Medical big data unified interface management method based on kettle micro service

Abstract

The invention relates to the technical field of medical big data, in particular to a kettle micro-service-based medical big data unified interface management method, which comprises the following steps of 1, data acquisition: acquiring medical data from each data source through kettle micro-service, and storing the medical data in a data warehouse; step 2, data cleaning: cleaning and converting the collected data, removing repeated data, correcting wrong data, converting data formats and the like so as to ensure the quality and consistency of the data; and step 3, data modeling: according to business requirements, modeling and analyzing the cleaned data, and establishing a logic model and a physical model of the data warehouse. According to the method, the interface development efficiency is improved, the data interface can be quickly developed and deployed by using the kettle micro-service, and the interface development efficiency is greatly improved. By establishing a unified data interface management platform, centralized management and maintenance can be carried out on the data interfaces, and the maintenance cost of the interfaces is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of medical big data, and in particular to a medical big data unified interface management method based on kettle microservices. Background Art

[0002] With the rapid development of medical information technology, a large amount of medical data has been accumulated within medical institutions. These data come from a wide range of sources and in various formats, including electronic medical records, medical images, test reports, etc. In order to share and utilize medical data, it is necessary to establish a unified data interface so that different systems and applications can easily access and use these data.

[0003] However, there are some problems with the traditional medical data interface management method, such as low interface development efficiency, difficult interface maintenance, and difficult to ensure interface security. In order to solve these problems, the present invention proposes a medical big data unified interface management method based on kettle microservices.

[0004] Therefore, we proposed a unified interface management method for medical big data based on kettle microservices to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a medical big data unified interface management method based on kettle microservices to solve the current market problems raised by the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a medical big data unified interface management method based on kettle microservices, comprising the following steps:

[0007] Step 1: Data collection: Collect medical data from various data sources through the kettle microservice and store it in the data warehouse;

[0008] Step 2: Data cleaning: Clean and convert the collected data, remove duplicate data, correct erroneous data, convert data formats, etc. to ensure data quality and consistency;

[0009] Step 3: Data modeling: Model and analyze the cleaned data according to business needs, and establish the logical model and physical model of the data warehouse;

[0010] Step 4: Interface design: Based on the logical model and physical model of the data warehouse, design a unified data interface, including the interface name, parameters, return value, etc.;

[0011] Step 5: Interface development: Use the kettle microservice to develop a data interface and deploy it to the interface server;

[0012] Step 6 Interface testing: Test the developed data interface, including functional testing, performance testing, security testing, etc., to ensure the stability and reliability of the interface;

[0013] Step 7: Interface release: Release the tested data interface to the interface management platform for other systems and applications to call;

[0014] Step 8 Interface monitoring: Monitor the published data interfaces, including the call frequency, response time, error rate, etc. of the interfaces, so as to timely discover and solve interface problems;

[0015] Step 9: Interface maintenance: Maintain and upgrade the data interface according to changes in business needs, including interface parameter adjustment, function expansion, performance optimization, etc.

[0016] Step 10: Data security: Implement a security mechanism for data transmission, including data encryption, access control, etc., and provide system monitoring and logging functions. Use SSL / TLS encryption technology and RBAC mechanism to ensure the security of data transmission and access.

[0017] Furthermore, in the data collection step, the ETL tool of the kettle microservice is used to collect medical data from various data sources.

[0018] Furthermore, in the data cleaning step, the collected data is cleaned and converted using the conversion tool of the kettle microservice.

[0019] Furthermore, in the data modeling step, the cleaned data is modeled and analyzed using the modeling tool of the kettle microservice.

[0020] Furthermore, in the interface design step, a unified data interface is designed using the kettle microservice design tool.

[0021] Furthermore, in the interface development step, a data interface is developed using the development tool of the kettle microservice and deployed on the interface server.

[0022] Furthermore, in the interface testing step, the developed data interface is tested using the kettle microservice testing tool.

[0023] Furthermore, in the interface publishing step, the kettle microservice publishing tool is used to publish the tested data interface to the interface management platform.

[0024] Furthermore, in the interface monitoring step, the published data interface is monitored using the monitoring tool of the kettle microservice.

[0025] Furthermore, in the interface maintenance step, the data interface is maintained and upgraded using the maintenance tool of the kettle microservice.

[0026] Compared with the prior art, the beneficial effects of the present invention are as follows: the medical big data unified interface management method based on kettle microservices:

[0027] Improved interface development efficiency: By using kettle microservices, data interfaces can be quickly developed and deployed, greatly improving the efficiency of interface development.

[0028] Reduced interface maintenance costs: By establishing a unified data interface management platform, data interfaces can be centrally managed and maintained, reducing interface maintenance costs.

[0029] Ensure interface security: By performing security testing and monitoring on data interfaces, the security of interfaces can be guaranteed to prevent data leakage and malicious attacks.

[0030] Realize efficient sharing and utilization of medical big data: By establishing a unified data interface, efficient sharing and utilization of medical big data can be realized, providing strong support for the business decision-making of medical institutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the process of the present invention; DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] like Figure 1 As shown, the present invention provides a technical solution: a medical big data unified interface management method based on kettle microservices, comprising the following steps:

[0034] Step 1: Data collection: Medical data is collected from various data sources through the kettle microservice and stored in the data warehouse. In the data collection step, the ETL tool of the kettle microservice is used to collect medical data from various data sources;

[0035] Step 2: Data cleaning: Clean and convert the collected data, remove duplicate data, correct erroneous data, convert data formats, etc. to ensure data quality and consistency. In the data cleaning step, use the conversion tool of the kettle microservice to clean and convert the collected data;

[0036] Step 3: Data modeling: Model and analyze the cleaned data according to business needs, and establish the logical model and physical model of the data warehouse. In the data modeling step, use the modeling tool of the kettle microservice to model and analyze the cleaned data;

[0037] Step 4: Interface design: Based on the logical model and physical model of the data warehouse, design a unified data interface, including the interface name, parameters, return value, etc. In the interface design step, use the kettle microservice design tool to design a unified data interface;

[0038] Step 5: Interface development: Use the kettle microservice to develop a data interface and deploy it to the interface server. In the interface development step, use the development tool of the kettle microservice to develop a data interface and deploy it to the interface server.

[0039] Step 6: Interface testing: Test the developed data interface, including functional testing, performance testing, security testing, etc., to ensure the stability and reliability of the interface. In the interface testing step, use the kettle microservice testing tool to test the developed data interface;

[0040] Step 7: Interface release: Publish the tested data interface to the interface management platform for other systems and applications to call. In the interface release step, use the kettle microservice release tool to publish the tested data interface to the interface management platform.

[0041] Step 8: Interface monitoring: Monitor the published data interfaces, including the call frequency, response time, error rate, etc. of the interfaces, so as to timely discover and solve interface problems. In the interface monitoring step, the monitoring tool of the kettle microservice is used to monitor the published data interfaces.

[0042] Step 9: Interface maintenance: Maintain and upgrade the data interface according to changes in business requirements, including parameter adjustment, function expansion, performance optimization, etc. of the interface. In the interface maintenance step, use the maintenance tool of the kettle microservice to maintain and upgrade the data interface;

[0043] Step 10: Data security: Implement a security mechanism for data transmission, including data encryption, access control, etc., and provide system monitoring and logging functions. Use SSL / TLS encryption technology and RBAC mechanism to ensure the security of data transmission and access.

[0044] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A medical big data unified interface management method based on kettle microservices, characterized in that: The following steps are involved: Step 1: Data collection: Collect medical data from various data sources through the kettle microservice and store it in the data warehouse; Step 2: Data cleaning: Clean and convert the collected data, remove duplicate data, correct erroneous data, and convert data formats to ensure data quality and consistency; Step 3: Data modeling: Model and analyze the cleaned data according to business needs, and establish the logical model and physical model of the data warehouse; Step 4: Interface design: Based on the logical model and physical model of the data warehouse, design a unified data interface, including the interface name, parameters, and return value; Step 5: Interface development: Use the kettle microservice to develop a data interface and deploy it to the interface server; Step 6 Interface testing: Test the developed data interface, including functional testing, performance testing, security testing, etc., to ensure the stability and reliability of the interface; Step 7: Interface release: Release the tested data interface to the interface management platform for other systems and applications to call; Step 8: Interface monitoring: Monitor the published data interfaces, including the call frequency, response time, and error rate of the interfaces, so as to promptly discover and resolve interface problems; Step 9: Interface maintenance: Maintain and upgrade the data interface according to changes in business needs, including interface parameter adjustment, function expansion, and performance optimization. Step 10: Data security: Implement a security mechanism for data transmission, including data encryption, access control, etc., and provide system monitoring and logging functions. Use SSL / TLS encryption technology and RBAC mechanism to ensure the security of data transmission and access.

2. According to claim 1, a medical big data unified interface management method based on kettle microservices is characterized by: In the data collection step, the ETL tool of the kettle microservice is used to collect medical data from various data sources.

3. According to claim 1, a medical big data unified interface management method based on kettle microservices is characterized by: In the data cleaning step, the conversion tool of the kettle microservice is used to clean and convert the collected data.

4. According to claim 1, a medical big data unified interface management method based on kettle microservices is characterized by: In the data modeling step, the modeling tool of the kettle microservice is used to model and analyze the cleaned data.

5. According to claim 1, a medical big data unified interface management method based on kettle microservices is characterized by: In the interface design step, a unified data interface is designed using the kettle microservice design tool.

6. According to claim 1, a medical big data unified interface management method based on kettle microservices is characterized by: In the interface development step, the data interface is developed using the development tool of the kettle microservice and deployed to the interface server.

7. According to claim 1, a medical big data unified interface management method based on kettle microservices is characterized by: In the interface testing step, the developed data interface is tested using the kettle microservice testing tool.

8. According to claim 1, a medical big data unified interface management method based on kettle microservices is characterized by: In the interface publishing step, the kettle microservice publishing tool is used to publish the tested data interface to the interface management platform.

9. According to claim 1, a medical big data unified interface management method based on kettle microservices is characterized by: In the interface monitoring step, the published data interface is monitored using the monitoring tool of the kettle microservice.

10. A medical big data unified interface management method based on kettle microservices according to claim 1, characterized in that: In the interface maintenance step, the data interface is maintained and upgraded using the maintenance tool of the kettle microservice.

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