Construction method and system of medical health data resource directory
By constructing a standardized data resource catalog of 31 categories covering the entire diagnosis and treatment process, the problem of fragmented data resources and inconsistent standards in the medical and health field has been solved. This has enabled efficient cross-system integration and secure sharing of medical data, provided a high-quality data foundation, and facilitated the intelligent upgrading of medical services.
Patent Information
- Application Number
- CN202511048565.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-29
- Publication Date
- 2025-11-18
AI Technical Summary
The fragmentation of data resources and the lack of standardized data in the healthcare sector have led to data silos and low sharing efficiency, which in turn affects the efficiency of government processing.
A standardized data resource catalog covering 31 categories covering the entire diagnosis and treatment process is constructed. Multi-source medical data is collected through integration or exchange tools and aggregated to the government data sharing platform to achieve centralized management and secure sharing of data. Logical view mapping and a secure sandbox mechanism are used for data mounting.
It enables efficient cross-system integration and standardized sharing of medical data, provides a high-quality data foundation, helps upgrade medical services intelligently, and solves the problem of data silos.
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Figure CN120977460A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of medical data management, in particular to a medical health data resource directory construction method and system. BACKGROUND
[0002] Data sharing is an important support for improving the efficiency of government service and optimizing the governance mode. In the field of government processing, data of different departments is often scattered in their own information systems, and the data format and management standards are not unified, forming independent information islands, which leads to obstacles in cross-department business cooperation. When the service object handles related transactions, they need to submit the same information multiple times, which affects the overall efficiency of government processing.
[0003] To regulate the circulation and utilization of government data, relevant regulations have been formally implemented in 2025. The regulations explicitly define the basic rules of government data sharing for the first time, providing institutional guarantees for the standardized sharing of government data and promoting the institutionalization and standardization of government data sharing. Among them, the data resource management in the medical and health field is an important part of the government data sharing system, and the construction of its data resource directory is the basic link to realize the effective sharing of data in this field, which is of great significance to improve the efficiency of medical and health government services. SUMMARY
[0004] The present application provides a medical health data resource directory construction method and system to solve the problem of data island and low sharing efficiency caused by scattered data resources and non-uniform standards in the medical and health field. It realizes the structured integration of data in the whole process of diagnosis and treatment, and forms a unified resource pool for medical data scattered in HIS, LIS and other heterogeneous systems, providing a high-quality data foundation for government data sharing.
[0005] In the first aspect, the present application provides a medical health data resource directory construction method to solve the above technical problems by adopting the following technical solutions:
[0006] A medical health data resource directory construction method includes the following steps:
[0007] S1, 31 types of standardized data resource directories covering the whole process of diagnosis and treatment are constructed, and the information items and data standards under each directory are defined to provide a basis for heterogeneous system data mapping;
[0008] S2, according to the information items and data standards of each directory in the 31 types of standardized data resource directories, multi-source medical data is collected through integration or exchange tools, and is converged to a government data sharing platform to realize centralized management of scattered data;
[0009] S3. Registering 31 types of standardized data resource catalog in the government data sharing platform, defining metadata and information item details, and completing the standardized registration of the catalog;
[0010] S4. Based on the metadata of the registered catalog, different data mounting channels are adopted according to the sharing type to realize the safe sharing of data in the government data sharing platform.
[0011] Optionally, in step S1, the 31 types of standardized data resource catalog constructed specifically include: patient information table, business volume and income statistics table, operation record table, diagnosis detail table, registration table, outpatient visit record table, outpatient prescription detail table, outpatient charge detail table, diagnosis and treatment charge table, admission registration table, discharge registration table, inpatient visit record table, inpatient medical order detail table, inpatient charge detail table, inpatient settlement table, inpatient medical record home page main table, operation detail table, discharge summary table, laboratory test report table header, test result index table, bacterial result, drug sensitivity result, medical imaging examination report table, physical examination report home page, physical examination grouping report, physical examination item detail table, department dictionary table, medical staff dictionary table, detailed item comparison dictionary table, specimen dictionary table, and examination type dictionary table.
[0012] For each type of catalog, information items are defined one by one, and a unified data standard is developed;
[0013] At the same time, a mapping relationship between the information items and the corresponding fields in the hospital information system (HIS), clinical information system (CIS), and laboratory information system (LIS) is established to ensure that the data of different information systems can be aligned according to the standard, laying a foundation for subsequent data collection and aggregation.
[0014] Further optionally, the step S2 specifically includes:
[0015] Based on the information items and data standards of each type of catalog in the 31 types of standardized data resource catalog, an appropriate integration tool or exchange tool is selected for the hospital information system (HIS), clinical information system (CIS), and laboratory information system (LIS);
[0016] The selected integration tool or exchange tool cleans, converts, and loads the multi-source data according to the standard, collecting structured data, semi-structured data, and unstructured data scattered in the hospital information system (HIS), clinical information system (CIS), and laboratory information system (LIS);
[0017] The collected data is aggregated to the storage layer of the government data sharing platform through an encrypted transmission channel to form a centralized medical data resource pool, and the aggregation process strictly follows the defined data standards to ensure that the data entering the government data sharing platform is consistent with the catalog information items.
[0018] Further optionally, the step S3 specifically includes:
[0019] In the catalog management module of the government data sharing platform, register 31 types of standardized data resource catalogs one by one. When registering, first fill in the catalog metadata: specify the information resource provider and its code, write the information resource summary, and specify the sharing method, update cycle, information resource format and usage requirements.
[0020] For the information items included in the catalog, in addition to the name, the data type and length are determined based on the actual data characteristics. At the same time, in accordance with the regulations of the health unit, the sharing type, open status and data sensitivity of the information items are marked. The sharing type is divided into unconditional sharing, conditional sharing and no sharing, which provides a basis for the selection of subsequent data mounting channels.
[0021] Further optionally, step S4 specifically includes:
[0022] Based on the registered directory metadata, configure corresponding data mounting channels for 31 types of standardized data resource directories:
[0023] For directories with a sharing type of "unconditional sharing", the data in the data source is directly mounted to the government data sharing platform in the form of a virtual view through the logical view mapping technology of the government data sharing platform, so that the original data can be linked in real time when users query, thus avoiding data redundancy;
[0024] For sensitive data directories with the sharing type of "conditional sharing" and "not shared", an encrypted data copy is created in the isolation area of the government data sharing platform through a security sandbox mechanism. After the copy is mounted, it is only open to authorized users, and the de-identification process is automatically triggered when accessing it.
[0025] For directories with a sharing type of "conditional sharing", the logical view mapping unit and the security sandbox unit are selectively invoked according to the specific sharing attributes of the information items in the directory to achieve differentiated mounting of different information items in the same directory.
[0026] Secondly, the present invention provides a system for constructing a medical and health data resource catalog, and the technical solution adopted to solve the above-mentioned technical problems is as follows:
[0027] A system for constructing a medical and health data resource catalog, comprising:
[0028] The catalog building and definition module is used to build 31 standardized data resource catalogs covering the entire diagnosis and treatment process, define the information items and data standards under each catalog, and provide a basis for data mapping of heterogeneous systems.
[0029] An isomerous data aggregation module is configured to collect multi-source medical data based on information items and data standards of each type of the 31 types of standardized data resource directories, and aggregate the data to the government data sharing platform to realize centralized management of scattered data.
[0030] A directory standardization module is configured to register the 31 types of standardized data resource directories on the government data sharing platform, define metadata and information item details, and complete the standardized registration of the directories.
[0031] A data mounting module is configured to mount data on the government data sharing platform based on metadata of the registered directories and different data mounting channels according to sharing types.
[0032] Optionally, the 31 types of standardized data resource directories constructed by the directory construction and definition module include a patient information table, a business volume and income statistics table, a surgery record table, a diagnosis details table, a registration table, an outpatient visit record table, an outpatient prescription details table, an outpatient charge details table, a diagnosis and treatment charge table, an admission registration table, a discharge registration table, an inpatient visit record table, an inpatient medical order details table, an inpatient charge details table, an inpatient settlement table, an inpatient medical record home page main table, a surgery details table, an out-of-hospital summary table, a laboratory test report table header, a test result index table, a bacteria result, a drug sensitivity result, a medical image examination report table, a physical examination report home page, a physical examination grouping report, a physical examination item details table, a department dictionary table, a medical staff dictionary table, a detailed item comparison dictionary table, a specimen dictionary table, and an examination type dictionary table.
[0033] The directory construction and definition module defines information items one by one for each type of directory, formulates unified data standards, and establishes a mapping relationship between the information items and corresponding fields in the hospital information system (HIS), the clinical information system (CIS), and the laboratory information system (LIS), to ensure that data of different information systems can be aligned according to the standards, thereby laying a foundation for subsequent data collection and aggregation.
[0034] Further optionally, the isomerous data aggregation module includes:
[0035] A tool selection unit is configured to select an appropriate integration tool or exchange tool for the hospital information system (HIS), the clinical information system (CIS), and the laboratory information system (LIS) based on information items and data standards of each type of the 31 types of standardized data resource directories.
[0036] A tool calling unit is configured to call the selected integration tool or exchange tool, clean, convert, and load multi-source data according to the standards, and collect structured data, semi-structured data, and unstructured data scattered in the hospital information system (HIS), the clinical information system (CIS), and the laboratory information system (LIS).
[0037] A data aggregation unit is configured to aggregate the collected data to a storage layer of the government affair data sharing platform through an encrypted transmission channel, form a centralized medical data resource pool, and strictly follow defined data standards in the aggregation process to ensure that the data and directory information items entering the government affair data sharing platform are consistent.
[0038] Further optionally, the involved directory standardization module specifically includes:
[0039] A directory registration unit is configured to register the 31 types of standardized data resource directories one by one in a directory management module of the government affair data sharing platform, and when registering, first fill in the directory metadata: clearly indicate the information resource provider and its code, write an information resource abstract, specify the sharing mode, update cycle, information resource format and use requirements;
[0040] An information determination unit is configured to determine the type and length of data according to the actual data characteristics for the information items contained in the directory, except for the name;
[0041] An information labeling unit is configured to label the sharing type, open state and data sensitivity of the information items according to the regulations of the health unit, wherein the sharing type is divided into unconditional sharing, conditional sharing and non-sharing, which provides a basis for subsequent data mounting channel selection.
[0042] Further optionally, the involved data mounting module specifically includes:
[0043] A channel configuration unit is configured to configure corresponding data mounting channels for the 31 types of standardized data resource directories based on the registered directory metadata:
[0044] A logical view mapping unit is configured to directly mount the data in the data source to the government affair data sharing platform in the form of a virtual view through the logical view mapping technology of the government affair data sharing platform for the directory with the sharing type of "unconditional sharing", so that the original data can be associated in real time when the user queries, and data redundancy is avoided;
[0045] A secure sandbox unit is configured to create an encrypted data copy in the isolation area of the government affair data sharing platform through a secure sandbox mechanism for sensitive data directories with the sharing type of "conditional sharing" and "non-sharing" directories, and after mounting the copy, only authorized users are opened, and desensitization processing is automatically triggered when accessed;
[0046] A hybrid mounting unit is configured to selectively call the logical view mapping unit and the secure sandbox unit according to the specific sharing attributes of the information items under the directory for the directory with the sharing type of "conditional sharing", to realize the differential mounting of different information items in the same directory.
[0047] Compared with the prior art, the medical health data resource directory construction method and system of the present application has the beneficial effects that:
[0048] 1. This invention integrates medical data that was originally scattered in heterogeneous systems such as HIS and LIS into a unified resource pool through multi-dimensional catalog design and standardized information item definition. It provides a high-quality data foundation for clinical decision-making, hospital management, public health analysis and government collaboration, promotes the release of the value of medical data elements, and helps to upgrade the intelligent medical and health services.
[0049] 2. This invention constructs a standardized data resource catalog of 31 categories covering the entire diagnosis and treatment process, enabling efficient cross-system integration, standardized sharing, and secure and controllable application of medical data resources. This solves the problems of data silos and low sharing efficiency caused by the dispersion of data resources and inconsistent standards in the medical and health field. Attached Figure Description
[0050] Appendix Figure 1 This is a flowchart of the method according to Embodiment 1 of the present invention;
[0051] Appendix Figure 2 This is a module connection block diagram of Embodiment 2 of the present invention. Detailed Implementation
[0052] To make the technical solution, the technical problem solved, and the technical effect of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with specific embodiments.
[0053] Example 1:
[0054] Combined with appendix Figure 1 This embodiment proposes a method for constructing a medical and health data resource catalog, which includes the following steps:
[0055] S1. Construct a standardized data resource catalog of 31 categories covering the entire diagnosis and treatment process, define the information items and data standards under each category, and provide a basis for data mapping of heterogeneous systems.
[0056] Specifically, the 31 categories of standardized data resource catalogs include: patient information tables, business volume and revenue statistics tables, surgical record tables, diagnosis details tables, registration tables, outpatient visit records, outpatient prescription details tables, outpatient charge details tables, medical service charge tables, admission registration tables, discharge registration tables, inpatient visit records, inpatient medical order details tables, inpatient charge details tables, inpatient / discharge settlement tables, inpatient medical record cover sheet, surgical details tables, discharge summary tables, laboratory test report headers, test result index tables, bacterial results, drug sensitivity results, medical imaging examination reports, physical examination report cover sheet, physical examination grouping reports, physical examination item details tables, department dictionary tables, medical staff dictionary tables, detailed item comparison dictionary tables, specimen dictionary tables, and examination type dictionary tables.
[0057] For each type of directory, define information items one by one (such as "outpatient records" containing patient ID, visit time, diagnosis results, etc.), and develop unified data standards (such as JSON for data format, and "YYYY-MM-DD" for date format); At the same time, establish the mapping relationship between information items and corresponding fields in hospital information system HIS, clinical information system CIS and laboratory information system LIS (such as mapping "test item code" in LIS to directory information item "test index ID"), to ensure that data from different information systems can be aligned according to the standard, and lay the foundation for subsequent data collection and aggregation.
[0058] S2, according to the information items and data standards of each type of directory in the 31 standardized data resource directories, collect multi-source medical data through integration or exchange tools, and aggregate to the government data sharing platform, to realize centralized management of scattered data.
[0059] This process specifically includes:
[0060] S2.1, based on the information items and data standards of each type of directory in the 31 standardized data resource directories, select appropriate integration tools (such as ETL tools) or exchange tools (such as HL7 FHIR-based interfaces) for hospital information system HIS, clinical information system CIS and laboratory information system LIS;
[0061] S2.2, the selected integration tools (such as ETL tools) or exchange tools (such as HL7 FHIR-based interfaces) clean (such as correcting format errors), convert (such as unified coding rules) and load the multi-source data according to the standard, and collect structured data (such as database tables), semi-structured data (such as XML reports) and unstructured data (such as medical record scans) scattered in hospital information system HIS, clinical information system CIS and laboratory information system LIS;
[0062] S2.3, the collected data is aggregated to the storage layer of the government data sharing platform through an encrypted transmission channel, forming a centralized medical data resource pool, and the aggregation process strictly follows the defined data standards, ensuring that the data entering the government data sharing platform is consistent with the directory information items.
[0063] S3, register 31 standardized data resource directories in the government data sharing platform, define metadata and information item details (including sharing attributes), and complete the standardized registration of the directory.
[0064] This process specifically includes:
[0065] S3.1, In the directory management module of the government data sharing platform, 31 types of standardized data resource directories are registered one by one. When registering, first fill in the directory metadata: clearly indicate the information resource provider (such as XX Hospital) and its code (such as the medical institution business license number), write an information resource abstract (such as "contains outpatient examination data from 2020 to now"), specify the sharing method (such as online interface call), update cycle (such as daily incremental update), information resource format (such as CSV) and use requirements (such as limited to government department business query);
[0066] S3.2, For the information items contained in the directory, in addition to the name, determine the type (such as "patient age" is an integer type) and length (such as "contact number" is an 11-digit string) of the data according to the actual data characteristics; At the same time, according to the regulations of health units, mark the sharing type (such as "patient name" is conditionally shared), open state (such as "test results" are not open to the public) and data sensitivity (such as "medical record details" are high sensitive) of the information items, among which, the sharing type is divided into unconditional sharing, conditional sharing and not sharing, which provides basis for subsequent data mounting channel selection.
[0067] S4, Based on the metadata of the registered directory, different data mounting channels are used according to the sharing type to realize the safe sharing of data in the government data sharing platform.
[0068] This process specifically includes:
[0069] S4.1, Relying on the registered directory metadata (especially the sharing type and sensitivity information), configure the corresponding data mounting channel for the 31 types of standardized data resource directories:
[0070] S4.2, For the directory with "unconditional sharing" sharing type (such as "medical institution basic information"), through the logical view mapping technology of the government data sharing platform, the data in the data source is directly mounted to the government data sharing platform in the form of virtual view, so that users can query the original data in real time when querying, avoiding data redundancy;
[0071] S4.3, For sensitive data directories with "conditional sharing" sharing type and "not sharing" directories, create encrypted data copies (using AES encryption algorithm) in the isolation area of the government data sharing platform through the security sandbox mechanism. After mounting the copy, only authorized users are opened, and desensitization processing is automatically triggered when accessing (such as displaying "identity card number" as "110********1234");
[0072] For the directory with "conditional sharing" sharing type, according to the specific sharing attributes of the information items under the directory, selectively call the logical view mapping unit and the security sandbox unit to realize the differential mounting of different information items in the same directory.
[0073] S4.4, for the directory with the sharing type of "conditional sharing", according to the specific sharing attribute of the information item under the directory, selectively calling the logical view mapping unit and the security sandbox unit, that is, mounting the non-sensitive information item in the logical view mapping mode, and mounting the high-sensitive information item by calling the security sandbox unit for encryption and desensitization, to realize the differential mounting of different information items in the same directory. Specifically:
[0074] (i) Field hierarchical processing: according to the sharing attribute of the information item in the registered directory metadata (such as "patient basic information" directory, "gender" is unconditionally shared field, "contact phone" is conditionally shared field, and "medical history details" is high-sensitive field), the information items contained in the directory are layered, wherein the non-sensitive and directly shared fields (such as "department of treatment") are directly associated with the query interface of the government data sharing platform in the logical view mapping mode, and the user can obtain the original format data in real time through authorized access without additional desensitization; the sensitive or access range limited fields (such as "medical card number" and "diagnosis details") are included in the security sandbox management.
[0075] (ii) Sensitivity field processing in sandbox: the data with high sensitive field is mounted to the security sandbox in the isolated area of the government data sharing platform in the form of encrypted copy, the copy adopts field-level encryption (such as symmetric encryption algorithm), and the sandbox has preset desensitization rules (such as "medical card number" retains the first 6 digits and the last 4 digits, and the middle is replaced with "*"; "diagnosis details" automatically blurs the disease description involving privacy). When the user applies for access to the conditionally shared directory, the platform first verifies the authorized range (such as only allowing specific government departments to query), and after passing, the non-sensitive fields are directly returned through the logical view, and the sensitive fields are desensitized by the sandbox to generate temporary access results, avoiding the leakage of original data.
[0076] (iii) Dynamic permission adaptation: the mounting channel of the conditionally shared directory supports dynamic adjustment of permissions. If the defined sharing rules (such as "update period" and "use requirements") change (such as a field from "conditional sharing" to "unconditional sharing"), the government data sharing platform automatically switches the mounting mode of the field (from sandbox desensitization to logical view mapping), without the need to re-collect data.
[0077] Through this mixed mode of step S4.3, the conditionally shared directory not only continues the efficiency of "logical mapping" of the unconditionally shared directory (reducing data redundancy), but also learns from the security of "sandbox desensitization" of high-sensitive data (controlling access risk), strictly matching the definition of "sharing type" and "data sensitivity" of the information item in the third paragraph, and finally realizing flexible sharing of data under the compliance premise, filling the limitations of single mounting mode.
[0078] Example two:
[0079] In combination with the accompanying Figure 2 The embodiment proposes a medical health data resource directory construction system, which comprises:
[0080] A directory construction and definition module is configured to construct 31 types of standardized data resource directories covering the whole process of diagnosis and treatment, define information items and data standards under each type of directory, and provide a basis for data mapping of heterogeneous systems;
[0081] A heterogeneous data aggregation module is configured to collect multi-source medical data through integration or exchange tools according to the information items and data standards of each type of directory in the 31 types of standardized data resource directories, and aggregate the data to a government data sharing platform to realize centralized management of scattered data;
[0082] A directory standardization module is configured to register the 31 types of standardized data resource directories on the government data sharing platform, define metadata and information item details (including sharing attributes), and complete the standardized registration of the directories;
[0083] A data mounting module is configured to mount data on the government data sharing platform based on the metadata of the registered directories and according to different data mounting channels according to the sharing types.
[0084] In the embodiment, the 31 types of standardized data resource directories constructed by the directory construction and definition module comprise: a patient information table, a business volume and income statistics table, a surgery record table, a diagnosis details table, a registration table, an outpatient visit record table, an outpatient prescription details table, an outpatient charge details table, a diagnosis and treatment charge table, an admission registration table, a discharge registration table, an inpatient visit record table, an inpatient medical order details table, an inpatient charge details table, an inpatient settlement table, an inpatient medical record homepage main table, a surgery details table, an discharge summary table, a laboratory test report table header, a test result index table, a bacteria result, a drug sensitivity result, a medical imaging examination report table, a physical examination report homepage, a physical examination grouping report, a physical examination item details table, a department dictionary table, a medical staff dictionary table, a detailed item comparison dictionary table, a specimen dictionary table, and an examination type dictionary table.
[0085] The directory construction and definition module defines information items (such as "outpatient record" including patient ID, visit time, diagnosis result, etc.) one by one for each type of directory, formulates unified data standards (such as data format using JSON and date format using "YYYY-MM-DD"), and establishes a mapping relationship between the information items and corresponding fields in the hospital information system (HIS), clinical information system (CIS), and laboratory information system (LIS), to ensure that the data of different information systems can be aligned according to the standards, thereby laying a foundation for subsequent data collection and aggregation.
[0086] In the embodiment, the heterogeneous data aggregation module comprises:
[0087] A tool selection unit is configured to select an integrated tool (such as an ETL tool) or an exchange tool (such as an interface based on HL7 FHIR) for a hospital information system (HIS), a clinical information system (CIS), and a laboratory information system (LIS) based on information items and data standards in each of the 31 types of standardized data resource directories.
[0088] A tool calling unit is configured to call the selected integrated tool (such as an ETL tool) or exchange tool (such as an interface based on HL7 FHIR) to clean (such as correcting format errors), convert (such as unifying coding rules), and load the multi-source data according to the standards, and collect structured data (such as database tables), semi-structured data (such as XML reports), and unstructured data (such as medical record scans) dispersed in the hospital information system (HIS), the clinical information system (CIS), and the laboratory information system (LIS).
[0089] A data aggregation unit is configured to aggregate the collected data to the storage layer of the government data sharing platform through an encrypted transmission channel to form a centralized medical data resource pool, and the aggregation process strictly follows the defined data standards to ensure that the data and directory information items entering the government data sharing platform are consistent.
[0090] In this embodiment, the directory standardization module specifically includes:
[0091] A directory registration unit is configured to register the 31 types of standardized data resource directories one by one in the directory management module of the government data sharing platform. When registering, first fill in the directory metadata: specify the information resource provider (such as XXX Hospital) and its code (such as the medical institution business license number), write an information resource abstract (such as "contains outpatient test data from 2020 to now"), specify the sharing method (such as online interface calling), the update cycle (such as daily incremental update), the information resource format (such as CSV), and the use requirements (such as only for government department business query);
[0092] An information determination unit is configured to determine the data type (such as "patient age" is an integer type) and length (such as "contact number" is an 11-digit string) of the information items contained in the directory according to the actual data characteristics, except for the name.
[0093] An information labeling unit is configured to label the sharing type (such as "patient name" is conditionally shared), the opening state (such as "test results" are not open to the public), and the data sensitivity (such as "medical record details" are highly sensitive) of the information items according to the regulations of the health unit, wherein the sharing type is divided into unconditional sharing, conditional sharing, and non-sharing, which provides a basis for subsequent data mounting channel selection.
[0094] In this embodiment, the data mounting module specifically includes:
[0095] A channel configuration unit is configured to configure corresponding data mounting channels for 31 types of standardized data resource directories based on registered directory metadata, especially sharing types and sensitivity information.
[0096] A logical view mapping unit is configured to, for a directory with a sharing type of 'unconditional sharing' (such as'medical institution basic information'), directly mount data in the data source in the form of a virtual view to the government data sharing platform through the logical view mapping technology of the government data sharing platform, so as to associate the original data in real time when a user queries, and avoid data redundancy.
[0097] A security sandbox unit is configured to, for a sensitive data directory with a sharing type of 'conditional sharing' and a 'not to be shared' directory, create an encrypted data copy (using the AES encryption algorithm) in the isolation area of the government data sharing platform through the security sandbox mechanism, and after the copy is mounted, only authorized users are opened, and desensitization processing is automatically triggered when accessed (such as displaying 'identity card number' as '110********1234').
[0098] A hybrid mounting unit is configured to, for a directory with a sharing type of 'conditional sharing', selectively call the logical view mapping unit and the security sandbox unit according to the specific sharing attributes of the information items under the directory, that is, for non-sensitive information items, the logical view mapping method is used for mounting, and for high-sensitive information items, the security sandbox unit is called for encrypted desensitization mounting, realizing differentiated mounting of different information items in the same directory.
[0099] As can be seen from the above, by using the medical health data resource directory construction method and system, 31 types of standardized data resource directories covering the whole process of diagnosis and treatment are constructed through the system, efficient integration, standardized sharing and safe and controllable application of medical data resources are realized, and the problems of data islands and low sharing efficiency caused by scattered data resources and non-uniform standards in the medical health field are solved.
[0100] The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the above embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.
Claims
1. A method for constructing a medical and health data resource catalog, characterized in that, Includes the following steps: S1. Construct a standardized data resource catalog of 31 categories covering the entire diagnosis and treatment process, define the information items and data standards under each category, and provide a basis for data mapping of heterogeneous systems; S2. Based on the information items and data standards of each of the 31 categories of standardized data resource catalogs, collect multi-source medical data through integration or exchange tools and aggregate it to the government data sharing platform to achieve centralized management of dispersed data. S3. Register 31 types of standardized data resource catalogs on the government data sharing platform, define metadata and information item details, and complete the standardized registration of the catalogs; S4. Based on the metadata of the registered directory, different data mounting channels are used according to the sharing type to achieve secure data sharing on the government data sharing platform.
2. The method for constructing a medical and health data resource catalog according to claim 1, characterized in that, Step S1 involves constructing a standardized data resource catalog of 31 categories, specifically including: Patient Information Table, Business Volume and Revenue Statistics Table, Surgical Record Table, Diagnosis Details Table, Registration Table, Outpatient Visit Record Table, Outpatient Prescription Details Table, Outpatient Fee Details Table, Treatment Fee Table, Admission Registration Table, Discharge Registration Table, Inpatient Visit Record Table, Inpatient Medical Order Details Table, Inpatient Fee Details Table, Inpatient / Discharge Settlement Table, Inpatient Medical Record Main Page Table, Surgical Details Table, Discharge Summary Table, Laboratory Test Report Header, Test Result Index Table, Bacterial Results, Drug Sensitivity Results, Medical Imaging Examination Report Table, Physical Examination Report Main Page, Physical Examination Grouping Report, Physical Examination Item Details Table, Department Dictionary Table, Medical Staff Dictionary Table, Details Item Comparison Dictionary Table, Specimen Dictionary Table, and Examination Type Dictionary Table. For each type of directory, define information items one by one and establish a unified data standard; At the same time, a mapping relationship is established between information items and corresponding fields in the Hospital Information System (HIS), Clinical Information System (CIS), and Laboratory Information System (LIS) to ensure that data from different information systems can be aligned according to standards, laying the foundation for subsequent data collection and aggregation.
3. The method for constructing a medical and health data resource catalog according to claim 2, characterized in that, Step S2 specifically includes: Based on the information items and data standards of each of the 31 categories of standardized data resource catalogs, appropriate integration or exchange tools are selected for Hospital Information System (HIS), Clinical Information System (CIS), and Laboratory Information System (LIS). The selected integration or exchange tools clean, transform, and load multi-source data according to standards, collecting structured, semi-structured, and unstructured data scattered in the Hospital Information System (HIS), Clinical Information System (CIS), and Laboratory Information System (LIS). The collected data is aggregated to the storage layer of the government data sharing platform through an encrypted transmission channel, forming a centralized medical data resource pool. The aggregation process strictly follows the defined data standards to ensure that the data entering the government data sharing platform is consistent with the catalog information items.
4. The method for constructing a medical and health data resource catalog according to claim 3, characterized in that, Step S3 specifically includes: In the catalog management module of the government data sharing platform, register 31 types of standardized data resource catalogs one by one. When registering, first fill in the catalog metadata: specify the information resource provider and its code, write the information resource summary, and specify the sharing method, update cycle, information resource format and usage requirements. For the information items included in the catalog, in addition to the name, the data type and length are determined based on the actual data characteristics. At the same time, in accordance with the regulations of the health unit, the sharing type, open status and data sensitivity of the information items are marked. The sharing type is divided into unconditional sharing, conditional sharing and no sharing, which provides a basis for the selection of subsequent data mounting channels.
5. The method for constructing a medical and health data resource catalog according to claim 4, characterized in that, Step S4 specifically includes: Based on the registered directory metadata, configure corresponding data mounting channels for 31 types of standardized data resource directories: For directories with a sharing type of "unconditional sharing", the data in the data source is directly mounted to the government data sharing platform in the form of a virtual view through the logical view mapping technology of the government data sharing platform, so that the original data can be linked in real time when users query, thus avoiding data redundancy; For sensitive data directories with the sharing type of "conditional sharing" and "not shared", an encrypted data copy is created in the isolation area of the government data sharing platform through a security sandbox mechanism. After the copy is mounted, it is only open to authorized users, and the de-identification process is automatically triggered when accessing it. For directories with a sharing type of "conditional sharing", the logical view mapping unit and the security sandbox unit are selectively invoked based on the specific sharing attributes of the information items in the directory to achieve differentiated mounting of different information items within the same directory.
6. A system for constructing a medical and health data resource catalog, characterized in that, It includes: The catalog building and definition module is used to build 31 standardized data resource catalogs covering the entire diagnosis and treatment process, define the information items and data standards under each catalog, and provide a basis for data mapping of heterogeneous systems. The heterogeneous data aggregation module is used to collect multi-source medical data based on the information items and data standards of each of the 31 categories of standardized data resource catalogs, and aggregate it to the government data sharing platform to achieve centralized management of dispersed data. The catalog standardization module is used to register 31 types of standardized data resource catalogs on the government data sharing platform, define metadata and information item details, and complete the standardized registration of the catalogs. The data mounting module is used to securely share data on the government data sharing platform by using different data mounting channels according to the sharing type, based on the metadata of the registered directory.
7. The system for constructing a medical and health data resource catalog according to claim 6, characterized in that, The 31 categories of standardized data resource catalogs constructed by the catalog construction and definition module specifically include: Patient Information Table, Business Volume and Revenue Statistics Table, Surgical Record Table, Diagnosis Details Table, Registration Table, Outpatient Visit Record Table, Outpatient Prescription Details Table, Outpatient Fee Details Table, Treatment Fee Table, Admission Registration Table, Discharge Registration Table, Inpatient Visit Record Table, Inpatient Medical Order Details Table, Inpatient Fee Details Table, Inpatient / Discharge Settlement Table, Inpatient Medical Record Main Page Table, Surgical Details Table, Discharge Summary Table, Laboratory Test Report Header, Test Result Index Table, Bacterial Results, Drug Sensitivity Results, Medical Imaging Examination Report Table, Physical Examination Report Main Page, Physical Examination Group Report, Physical Examination Item Details Table, Department Dictionary Table, Medical Staff Dictionary Table, Details Item Comparison Dictionary Table, Specimen Dictionary Table, and Examination Type Dictionary Table; The directory construction and definition module defines information items for each type of directory and establishes unified data standards. At the same time, it establishes a mapping relationship between information items and corresponding fields in the Hospital Information System (HIS), Clinical Information System (CIS), and Laboratory Information System (LIS) to ensure that data from different information systems can be aligned according to standards, laying the foundation for subsequent data collection and aggregation.
8. The system for constructing a medical and health data resource catalog according to claim 7, characterized in that, The heterogeneous data aggregation module specifically includes: The tool selection unit is used to select the appropriate integration tool or exchange tool for Hospital Information System (HIS), Clinical Information System (CIS), and Laboratory Information System (LIS) based on the information items and data standards of each of the 31 categories of standardized data resource catalogs. The tool invocation unit is used to invoke the selected integration tool or exchange tool to clean, transform, and load multi-source data according to standards, and to collect structured, semi-structured, and unstructured data scattered in the Hospital Information System (HIS), Clinical Information System (CIS), and Laboratory Information System (LIS). The data aggregation unit is used to aggregate the collected data to the storage layer of the government data sharing platform through an encrypted transmission channel, forming a centralized medical data resource pool. The aggregation process strictly follows the defined data standards to ensure that the data entering the government data sharing platform is consistent with the catalog information items.
9. The system for constructing a medical and health data resource catalog according to claim 8, characterized in that, The directory normalization module specifically includes: The directory registration unit is used to register 31 types of standardized data resource directories one by one in the directory management module of the government data sharing platform. When registering, the directory metadata must first be filled in: specifying the information resource provider and its code, writing the information resource summary, and specifying the sharing method, update cycle, information resource format and usage requirements. The information determination unit is used to determine the type and length of data for information items contained in the directory, excluding the name, based on the actual data characteristics. The information labeling unit is used to label the sharing type, open status, and data sensitivity of information items according to the regulations of the health unit. The sharing type is divided into unconditional sharing, conditional sharing, and no sharing, which provides a basis for the selection of subsequent data mounting channels.
10. The system for constructing a medical and health data resource catalog according to claim 9, characterized in that, The data mounting module specifically includes: The channel configuration unit is used to configure corresponding data mounting channels for 31 types of standardized data resource directories based on the registered directory metadata. The logical view mapping unit is used for directories with a sharing type of "unconditional sharing". Through the logical view mapping technology of the government data sharing platform, it directly mounts the data in the data source as a virtual view to the government data sharing platform, so that users can associate the original data in real time when querying and avoid data redundancy. The security sandbox unit is used to create encrypted data copies in the isolation area of the government data sharing platform for sensitive data directories with the sharing type of "conditional sharing" and "not shared". After the copies are mounted, they are only open to authorized users, and the de-identification process is automatically triggered when accessing them. The hybrid mount unit is used for directories with a sharing type of "conditional sharing". Based on the specific sharing attributes of the information items in the directory, it selectively calls the logical view mapping unit and the security sandbox unit to achieve differentiated mounting of different information items in the same directory.