Clinical data management platform

Abstract

The invention discloses a clinical data management platform, which comprises a recording unit, a database unit, an encryption unit, a transmission unit, a search unit, a verification unit, a management unit and a tracing unit, and is characterized in that the management platform is connected with a plurality of users and data managers, and the output end of the recording unit is in communication connection with the input end of the database unit; the output end of the encryption unit is in communication connection with the input end of the database unit, the output end of the database unit is in communication connection with the input end of the transmission unit, the output end of the search unit is in communication connection with the input end of the database unit, and the input end of the verification unit is in communication connection with the output end of a user; the management platform designed by the invention is well organized and rigorous in data management, realizes integration of clinical data, can encrypt the data, ensures the security and reliability of the data, reduces the probability of data loss, and provides an accurate basis for subsequent clinical treatment.

Description

Technical Field

[0001] The present invention relates to the technical field of clinical data management, and in particular to a clinical data management platform. Background Art

[0002] With the booming development of the big data industry around the world, data resources have become an important resource. In the past decade, my country's clinical informatization has developed rapidly, and the hospital's medical big data resources with electronic medical records as the core have basically been formed. The need to use my country's rich clinical data resources to promote clinical and biomedical technological innovation and industrial development is becoming increasingly urgent. The high-precision and high-quality collection of clinical data has become a rigid need for hospital development, and clinical data management platforms have come into being.

[0003] For example, a clinical data management platform with an authorization announcement number of CN202311249681.0 and an authorization announcement date of 20231219 includes: a data acquisition module for collecting patient clinical data, a data processing module for analyzing and processing the collected patient clinical data, a data storage module for storing the patient clinical data collected by the acquisition module and the data processed by the data processing module, a data interaction module for data interaction with other medical devices or systems, a user rights management module for managing user access rights to clinical data, and a data display module for displaying processed and analyzed data to users in a visual form. The data acquisition module of the present invention collects patient clinical data from multiple sources, the data processing module automatically organizes, preprocesses and analyzes the collected data, and the data storage module uses high-performance databases and cloud storage technologies to store data and ensure its security and reliability.

[0004] The traditional clinical data management platform has a simple structure and is relatively simple to manage data. It cannot guarantee the security and reliability of data, which can easily lead to data loss and a lack of basis for clinical treatment. Therefore, it is urgent to design a clinical data management platform to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a clinical data management platform to solve the above-mentioned deficiencies in the prior art.

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

[0007] A clinical data management platform comprises a collection unit, a database unit, an encryption unit, a transmission unit, a search unit, a verification unit, a management unit and a tracing unit. The management platform is connected with a plurality of users and data managers. The output end of the collection unit is in communication connection with the input end of the database unit, the output end of the encryption unit is in communication connection with the input end of the database unit, the output end of the database unit is in communication connection with the input end of the transmission unit, the output end of the search unit is in communication connection with the input end of the database unit, the input end of the verification unit is in communication connection with the output end of the user, the output end of the data manager is in communication connection with the input end of the management unit, the input end of the management unit is in communication connection with the output ends of the collection unit, the database unit, the encryption unit, the transmission unit, the search unit, the verification unit and the tracing unit, and the output end of the tracing unit is in communication connection with the input end of the transmission unit;

[0008] The collecting unit is used to collect clinical data and perform judgment and conversion on the clinical data;

[0009] The database unit is used to store the data collected by the collecting unit;

[0010] The encryption unit is used to perform proxy re-encryption on the data stored in the storage unit;

[0011] The transmission unit is used to transmit the data stored in the storage unit to the user end;

[0012] The search unit is used to retrieve and traverse the data inside the storage unit;

[0013] The verification unit is used to send verification information to the user end;

[0014] The management unit will control the operation of the collection unit, database unit, encryption unit, transmission unit, search unit, verification unit, and tracing unit under the setting of the data manager;

[0015] The tracing unit is used to track the flow of storage unit data transmitted by the transmission unit.

[0016] Furthermore, the collection unit includes a judgment module, a conversion module and an access module. The access module is a platform data interface. The access module is connected to the electronic medical record interface, the imaging system interface, the laboratory information system interface, the emergency bed interface, and the bed surgery data interface. The judgment module judges the data accessed by the access module through data verification.

[0017] Furthermore, the conversion module adopts an intelligent medical record generation tool, and the conversion module is used to convert the data judged by the judgment module into a medical record format.

[0018] Furthermore, the database unit includes a resource area module, a compression module and a processing module. The resource area module can automatically partition the clinical data according to the patient's personal information and classify and store the clinical data.

[0019] Furthermore, the compression module compresses the data using a lossless compression algorithm, and the compression module determines the compression of the data using a data size comparison formula, and the data size comparison formula is as follows:

[0020] ,

[0021] Among them, S is the percentage of the data size comparison formula. If S≤1, the compression module does not compress the corresponding data. If S>1, the compression module will compress the corresponding data. N is the memory size of the corresponding data.

[0022] Furthermore, the processing module selects a data cleaning tool, and the processing module is used to regularly clean up the data in the resource pool module once a year.

[0023] Furthermore, the encryption module includes a key module, a cleaning module and a firewall module. The key module encrypts the data in the database unit through the IBPRE proxy re-encryption scheme. The firewall module can build a firewall in the database unit. The cleaning module is a 360 virus cleaning tool for cleaning virus data in the database unit.

[0024] Furthermore, the search unit includes an engine module and a calling module. The engine module is composed of a keyword search engine and a traversal search engine. The engine module is used to extract and filter the data inside the database unit. The calling module calls the data input transmission unit in the database unit according to the information searched by the engine module.

[0025] Furthermore, the verification unit includes a feedback module and a receiving module. The receiving module is used to receive request information submitted by the user end, and the feedback module sends verification information to the user end according to data received by the receiving module.

[0026] Furthermore, the tracing unit tracks and monitors the flow of data transmitted by the transmission unit through data tracking technology, and the management unit includes two categories: general management programs and exception management programs, which are used to ensure the normal operation and efficient management of the platform.

[0027] In the above technical solution, the present invention provides a clinical data management platform, which has the following beneficial effects:

[0028] (1) The management platform designed by the present invention is well-organized and rigorous in data management, which enables the integration of clinical data and can also encrypt data, thereby ensuring the security and reliability of data, reducing the probability of data loss, and providing an accurate basis for subsequent clinical treatment.

[0029] (2) The database unit designed in the present invention can not only store clinical data by personal information classification, but also judge the data size, so as to compress large memory data, reduce the memory size of clinical data, save the storage space of the platform, and greatly improve the convenience and speed of data transmission.

[0030] (3) The verification unit and tracing unit designed in the present invention can send verification information to the user end to determine whether it is the user himself who operates the user end. When the transmission unit transmits data to the user end, the tracing unit will track the flow of data. The cooperation of the two can ensure the security of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0032] Figure 1 A schematic diagram of the management platform structure provided for a clinical data management platform embodiment of the present invention.

[0033] Figure 2 A schematic diagram of the structure of a collection unit provided in an embodiment of a clinical data management platform of the present invention.

[0034] Figure 3 A schematic diagram of the database unit structure provided for an embodiment of a clinical data management platform of the present invention.

[0035] Figure 4 A schematic diagram of the search unit structure provided for an embodiment of a clinical data management platform of the present invention.

[0036] Figure 5 A schematic diagram of the encryption unit structure provided for an embodiment of a clinical data management platform of the present invention.

[0037] Figure 6 A schematic diagram of the verification unit structure provided for an embodiment of a clinical data management platform of the present invention. DETAILED DESCRIPTION

[0038] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0039] like Figure 1-6 As shown, a clinical data management platform provided by an embodiment of the present invention includes a collection unit, a database unit, an encryption unit, a transmission unit, a search unit, a verification unit, a management unit, and a tracing unit. The management platform is connected with multiple users and data managers. The output end of the collection unit is communicatively connected to the input end of the database unit, the output end of the encryption unit is communicatively connected to the input end of the database unit, the output end of the database unit is communicatively connected to the input end of the transmission unit, the output end of the search unit is communicatively connected to the input end of the database unit, the input end of the verification unit is communicatively connected to the output end of the user, the output end of the data manager is communicatively connected to the input end of the management unit, the input end of the management unit is communicatively connected to the output ends of the collection unit, the database unit, the encryption unit, the transmission unit, the search unit, the verification unit, and the tracing unit, and the output end of the tracing unit is communicatively connected to the input end of the transmission unit;

[0040] The collection unit is used to collect clinical data and make judgments and conversions on the clinical data;

[0041] The database unit is used to store the data collected by the collection unit;

[0042] The encryption unit is used to perform proxy re-encryption on the data stored in the storage unit;

[0043] The transmission unit is used to transmit the data stored in the storage unit to the user end;

[0044] The search unit is used to retrieve the data inside the storage unit;

[0045] The verification unit is used to send verification information to the user end;

[0046] The management unit will control the operation of the collection unit, database unit, encryption unit, transmission unit, search unit, verification unit, and tracing unit under the settings of the data manager;

[0047] The tracing unit is used to track the flow of storage unit data transmitted by the transmission unit.

[0048] The present invention provides a clinical data management platform, which is well-organized and has strict data management, realizes the integration of clinical data, and can also encrypt data, thereby ensuring the security and reliability of data, reducing the probability of data loss, and providing an accurate basis for subsequent clinical treatment.

[0049] In another embodiment provided by the present invention, the collection unit includes a judgment module, a conversion module and an access module. The access module is a platform data interface. The access module is connected to the electronic medical record interface, the imaging system interface, the laboratory information system interface, the emergency bed interface, and the bed surgery data interface. The judgment module judges the data accessed by the access module through data verification.

[0050] In another embodiment provided by the present invention, the conversion module adopts an intelligent medical record generation tool, and the conversion module is used to convert the data judged by the judgment module into a medical record format.

[0051] It should be noted that the intelligent medical record generation tool is the medical record module of the integrated system outpatient doctor station or inpatient doctor station, and users can quickly generate intelligent medical record information.

[0052] In another embodiment provided by the present invention, the database unit includes a resource area module, a compression module and a processing module. The resource area module can automatically partition the clinical data by patient personal information and classify and store the clinical data. The compression module compresses the data using a lossless compression algorithm. The compression module judges and compresses the data using a data size comparison formula. The data size comparison formula is as follows:

[0053] ,

[0054] Wherein, S is the percentage of the data size comparison formula. If S≤1, the compression module does not compress the corresponding data. If S>1, the compression module will compress the corresponding data. N is the memory size of the corresponding data. The processing module uses a data cleaning tool. The processing module is used to regularly clean up the data in the resource pool module once a year.

[0055] It should be noted that lossless compression algorithm refers to the compression and decompression of data by encoding and reconstructing the data without causing any data loss. Common lossless compression algorithms include: - Huffman coding: According to the frequency of each character in the data, a unique code is assigned to each character, and characters with high frequency are represented by shorter codes, thereby achieving data compression.

[0056] -LZW algorithm: Encode the consecutive character sequences according to the dictionary in the data,

[0057] This achieves data compression.

[0058] The data cleaning tools are as follows:

[0059] 1. OpenRefine

[0060] Topping the list is OpenRefine, a very popular open source data utility. The data cleaning tool helps your organization, business convert data between different formats while maintaining its structure. By allowing you to convert data, you can easily work with large data sets to match, clean, and explore data. It also enables you to parse data from the internet and work with the data directly on your computer.

[0061] 2. Trifacta Wrangler

[0062] TrifactaWrangler is another top data cleaning tool on the market. This interactive and transformation tool enables data analysts to clean and prepare data very quickly compared to other tools. Since it focuses on data analysis, less time is required for formatting. TrifactaWrangler also relies on machine learning (ML) algorithms to recommend common data transformations and aggregations.

[0063] 3. WinPure

[0064] WinPure is one of the more cost-effective data cleaning tools and one of the best choices. It cleans up large data sets by correcting, standardizing, and removing duplicates. WinPure can be used for more than just cleaning databases. You can use it on CRMs, spreadsheets, and various other sources. Specific databases that can be cleaned using WinPure include SQLServer, Access, Dbase, and Txt files. One of the main advantages of this tool is that it is installed locally, so it is highly secure.

[0065] 4. Drake

[0066] Drake is one of the simple data cleaning tools. It is an extensible, text-based data workflow with data processing steps. It can automatically resolve dependencies and calculate the commands to be executed and the necessary execution order. Drake is designed for data workflow and management. It can organize command execution around data and its dependencies.

[0067] 5.TIBCO Larity

[0068] TIBCOClarity is a data cleaning tool that is available as an on-demand software service over the web. It enables you to validate your data while cleaning it to identify trends that lead to better decision-making processes. TIBOClarity can standardize raw data collected from different sources, resulting in high-quality data that can be used for accurate analysis

[0069] 6. MelissaCleanSuite

[0070] Another top data cleansing tool in the market is Melissa Clean Suite, which is a data cleansing solution focused on improving data quality in CRM and ERP platforms such as Oracle CRM, Salesforce, Oracle ERP, and Microsoft Dynamics CRM. It offers a wide range of features such as deduplication, data validation, contact auto-completion, data enrichment, and real-time and batch processing.

[0071] 7. DataLadder

[0072] DataLadder is a platform that offers various products, such as DataMatch, which is a cleansing and data quality tool. It also offers DataMatchEnterprise, which includes advanced fuzzy matching algorithms that can handle up to 100 million records. DataMatchEnterprise is also one of the fastest products on the market, while also offering one of the highest matching accuracy.

[0073] 8. IBM Infosphere Quality Stage

[0074] IBM Infosphere Quality Stage comes from one of the most well-known companies in the industry and is designed to support data quality. It is one of the most popular data cleansing tools available to support complete data quality. It can easily clean and manage databases while also helping to build a consistent view of the company's most important units such as customers, suppliers, products, and locations. This data cleansing tool is particularly useful for big data, business intelligence, master data management, and data warehousing.

[0075] 9. Cloudingo

[0076] The Cloudingo tool automatically keeps your Salesforce data clean and easy to manage. It is a simple tool that also allows you to delete obsolete entries, automate on a schedule, and update records in bulk. Cloudingo can be used by companies of all sizes.

[0077] 10. Quadient

[0078] QuadientDataCleaner is a powerful data analysis engine. It analyzes data quality to improve the decision-making process of enterprises. The tool can rely on fuzzy logic to detect duplications and build a single version, and can also discover patterns, missing values, character sets, and many other attributes in data sets.

[0079] In another embodiment provided by the present invention, the encryption module includes a key module, a cleaning module and a protective wall module. The key module encrypts the data in the database unit through the IBPRE proxy re-encryption scheme. The protective wall module can build a firewall in the database unit. The cleaning module is a 360 virus cleaning tool for cleaning virus data in the database unit.

[0080] It should be noted that the IBPRE scheme consists of the following six algorithms:

[0081] 1. System initialization setup(h): Given the system security parameters input, generate system public parameters params and system master key msk.

[0082] 2. Key generation KeyGen (params, msk, id): input system public parameters parc

[0083] ums, system master key msk, and user identity id are used to generate the decryption key sk corresponding to the user identity.

[0084] 3. Encryption Encrypt(params, id, m): Input system public parameters params, user identity id and plaintext message m, and output the encrypted ciphertext Ca corresponding to identity id and m.

[0085] 4. Re-encryption key generation ReKeyGen(params, ska, id, id): Input system public parameters params, user 1's private key skig, identity id, and user 2's identity id2, and output proxy re-encryption key rk.

[0086] 5. Re-encryption ReEncrypt(params, rk; a-siu, cia): Input the system public parameter params, the encrypted ciphertext Ci corresponding to the user with identity id, and the re-encryption key rk:ai, and output the re-encrypted ciphertext ca.

[0087] 6. Decryption Decrypt(params, ska, Ca): Input system public parameters params, user private key sk; a, ciphertext Ca, and output plaintext message m.

[0088] In another embodiment provided by the present invention, the search unit includes an engine module and a calling module. The engine module is composed of a keyword search engine and a traversal search engine. The engine module is used to extract and filter the data inside the database unit. The calling module calls the data input transmission unit in the database unit according to the information searched by the engine module.

[0089] In another embodiment provided by the present invention, the verification unit includes a feedback module and a receiving module, the receiving module is used to receive request information submitted by the user end, and the feedback module sends verification information to the user end according to the data received by the receiving module.

[0090] In another embodiment provided by the present invention, the tracing unit tracks and monitors the flow of data transmitted by the transmission unit through data tracking technology, and the management unit includes two categories: general management programs and exception management programs, which are used to ensure the normal operation and efficient management of the platform.

[0091] Working principle: When the management platform is in operation, the collection unit can collect clinical data. The access module of the process will access the data transmitted from the electronic medical record interface, imaging system interface, laboratory information system interface, emergency bed interface, and bed surgery data interface. Then the judgment module will make an integrity judgment on the data accessed by the access module through data verification. The subsequent conversion module will convert the data judged by the judgment module into the medical record format and store it in the database unit. Then the resource area module will automatically partition the clinical data according to the patient's personal information to realize classified storage. When storing, the compression module will judge the memory size of the data. When it is judged to be large memory data, the compression module will compress the data through a lossless compression algorithm, and then the compressed data will be stored in the resource area module. When it is judged not to be large memory data, the data will be directly stored in the resource area module. When storing, the processing module will perform data in the resource pool module every year. The data is cleaned up regularly, and when the data is stored in the database unit, the secret key module will encrypt the data in the database unit through the IBPRE proxy re-encryption scheme, and the protective wall module can build a firewall in the database unit to protect the database unit, and the cleaning module will be started regularly to scan and clean the virus data in the database unit regularly. When the user terminal calls the data subsequently, the receiving module will receive the request information submitted by the user terminal, and then the feedback module will send verification information to the corresponding user terminal based on the data received by the receiving module. When the subsequent verification is correct, the engine module will extract and filter the data inside the database unit, and then the calling module will call the data in the database unit according to the information searched by the engine module and input it into the transmission unit. The transmission unit will send the data to the user terminal. The process tracing unit tracks and monitors the flow of data transmitted by the transmission unit through data tracking technology to determine whether the data flow is normal.

[0092] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A clinical data management platform, comprising a collection unit, a database unit, an encryption unit, a transmission unit, a search unit, a verification unit, a management unit, and a tracing unit, characterized in that: The management platform is connected with a plurality of users and data managers, the output end of the collection unit is in communication connection with the input end of the database unit, the output end of the encryption unit is in communication connection with the input end of the database unit, the output end of the database unit is in communication connection with the input end of the transmission unit, the output end of the search unit is in communication connection with the input end of the database unit, the input end of the verification unit is in communication connection with the output end of the user, the output end of the data manager is in communication connection with the input end of the management unit, the input end of the management unit is in communication connection with the output ends of the collection unit, the database unit, the encryption unit, the transmission unit, the search unit, the verification unit, and the tracing unit, and the output end of the tracing unit is in communication connection with the input end of the transmission unit; The collecting unit is used to collect clinical data and perform judgment and conversion on the clinical data; The database unit is used to store the data collected by the collecting unit; The encryption unit is used to perform proxy re-encryption on the data stored in the storage unit; The transmission unit is used to transmit the data stored in the storage unit to the user end; The search unit is used to retrieve and traverse the data inside the storage unit; The verification unit is used to send verification information to the user end; The management unit will control the operation of the collection unit, database unit, encryption unit, transmission unit, search unit, verification unit, and tracing unit under the setting of the data manager; The tracing unit is used to track the flow of storage unit data transmitted by the transmission unit.

2. A clinical data management platform according to claim 1, characterized in that: The collection unit includes a judgment module, a conversion module and an access module. The access module is a platform data interface. The access module is connected to the electronic medical record interface, the imaging system interface, the laboratory information system interface, the emergency bed interface, and the bed surgery data interface. The judgment module judges the data accessed by the access module through data verification.

3. A clinical data management platform according to claim 2, characterized in that: The conversion module adopts an intelligent medical record generation tool, and the conversion module is used to convert the data judged by the judgment module into a medical record format.

4. A clinical data management platform according to claim 1, characterized in that: The database unit includes a resource area module, a compression module and a processing module. The resource area module can automatically partition the clinical data according to the patient's personal information and classify and store the clinical data.

5. A clinical data management platform according to claim 4, characterized in that: The compression module compresses the data using a lossless compression algorithm. The compression module determines the compression of the data using a data size comparison formula. The data size comparison formula is as follows: ， Among them, S is the percentage of the data size comparison formula. If S≤1, the compression module does not compress the corresponding data. If S>1, the compression module will compress the corresponding data. N is the memory size of the corresponding data.

6. A clinical data management platform according to claim 4, characterized in that: The processing module uses a data cleaning tool, and the processing module is used to regularly clean up the data in the resource pool module once a year.

7. A clinical data management platform according to claim 1, characterized in that: The encryption module includes a key module, a cleaning module and a protective wall module. The key module encrypts the data in the database unit through the IBPRE proxy re-encryption scheme. The protective wall module can build a firewall in the database unit. The cleaning module is a 360 virus cleaning tool, which is used to clean the virus data in the database unit.

8. A clinical data management platform according to claim 1, characterized in that: The search unit includes an engine module and a calling module. The engine module is composed of a keyword search engine and a traversal search engine. The engine module is used to extract and filter the data inside the database unit. The calling module calls the data input transmission unit in the database unit according to the information searched by the engine module.

9. A clinical data management platform according to claim 1, characterized in that: The verification unit includes a feedback module and a receiving module. The receiving module is used to receive request information submitted by the user end, and the feedback module sends verification information to the user end according to the data received by the receiving module.

10. A clinical data management platform according to claim 1, characterized in that: The tracing unit tracks and monitors the flow of data transmitted by the transmission unit through data tracking technology. The management unit includes two categories: general management programs and exception management programs, which are used to ensure the normal operation and efficient management of the platform.

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