used to uniquely identify multiple medical devices and generate multiple RFID radio frequency tags, that is, an RFID radio frequency tag is generated for each medical device. Each tag contains a unique device identifier (device ID) so that each device can be independently identified. RFID radio frequency tags can communicate with the reading and writing equipment through radio waves to achieve remote identification of the device. Each RFID radio frequency tag is bound to a unique device ID, which is used to identify a specific device to ensure uniqueness among all devices and avoid duplication and confusion.

[0042] Then, use the RFID reading and writing device to read the attribute information of each medical device, where the device attribute information includes but is not limited to the device name, device model, device location, etc., and bind the RFID radio frequency tag of each medical device to its device attribute information. Through the RFID tag, the system can quickly read and identify the attribute information of the device. Finally, based on the multiple RFID radio frequency tags and multiple device attributes, the device ID library is constructed. The device ID library is a database containing the unique identifiers of all medical devices and their attribute information, which can classify, manage and track all medical devices. By using RFID radio frequency technology and device attributes to construct a device ID library, all medical devices can be accurately identified and effectively managed, thereby achieving efficient tracking, management and scheduling of equipment.

[0043] Further, as attached Figure 2 As shown, generate equipment usage records, including:

[0044] When a user uses a medical device, the user number is read, and the device information of the medical device is identified using the Internet of Things technology and the device ID library to obtain the device ID; the current diagnosis and treatment stage is read, and the diagnosis and treatment ID is determined based on the matching of the diagnosis and treatment ID library; the medical device is monitored using the Internet of Things technology to obtain the usage nodes, usage duration and location coordinates of the medical device; the device usage record is constructed based on the user number, device ID, diagnosis and treatment ID, usage nodes, usage duration and location coordinates.

[0045] Specifically, when a user starts to use a medical device, the user's unique identifier, i.e., the user number, is collected and read through the Internet of Things technology. This can be achieved in a variety of ways, such as RFID cards, QR code scanning, smart cards, or fingerprint recognition, among which the user number is used to identify the user of the device, ensuring that each device usage record can be accurately associated with a specific user. Then, the RFID tag on the medical device is read through an Internet of Things device (such as an RFID reader), the device ID of the medical device is obtained, and the detailed information of the medical device (such as device type, device model, current status, etc.) is identified and confirmed through the device ID library to ensure accurate identification of the device. On the other hand, at different stages of each diagnosis and treatment process, the current diagnosis and treatment link is recorded, the corresponding diagnosis and treatment stage is read from the diagnosis and treatment ID library, and a unique diagnosis and treatment ID is assigned to the stage. The diagnosis and treatment ID is used to identify the specific stage of the user in the current diagnosis and treatment process, ensuring that the device usage record accurately matches the diagnosis and treatment activities.

[0046] At the same time, the Internet of Things technology is used to monitor medical equipment, obtain the use nodes, use duration and location coordinates of medical equipment, such as monitoring medical equipment through the Internet of Things technology, recording the specific time point when the equipment is enabled, that is, the use node, to determine the moment when the equipment is used during the diagnosis and treatment process; continuously monitor the use of the equipment and record the working time of the equipment, that is, the use duration, from the beginning to the end of the use of the equipment; record the geographical location of the equipment through the integrated positioning function (such as GPS, Bluetooth beacon or Wi-Fi), obtain the location coordinates of the equipment during the diagnosis and treatment process, and ensure the accurate tracking of the equipment location. Finally, the equipment use record is constructed according to the user number, equipment ID, diagnosis and treatment ID, use node, use duration and location coordinates. The equipment use record records the entire process of the user using the equipment in detail, ensuring that the time, location, user information and diagnosis and treatment stage of each device use are fully recorded. By generating equipment use records, the use of medical equipment by users during the diagnosis and treatment process can be accurately recorded, thereby realizing efficient management of equipment and full traceability of the diagnosis and treatment process.

[0047] Furthermore, the device usage record is encrypted and stored in a distributed ledger of a cloud server through blockchain technology, including:

[0048] The device usage record is encrypted using a symmetric encryption algorithm to obtain an encrypted usage record; the encrypted usage record is stored in a distributed ledger of a cloud server through blockchain technology, wherein each encrypted usage record corresponds to a block.

[0049] Specifically, first, a symmetric encryption algorithm (such as the AES algorithm) is used to encrypt the generated device usage records, wherein the symmetric encryption uses the same key for encryption and decryption operations, which is fast and suitable for the encryption of large amounts of data to obtain encrypted usage records. Then, through blockchain technology, the encrypted usage records are stored in the distributed ledger of the cloud server, wherein each encrypted device usage record will be encapsulated as a block, and the block contains the encrypted device usage data and the hash value and timestamp of the previous block and other information. After the block is generated, the block is verified through a consensus mechanism (such as proof of work PoW or proof of equity PoS, etc.) to ensure the integrity and consistency of the data. The verified blocks will be stored in the distributed ledger of the blockchain, wherein the distributed ledger is maintained in the form of multiple nodes on the cloud server, and each node stores the same copy of the ledger to ensure the redundancy and reliability of the ledger data.

[0050] Furthermore, the present application includes:

[0051] The distributed ledger is used to extract data based on the user number to determine a user medical data set; multiple medical treatment links are determined, the user medical treatment data set is integrated according to the multiple medical treatment links, and the integrated information is synchronized to the user's electronic medical record.

[0052] Specifically, the user number is first used as the search condition to access the distributed ledger of the blockchain. Each user has a unique identity identifier (user number) on the blockchain. The system queries all device usage records and medical treatment data related to the user based on the number. Then, through the blockchain query function, the medical treatment data set related to the user number is extracted from the distributed ledger. These data come from different medical devices or multiple medical treatment stages. The data includes device ID, medical treatment ID, usage node, usage duration, location coordinates, etc., to obtain the user's medical treatment data set.

[0053] Then, based on the diagnosis and treatment process, identify multiple diagnosis and treatment links (such as outpatient, hospitalization, examination, surgery, etc.) in which the user participates. These links represent the specific steps and status of the user in the diagnosis and treatment process. Each diagnosis and treatment link may correspond to different equipment usage records or diagnosis and treatment data. Further, the user diagnosis and treatment data set is integrated according to the multiple diagnosis and treatment links. During the integration process, the usage information of different equipment in the same diagnosis and treatment process, the doctor's operation records, the examination results and other data are associated to form a complete diagnosis and treatment information set. For example, in the surgery link, the system will integrate the preoperative preparation, the use information of the surgical equipment, the postoperative monitoring and other data into a complete surgical record. Finally, after the data integration is completed, the integrated information is synchronized to the user's electronic medical record.

[0054] Furthermore, based on the distributed ledger, data sharing of user medical information is performed. The present application includes:

[0055] Collect attribute characteristics of managers from different departments, configure access rights based on the attribute characteristics, where the access rights include a decryption key; use the decryption key to decrypt data in the distributed ledger to complete data sharing of user diagnosis and treatment information.

[0056] Specifically, the attribute characteristics of managers from different departments are first collected, including but not limited to job level, department, role responsibilities, professional field, etc.; then, corresponding access rights are configured for each manager based on their attribute characteristics. The access rights determine the manager's data access scope and operation permissions in the blockchain distributed ledger, ensuring that people with different roles and responsibilities can only access data that meets their permissions. For example, cardiologists can only access cardiac diagnosis and treatment information related to their patients, and the attending physicians in the surgical department can only access records related to surgery; each access right also includes a decryption key, which is used to decrypt encrypted data in the distributed ledger. Each user has a different decryption key according to his or her permissions to ensure data security.

[0057] When managers try to access data in the distributed ledger, their permissions are first verified according to the configured attribute characteristics. Only users with corresponding permissions can enter the system and request data access. Once the access request passes the permission verification, the system will call the decryption key associated with the user's permission, which is used to decrypt the encrypted diagnosis and treatment data extracted from the blockchain distributed ledger. The decrypted diagnosis and treatment data can be safely shared among authorized medical personnel. Since all data is encrypted and permission-controlled, it is ensured that only personnel with corresponding permissions can access and share this information. Managers of different departments can decrypt and view the diagnosis and treatment data within their responsibilities according to their access rights. Data sharing across departments is carried out under permission control to ensure the security and privacy protection of sensitive information. For example, doctors can view patient information related to their professional field, while hospital management can access the hospital's operational data, but cannot view the detailed diagnosis and treatment information of specific patients. By configuring access rights using decryption keys and attribute characteristics, it is ensured that the encrypted data in the distributed ledger can be safely shared within the medical institution and across departments, while ensuring the privacy and security of the data.

[0058] Furthermore, based on the distributed ledger, data tracing of user medical information is performed. The present application includes:

[0059] Read the traceability number of the traceable user; perform information query on the distributed ledger according to the traceability number, obtain the historical diagnosis and treatment information of the traceable user, and perform data tracing based on the historical diagnosis and treatment information.

[0060] Specifically, during the user's diagnosis and treatment process, a traceability number is assigned to each user. This number serves as a unique identifier for the user's historical diagnosis and treatment information and is used for subsequent query and traceability operations. When data tracing is required, the traceability number is extracted from the user's record. This number can be obtained by entering the system interface or automatically retrieving the user's identity information. Then, the user's traceability number is used as a query condition to retrieve information in the distributed ledger of the blockchain. The distributed ledger records all diagnosis and treatment data related to the traceability number, including each equipment use record, examination results, surgical records, etc. Based on the query results, the system extracts the user's historical diagnosis and treatment information. Finally, data tracing is performed based on the historical diagnosis and treatment information.

[0061] Further, data tracing is performed based on the historical diagnosis and treatment information. The present application includes:

[0062] Read the device information to be traced and / or the diagnosis and treatment information to be traced, wherein the device information to be traced includes the tracing device ID and the device tracing time period, and the diagnosis and treatment information to be traced includes the tracing diagnosis and treatment ID and the diagnosis and treatment tracing time period; extract data from the historical diagnosis and treatment information according to the device information to be traced to complete device data tracing; extract data from the historical diagnosis and treatment information according to the diagnosis and treatment information to be traced to complete diagnosis and treatment data tracing.

[0063] Specifically, first, the information to be traced is read, and the information to be traced includes the equipment information to be traced and / or the diagnosis and treatment information to be traced, wherein the equipment information to be traced includes the tracing equipment ID and the equipment tracing time period, and the diagnosis and treatment information to be traced includes the tracing diagnosis and treatment ID and the diagnosis and treatment tracing time period. The equipment tracing time period refers to the usage record of the equipment within a specified time range, for example, tracing the equipment usage in the past month or year; the diagnosis and treatment tracing time period refers to tracing the diagnosis and treatment activities within a specific time period, for example, tracing the activities of a diagnosis and treatment process in the past three months.

[0064] Then, data extraction of the historical diagnosis and treatment information is performed based on the device information to be traced, that is, all device usage records related to the device ID are queried from the blockchain distributed ledger, and the query results are further filtered according to the device tracing time period, and only the usage records of the device within the specified time period are extracted. For example, if the tracing time period is the past three months, only the usage data of the device within this time period will be extracted; further, based on the integrated extracted device usage records, a complete device tracing report is generated, which can include information such as the frequency of use of the device, the operator of the device, the geographical location change of the device, whether the device has failed, etc., to help medical institutions comprehensively track the use history of the device. On the other hand, data extraction of the historical diagnosis and treatment information is performed based on the traceable diagnosis and treatment ID and the diagnosis and treatment tracing time period to generate a diagnosis and treatment tracing report.

[0065] In summary, the full-process IoT traceability management platform for medical equipment provided by this application has the following technical effects:

[0066] By marking multiple medical devices, an equipment ID library is constructed; multiple treatment stages of multiple treatment processes are identified to construct a treatment ID library; when a user uses a medical device, based on the device ID library and the treatment ID library, the Internet of Things technology is used to collect the user number, equipment ID, treatment ID, usage node, usage time and location coordinates to generate a device usage record; then, through blockchain technology, the device usage record is encrypted and stored in the distributed ledger of the cloud server; finally, based on the distributed ledger, data sharing and data traceability of user treatment information are performed; data security sharing and full-process traceability of user treatment information between different medical institutions can be achieved, the efficiency and transparency of medical equipment management can be improved, the security and non-tamperability of data can be guaranteed, and thus the traceability and reliability of the treatment process can be improved.

[0067] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0068] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A full-process Internet of Things traceability management platform for medical equipment, characterized in that: include: Medical device marking module, used to mark multiple medical devices and build a device ID library; The diagnosis and treatment stage identification module is used to identify multiple diagnosis and treatment stages of multiple diagnosis and treatment processes and build a diagnosis and treatment ID library; A user information collection module is used to collect user number, device ID, diagnosis and treatment ID, usage node, usage duration and location coordinates based on the device ID library and diagnosis and treatment ID library when a user uses a medical device, and generate a device usage record by using the Internet of Things technology; A usage record storage module, used to encrypt and store the device usage record in a distributed ledger of a cloud server through blockchain technology; The data sharing and tracing module is used to perform data sharing and data tracing of user medical information based on the distributed ledger.

2. A full-process Internet of Things traceability management platform for medical equipment according to claim 1, characterized in that: Build a device ID library, including: Use RFID radio frequency technology to uniquely identify multiple medical devices and generate multiple RFID radio frequency tags; The multiple device attributes of the multiple medical devices are read, and the device ID library is constructed based on the multiple RFID radio frequency tags and the multiple device attributes.

3. A full-process Internet of Things traceability management platform for medical equipment according to claim 1, characterized in that: Generate device usage records, including: When a user uses a medical device, the user number is read, and the device information of the medical device is identified using the IoT technology and the device ID library to obtain the device ID; Read the current diagnosis and treatment stage, and determine the diagnosis and treatment ID based on the diagnosis and treatment ID database; Use IoT technology to monitor medical equipment and obtain the usage nodes, usage duration and location coordinates of medical equipment; The device usage record is constructed according to the user number, device ID, diagnosis and treatment ID, usage node, usage duration and location coordinates.

4. A full-process Internet of Things traceability management platform for medical equipment according to claim 1, characterized in that: Through blockchain technology, the device usage records are encrypted and stored in a distributed ledger of a cloud server, including: Encrypting the device usage record using a symmetric encryption algorithm to obtain an encrypted usage record; Through blockchain technology, the encrypted usage record is stored in a distributed ledger of a cloud server, wherein each encrypted usage record corresponds to a block.

5. The full-process Internet of Things traceability management platform for medical equipment according to claim 1, characterized in that: Also includes: Extracting data from the distributed ledger based on the user number to determine a user diagnosis and treatment data set; Determine a plurality of diagnosis and treatment links, integrate the user's diagnosis and treatment data set according to the plurality of diagnosis and treatment links, and synchronize the integrated information to the user's electronic medical record.

6. A full-process Internet of Things traceability management platform for medical equipment according to claim 1, characterized in that: Based on the distributed ledger, data sharing of user diagnosis and treatment information is performed, including: Collecting attribute characteristics of managers from different departments, and configuring access rights according to the attribute characteristics, wherein the access rights include decryption keys; The decryption key is used to decrypt the data in the distributed ledger to complete the data sharing of the user's medical information.

7. A full-process Internet of Things traceability management platform for medical equipment according to claim 1, characterized in that: Based on the distributed ledger, data tracing of user medical information is performed, including: Read the traceability number of the traceability user; The distributed ledger is queried according to the traceability number to obtain historical diagnosis and treatment information of the traceable user, and data tracing is performed based on the historical diagnosis and treatment information.

8. A full-process Internet of Things traceability management platform for medical equipment according to claim 7, characterized in that: Performing data tracing based on the historical diagnosis and treatment information includes: Read the device information to be traced and / or the diagnosis and treatment information to be traced, wherein the device information to be traced includes the traceable device ID and the device traceability time period, and the diagnosis and treatment information to be traced includes the traceable diagnosis and treatment ID and the diagnosis and treatment traceability time period; Extract the historical diagnosis and treatment information according to the device information to be traced, and complete the device data tracing; Data extraction is performed on the historical medical information based on the medical information to be traced to complete the medical data tracing.

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