CN112559491A - Method and system for realizing adaptive management based on data model in medical industry - Google Patents
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Abstract
The invention discloses a method and a system for realizing adaptive management based on a data model in a medical industry, belonging to the technical field of data management in the medical industry, aiming at solving the technical problem of how to form a set of standard data sets in the industry according to the complicated and intricate data structure of each medical institution to realize the unified standardization of the data sets in the medical industry, and the technical scheme is as follows: the implementation method takes a medical institution as an entry point, takes a meta-model as an intra-industry unique standard, matches physical tables and attributes of the medical institution through the meta-model, and maps the physical tables and the attributes with various different field types in the medical institution to externally form a set of intra-industry standard connection configuration database, thereby realizing uniform standardization of data sets between medical industries. The system comprises a database configuration connection module, a standard model realization layering and domain division management module, a meta-model establishing module, a model mapping weight setting module, a target meta-data module and a data quality warning and statistical module.
Description
Technical Field
The invention relates to the technical field of data management in the medical industry, in particular to a method and a system for realizing adaptive management based on a data model in the medical industry.
Background
With the development of health information platform network construction, data interconnection and intercommunication between a medical and health institution data set and related departments cannot be realized due to the fact that data structures in the industry are different in every day, the design of a data model adaptation tool is changed from a traditional manual data structure comparison mode to an information management software mode, under the background of data interconnection and intercommunication of regional medical institutions, how to form a set of standard data sets in the industry according to the condition that the data structures of various medical institutions are complicated and complicated, and the realization of unified standardization of the data sets in the medical industry is a technical problem to be solved urgently at present.
Patent document CN106777970B discloses a system and a method for templating and integrating medical information system data, which combines with target data standards in the process of integrating medical information system data, constructs a reusable medical information system data integration template for the characteristics (including manufacturer, version, etc.) of the medical information system, and implements data integration for various heterogeneous medical information systems (such as HIS, LIS, RIS, EMR, PEIS, etc.). The special data set and the data conversion rule thereof are solidified to form a reusability template of a certain medical information system in the data integration process of a plurality of medical institutions, meanwhile, the template integration process of the heterogeneous system strengthens the adaptability of the template, establishes the forward relation between the template reusability and the template perfection, and relies on continuously perfecting optimized template library resources, so that the implementation difficulty can be effectively reduced, the data integration efficiency is improved, and the high-efficiency and high-quality development of the medical information system integration project is ensured. But can not form a set of standard data sets in the industry according to the complicated condition of the data structure of each medical institution, thereby realizing the uniform specification of the data sets in the medical industry.
Disclosure of Invention
The technical task of the invention is to provide a method and a system for realizing adaptive management based on a data model in the medical industry, so as to solve the problem of how to form a set of standard data sets in the industry externally according to the complicated and intricate data structure of each medical institution to realize the unified specification of the data sets in the medical industry.
The technical task of the invention is realized according to the following mode, a method for realizing adaptation management based on a data model in the medical industry is characterized in that a data structure between the industries of the medical institution is matched into a meta-model to realize data structure standardization by using the meta-model as an unique standard in the industry according to the source data of the medical institution as an entry point, so that the aims of data set unification and quality control are fulfilled, and the interconnection and intercommunication of regional data are realized;
a set of standard connection configuration database in the industry is externally formed by matching the physical tables and attributes of the remote medical institution through the meta-model and mapping the meta-model with various different field types in the medical institution, so that the unified specification of the data sets between the medical industries is realized. Preferably, the implementation method specifically comprises the following steps:
s1, creating a database configuration connection: confirming a target database address in the medical industry for docking a source database;
s2, realizing layering and domain division for the standard model according to the mechanism type: when a standard model is established, carrying out unified mapping management on model levels according to an intra-industry standard;
s3, establishing a meta-model: according to the guidance content in the national Weijian Commission and the national tetra-methyl evaluation standard, after inspecting the target data to be mapped, determining the data fields and the relevant attributes which are required to be mapped by the relevant standard;
s4, creating a model mapping relation: selecting the established database connection and meta-model, and establishing a mapping relation with the target model to perform model management;
s5, setting model mapping weight: for each model attribute, customizing whether to participate in the query and customizing the weight (for mapping data statistics);
s6, target data: data correction is carried out on the mapped data, so that the real-time hospital disordered data standardization is realized, and a foundation is laid for the subsequent data analysis work;
s7, data quality: through attribute configuration rules, error data conditions are automatically checked, the weight proportion of the current data is calculated, and the data efficiency, the error rate and the dictionary and rule matching rate are visually shown.
Preferably, the model management in step S4 is based on the meta-model, and is presented according to medical classification, and may be adapted to label the source library or the intra-industry physical library, create a relationship between the meta-model and the target physical table of the medical institution, and achieve a one-to-many association relationship.
Preferably, the mapping in step S4 includes original attribute configuration management and custom attribute configuration management, specifically to single element detail configuration.
Preferably, the weight in step S5 refers to a single attribute set weight ratio, which is used for data quality check monitoring and is beneficial to improving data quality and normalizing data degree.
A management system based on data model adaptation in the medical industry comprises,
the database configuration connection establishing module is used for butting a source database and confirming a target database address in the medical industry;
the standard model realization layering and domain division management module is used for carrying out model level unified mapping management according to the standard in the industry when a standard model is established;
the meta-model establishing module is used for determining data fields and relevant attributes of relevant standards to be mapped after investigating target data to be mapped according to the guidance content in the national Weijian Commission and the national tetra-methyl evaluation standard;
the model mapping module is used for selecting the established database connection and meta-model and establishing a mapping relation with the target model to perform model management;
the model mapping weight setting module is used for customizing whether to participate in the query and customizing the weight (used for mapping data statistics) aiming at each model attribute;
the target metadata module is used for correcting the mapped data, realizing the standardization of the disordered data of the hospital in real time and laying a foundation for the subsequent data analysis work;
and the data quality warning and counting module is used for automatically checking the error data condition and calculating the weight proportion of the current data through the attribute configuration rule, and visually showing the data efficiency, the error rate and the dictionary and rule matching rate.
Preferably, the model management in the model mapping module is based on a meta-model, and is displayed according to medical classification, and can be adapted to label a source library or an intra-industry physical library, and create a relation between the meta-model and a target physical table of a medical institution, so as to achieve a one-to-many association relation.
Preferably, the mapping in the model mapping module comprises original attribute configuration management and custom attribute configuration management, specifically to single element detail configuration;
the weight in the model mapping weight setting module refers to the weight ratio set by a single attribute, is used for checking and monitoring the data quality and is beneficial to improving the data quality and the standardized data degree.
An electronic device, comprising: a memory and at least one processor;
wherein the memory has stored thereon a computer program;
the at least one processor executes the computer program stored by the memory, so that the at least one processor executes the method for implementing the adaptation management based on the data model in the medical industry.
A computer-readable storage medium having stored thereon a computer program executable by a processor to implement a method for adapting management based on a data model in a medical industry as described above.
The method and the system for realizing the adaptive management based on the data model in the medical industry have the following advantages that:
the invention aims to provide the structural unification of core metadata in the medical industry, and based on a meta-model, the matching of attributes and physical fields is ensured by matching a remote organization physical table through the meta-model and simultaneously on the basis of the meta-model, so that the complicated condition of the data structure of each medical organization is solved, a set of standard data sets in the industry is finally formed outwards, and the unified standardization of the data sets in the medical industry is realized;
the method mainly aims at the medical industry, and the data structure between the industries of the medical institutions is matched into a meta-model to realize data structure standardization by taking the source data of the medical institutions as an entry point and taking a model as an intra-industry unique standard, so that the aims of data set unification and quality control are fulfilled, and the interconnection and intercommunication of regional data are finally realized;
the invention relates to national, provincial, municipal, regional and basic medical institutions or source data sets close to, matches source data sources of various medical institutions according to a standardized data model, by using an informatization means and a cross-platform mode and according to acquaintance, realizes and improves information interconnection and intercommunication capacity of various health family planning institutions at all levels in an area through project construction, and promotes the realization of data standardization in the business field.
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The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a diagram of meta-model matching;
FIG. 2 is a diagram of attribute mapping.
Detailed Description
The method and system for implementing adaptive management based on data model in medical industry according to the present invention will be described in detail with reference to the drawings and specific embodiments.
Example (b):
as shown in attached figures 1 and 2, the method for realizing adaptation management based on the data model in the medical industry of the invention takes a medical institution as an entry point, utilizes a meta-model as a unique standard in the industry, standardizes the model and the data structure between the industries of the medical institution, achieves the purposes of data set unification and quality control, and realizes the interconnection and intercommunication of regional data; a set of standard data sets in the industry is externally formed by matching the physical tables and attributes of the remote medical institution through the meta-model and mapping the meta-model with various different field types in the medical institution, so that the unified specification of the data sets in the medical industry is realized; in order to improve the data management level, a standard and universal business model and a data model need to be established in a certain range or industry, so that a meta model aiming at metadata exists; the method comprises the following specific steps:
s1, creating a database configuration connection: confirming a target database address in the medical industry for docking a source database;
s2, realizing layering and domain division for the standard model according to the mechanism type: when a standard model is established, carrying out unified mapping management on model levels according to an intra-industry standard;
s3, establishing a meta-model: according to the guidance content in the national Weijian Commission and the national tetra-methyl evaluation standard, after inspecting the target data to be mapped, determining the data fields and the relevant attributes which are required to be mapped by the relevant standard;
s4, creating a model mapping relation: selecting the established database connection and meta-model, and establishing a mapping relation with the target model to perform model management;
s5, setting model mapping weight: for each model attribute, customizing whether to participate in the query and customizing the weight (for mapping data statistics);
s6, target data: after the model mapping closed loop process is completely established, the data-meta model-mapping model-post mapping data correction-data feedback process is adopted, so that the real-time hospital disordered data standardization can be realized, and a foundation is laid for the subsequent data analysis work.
S7, data quality: through attribute configuration rules, error data conditions are automatically checked, the weight proportion of the current data is calculated, and the data efficiency, the error rate and the dictionary and rule matching rate are visually shown.
In this embodiment, the model management in step S4 is based on the meta-model, and is presented according to medical classification, and may be adapted to the label source library or the medical institution physical library, and create a relationship between the meta-model and the medical institution target physical table, so as to achieve a one-to-many association relationship.
In this embodiment, the mapping in step S4 includes original attribute configuration management and custom attribute configuration management, specifically, to a single element detail configuration.
The weight in step S5 in this embodiment refers to a single attribute set weight ratio, which is used for data quality check monitoring and is beneficial to improving data quality and normalized data degree.
Example 2:
the invention discloses a data model adaptation management system based on medical industry, which comprises,
the database configuration connection establishing module is used for butting a source database and confirming a target database address in the medical industry;
the standard model realization layering and domain division management module is used for carrying out model level unified mapping management according to the standard in the industry when a standard model is established;
the meta-model establishing module is used for determining data fields and relevant attributes of relevant standards to be mapped after investigating target data to be mapped according to the guidance content in the national Weijian Commission and the national tetra-methyl evaluation standard;
the model mapping module is used for selecting the established database connection and meta-model and establishing a mapping relation with the target model to perform model management;
the model mapping weight setting module is used for customizing whether to participate in the query and customizing the weight according to each model attribute;
the target metadata module is used for correcting the mapped data, realizing the standardization of the disordered data of the hospital in real time and laying a foundation for the subsequent data analysis work;
and the data quality warning and counting module is used for automatically checking the error data condition and calculating the weight proportion of the current data through the attribute configuration rule, and visually showing the data efficiency, the error rate and the dictionary and rule matching rate.
In the embodiment, model management in the model mapping module is based on the meta-model, and is displayed according to medical classification, so that the relation between the meta-model and the target physical table of the medical institution can be established by adapting to the label source library or the intra-industry physical library, and the one-to-many incidence relation is achieved.
The mapping in the model mapping module in the embodiment comprises original attribute configuration management and custom attribute configuration management, particularly to single element detail configuration;
the weight in the model mapping weight setting module in this embodiment refers to a single attribute set weight ratio, which is used for data quality check monitoring and is beneficial to improving data quality and standardized data degree.
Example 3:
an embodiment of the present invention further provides an electronic device, including: a memory and at least one processor;
wherein the memory stores computer-executable instructions;
the at least one processor executes the computer-executable instructions stored by the memory, so that the at least one processor executes the method for implementing the adaptation management based on the data model in the medical industry according to any embodiment of the invention.
Example 4:
the embodiment of the invention also provides a computer-readable storage medium, wherein a plurality of instructions are stored, and the instructions are loaded by the processor, so that the processor executes the method for realizing the adaptation management based on the data model in the medical industry in any embodiment of the invention. Specifically, a system or an apparatus equipped with a storage medium on which software program codes that realize the functions of any of the above-described embodiments are stored may be provided, and a computer (or a CPU or MPU) of the system or the apparatus is caused to read out and execute the program codes stored in the storage medium.
In this case, the program code itself read from the storage medium can realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.
Examples of the storage medium for supplying the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RYM, DVD-RW, DVD + RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer via a communications network.
Further, it should be clear that the functions of any one of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform a part or all of the actual operations based on instructions of the program code.
Further, it is to be understood that the program code read out from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causes a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on instructions of the program code, thereby realizing the functions of any of the above-described embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for realizing adaptation management based on a data model in the medical industry is characterized in that the method is characterized in that according to the source data of a medical institution as an entry point, a meta-model is used as an unique standard in the industry, a data structure between industries of the medical institution is matched into the meta-model to realize data structure standardization, the purposes of data set unification and quality control are achieved, and regional data interconnection and intercommunication are realized;
a set of standard connection configuration database in the industry is externally formed by matching the physical tables and attributes of the remote medical institution through the meta-model and mapping the meta-model with various different field types in the medical institution, so that the unified specification of the data sets between the medical industries is realized.
2. The method for implementing adaptive management based on data model in medical industry according to claim 1, is characterized in that the implementation method specifically comprises the following steps:
s1, creating a database configuration connection: confirming a target database address in the medical industry for docking a source database;
s2, realizing layering and domain division for the standard model according to the mechanism type: when a standard model is established, carrying out unified mapping management on model levels according to an intra-industry standard;
s3, establishing a meta-model: according to the guidance content in the national Weijian Commission and the national tetra-methyl evaluation standard, after inspecting the target data to be mapped, determining the data fields and the relevant attributes which are required to be mapped by the relevant standard;
s4, creating a model mapping relation: selecting the established database connection and meta-model, and establishing a mapping relation with the target model to perform model management;
s5, setting model mapping weight: for each model attribute, customizing whether to participate in the query and customizing the weight;
s6, target data: data correction is carried out on the mapped data, so that the real-time hospital disordered data standardization is realized, and a foundation is laid for the subsequent data analysis work;
s7, data quality: through attribute configuration rules, error data conditions are automatically checked, the weight proportion of the current data is calculated, and the data efficiency, the error rate and the dictionary and rule matching rate are visually shown.
3. The method as claimed in claim 2, wherein the model management in step S4 is based on meta-model, and is presented according to medical classification, and is adapted to label source library or intra-industry physical library, create a relationship between meta-model and medical institution target physical table, and make one-to-many association.
4. The method for implementing adaptation management based on data model in medical industry according to claim 2, wherein the mapping in step S4 includes original attribute configuration management and custom attribute configuration management, specifically to single element detail configuration.
5. The method for implementing adaptive management based on data model in medical industry according to any one of claims 2 to 4, wherein the weight in step S5 is that a single attribute is set to weight ratio for data quality check monitoring and beneficial to improve data quality and normalized data degree.
6. A system for adapting and managing based on a data model in the medical industry is characterized by comprising,
the database configuration connection establishing module is used for butting a source database and confirming a target database address in the medical industry;
the standard model realization layering and domain division management module is used for carrying out model level unified mapping management according to the standard in the industry when a standard model is established;
the meta-model establishing module is used for determining data fields and relevant attributes of relevant standards to be mapped after investigating target data to be mapped according to the guidance content in the national Weijian Commission and the national tetra-methyl evaluation standard;
the model mapping module is used for selecting the established database connection and meta-model and establishing a mapping relation with the target model to perform model management;
the model mapping weight setting module is used for customizing whether to participate in the query and customizing the weight according to each model attribute;
the target metadata module is used for correcting the mapped data, realizing the standardization of the disordered data of the hospital in real time and laying a foundation for the subsequent data analysis work;
and the data quality warning and counting module is used for automatically checking the error data condition and calculating the weight proportion of the current data through the attribute configuration rule, and visually showing the data efficiency, the error rate and the dictionary and rule matching rate.
7. The system for model adaptation management based on data in the medical industry according to claim 6, wherein the model management in the model mapping module is based on a meta-model as a basis, and is displayed according to medical classification, and can be adapted to label a source library or an intra-industry physical library, and create a relation between the meta-model and a medical institution target physical table, so as to achieve a one-to-many association relation.
8. The fit management system based on the data model in the medical industry according to claim 6 or 7, wherein the mapping in the model mapping module comprises original attribute configuration management and custom attribute configuration management;
the weight in the model mapping weight setting module refers to the weight ratio set by a single attribute, is used for checking and monitoring the data quality and is beneficial to improving the data quality and the standardized data degree.
9. An electronic device, comprising: a memory and at least one processor;
wherein the memory has stored thereon a computer program;
the at least one processor executes the memory-stored computer program to cause the at least one processor to perform the method of any one of claims 1-5 for implementing fit management based on the data model in the medical industry.
10. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and the computer program is executable by a processor to implement the method for adapting management based on data model in medical industry according to claims 1 to 5.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111627520A (en) * | 2020-06-04 | 2020-09-04 | 曹庆恒 | Method, system and equipment for managing operation related rules |
| CN112990767A (en) * | 2021-04-20 | 2021-06-18 | 上海领健信息技术有限公司 | Vertical consumption medical SaaS production data calculation method, system, terminal and medium |
| CN113488182A (en) * | 2021-05-25 | 2021-10-08 | 北京大学 | Multi-source heterogeneous medical laboratory examination data processing method, device, equipment and medium |
| CN116013487A (en) * | 2023-03-27 | 2023-04-25 | 深圳市浩然盈科通讯科技有限公司 | Data adaptation method and system applied to medical system |
| CN117524388A (en) * | 2023-11-27 | 2024-02-06 | 浙江省卫生健康信息中心 | Real-time acquisition and quality control method for health medical data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106250382A (en) * | 2016-01-28 | 2016-12-21 | 新博卓畅技术（北京）有限公司 | A kind of metadata management automotive engine system and implementation method |
| US20170103163A1 (en) * | 2015-10-12 | 2017-04-13 | Paul Emanuel | System and Method for a Cloud Enabled Health Record Exchange Engine |
| CN106777970A (en) * | 2016-12-15 | 2017-05-31 | 北京锐软科技股份有限公司 | The integrated system and method for a kind of medical information system data template |
| CN106991015A (en) * | 2017-03-17 | 2017-07-28 | 浙江大学 | A kind of integration medical information system monitoring method marked based on message semantics |
| CN110347662A (en) * | 2019-07-12 | 2019-10-18 | 之江实验室 | A kind of multicenter medical data construction standard system based on generic data model |
-
2020
- 2020-12-17 CN CN202011495259.XA patent/CN112559491A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170103163A1 (en) * | 2015-10-12 | 2017-04-13 | Paul Emanuel | System and Method for a Cloud Enabled Health Record Exchange Engine |
| CN106250382A (en) * | 2016-01-28 | 2016-12-21 | 新博卓畅技术（北京）有限公司 | A kind of metadata management automotive engine system and implementation method |
| CN106777970A (en) * | 2016-12-15 | 2017-05-31 | 北京锐软科技股份有限公司 | The integrated system and method for a kind of medical information system data template |
| CN106991015A (en) * | 2017-03-17 | 2017-07-28 | 浙江大学 | A kind of integration medical information system monitoring method marked based on message semantics |
| CN110347662A (en) * | 2019-07-12 | 2019-10-18 | 之江实验室 | A kind of multicenter medical data construction standard system based on generic data model |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111627520A (en) * | 2020-06-04 | 2020-09-04 | 曹庆恒 | Method, system and equipment for managing operation related rules |
| CN112990767A (en) * | 2021-04-20 | 2021-06-18 | 上海领健信息技术有限公司 | Vertical consumption medical SaaS production data calculation method, system, terminal and medium |
| CN113488182A (en) * | 2021-05-25 | 2021-10-08 | 北京大学 | Multi-source heterogeneous medical laboratory examination data processing method, device, equipment and medium |
| CN116013487A (en) * | 2023-03-27 | 2023-04-25 | 深圳市浩然盈科通讯科技有限公司 | Data adaptation method and system applied to medical system |
| CN117524388A (en) * | 2023-11-27 | 2024-02-06 | 浙江省卫生健康信息中心 | Real-time acquisition and quality control method for health medical data |
| CN117524388B (en) * | 2023-11-27 | 2024-04-16 | 浙江省卫生健康信息中心 | Real-time acquisition and quality control method for health medical data |
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