CN112802608A - Real world-based objective medical data platform - Google Patents
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- CN112802608A CN112802608A CN202110197128.1A CN202110197128A CN112802608A CN 112802608 A CN112802608 A CN 112802608A CN 202110197128 A CN202110197128 A CN 202110197128A CN 112802608 A CN112802608 A CN 112802608A
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- G16H30/00—ICT specially adapted for the handling or processing of medical images
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Abstract
The invention discloses an objective medical data platform based on the real world. The platform includes: a plurality of data acquisition modules for acquiring a plurality of objective medical data, wherein each objective medical data has a different data format; the data formatting module is connected with the data acquisition modules and is used for formatting the multiple objective medical data respectively; the data storage module is connected with the data formatting module and is used for storing a plurality of types of formatted objective medical data in different databases, wherein each type of formatted objective medical data is stored in one database; and the data statistics module is connected with the data formatting module and the data storage module and is used for carrying out statistical analysis on the multiple objective medical data. The medical data fusion method meets the data types required by various medical data, realizes the fusion of different heterogeneous data, and reduces the storage space of the data.
Description
Technical Field
The embodiment of the invention relates to the technical field of medical data platforms, in particular to an objective medical data platform based on the real world.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
As the health and medical data becomes one of the national development strategies, the exploration of data acquisition and data analysis applications based on medical treatment is also gradually becoming a hot point for research in the medical industry. The development of human medicine has experienced a long history, and the mode of medical evidence is constantly changing from the past empirical medical age to the present evidence-based medical age. Future medical evidence-based modalities will revolutionize very much with real-world research and the development of large data. Some of the bottlenecks or challenges now encountered in random-control studies require the discovery of more diverse research methods, and relying on real-world studies on the presentation of such large samples of large data would be a very important direction in the future.
However, real-world objective medical data is complicated in variety, wide in coverage, complex to collect, large in data volume, and requires a large storage space.
Disclosure of Invention
The invention provides an objective medical data platform based on the real world, which aims to solve the problems in the prior art. The platform includes:
a plurality of data acquisition modules for acquiring a plurality of objective medical data, wherein each objective medical data has a different data format;
the data formatting module is connected with the data acquisition modules and is used for formatting the multiple objective medical data respectively;
the data storage module is connected with the data formatting module and is used for storing a plurality of types of formatted objective medical data in different databases, wherein each type of formatted objective medical data is stored in one database;
and the data statistics module is connected with the data formatting module and the data storage module and is used for carrying out statistical analysis on the multiple objective medical data.
In an alternative embodiment, the plurality of data acquisition modules comprises:
public health data acquisition module, with public health system pass through interface connection for gather public health data, wherein, public health data includes: personal and family health profile data, maternal, child, elderly management data, chronic disease management data, infectious disease management data, health surveillance data, follow-up data, and health education data.
In an optional embodiment, the plurality of data acquisition modules further comprises:
the clinical data acquisition module is connected with a clinical data system of a hospital through an interface and used for acquiring clinical data, wherein the clinical data comprises: clinical diagnostic data and laboratory test data for outpatient, hospitalization, emergency and physical examination, the clinical data system comprising: clinical data center, electronic medical record system, medical technology system, inspection system.
In an optional embodiment, the plurality of data acquisition modules further comprises:
the multimedia data acquisition module is used for acquiring multimedia data generated in the examination, wherein the multimedia data comprises: digital imaging and communication images, high definition pictures, videos, oscillograms, and scanned large images generated in radiology, ultrasound, endoscopy, electrophysiology, and pathology.
In an alternative embodiment, the data formatting module is configured to:
formatting the multimedia data; formatting other data than the multimedia data; and classifying and archiving the formatted multimedia data and other data according to respective types.
In an optional embodiment, in the data storage module, the formatted multimedia data uses cloud object storage or local disk storage.
In an alternative embodiment, the storage mode is sorted in time segments in the data storage module.
In an alternative embodiment, the data statistics module is further configured to form a presentation of the statistics table and the chart.
The invention has the beneficial effects that:
1. acquiring different types of objective medical data by adopting a plurality of data acquisition modules so as to meet the data types required in various medical data;
2. through the classified formatting and classified storage of the data, various acquired data types have a format capable of being fused, and the fusion of different heterogeneous data is realized;
3. the cloud object storage or local disk storage and the storage mode of time-interval sequencing are adopted, so that the storage space of data is reduced, and the problems of large data volume and large storage space requirement of real-world objective medical data are solved.
Drawings
Fig. 1 is a schematic structural diagram of a real-world-based objective medical data platform according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples. The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and it should be understood that the terms "comprises" and "comprising", and any variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
As the health and medical data becomes one of the national development strategies, the exploration of data acquisition and data analysis applications based on medical treatment is also gradually becoming a hot point for research in the medical industry. Some of the bottlenecks or challenges now encountered in random-control studies require the discovery of more diverse research methods, and relying on real-world studies on the presentation of such large samples of large data would be a very important direction in the future. In the future, it may be found that the approval of new drugs on the market by random control studies, followed by real world studies after marketing, the study of larger sample sizes of medical skills, may be a necessary process.
In this application "real world" refers to the real world environment in which humans are located; the objective medical data refers to various types of medical data or medical related data which are objective and have not been subjected to artificial post-processing, and comprises hospital diagnosis and treatment data, regional health medical data, health files, public health data and other data except for traditional clinical tests.
The real world objective medical data is of various types and wide coverage, and a large number of collected data samples are needed for directional research.
Real-world objective medical data is wide in design, complex to collect, fusion of different heterogeneous data needs to be considered (the linkage between different data sources has challenges), and an algorithm for data storage and analysis is complex.
Real-world objective medical data is large in data volume, including formatted and multimedia data, and requires a large storage space.
Based on the above thought, the present embodiment provides an objective medical data platform based on the real world. Fig. 1 is a schematic structural diagram of a real-world-based objective medical data platform according to an embodiment of the present invention. As shown in fig. 1, the platform includes: the device comprises a plurality of data acquisition modules, a data formatting module, a data storage module and a data statistics module.
A plurality of data collection modules for collecting a plurality of objective medical data, wherein each objective medical data has a different data format.
And the data formatting module is connected with the data acquisition modules and is used for formatting the multiple objective medical data respectively.
And the data storage module is connected with the data formatting module and is used for storing a plurality of types of formatted objective medical data in a database in a sub-database mode, wherein each type of formatted objective medical data is stored in one database.
And the data statistics module is connected with the data formatting module and the data storage module and is used for carrying out statistical analysis on the multiple objective medical data.
In an alternative embodiment, the plurality of data acquisition modules comprises: public health data acquisition module, with public health system pass through interface connection for gather public health data, wherein, public health data includes: personal and family health profile data, maternal, child, elderly management data, chronic disease management data, infectious disease management data, health surveillance data, follow-up data, and health education data.
In an optional embodiment, the plurality of data acquisition modules further comprises: the clinical data acquisition module is connected with a clinical data system of a hospital through an interface and used for acquiring clinical data, wherein the clinical data comprises: clinical diagnostic data and laboratory test data for outpatient, hospitalization, emergency and physical examination, the clinical data system comprising: clinical data center, electronic medical record system, medical technology system, inspection system.
In an optional embodiment, the plurality of data acquisition modules further comprises: the multimedia data acquisition module is used for acquiring multimedia data generated in the examination, wherein the multimedia data comprises: digital imaging and communication images, high definition pictures, videos, oscillograms, and scanned large images generated in radiology, ultrasound, endoscopy, electrophysiology, and pathology.
In an alternative embodiment, the data formatting module is configured to: formatting the multimedia data; formatting other data than the multimedia data; and classifying and archiving the formatted multimedia data and other data according to respective types.
In an optional embodiment, in the data storage module, the formatted multimedia data uses cloud object storage or local disk storage.
In an alternative embodiment, the storage mode is sorted in time segments in the data storage module.
In an alternative embodiment, the data statistics module is further configured to form a presentation of the statistics table and the chart.
It should be noted that, in the foregoing embodiment, each included unit and each included module are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
Medical data collected from real world guests has the following advantages:
1. the medical data of the customers collected in the real world can provide real and reliable objective data for epidemiological research and provide a more scientific data base for preventing and controlling diseases;
2. reasonable epidemiology and statistical analysis methods are applied, and the method can be used for prospective or retrospective research and is complementary with the traditional clinical test;
3. the objective medical data collected in the real world can provide objective, real and effective data support for medical statistics research;
4. the objective medical data collected in the real world can provide real basic data for the research of various chronic diseases, and the course of the diseases and the reasonable medication can be objectively and effectively researched;
5. real world objective medical data provides more realistic clinical trial data for medical research.
The real-world-based objective medical data platform provided by the implementation has the following beneficial effects:
1. acquiring different types of objective medical data by adopting a plurality of data acquisition modules so as to meet the data types required in various medical data;
2. through the classification formatting and classification storage of the data, various acquired data types have a format capable of being fused, and the fusion of different heterogeneous data is realized.
3. The cloud object storage or local disk storage and the storage mode of time-interval sequencing are adopted, so that the storage space of data is reduced, and the problems of large data volume and large storage space requirement of real-world objective medical data are solved.
4. Provides more abundant data for clinical disease research and epidemic disease research. Clinical and epidemiological studies from real-world objective medical data can be studied from a variety of dimensions and richer data samples. Compared with the traditional clinical test, the method has the advantages of less limitation on the disease condition of a patient, wider coverage population, larger sample size and better extrapolation of the research result.
5. Real-world objective medical data provides a more realistic sample of data for medical research. The medical research generally adopts specific crowds or sampling research, and real world objective medical data can reflect a certain phenomenon more truly and effectively than specific crowds and sampling data.
6. Real-world objective medical data is large and abundant in sample size. A large number of abundant samples, retrospective and prospective studies can be performed. The comprehensive utilization of various data makes it possible to obtain long-term clinical outcome data.
7. The data sample is large, the dimensionality is multiple, and the data can be laterally researched from different dimensionalities
8. The data statistical analysis quality is improved. When existing data are collected and analyzed, whether the people needed by the research are covered or not, key variables, follow-up visit duration and accuracy and integrity of the variables are evaluated, and existing data are subjected to standardized cleaning and extraction to form a real world research data set. Before data collection is actively collected, a collection range and collection variables are determined, a data dictionary is formulated, and a collection mode is standardized, so that error minimization is ensured, and authenticity, integrity and the like of the data are fully guaranteed.
Example two
Fig. 2 is a schematic structural diagram of a computer device according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes a processor 210 and a memory 220. The number of the processors 210 may be one or more, and one processor 210 is illustrated in fig. 2 as an example.
The memory 220 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 220 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 220 may further include memory located remotely from the processor 210, which may be connected to the device/terminal/server through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
It should be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, platform, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A real-world based objective medical data platform, comprising:
a plurality of data acquisition modules for acquiring a plurality of objective medical data, wherein each objective medical data has a different data format;
the data formatting module is connected with the data acquisition modules and is used for formatting the multiple objective medical data respectively;
the data storage module is connected with the data formatting module and is used for storing a plurality of types of formatted objective medical data in different databases, wherein each type of formatted objective medical data is stored in one database;
and the data statistics module is connected with the data formatting module and the data storage module and is used for carrying out statistical analysis on the multiple objective medical data.
2. The real-world based objective medical data platform of claim 1, wherein the plurality of data collection modules comprises:
public health data acquisition module, with public health system pass through interface connection for gather public health data, wherein, public health data includes: personal and family health profile data, maternal, child, elderly management data, chronic disease management data, infectious disease management data, health surveillance data, follow-up data, and health education data.
3. The real-world based objective medical data platform of claim 2, wherein the plurality of data collection modules further comprises:
the clinical data acquisition module is connected with a clinical data system of a hospital through an interface and used for acquiring clinical data, wherein the clinical data comprises: clinical diagnostic data and laboratory test data for outpatient, hospitalization, emergency and physical examination, the clinical data system comprising: clinical data center, electronic medical record system, medical technology system, inspection system.
4. The real-world based objective medical data platform of claim 3, wherein the plurality of data collection modules further comprises:
the multimedia data acquisition module is used for acquiring multimedia data generated in the examination, wherein the multimedia data comprises: digital imaging and communication images, high definition pictures, videos, oscillograms, and scanned large images generated in radiology, ultrasound, endoscopy, electrophysiology, and pathology.
5. The real-world based objective medical data platform of claim 4, wherein the data formatting module is to:
formatting the multimedia data;
formatting other data than the multimedia data;
and classifying and archiving the formatted multimedia data and other data according to respective types.
6. The real-world based objective medical data platform of claim 5, wherein in the data storage module, the formatted multimedia data uses cloud object storage or local disk storage.
7. The real-world based objective medical data platform of claim 6, wherein in the data storage module, storage means are sorted by time period.
8. The real-world based objective medical data platform of claim 7, wherein the data statistics module is further configured to form a presentation of statistics and charts.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN206249316U (en) * | 2016-11-22 | 2017-06-13 | 夏敬国 | A kind of Data Centre in Hospital plateform system based on high in the clouds |
| CN108182963A (en) * | 2017-12-14 | 2018-06-19 | 山东浪潮云服务信息科技有限公司 | A kind of medical data processing method and processing device |
| CN109192293A (en) * | 2018-07-24 | 2019-01-11 | 福建镓康医疗科技有限公司 | Primary care Health Services data management system |
| CN110010253A (en) * | 2018-01-05 | 2019-07-12 | 深圳市前海安测信息技术有限公司 | Region public medical collaboration processing cloud platform and method |
| CN110196890A (en) * | 2019-06-10 | 2019-09-03 | 四川互慧软件有限公司 | A kind of medical data classification storage and transfer system |
| CN110275908A (en) * | 2019-06-04 | 2019-09-24 | 阚智博 | Medical data digging system and method based on big data |
| CN110415831A (en) * | 2019-07-18 | 2019-11-05 | 天宜(天津)信息科技有限公司 | A kind of medical treatment big data cloud service analysis platform |
-
2021
- 2021-02-22 CN CN202110197128.1A patent/CN112802608A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN206249316U (en) * | 2016-11-22 | 2017-06-13 | 夏敬国 | A kind of Data Centre in Hospital plateform system based on high in the clouds |
| CN108182963A (en) * | 2017-12-14 | 2018-06-19 | 山东浪潮云服务信息科技有限公司 | A kind of medical data processing method and processing device |
| CN110010253A (en) * | 2018-01-05 | 2019-07-12 | 深圳市前海安测信息技术有限公司 | Region public medical collaboration processing cloud platform and method |
| CN109192293A (en) * | 2018-07-24 | 2019-01-11 | 福建镓康医疗科技有限公司 | Primary care Health Services data management system |
| CN110275908A (en) * | 2019-06-04 | 2019-09-24 | 阚智博 | Medical data digging system and method based on big data |
| CN110196890A (en) * | 2019-06-10 | 2019-09-03 | 四川互慧软件有限公司 | A kind of medical data classification storage and transfer system |
| CN110415831A (en) * | 2019-07-18 | 2019-11-05 | 天宜(天津)信息科技有限公司 | A kind of medical treatment big data cloud service analysis platform |
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