CN111833974A - Clinical trial scheme intelligent optimization and evaluation system based on big data - Google Patents
Clinical trial scheme intelligent optimization and evaluation system based on big data Download PDFInfo
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- CN111833974A CN111833974A CN202010732362.5A CN202010732362A CN111833974A CN 111833974 A CN111833974 A CN 111833974A CN 202010732362 A CN202010732362 A CN 202010732362A CN 111833974 A CN111833974 A CN 111833974A
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Abstract
The invention provides a clinical trial scheme intelligent optimization and evaluation system based on big data, which comprises: the big data acquisition module is used for acquiring target clinical test data information and preset clinical test scheme information on each evaluation dimension; the big data analysis module is used for calculating the matching use times and the corresponding matching degree of the clinical test scheme according to the target clinical test data and the clinical test scheme information; the scheme selection module is used for selecting a test scheme from the clinical test schemes according to the matching use times of the clinical test schemes and the corresponding matching degree, and recommending the test scheme to a user according to the matching degree priority; and the display module is used for visually displaying the recommendation scheme. The invention calculates the optimal selection and evaluation test scheme based on big data analysis, and improves the clinical research efficiency.
Description
Technical Field
The invention belongs to the technical field of medical information management, and particularly relates to a clinical test scheme intelligent optimization and evaluation system based on big data.
Background
With the rapid development of medical technology, clinical trials are becoming more and more the focus of attention in the medical field. Clinical trials may refer to any systematic study of drugs in humans (patients or healthy volunteers) to confirm or reveal the effects, adverse effects and/or absorption, distribution, metabolism and excretion of the test drugs in order to determine the effectiveness and safety of the test drugs, which requires accurate and detailed clinical trial data as a support.
At present, most of the current clinical tests use an electronic data acquisition system to collect clinical test data, but the current electronic system can only store, record and basically manage the clinical test data, can not perform optimization and evaluation of test schemes according to the test data, often needs manual work to specify the optimal scheme, wastes time and labor, can not accurately analyze multiple data, performs optimal selection and evaluation, and is not beneficial to clinical research.
Disclosure of Invention
The invention aims to provide a clinical test scheme intelligent optimization and evaluation system based on big data, which is used for analyzing and calculating the optimization and evaluation test scheme based on the big data and improving the clinical research efficiency.
The invention provides the following technical scheme:
clinical trial scheme intelligence is preferred and evaluation system based on big data, includes:
the big data acquisition module is used for acquiring target clinical test data information and preset clinical test scheme information on each evaluation dimension;
the big data analysis module is used for calculating the matching use times and the corresponding matching degree of the clinical test scheme according to the target clinical test data and the clinical test scheme information;
the scheme selection module is used for selecting a test scheme from the clinical test schemes according to the matching use times of the clinical test schemes and the corresponding matching degree, and recommending the test scheme to a user according to the matching degree priority;
and the display module is used for visually displaying the recommendation scheme.
Preferably, the big data analysis module further comprises a clinical test scheme evaluation parameter database and a parameter selection module, wherein the clinical test scheme evaluation parameter database is stored in the server and stores evaluation parameter values evaluated by the clinical test scheme; and the parameter selection module is stored in the server, receives a request of the evaluation parameters selected by the clinical test scheme evaluation client, selects the evaluation parameter values of the clinical test scheme from the clinical test scheme evaluation parameter database or generates the parameter values, evaluates the clinical test scheme and returns the clinical test scheme to the clinical test scheme client.
Preferably, the big data analysis module further includes a matching degree calculation module, which is used for calculating the matching degree of the test scheme to the target clinical test data information according to the obtained target clinical test data information, the preset number of times of using the clinical test scheme in each evaluation dimension and the success rate of the test result.
Preferably, the matching degree priority comprises a clinical test scheme use frequency priority, a test result success rate priority and a comprehensive frequency result priority.
The invention has the beneficial effects that: according to the invention, the test scheme applicability matching degree is obtained through a big data method, and the optimized and evaluated test scheme is pushed according to the priority, so that the efficiency and the accuracy of the research clinical test result are improved in an auxiliary manner.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, the clinical trial protocol intelligent optimization and evaluation system based on big data comprises:
the big data acquisition module is used for acquiring target clinical test data information and preset clinical test scheme information on each evaluation dimension;
the big data analysis module is used for calculating the matching use times and the corresponding matching degree of the clinical test scheme according to the target clinical test data and the clinical test scheme information;
the scheme selection module is used for selecting a test scheme from the clinical test schemes according to the matching use times of the clinical test schemes and the corresponding matching degree, and recommending the test scheme to a user according to the matching degree priority;
and the display module is used for visually displaying the recommendation scheme.
Specifically, the big data analysis module further comprises a clinical test scheme evaluation parameter database and a parameter selection module, wherein the clinical test scheme evaluation parameter database is stored in the server and stores evaluation parameter values evaluated by the clinical test scheme; and the parameter selection module is stored in the server, receives a request of the evaluation parameters selected by the clinical test scheme evaluation client, selects the evaluation parameter values of the clinical test scheme from the clinical test scheme evaluation parameter database or generates the parameter values, evaluates the clinical test scheme and returns the clinical test scheme to the clinical test scheme client. The big data analysis module further comprises a matching degree calculation module used for calculating the matching degree of the test scheme to the target clinical test data information according to the obtained target clinical test data information, the preset clinical test scheme using times on each evaluation dimension and the test result success rate.
Further, the display module can select display according to the following priority: the matching degree priority comprises a clinical test scheme use frequency priority, a test result success rate priority and a comprehensive frequency result priority.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. 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 (4)
1. Clinical trial scheme intelligence is preferred and evaluation system based on big data, its characterized in that includes:
the big data acquisition module is used for acquiring target clinical test data information and preset clinical test scheme information on each evaluation dimension;
the big data analysis module is used for calculating the matching use times and the corresponding matching degree of the clinical test scheme according to the target clinical test data and the clinical test scheme information;
the scheme selection module is used for selecting a test scheme from the clinical test schemes according to the matching use times of the clinical test schemes and the corresponding matching degree, and recommending the test scheme to a user according to the matching degree priority;
and the display module is used for visually displaying the recommendation scheme.
2. The big data based clinical trial protocol intelligent optimization and evaluation system according to claim 1, wherein the big data analysis module further comprises a clinical trial protocol evaluation parameter database and a parameter selection module, the clinical trial protocol evaluation parameter database is stored in the server and stores evaluation parameter values for clinical trial protocol evaluation; and the parameter selection module is stored in the server, receives a request of the evaluation parameters selected by the clinical test scheme evaluation client, selects the evaluation parameter values of the clinical test scheme from the clinical test scheme evaluation parameter database or generates the parameter values, evaluates the clinical test scheme and returns the clinical test scheme to the clinical test scheme client.
3. The clinical trial scheme intelligent optimization and evaluation system based on big data according to claim 1, wherein the big data analysis module further comprises a matching degree calculation module for calculating the matching degree of the trial scheme to the target clinical trial data information according to the obtained target clinical trial data information, the preset clinical trial scheme use times in each evaluation dimension and the trial result success rate.
4. The big data-based clinical trial protocol intelligent preference and assessment system according to claim 1, wherein the matching degree priority comprises a clinical trial protocol usage number priority, a trial result success rate priority and a composite number result priority.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202010732362.5A CN111833974A (en) | 2020-07-27 | 2020-07-27 | Clinical trial scheme intelligent optimization and evaluation system based on big data |
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| CN202010732362.5A CN111833974A (en) | 2020-07-27 | 2020-07-27 | Clinical trial scheme intelligent optimization and evaluation system based on big data |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113066543A (en) * | 2021-04-12 | 2021-07-02 | 北京药明津石医药科技有限公司 | Clinical research coordinator scheduling method, device, computer equipment and storage medium |
| CN114334045A (en) * | 2021-12-28 | 2022-04-12 | 科临达康医药生物科技(北京)有限公司 | Clinical trial scheme generation method, device and equipment |
| CN116137185A (en) * | 2023-04-20 | 2023-05-19 | 南京引光医药科技有限公司 | Clinical examination report generation system and method |
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|---|---|---|---|---|
| JP2011159176A (en) * | 2010-02-02 | 2011-08-18 | Jikko Data Science Kk | Method and device for displaying feature map of clinical trial design |
| CN110415772A (en) * | 2019-07-31 | 2019-11-05 | 曹茂华 | Clinical test patient enrolment and case Rapid matching system |
| KR20200086168A (en) * | 2019-01-08 | 2020-07-16 | 연세대학교 산학협력단 | System and Method for Supporting Pragmatic or Practical Clinical Trial |
-
2020
- 2020-07-27 CN CN202010732362.5A patent/CN111833974A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011159176A (en) * | 2010-02-02 | 2011-08-18 | Jikko Data Science Kk | Method and device for displaying feature map of clinical trial design |
| KR20200086168A (en) * | 2019-01-08 | 2020-07-16 | 연세대학교 산학협력단 | System and Method for Supporting Pragmatic or Practical Clinical Trial |
| CN110415772A (en) * | 2019-07-31 | 2019-11-05 | 曹茂华 | Clinical test patient enrolment and case Rapid matching system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113066543A (en) * | 2021-04-12 | 2021-07-02 | 北京药明津石医药科技有限公司 | Clinical research coordinator scheduling method, device, computer equipment and storage medium |
| CN114334045A (en) * | 2021-12-28 | 2022-04-12 | 科临达康医药生物科技(北京)有限公司 | Clinical trial scheme generation method, device and equipment |
| CN116137185A (en) * | 2023-04-20 | 2023-05-19 | 南京引光医药科技有限公司 | Clinical examination report generation system and method |
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Application publication date: 20201027 |