Clinical scientific research integrated medical database construction method and system based on multi-source heterogeneous data and storage medium

Abstract

The invention discloses a clinical scientific research integrated medical database construction method and system based on multi-source heterogeneous data and a storage medium, and relates to the field of medical data processing. Screening the historical medical data, determining an association relationship between different medical data based on different medical data types and different medical data sources, classifying the medical data, and constructing a medical database framework; constructing a medical digital twinborn database according to the medical database framework, obtaining multi-source heterogeneous data which is being generated, extracting feature data in a demand range of the digital twinborn database, and inputting the feature data into the digital twinborn database; and the digital twin database performs correlation analysis on the input data and the historical medical data, eliminates redundant data and error data, and stores the data to a corresponding position according to a mapping relationship between the output data and the medical database framework to obtain a medical database. The data quality and utilization rate are improved, the medical database structure is optimized, and the medical decision-making efficiency and accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the field of medical data processing, and more specifically to a method, system and storage medium for constructing a clinical and scientific research integrated medical database based on multi-source heterogeneous data. Background Art

[0002] The development level of medical databases has made significant progress in recent years, mainly due to the rapid development of science and technology and the trend of medical informationization and intelligence. A number of influential medical databases have emerged in China, such as Wanfang Database, China Biomedical Literature Database (CBM), Chinese Biomedical Citation Database (CMCI), etc. These databases not only include a large number of medical literature and research results, but also provide convenient retrieval and query functions.

[0003] With the continuous development of big data and artificial intelligence technology, domestic medical databases are accelerating their development towards intelligence and sophistication. Some new database management systems and big data analysis tools have been developed, such as mobile health assistants and hospitalAframe, which can help users obtain medical information more quickly and conduct more in-depth analysis of data.

[0004] Of course, there are opportunities and challenges in the rapid development of medical databases. For example, medical databases face challenges in data privacy protection, data security, data quality, etc. At the same time, with the continuous growth and diversification of medical data, how to efficiently store, manage and analyze this data has become an urgent problem to be solved. Summary of the invention

[0005] In view of this, the present invention provides a method, system and storage medium for constructing an integrated medical database for clinical research based on multi-source heterogeneous data, which has significant beneficial effects in improving data quality and utilization, optimizing the structure of the medical database, improving the efficiency and accuracy of medical decision-making, and promoting medical research and innovation.

[0006] In order to achieve the above object, the present invention adopts the following technical solution:

[0007] The method for constructing a clinical research integrated medical database based on multi-source heterogeneous data includes the following steps:

[0008] Collect various historical medical data, screen and normalize the historical medical data, determine the relationship between different medical data based on the type of medical data and the source of medical data, classify the medical data, and build a medical database framework;

[0009] Build a medical digital twin database based on the medical database framework, obtain the multi-source heterogeneous data being generated in real time, extract the feature data within the required range of the digital twin database and input it into the digital twin database;

[0010] The digital twin database performs correlation analysis on the input data and historical medical data, eliminates redundant and erroneous data, and stores the output data in the corresponding location according to the mapping relationship between the output data and the medical database framework to obtain a medical database.

[0011] Optionally, it also includes building an index for the medical database for data search, which specifically includes the following steps:

[0012] Obtain the storage information of each data in the medical database and build an index sequence based on the data source, data type, application scenario, and data security level;

[0013] Determine the data vector according to the field characteristics of each data and build a vector index.

[0014] Optionally, collect various historical medical data using the MVP method, process the data through NLP and regularization, and perform structured configuration on the electronic medical record data to achieve rapid traceability management.

[0015] Optionally, the digital twin database performs correlation analysis on the input data and historical medical data, and eliminates redundant and erroneous data through CRC quick recording technology.

[0016] Optionally, a medical digital twin database is constructed based on the medical database framework, specifically: obtaining the mapping relationship between the medical database framework and the twin, constructing the identification association relationship of the data and the twin structure based on the mapping relationship, performing data mapping and identification association matching processing on the medical database framework and the pre-built twin model to obtain a medical data twin database.

[0017] Optionally, the medical database can be equipped with custom forms, customized follow-up plans, follow-up information push, follow-up calendar, closed-loop follow-up management, patient indicator warning, follow-up path map, questionnaire data export, complete case integration, automatic sorting, data query / statistics / analysis, and intelligent voice conversion functions.

[0018] A system for building a clinical and scientific research integrated medical database based on multi-source heterogeneous data, including:

[0019] Medical data collection and processing module: used to collect various historical medical data, screen and normalize the historical medical data, determine the relationship between different medical data based on the type of medical data and the source of medical data, classify medical data, and build a medical database framework;

[0020] Digital twin database construction module: Build a medical digital twin database based on the medical database framework, obtain the multi-source heterogeneous data being generated in real time, extract the feature data within the required range of the digital twin database and input it into the digital twin database;

[0021] Medical database update module: used for the digital twin database to perform correlation analysis on input data and historical medical data, eliminate redundant data and erroneous data, and store the output data in the corresponding location according to the mapping relationship between the output data and the medical database framework to obtain the medical database.

[0022] Optionally, it also includes a medical database index construction module for data search, obtaining the storage information of each data in the medical database, and building an index sequence based on the data source, data type, application scenario and data security level; determining the data vector based on the field characteristics of each data and building a vector index.

[0023] A computer storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods for constructing a clinical and scientific research integrated medical database based on multi-source heterogeneous data are implemented.

[0024] It can be seen from the above technical solutions that, compared with the prior art, the present invention provides a method, system and storage medium for constructing a clinical research integrated medical database based on multi-source heterogeneous data, which has the following beneficial effects:

[0025] 1. By screening and normalizing historical medical data, the differences and inconsistencies between data can be eliminated, and the quality and comparability of data can be improved. This will help with subsequent data analysis and mining, making the results more accurate and reliable. The digital twin database analyzes the correlation between input data and historical medical data, and can discover potential connections and patterns between data, thereby eliminating redundant and erroneous data, and further improving data utilization and accuracy.

[0026] 2. The constructed medical database contains rich, accurate and timely medical data, which can provide doctors with comprehensive patient information and condition assessment, thereby assisting doctors in making more scientific and reasonable medical decisions. Through in-depth mining and analysis of medical data, the differences between different patients can be discovered, providing a basis for formulating personalized treatment plans. This helps to improve treatment effects and patient satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in 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 described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0028] Figure 1 It is a schematic diagram of the process of the present invention;

[0029] Figure 2 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0030] 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.

[0031] The embodiment of the present invention discloses a method for constructing a clinical research integrated medical database based on multi-source heterogeneous data. Figure 1 As shown, the following steps are included:

[0032] Step 1: Collect various historical medical data, screen and normalize the historical medical data, determine the correlation between different medical data based on the type of medical data and the source of medical data, classify the medical data, and build a medical database framework;

[0033] Step 2: Build a medical digital twin database based on the medical database framework, obtain the multi-source heterogeneous data being generated in real time, extract the feature data within the required range of the digital twin database and input it into the digital twin database;

[0034] Step 3: The digital twin database performs correlation analysis on the input data and historical medical data, eliminates redundant data and erroneous data, and stores the output data in the corresponding location according to the mapping relationship between the output data and the medical database framework to obtain the medical database.

[0035] Furthermore, the MVP method is used to collect various historical medical data, and the data is processed through NLP and regularization, and the electronic medical record data is structured to achieve rapid traceability management.

[0036] In the present invention, the structured template design of the electronic medical record includes designing structured templates according to the characteristics and requirements of medical data. These templates should contain clear fields and formats to facilitate rapid data entry and retrieval. It also includes intelligent domains and nested designs: introducing intelligent domains and nested designs in structured templates. For example, past history, personal history, etc. are used as intelligent domains, and more detailed information is nested in them, such as smoking history, family history of malignant tumors, etc. This design can improve the integrity and accuracy of data.

[0037] Furthermore, the present invention realizes traceability mainly by establishing a medical data traceability system through technologies such as blockchain, recording the source of the data, usage time, user information, etc. This can ensure the authenticity and traceability of the data.

[0038] Furthermore, the digital twin database performs correlation analysis on the input data and historical medical data, and eliminates redundant and erroneous data through CRC quick recording technology.

[0039] Furthermore, a medical digital twin database is constructed based on the medical database framework, specifically: obtaining the mapping relationship between the medical database framework and the twin, constructing the data and the identification association relationship of the twin structure based on the mapping relationship, and performing data mapping and identification association matching between the medical database framework and the pre-built twin model to obtain a medical data twin database. Constructing a medical data twin database is a complex and meticulous process that requires full consideration of the characteristics and requirements of medical data, as well as the design and implementation of the twin structure. By constructing reasonable mapping relationships and identification association relationships, the close connection and real-time synchronization between medical data and the twin structure can be achieved, providing strong support for the digital transformation and upgrading of the medical field.

[0040] Furthermore, the medical database is equipped with custom forms, customized follow-up plans, follow-up information push, follow-up calendar, closed-loop follow-up management, patient indicator warning, follow-up path map, questionnaire data export, complete case integration, automatic sorting, data query / statistics / analysis, and intelligent voice conversion functions.

[0041] Furthermore, the present invention also builds a hospital-wide intelligent follow-up system that supports flexible follow-up scenario management functions and supports the creation and configuration of a variety of different follow-up scenarios, such as disease follow-up, scientific research follow-up, health education, satisfaction surveys, etc. Each follow-up scenario has an independent user role permission setting, and only designated users can access it. The contents of different follow-up scenarios are also independent and isolated from each other, and will not affect or interfere with each other.

[0042] and Figure 1 Corresponding to the method shown, the present invention also discloses a clinical research integrated medical database construction system based on multi-source heterogeneous data for Figure 1 The implementation of the method, the specific structure is as follows Figure 2 As shown, including:

[0043] Medical data collection and processing module: used to collect various historical medical data, screen and normalize the historical medical data, determine the relationship between different medical data based on the type of medical data and the source of medical data, classify medical data, and build a medical database framework;

[0044] Digital twin database construction module: Build a medical digital twin database based on the medical database framework, obtain the multi-source heterogeneous data being generated in real time, extract the feature data within the required range of the digital twin database and input it into the digital twin database;

[0045] Medical database update module: used for the digital twin database to perform correlation analysis on input data and historical medical data, eliminate redundant data and erroneous data, and store the output data in the corresponding location according to the mapping relationship between the output data and the medical database framework to obtain the medical database.

[0046] Finally, this embodiment discloses a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods for constructing a clinical and scientific research integrated medical database based on multi-source heterogeneous data are implemented.

[0047] In another embodiment, the method of the present invention further includes constructing an index for the medical database for data search, specifically including the following steps:

[0048] Obtain the storage information of each data in the medical database and build an index sequence based on the data source, data type, application scenario, and data security level;

[0049] Determine the data vector according to the field characteristics of each data and build a vector index.

[0050] Correspondingly, the system of the present invention also includes a medical database index construction module, which is used for data search, obtaining the storage information of each data in the medical database, and constructing an index sequence according to the data source, data type, application scenario and data security level; determining the data vector according to the field characteristics of each data and constructing a vector index.

[0051] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0052] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one 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 invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for constructing a clinical research integrated medical database based on multi-source heterogeneous data, characterized in that: The following steps are involved: Collect various historical medical data, screen and normalize the historical medical data, determine the relationship between different medical data based on the type of medical data and the source of medical data, classify the medical data, and build a medical database framework; Build a medical digital twin database based on the medical database framework, obtain the multi-source heterogeneous data being generated in real time, extract the feature data within the required range of the digital twin database and input it into the digital twin database; The digital twin database performs correlation analysis on the input data and historical medical data, eliminates redundant and erroneous data, and stores the output data in the corresponding location according to the mapping relationship between the output data and the medical database framework to obtain a medical database.

2. According to claim 1, a method for constructing a clinical research integrated medical database based on multi-source heterogeneous data, characterized in that: It also includes building an index for the medical database for data search, which specifically includes the following steps: Obtain the storage information of each data in the medical database, and build an index sequence based on the data source, data type, application scenario, and data security level; Determine the data vector according to the field characteristics of each data and build a vector index.

3. The method for constructing a clinical research integrated medical database based on multi-source heterogeneous data according to claim 1, characterized in that: The MVP method is used to collect various historical medical data, and the data is processed through NLP and regularization. The electronic medical record data is structured to achieve rapid traceability management.

4. The method for constructing a clinical research integrated medical database based on multi-source heterogeneous data according to claim 1, characterized in that: The digital twin database performs correlation analysis on input data and historical medical data, and eliminates redundant and erroneous data through CRC quick recording technology.

5. The method for constructing a clinical research integrated medical database based on multi-source heterogeneous data according to claim 1, characterized in that: A medical digital twin database is constructed according to the medical database framework, specifically: obtaining the mapping relationship between the medical database framework and the twin, constructing the identification association relationship of the data and the twin structure according to the mapping relationship, performing data mapping and identification association matching processing between the medical database framework and the pre-built twin model, and obtaining a medical data twin database.

6. The method for constructing a clinical research integrated medical database based on multi-source heterogeneous data according to claim 1, characterized in that: The medical database is equipped with custom forms, customized follow-up plans, follow-up information push, follow-up calendar, closed-loop follow-up management, patient indicator warning, follow-up path map, questionnaire data export, complete case integration, automatic sorting, data query / statistics / analysis, and intelligent voice conversion functions.

7. A system for building a clinical and scientific research integrated medical database based on multi-source heterogeneous data, characterized in that: include: Medical data collection and processing module: used to collect various historical medical data, screen and normalize the historical medical data, determine the relationship between different medical data based on the type of medical data and the source of medical data, classify medical data, and build a medical database framework; Digital twin database construction module: Build a medical digital twin database based on the medical database framework, obtain the multi-source heterogeneous data being generated in real time, extract the feature data within the required range of the digital twin database and input it into the digital twin database; Medical database update module: used for the digital twin database to perform correlation analysis on input data and historical medical data, eliminate redundant data and erroneous data, and store the output data in the corresponding location according to the mapping relationship between the output data and the medical database framework to obtain the medical database.

8. A clinical research integrated medical database construction system based on multi-source heterogeneous data according to claim 7, characterized in that: It also includes a medical database index construction module, which is used for data search, obtaining the storage information of each data in the medical database, and building an index sequence based on the data source, data type, application scenario and data security level; determining the data vector based on the field characteristics of each data and building a vector index.

9. A computer storage medium, characterized in that The computer storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for constructing a clinical and scientific research integrated medical database based on multi-source heterogeneous data as described in any one of claims 1 to 6.

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