Intelligent management information system for laboratory archives
By designing a JAVA-based intelligent management information system for laboratory archives, the problem of inefficiency in traditional paper archives is solved, and the electronic management of laboratory archives is realized and real-time online verification is realized, which improves management efficiency and quality.
Patent Information
- Application Number
- CN202411982172.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-04-29
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The traditional laboratory archive management model relies on paper registration and manual processing, resulting in inefficiency, safety and reliability that cannot meet the needs of modern inspection and testing tasks.
A fully B/S microservice architecture based on JAVA is designed, and the electronic classification and archive management information system of laboratory archives is realized by adopting containerized, continuous deployment, mobile terminal technology and microservice architecture, combined with core technologies such as automated operation and maintenance deployment, security and service governance, and operation monitoring.
Through electronic management, the efficiency and quality of archive management have been improved, convenient services have been optimized, and real-time online verification and permanent preservation of laboratory archives of the Centers of Disease Control and Prevention have been realized, thus forming a shared resource system for disease control.
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Figure CN119902744A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent management of laboratory archives, and in particular to an intelligent management information system for laboratory archives. Background Art
[0002] Informatization has become a leading force and key engine leading and driving innovation, development and modernization transformation in all areas of the economy and society.
[0003] In order to configure a laboratory testing system that is compatible with integrated, innovative, and smart disease control centers and better serve the construction of smart laboratories, it is imperative to build a new laboratory testing system that "integrates business, information, and intelligence, and meets the principles of system, openness, integration, efficiency, and frugality." Strengthening the integration, sharing, and application of health resources, solving the problems of fragmented health information, compartmentalized business, and segmented work, and realizing the transformation from a disease-centered to a people-centered health management model requires planning the construction and development of disease prevention and control information systems from the overall perspective of universal health security informatization, accelerating the construction of disease prevention and control informatization, and continuously meeting the business needs of disease prevention and control work.
[0004] For a long time, the CDC laboratory has adopted the traditional archive management model, which requires paper registration, and completes the corresponding collection and filing processing, and finally stores the paper archives in the corresponding archives room. The whole process not only consumes a lot of material and financial resources, but also greatly increases the workload of archive management personnel, resulting in a decrease in the efficiency of archive work. For example, in terms of sample acceptance, sample registration is still carried out by manually filling out sample acceptance forms; inspection and testing reports are basically generated by manual input calculations, paper printing reports, and manual filing management. Its security, reliability, accuracy, and efficiency are difficult to meet the needs of inspection and testing tasks in the new era. With the acceleration of the incremental growth of archival information data, it brings many difficulties to the collection, accumulation, organization, classification and long-term storage of archival materials. Summary of the invention
[0005] The technical problem to be solved by the present invention is to overcome the defects of the above-mentioned technology and provide a laboratory archive intelligent management information system.
[0006] In order to solve the above technical problems, the technical solution provided by the present invention is a laboratory archive intelligent management information system: the system is based on a complete B / S microservice architecture of JAVA, and the core technologies include:
[0007] Containerization: Docker container engine and Rancher+K8S cluster container management tool;
[0008] Continuous deployment: pipeline, continuous integration tool (Jenkins), code repository (Gitlab), image repository (Harbor);
[0009] Mobile: H5 and Android use the MVP architecture, integrating Butterknife, RxJava, RxAndroid, Retrofit, okHttp and GreenDAO frameworks;
[0010] The system is based on the microservice technology architecture system of SpringCloud family bucket, which includes 4 parts:
[0011] Basic technical architecture: including front-end access layer, gateway routing layer, business layer, public technology layer and data storage layer. The lower layer provides basic technology or service support for the implementation of the upper layer, and simplifies the complexity of the upper layer implementation through abstraction and separation of concerns;
[0012] Automated operation and maintenance deployment: Based on Jenkins, Docker and k8s, we can realize automated continuous integration, deployment and automated scheduling management of service operation;
[0013] Security and service governance: Implement standardized security authentication and authorization based on OAuth2 and OIDC based on SpringSecurity, provide reliable security control management for customer service and data, and implement convenient service registration, discovery, configuration management and other service governance functions based on nacos;
[0014] Operation monitoring: Service chain monitoring is implemented based on Zipkin, and combined with Prometheus's software and hardware operation status monitoring and alarm, complete service operation status management is achieved, providing effective data analysis support for early detection and avoidance of problems in service operation.
[0015] Furthermore, the software application environment of the system in the application server, database server, and client is as follows:
[0016] Application server: supports WindowsServer / Linux / Unix / CentOS / Kylin and other operating systems;
[0017] Database server: support large databases such as Oracle, MSSQLServer, MySQL, or domestic and open source databases;
[0018] Client: Supports operating systems such as Windows 7 / Windows 10 / Kylin, and the browser is compatible with multiple browsers such as IE11+, Firefox, Google Chrome, and 360.
[0019] The advantages of the present invention compared with the prior art are: the present invention develops an efficient CDC laboratory data comprehensive management platform to achieve electronic classification and archiving management of paper-based integrated business information, experimental test data and related reports, adopts a cross-platform combination of software and hardware to improve data information collection capabilities, uses system rapid identification and directory, keyword automatic archiving technology to establish a complete comprehensive business data archive, relies on cloud servers to build an operating and storage environment and establish a disaster recovery backup mechanism, while facilitating cross-platform comprehensive business data retrieval, multi-department hierarchical authorization data management and multi-interface on-demand access, realizes a single-set management mode for CDC laboratory archives, thereby ensuring that all archive data can be checked online in real time and the original data is permanently preserved, thereby achieving the purpose of improving the efficiency and quality of archive management, optimizing convenient services, and promoting the formation of a CDC shared resource system. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] Figure 1 This is a diagram of the microservice technology architecture system based on SpringCloud family bucket of the present invention. DETAILED DESCRIPTION
[0021] Embodiment 1, in combination with Figure 1 , a laboratory archive intelligent management information system, the system is based on JAVA's complete B / S microservice architecture, the core technologies include:
[0022] Containerization: Docker container engine and Rancher+K8S cluster container management tool;
[0023] Continuous deployment: pipeline, continuous integration tool (Jenkins), code repository (Gitlab), image repository (Harbor);
[0024] Mobile: H5 and Android use the MVP architecture, integrating Butterknife, RxJava, RxAndroid, Retrofit, okHttp and GreenDAO frameworks;
[0025] The system is based on the microservice technology architecture system of SpringCloud family bucket, which includes 4 parts:
[0026] Basic technical architecture: including front-end access layer, gateway routing layer, business layer, public technology layer and data storage layer. The lower layer provides basic technology or service support for the implementation of the upper layer, and simplifies the complexity of the upper layer implementation through abstraction and separation of concerns;
[0027] Automated operation and maintenance deployment: Based on Jenkins, Docker and k8s, we can realize automated continuous integration, deployment and automated scheduling management of service operation;
[0028] Security and service governance: Implement standardized security authentication and authorization based on OAuth2 and OIDC based on SpringSecurity, provide reliable security control management for customer service and data, and implement convenient service registration, discovery, configuration management and other service governance functions based on nacos;
[0029] Operation monitoring: Service chain monitoring is implemented based on Zipkin, and combined with Prometheus's software and hardware operation status monitoring and alarm, complete service operation status management is achieved, providing effective data analysis support for early detection and avoidance of problems in service operation.
[0030] The overall architecture is designed and implemented strictly in accordance with the idea of modularization, componentization, and layered construction. On the one hand, this kind of planning can better show all the contents of each level included in the project; on the other hand, it can also clearly show the good adaptability of the designed system to the foundation of each layer, fully ensuring the scalability and sustainable development of the system.
[0031] The software application environment of the system in the application server, database server and client is as follows:
[0032] Application server: supports WindowsServer / Linux / Unix / CentOS / Kylin and other operating systems;
[0033] Database server: support large databases such as Oracle, MSSQLServer, MySQL, or domestic and open source databases;
[0034] Client: Supports operating systems such as Windows 7 / Windows 10 / Kylin, and the browser is compatible with multiple browsers such as IE11+, Firefox, Google Chrome, and 360.
[0035] This system fully supports the installation and deployment of domestic environments, and can support the adaptation of mainstream domestic or open source systems, middleware and databases.
[0036] This system is a professional software specially provided for disease control departments. It is a pure B / S architecture. The characteristics of the technology used in the system are as follows:
[0037] 1. Developed in Java language, it is cross-platform and portable.
[0038] 2. The system adopts the most popular SpringCloud family bucket, which has unique advantages in microservices and cloud deployment.
[0039] 3. The front-end is based on a self-developed front-end framework based on Vue and TypeScript, which is technologically advanced and more in line with the laboratory information management system software products. It also has the characteristics of faster rendering and smoother operation, and can more flexibly meet the layout design of complex interfaces.
[0040] 4. It has the function of online editing and viewing documents (Word, PDF, Excel, etc.), and the client has no plug-ins, which makes it more convenient to use and provides a better experience.
[0041] 5. Equipped with ELN electronic experiment record book, customers can conveniently operate by dragging the mouse.
[0042] 6. It has the original record function, meets the needs of different industries, and can be easily customized according to customer needs.
[0043] 7. Powerful audit tracking function can track the changes in business data, which is more in line with laboratory audit requirements.
[0044] 8. Instrument data collection supports two methods: serial port collection and file collection. File collection supports the configuration of collection rules, so that instrument data can be captured into the inspection data information management platform without any coding.
[0045] 9. Use media query technology to achieve responsive layout design, which is perfectly compatible with mobile phones, tablets, PCs and other terminals, and truly brings a better user experience to users using terminals of various screen sizes. This project solves the problem of cross-institutional collaborative operation, uses informatization to sink disease control resources, opens up channels for upward and downward transfers, forms a mechanism for top-down linkage, information sharing, and data continuity management, and accelerates the realization of a resource sharing management system between the county disease control and other departments. Realize information collaboration covering all business application systems, realize cross-department and cross-institutional information interconnection, and enhance disease control public service capabilities, inspection and testing capabilities, and disease control operational efficiency.
[0046] The characteristics of this system are as follows:
[0047] 1. The work process is traceable, which enhances the authenticity of the files. The traceability of various laboratory work is the basis for ensuring the authenticity of laboratory files. The traceability of laboratory work is mainly reflected in three aspects: the traceability of samples, the traceability of the testing process, and the traceability of testing responsibilities.
[0048] 2. Real-time online collection to ensure the integrity of archives. Reserve interfaces with various business systems to conduct online collection, metadata capture, organization and pre-archiving at any time. Automatically convert the collected directory data into a standardized archive directory and save the original format file in the system. Achieve full management of the entire life cycle of laboratory archives from formation to preservation or destruction, promote the improvement of laboratory archive management efficiency and service level, continuously meet the business needs of disease prevention and control work, and accelerate the construction of intelligent disease control.
[0049] 3. Multi-mode retrieval to ensure the availability of archives. The platform supports multiple ways to retrieve archives, such as basic retrieval, fuzzy retrieval, conditional retrieval, etc., which are convenient for access and use. Quickly finding the corresponding archival materials through keyword retrieval can further reduce the retrieval time, comprehensively optimize the working mode, greatly improve the efficiency of information extraction, maximize the protection and mining of archive value, make archive room management work safer, more convenient, intelligent and efficient, and help the disease control archive management work to a higher level.
[0050] 4. Set up accounts with different permissions to enhance file security. The platform takes into account the security of laboratory files. For example, the system login users should be authenticated to prevent illegal users from intruding. According to the different security requirements of different business processes, corresponding security protection measures (such as digital signatures, data encryption, password authentication, certificate authentication, integrity protection, etc.) can be selected, and the authentication method can be flexibly expanded. In addition, it also includes application security, system security, network security and security management, which fully guarantees the security and privacy of laboratory files.
[0051] 5. Digital signature technology realizes the electronic management of the entire laboratory process. The platform uses asymmetric key encryption digital signature technology to give each user a unique digital key (electronic signature certificate) for electronic signature. When operating the system, such as reviewing and issuing reports, if an electronic signature is required, the system will automatically save the user's electronic signature in the system after entering the user name and password of the authorized user to effectively verify the user's identity. The electronically signed data can be verified by the system through the public key to ensure the legality and validity of the electronic signature. The platform uses electronic signatures, signature verification, timestamps, and digital certificate products in the inspection business process to realize the signing and verification of the inspection and testing report business links, ensure the confidentiality, authentication, integrity and non-repudiation of the electronic record files of the inspection products, and realize the online transmission and authenticity verification of the inspection report.
[0052] 6. The three-in-one archive management system is embedded in the platform to realize the pre-archiving of electronic files. To realize the pre-archiving of electronic files, the following tasks must be completed first: first, determine the storage period of electronic files based on actual conditions; second, determine the file number of the electronic file according to the classification plan; third, extract the core metadata of electronic files such as test reports and implementation plans to form directory entries; fourth, extract the metadata in the processing of the same electronic file from the relevant database to form a metadata collection, which is saved in XML format or other formats; finally, collect the test report, related attachments, metadata in the process of test report formation, etc., make it into a data package (SIP), assign a file number, and put it in the designated storage location to complete the pre-archiving.
[0053] 7. Improve the quality of electronic archive filing by importing the archives into the integrated system through the database. Complete the pre-archiving of electronic archives on the smart disease control and inspection integrated management platform, and regularly import them into the archives integrated system through the database. On this basis, further improve the level of informationization of archive management, actively coordinate and promote the connection with the county archives integrated system, and realize the real-time online archiving function of native electronic files. The R&D personnel of the smart disease control and inspection integrated management platform provide an interface document containing the title, responsible person, date, file number, retention period, number of pages, confidentiality level, control identification, etc. The R&D personnel of the county archives integrated system will complete the docking work, and it is expected to realize the real-time online archiving function of native electronic files.
[0054] The core advantages of this system:
[0055] Technical advantages: The inspection data information management platform to be built in this project is a complete B / S microservice architecture based on JAVA. The core technologies include:
[0056] Containerization: Docker container engine and Rancher+K8S cluster container management tool
[0057] Continuous deployment: Pipeline, continuous integration tool (Jenkins), code repository (Gitlab), image repository (Harbor)
[0058] Mobile: H5 and Android use MVP architecture. Integrates Butterknife, RxJava, RxAndroid, Retrofit, okHttp and GreenDAO frameworks.
[0059] Competitive advantage: Establish a visualized and digital "one platform and two systems" namely the smart disease control information management platform, emergency material management system and laboratory inspection and testing management system. The systems are interconnected and expansion ports are reserved for future construction, which can add monitoring modules such as medical care, pharmacies, and schools. The platform construction reserves expandable interfaces to facilitate the access of third-party platform systems such as smart cities, HIS systems, disease control centers, national health, and other systems of AiShandong. Realize the sharing of big data, share test results, and open the results to those in need, so as to achieve the purpose of data disclosure and resource sharing.
[0060] Promotional advantages: The overall architecture is designed and implemented strictly in accordance with the ideas of modularization, componentization, and layered construction. On the one hand, this kind of planning can better show all the contents of each level included in the project; on the other hand, it can also clearly show the good adaptability of the designed system to the foundation of each layer, fully ensuring the scalability and sustainable development of the system; more importantly, this layering can clarify the decomposition of tasks during project planning and implementation, which is conducive to the concurrent implementation of project construction tasks based on the pre-defined interface, thus shortening the overall construction cycle.
[0061] This system is connected horizontally, integrated vertically, and coordinated to effectively build "integrated, intelligent, and digital disease control."
[0062] Based on public services and guided by policy orientation, supported by 5G, cloud computing, big data, and blockchain technology, under the new digital economic form, we will build an integrated digital and intelligent laboratory information management network platform for CDCs with unified data standards, unified platform catalogs, unified standardized original record management models, unified instrument data collection management, and unified quality control specifications.
[0063] It will drive the county's disease control centers, hospitals, and community clinics to achieve intelligent, digital, full-process closed-loop management of patient samples, improve inspection efficiency, enhance the comprehensive business inspection and testing capabilities of each unit, and reduce the cost of building laboratories for each unit. It will promote the rapid improvement of the quality and brand influence of local medical institutions, better assist the digital transformation of disease control centers and hospitals, promote the transformation of new and old kinetic energy in the county, and promote the high-quality development of the digital economy of enterprises in the county and the city.
[0064] The present invention and its implementation methods are described above. Such description is not restrictive. If a person skilled in the art is inspired by it and creatively designs an embodiment similar to the technical solution without departing from the purpose of the present invention, all such embodiments shall fall within the protection scope of the present invention.
Claims
1. A laboratory archive intelligent management information system, characterized by: The system is based on a complete B / S microservice architecture of JAVA, and its core technologies include: Containerization: Docker container engine and Rancher+K8S cluster container management tool; Continuous deployment: pipeline, continuous integration tool (Jenkins), code repository (Gitlab), image repository (Harbor); Mobile: H5 and Android use the MVP architecture, integrating Butterknife, RxJava, RxAndroid, Retrofit, okHttp and GreenDAO frameworks; The system is based on the microservice technology architecture system of SpringCloud family bucket, which includes 4 parts: Basic technical architecture: including front-end access layer, gateway routing layer, business layer, public technology layer and data storage layer. The lower layer provides basic technology or service support for the implementation of the upper layer, and simplifies the complexity of the upper layer implementation by abstraction and separation of concerns; Automated operation and maintenance deployment: Based on Jenkins, Docker and k8s, we can realize automated continuous integration, deployment and automated scheduling management of service operation; Security and service governance: Implement standardized security authentication and authorization based on OAuth2 and OIDC based on SpringSecurity, provide reliable security control management for customer service and data, and implement convenient service registration, discovery, configuration management and other service governance functions based on nacos; Operation monitoring: Service chain monitoring is implemented based on Zipkin, and combined with Prometheus's software and hardware operation status monitoring and alarm, complete service operation status management is achieved, providing effective data analysis support for early detection and avoidance of problems in service operation.
2. According to claim 1, the intelligent laboratory archive management information system is characterized by: The software application environment of the system in the application server, database server and client is as follows: Application server: supports WindowsServer / Linux / Unix / CentOS / Kylin and other operating systems; Database server: Supports large databases such as Oracle, MSSQLServer, MySQL, or domestic and open source databases; Client: Supports operating systems such as Windows 7 / Windows 10 / Kylin, and the browser is compatible with multiple browsers such as IE11+, Firefox, Google Chrome, and 360.