Clinical significance query system based on two-dimensional code and implementation method

By using a QR code-based clinical significance query system, the system dynamically links test items with disease codes, generates a unique clinical significance QR code that is embedded in the test report, and solves the problem of low efficiency in traditional query methods, thereby achieving real-time information updates and improved report interactivity.

CN120977474APending Publication Date: 2025-11-18BEIJING OUMENG WEIYI MEDICAL LAB CO LTD
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Patent Information

Application Number
CN202510832809.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-20
Publication Date
2025-11-18

AI Technical Summary

Technical Problem

Traditional methods of querying the clinical significance of medical test reports are inefficient, the information is outdated and difficult to understand intuitively, and the lack of a unified platform leads to untimely information updates.

Method used

Design a QR code-based clinical significance query system. The system configures the association between disease names and clinical significance through the management backend module, generates a unique clinical significance QR code and embeds it into the test report. Users can scan the QR code to obtain real-time updated clinical significance details.

Benefits of technology

It improves query efficiency, ensures real-time information updates, enhances report readability and interactivity, and reduces manual maintenance costs.

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Abstract

The invention relates to a clinical significance query system based on a two-dimensional code and an implementation method. The clinical significance query system based on the two-dimensional code comprises a management background module which is responsible for configuration and management of the whole system; the order system module is used for processing a detection order of a user and recording order information and user information; the LIMS module is responsible for managing detection data of a laboratory and associating a detection result with a detection order; the query module is used for providing query service for the user; wherein the disease code and the detection order are dynamically associated, the clinical significance two-dimensional code is generated and embedded into the detection report template, the two-dimensional code is scanned to jump to a display page, and clinical significance details are displayed. According to the method, the detection item and the disease code are dynamically associated, and the unique clinical significance two-dimensional code is generated and embedded into the detection report, so that the user can obtain the clinical significance details updated in real time by scanning the two-dimensional code, and the query efficiency and the report interactivity are improved.
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Description

TECHNICAL FIELD

[0001] The present application relates to the field of medical information technology, in particular to a clinical significance query system based on a two-dimensional code and an implementation method. BACKGROUND

[0002] In the current medical environment, there are many drawbacks in the traditional medical detection report clinical significance query method. On the one hand, the clinical significance of the traditional medical detection report is usually presented in the form of paper report or static electronic document. When querying the clinical significance, a large amount of data needs to be manually reviewed, resulting in extremely low query efficiency. For example, when diagnosing a patient, a doctor may need to spend a lot of time searching for the clinical significance of a certain detection item in different medical books and databases, which not only wastes valuable medical time, but also may affect the timeliness of diagnosis. On the other hand, with the continuous development of medical research, the association information between detection items and disease names updates rapidly, but the existing management method lacks a unified platform, so that these information cannot be synchronized to the query system in time, resulting in information lag. In addition, the traditional clinical significance information display is mostly pure text description, and for some complex medical concepts and detection results, users have difficulty in intuitive understanding, which brings great trouble to patients and medical staff. SUMMARY

[0003] In view of the technical problems existing in the prior art, the present application provides a clinical significance query system based on a two-dimensional code, which comprises: a management background module responsible for the configuration and management of the entire system, associating disease names with clinical significance, and setting a unique disease code for the disease name matching; an order system module connected with the management background module, which processes the detection order of the user when receiving the detection order of the user, records the order information and user information, and imports the detection order into the management background module; a LIMS module connected with the management background module, which is responsible for managing the detection data of the laboratory, associating the detection results with the detection order, and uploading the associated detection report to the management background module; a query module connected with the management background module and providing a query interface for users; wherein the management background module dynamically associates the disease code with the detection order to generate a clinical significance two-dimensional code, and embeds the clinical significance two-dimensional code on the detection report, and scanning the two-dimensional code on the detection report can jump to a display page to display the details of the clinical significance.

[0004] The clinical significance query system based on a two-dimensional code as described above, the management background module comprises one or more of disease name management, clinical significance management, association setting of disease name and clinical significance, association setting of disease code and detection order, and generation rule of two-dimensional code.

[0005] As described above, the management backend module of the QR code-based clinical significance query system includes the addition, batch import, and editing of disease names and / or clinical significance.

[0006] As described above, in the QR code-based clinical significance query system, the management backend module uses Excel templates to batch import disease names and update standardized data.

[0007] As described above, in the QR code-based clinical significance query system, the management backend module supports URL association and dynamic updates of multimedia content.

[0008] The clinical significance query system based on QR codes, as described above, further includes a database connected to the management backend module for storing relevant data of the system.

[0009] The clinical significance query system based on QR codes, as described above, further includes an encryption module connected to the management backend module, which uses an encryption algorithm to encrypt the QR codes generated by the management backend module.

[0010] As described above, the clinical significance query system based on QR codes includes a display area on the display page, which displays the obtained clinical significance details in a multimedia format.

[0011] As described above, the clinical significance query system based on QR codes includes one or more of the following multimedia formats: text description, table display, image description, animation demonstration, video explanation, and attachment download.

[0012] On the other hand, a method for querying clinical significance based on QR codes is proposed, including: configuring disease names and clinical significance content, and setting a unique disease code for matching disease names; when a test order is received, matching the disease code with the test order and generating a unique clinical significance QR code; after the test results of the test order are completed, configuring a test report template, embedding the QR code into the test report template, and automatically outputting a test report containing the QR code; scanning the QR code in the test report to access the display page and obtain clinical significance details.

[0013] The method for querying clinical significance based on QR codes, as described above, generates a QR code containing detailed clinical significance based on the correspondence between the specific information of the test item and the disease code.

[0014] The clinical significance query method based on QR codes described above includes: encrypting the QR code using an encryption algorithm.

[0015] The clinical significance query implementation method based on QR codes, as described above, includes: real-time updating of the configured disease name and / or clinical significance.

[0016] The clinical significance query method based on QR codes, as described above, includes: batch importing and standardizing the updating of disease names and / or clinical significance using Excel templates.

[0017] The clinical significance query method based on QR codes, as described above, includes: associating and dynamically updating disease names and / or clinical significance through the URL of multimedia content.

[0018] This application dynamically links test items with disease codes and generates a unique clinically significant QR code embedded in the test report, allowing users to scan the QR code to obtain real-time updated clinical significance details, thereby improving query efficiency and report interactivity. Attached Figure Description

[0019] The preferred embodiments of the present invention will now be described in further detail with reference to the accompanying drawings, wherein:

[0020] Figure 1 This is a schematic diagram of a clinical significance query system according to an embodiment of this application; and

[0021] Figure 2 This is a flowchart illustrating the implementation of a clinical significance lookup according to one embodiment of this application. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] In the following detailed description, reference can be made to the accompanying drawings, which form part of this application and illustrate specific embodiments of the present application. In the drawings, similar reference numerals describe substantially similar components in different figures. Specific embodiments of the present application are described in sufficient detail below to enable those skilled in the art to implement the technical solutions of the present application. It should be understood that other embodiments can also be utilized or structural and logical changes can be made to the embodiments of the present application.

[0024] This application provides a novel clinical significance query system that can dynamically associate test items with disease codes and generate a unique clinical significance QR code embedded in the test report. Users can scan the QR code to obtain real-time updated clinical significance details, thereby improving query efficiency and report interactivity. In some embodiments, barcodes or electronic tags (such as RFID tags) can be used instead of generating a unique clinical significance QR code.

[0025] The technical solution of this application will be further illustrated below through specific embodiments. Those skilled in the art should understand that the following description is merely for the convenience of understanding the technical solution of the application and should not be used to limit the scope of protection of this application.

[0026] Figure 1 This is a schematic diagram of the structure of a clinical significance query system according to an embodiment of this application.

[0027] As shown in the figure, the Clinical Significance Query System (hereinafter referred to as the "Query System" or "System") 100 includes a management backend module 110, an order system module 120, a LIMS (Laboratory Information Management System) module 130, and a query module 140. The management backend module 110 is responsible for the configuration and management of the entire system, including disease name management, clinical significance management, disease name and clinical significance association settings, disease code and test order / item association settings, and QR code generation rules. The order system module 120 processes user test orders and records order information and user information. The LIMS module 130 manages laboratory test data and associates test results with test orders. The query module 140 provides query services to users, allowing them to obtain relevant information by scanning a QR code.

[0028] In some embodiments, the management backend module 110 is the core control center of the entire clinical significance query system, possessing powerful user management, data configuration, and system monitoring functions. In some embodiments, the management backend module 110 can employ an advanced permission management mechanism to precisely allocate operational permissions based on the roles and responsibilities of different users. For example, administrators can perform comprehensive system configuration and management, including adding, deleting, and modifying user information; implementing refined permission management for different user roles (such as medical staff, patients, and laboratory personnel); and backing up and restoring data to ensure data security and confidentiality. In some embodiments, the management backend module 110 also has data monitoring and early warning functions, capable of monitoring the system's operating status and data quality in real time. When data anomalies or system malfunctions, the system can automatically issue alarms to remind administrators to handle the situation promptly. In some embodiments, administrators can set unique disease codes for disease name matching. In some embodiments, administrators can also configure the association between disease codes and testing items in real time, updating data promptly based on the latest medical research and clinical practice. In some embodiments, the management backend module 110 can support functions such as adding, batch importing, and editing disease names and / or clinical significance for corresponding disease codes. Clinical significance can be text, tables, images (jpg / png), or PDF attachments, etc. In some embodiments, the management backend module 110 can also import disease names and / or clinical significance in batches and update standardized data by importing templates (such as Excel spreadsheets). In some embodiments, the management backend module 110 also supports URL association and dynamic updating of disease names and / or clinical significance for multimedia content (such as images and tables).

[0029] In some embodiments, the management backend module 110 can adopt a layered architecture to implement the above functions. For example: the bottom layer uses a database management system (such as MySQL, Oracle, etc.) to store basic data such as disease codes, test items, and user information; the middle layer uses server-side programming languages ​​(such as Java, Python's Django, or Flask framework, etc.) to implement business logic process processing, including data addition, deletion, modification, retrieval, and user permission management; the front end builds the user interface and maintains asynchronous interaction with the server. In some embodiments, HTML, CSS, JavaScript, etc., are used to build the user interface. The user interface can interact with the server through AJAX technology. In some embodiments, the database management system can also use a NoSQL database (such as MongoDB), which is suitable for storing unstructured data and has strong scalability. In some embodiments, the server side can also be implemented using Node.js with the Express framework, which can enable the system to have high concurrency processing capabilities.

[0030] In some embodiments, the clinical significance query system 100 may further include a database 150, which may be connected to the management backend module and used to store relevant basic data of the query system, such as disease names, clinical significance, and user data. In some embodiments, the database 150 may also be part of the management backend module.

[0031] In some embodiments, the order system module 120 can download an order template from the order system and fill in the corresponding information (such as disease code, test item name, etc.). After the order system module obtains the corresponding information of the order template, it imports it into the management backend module. The management backend module can dynamically match the disease code with the test item and generate a unique clinically significant QR code. In some embodiments, after obtaining the corresponding information of the order template, the order system module can also automatically realize the dynamic matching of disease code and test item, generate a unique clinically significant QR code, and upload the generated unique clinically significant QR code to the management backend module 110.

[0032] In some embodiments, the order system module 120 can also be deeply integrated with the registration and payment systems of medical institutions to achieve real-time data sharing and interaction, and to automatically generate and manage the status of patient testing orders. When a patient selects a testing item during registration, the order system can automatically record relevant user information and generate a corresponding testing order, and can also synchronize the order information to the LIMS module 130. In some embodiments, the order system module 120 can also support online payment, so that users (which may be patients or their relatives) can complete the self-service payment process through personal terminals such as mobile phones or computers, improving user convenience. In some embodiments, the order system module 120 can also track the status of testing orders in real time, such as sample collection, transportation, testing in progress, and report results generated, and promptly push the status information to patients and / or medical staff, so that they can understand the testing progress and ensure that the testing process is complete, traceable, and transparent.

[0033] In some embodiments, the order system module 120 can interface with the registration and payment systems of medical institutions via API interfaces to obtain patients' registration information and payment status in real time, and use message queues (such as RabbitMQ, Kafka, etc.) to process asynchronous tasks of orders, such as order generation and payment notifications. In some embodiments, the order system module 120 may also not use message queues and may adopt a synchronous processing method to process multiple order information simultaneously; or it may use the order management service of a cloud service provider, such as Alibaba Cloud's order center. In some embodiments, order information may be stored in database 150 for convenient subsequent querying and management.

[0034] In some embodiments, the LIMS module 130 can comprehensively manage the laboratory's testing process, from sample pretreatment and testing process management to result entry, achieving full-process information management. In some embodiments, the LIMS module can also interface with testing instruments and equipment, automatically collect test results, associate them with patient and order information, and upload the associated test reports to the management backend module 110. In some embodiments, the LIMS module 130 can embed the clinically significant QR code into the test report template, automatically loading and generating a test report with the QR code when the report is generated. For example, by selecting a test report template in the LIMS report settings and adding a "clinically significant QR code" field, the system automatically embeds the QR code when generating the report. In some embodiments, the LIMS module 130 can also upload the test report module to the management backend module. In some embodiments, the LIMS module 130 also has quality control functions, enabling real-time review and verification of test data to ensure the accuracy and reliability of test results. If abnormal test results are found, the system can automatically prompt laboratory staff for re-examination. In some embodiments, the LIMS module also supports batch import and export of test items, improving laboratory efficiency.

[0035] In some embodiments, the LIMS module 130 can communicate with the testing equipment via a data interface to collect testing data in real time. It uses a workflow engine (such as Activiti) to manage the testing process, monitoring the entire process from sample collection, transportation, testing to result entry. It can also perform quality control on the testing data, setting data validation rules to ensure the accuracy and reliability of the data. In some embodiments, the testing process can also be managed manually or a secondary development of an open-source LIMS system can be used to manage the testing process.

[0036] In some embodiments, the query module 140 can provide a query interface for users. For example, using a QR code scanning method, users can scan the QR code in the report using a personal terminal's scanning tool (such as a WeChat mini-program), and the system will redirect to a display page showing the clinical significance. Users can then query the clinical significance corresponding to the test items, presenting the clinical significance to the user in an intuitive and easy-to-understand way. In some embodiments, the query module can also support multiple query methods. For example, it can support multiple query conditions such as order number query, patient name query, and test item query, to meet the needs of different users who can choose the appropriate query method according to their actual situation.

[0037] In some embodiments, the query module 140 may employ an intelligent search algorithm to quickly and accurately locate the information required by the user. In some embodiments, the query module may also support fuzzy and relational queries; when the user's input query information is incomplete or inaccurate, it can automatically recommend relevant information, thereby improving the success rate of the query. In some embodiments, the query module 140 may use a full-text search engine (such as Elasticsearch or Clickhouse) to implement fuzzy and relational queries, improving the accuracy and efficiency of the query. In some embodiments, it may also use SQL queries from a database or use other open-source search frameworks to manage user data, such as Solr.

[0038] This application generates unique clinically significant QR codes by dynamically associating disease codes with test items and embedding them into test report templates, allowing users to directly access dynamically updated clinical significance details. During QR code generation, the query system can generate QR codes containing detailed clinical significance based on the correspondence between specific test item information and disease codes. For example, for a blood test item, the system can integrate information such as the item's normal reference values, possible related diseases, disease symptoms, and treatment recommendations to generate a QR code containing this information. In some embodiments, to ensure the uniqueness and security of the QR code, an encryption module may be included, which can be connected to the management backend module and use an encryption algorithm to encrypt the QR code generated by the management backend module. In some embodiments, the validity period and usage limits of the QR code can also be set to prevent its misuse.

[0039] In some embodiments, when a user scans a QR code, the query system can automatically redirect to the display page. In some embodiments, the display page can employ advanced front-end technology, providing a good user experience and interactivity. The page can display clinical significance details in multimedia formats, including text descriptions, tables, image descriptions, animations, video explanations, and attachment downloads. For example, for some complex medical concepts, the system can explain them through animations, making them easier for users to understand. Users can choose different display methods according to their needs to gain a deeper understanding of the clinical significance of the test items. In some embodiments, the display page may also include other interactive functions, such as supporting online consultations. Users can consult with professionals (e.g., doctors, nurses, medical customer service) at any time, and professionals can respond to user inquiries in real time, providing professional advice and guidance to ensure timely communication between users and medical staff. In some embodiments, the query system can record user consultation history for easy viewing and review by users and professionals. In some embodiments, the display page can also recommend relevant medical knowledge and health information to users based on their browsing history and query records. In some embodiments, the display page can adopt a responsive design, adapting to different device screen sizes, such as mobile phones, tablets, computers, and other types of terminals.

[0040] The clinical significance query system of this application integrates a multi-system collaborative mechanism of management backend module, order system module, laboratory information management system (LIMS) module, and query module. It enables seamless data flow and automated embedding. Through backend configuration, it achieves real-time binding of disease codes and test items, supports batch import and automatic synchronous updates of disease names and clinical significance. Based on the disease code and test item, a unique QR code is generated. After scanning, it redirects to a display page containing text content, allowing users to directly obtain dynamically updated clinical significance details. This effectively improves query efficiency, ensures real-time information updates, enhances report readability and interactivity, and reduces manual maintenance costs.

[0041] Improved search efficiency: Users can quickly obtain the clinical significance of medical test reports by scanning QR codes, eliminating the need to spend a lot of time searching for information and consulting doctors. This significantly improves search efficiency and shortens search time by at least 60%. For example, with traditional search methods, users may need to spend hours or even days obtaining relevant information from various media, while using the QR code search system, users can complete the information search in just a few seconds.

[0042] Ensuring real-time information updates: Because the system uses a unified management platform to manage the association information between test items and disease names, backend administrators can update data in a timely manner to ensure that the clinical significance obtained by users is up-to-date. For example, when there are new discoveries in medical research or updates to clinical guidelines, system administrators can update the relevant information in the management backend in a timely manner, or the system can automatically obtain updated information, so that users can obtain the latest content the next time they scan the QR code.

[0043] Enhancing report readability and interactivity: The presentation page uses multimedia to display information, making it easy for non-professionals to understand the clinical significance. It also supports online consultations with medical professionals, further improving the report's readability and interactivity. For example, diverse displays such as images, charts, tables, and attachments can intuitively show the normal range and trends of test indicators, while videos can provide detailed explanations of disease symptoms and treatments, enabling users to gain a deeper understanding of their health status.

[0044] Reduced manual maintenance costs: The system's automated management and data update functions reduce the workload of manually searching and organizing information, lowering manual maintenance costs by approximately 40%. For example, traditional information maintenance methods require dedicated personnel to regularly collect and organize medical literature and clinical guidelines, while with this system, most of the work can be completed automatically, significantly saving labor costs.

[0045] Figure 2 This is a flowchart illustrating the implementation of a clinical significance lookup according to one embodiment of this application.

[0046] As shown in the figure, in step 210, the disease name and clinical significance are configured. In some embodiments, configuring the disease name and clinical significance through the management backend module can also associate the disease name with the clinical significance. In some embodiments, text, images, and attachments can be directly uploaded to the management backend module. In some embodiments, the management backend module can also update the configured disease name and clinical significance in real time. In some embodiments, a unique disease code can be set for disease name matching. In some embodiments, a disease code can be set for disease name matching through the management backend module.

[0047] In step 220, the disease code is matched with the test item, and a unique clinically significant QR code is generated. In some embodiments, after the order system module receives a test order, it completes the relevant information of the order template (such as disease code, test item name, etc.), and matches the disease code with the test item based on the relevant information of the order template, and generates a unique clinically significant QR code. In some embodiments, the order system module can also upload the obtained order template to the management backend module, which will then match the disease code with the test item and generate a unique clinically significant QR code.

[0048] In step 230, a test report template is configured, the QR code is embedded in the template, and a test report containing the QR code is automatically output. In some embodiments, the LIMS module can configure a test report template for a relevant order template, embed the QR code in the test report template, and output or upload the test report containing the QR code to the management backend module. In some embodiments, the LIMS module can configure a test report template for a relevant order template, upload the test report template to the management backend module, and the management backend module will embed the QR code in the test report template and output the test report containing the QR code.

[0049] In step 240, the user scans the QR code in the test report to access the display page and obtain real-time updated details of the clinical significance. In some embodiments, the user can scan the QR code provided by the query module to access the display page and obtain real-time updated details of the clinical significance.

[0050] The above embodiments are for illustrative purposes only and are not intended to limit the invention. Those skilled in the art can make various changes and modifications without departing from the scope of the invention. Therefore, all equivalent technical solutions should also fall within the scope of the invention.

Claims

1. A clinical significance query system based on QR codes, comprising: The management backend module is responsible for the configuration and management of the entire system, associating disease names with clinical meanings, and setting unique disease codes for matching disease names; The order system module, which is connected to the management backend module, processes user testing orders when it receives them, records order and user information, and imports the testing orders into the management backend module. The LIMS module, which is connected to the management backend module, is responsible for managing the laboratory's testing data, associating test results with test orders, and uploading the associated test reports to the management backend module. The query module is connected to the management backend module and provides a query interface for users; The management backend module dynamically associates disease codes with test orders to generate clinical significance QR codes, which are then embedded in the test reports. Scanning the QR code on the test report will take you to a display page showing the details of the clinical significance.

2. The clinical significance query system based on QR codes according to claim 1, wherein the management backend module includes one or more of the following: disease name management, clinical significance management, association settings between disease names and clinical significance, association settings between disease codes and test orders, and QR code generation rules.

3. The clinical significance query system based on QR codes according to claim 2, wherein the management backend module includes adding, batch importing and editing disease names and / or clinical significance.

4. In the clinical significance query system based on QR codes according to claim 3, the management backend module performs batch import and standardized data update of disease names through Excel templates.

5. The clinical significance query system based on QR codes according to claim 2, wherein the management backend module supports URL association and dynamic updates of multimedia content.

6. The clinical significance query system based on QR codes according to claim 1 further includes a database connected to a management backend module for storing relevant data of the system.

7. The clinical significance query system based on QR codes according to claim 1 further includes an encryption module, which is connected to the management backend module and uses an encryption algorithm to encrypt the QR codes generated by the management backend module.

8. The clinical significance query system based on QR code according to claim 1, wherein the display page includes a display area, and the display area displays the obtained clinical significance details in a multimedia format.

9. The clinical significance query system based on QR codes according to claim 9, wherein the multimedia format includes one or more of the following: text description, table display, image description, animation demonstration, video explanation, and attachment download.

10. A method for clinical significance query based on QR codes, comprising: Configure the disease name and its clinical significance, and set a unique disease code for each disease name; When a testing order is received, the disease code is matched with the testing order, and a unique clinically meaningful QR code is generated; After completing the test results for the test order, configure the test report template, embed the QR code into the test report template, and automatically output the test report containing the QR code; Scan the QR code in the test report to access the display page and obtain details of its clinical significance.

11. The method for clinical significance query based on QR codes according to claim 11, wherein, Based on the specific information of the test items and the correspondence between disease codes, a QR code containing detailed clinical significance is generated.

12. The method for clinical significance query based on QR codes according to claim 11, comprising: The QR code is encrypted using an encryption algorithm.

13. The method for clinical significance query based on QR codes according to claim 11, comprising: The configuration of disease names and / or clinical significance is updated in real time.

14. The method for clinical significance query based on QR codes according to claim 13, comprising: Batch import and standardize the updating of disease names and / or clinical significance using Excel templates.

15. The method for clinical significance query based on QR codes according to claim 13, comprising: Disease names and / or clinical significance are dynamically updated by associating them with the URLs of multimedia content.