CN113077906A - Metadata-based medical information acquisition method, system, device and medium - Google Patents
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Abstract
The invention discloses a method, a system, equipment and a medium for acquiring medical information based on metadata, which are used for acquiring medical information of a sample through a medical information acquisition algorithm to obtain acquired medical information, performing medical information association to obtain first associated medical information, performing content differentiation to obtain content differentiated medical information, updating algorithm indexes based on missing information of the content differentiated medical information and a content differentiated algorithm, performing content differentiation through a target content differentiated algorithm to obtain target medical information, and updating algorithm indexes based on the missing information of the content differentiated medical information, the target medical information and a target content differentiated algorithm. In the process of acquiring medical information, if there is a disorder of relevant information, the algorithm index needs to be updated simultaneously by the missing information of the content differentiation medical information and the content differentiation algorithm and the missing information of the content differentiation medical information, the target medical information and the target content differentiation algorithm, so that the accuracy of the acquired relevant information can be accurately ensured.
Description
Technical Field
The present disclosure relates to the field of metadata and medical information collection technologies, and in particular, to a method, a system, a device, and a medium for collecting medical information based on metadata.
Background
The Hospital Information System (HIS) includes two parts, an outpatient department and an inpatient department, and is mainly used for medicine and charging. The electronic computer and the communication equipment are utilized to provide the capabilities of collecting, storing, processing, extracting and exchanging the diagnosis and treatment information and the administrative management information of the patients for all departments to which the hospital belongs, and meet the functional requirements of all authorized users.
The related medical information is generally collected by a manual collection method, but the problem is that related information is wrong, and information is wrong.
Disclosure of Invention
To solve the technical problems of the related art, the present disclosure provides a method, system, device and medium for collecting medical information based on metadata.
The scheme provides a medical information acquisition method based on metadata, and the method comprises the following steps:
respectively carrying out medical information acquisition on the sample medical information through a plurality of medical information acquisition algorithms to obtain a plurality of corresponding acquired medical information;
performing medical information association on the plurality of pieces of acquired medical information to obtain first associated medical information;
respectively carrying out content distinguishing on the first associated medical information through a plurality of content distinguishing algorithms to obtain a plurality of corresponding content distinguishing medical information;
the content distinguishing algorithm and the medical information acquisition algorithm are in one-to-one correspondence; updating algorithm indexes of the content distinguishing algorithms based on the content distinguishing medical information and the missing information of the content distinguishing algorithms;
performing content differentiation on the first associated medical information through a target content differentiation algorithm to obtain target medical information; the target content distinguishing algorithm is one of a plurality of content distinguishing algorithms after the algorithm index is updated;
updating an algorithm index of the target content distinguishing algorithm based on the plurality of content distinguishing medical information, the target medical information, and the missing information of the target content distinguishing algorithm.
Preferably, before the medical information acquisition is performed on the sample medical information by the plurality of medical information acquisition algorithms, the method further includes:
respectively carrying out medical information acquisition on the sample medical information through the plurality of medical information acquisition algorithms to obtain a plurality of corresponding first medical information;
respectively carrying out content distinguishing on the plurality of first medical information through the plurality of content distinguishing algorithms to obtain a plurality of corresponding second medical information;
updating the algorithm indexes of the plurality of medical information acquisition algorithms and the plurality of content distinguishing algorithms based on the plurality of second medical information and the missing information of the plurality of content distinguishing algorithms.
Preferably, the updating the algorithm indexes of the plurality of medical information collection algorithms and the plurality of content distinguishing algorithms based on the plurality of second medical information and the missing information of the plurality of content distinguishing algorithms includes:
determining a difference between the second medical information and the sample medical information;
determining a missing information parameter of the content discrimination algorithm based on the discrimination; when the parameters of the missing information reach first preset parameters, determining corresponding first missing information based on the missing information of the content distinguishing algorithm;
and feeding back the first missing information in the content distinguishing algorithm and the acquisition algorithm, and updating the algorithm indexes of all layers of the content distinguishing algorithm and the algorithm indexes of all layers of the acquisition algorithm in the feedback process.
Preferably, the updating the algorithm index of the content distinguishing algorithms based on the content distinguishing medical information and the missing information of the content distinguishing algorithms includes:
performing medical information association on the plurality of second medical information to obtain second associated medical information; determining a missing information parameter of the content discrimination algorithm based on the difference between the content discrimination medical information and the second associated medical information and the difference between the content discrimination medical information and the sample medical information;
when the parameters of the missing information reach second preset parameters, determining corresponding second missing information based on the missing information of the content distinguishing algorithm;
and feeding back the second missing information in the content distinguishing algorithm, and updating algorithm indexes of all layers of the content distinguishing algorithm in the feedback process.
This scheme provides a medical information collection system based on metadata, including medical information collection equipment and data processing terminal, medical information collection equipment with data processing terminal communication connection, terminal equipment includes:
the information acquisition module is used for respectively acquiring medical information of the sample medical information through a plurality of medical information acquisition algorithms to obtain a plurality of corresponding acquired medical information;
the information association module is used for performing medical information association on the plurality of acquired medical information to obtain first associated medical information;
the information distinguishing module is used for distinguishing the content of the first associated medical information respectively through a plurality of content distinguishing algorithms to obtain a plurality of corresponding content distinguishing medical information;
the information updating module is used for enabling the content distinguishing algorithm and the medical information acquisition algorithm to be in one-to-one correspondence; updating algorithm indexes of the content distinguishing algorithms based on the content distinguishing medical information and the missing information of the content distinguishing algorithms;
the content distinguishing module is used for distinguishing the content of the first associated medical information through a target content distinguishing algorithm to obtain target medical information; the target content distinguishing algorithm is one of a plurality of content distinguishing algorithms after the algorithm index is updated;
and the content updating module is used for updating the algorithm index of the target content distinguishing algorithm based on the content distinguishing medical information, the target medical information and the missing information of the target content distinguishing algorithm.
Preferably, the terminal device includes:
respectively carrying out medical information acquisition on the sample medical information through the plurality of medical information acquisition algorithms to obtain a plurality of corresponding first medical information;
respectively carrying out content distinguishing on the plurality of first medical information through the plurality of content distinguishing algorithms to obtain a plurality of corresponding second medical information;
updating the algorithm indexes of the plurality of medical information acquisition algorithms and the plurality of content distinguishing algorithms based on the plurality of second medical information and the missing information of the plurality of content distinguishing algorithms.
Preferably, the terminal device includes:
determining a difference between the second medical information and the sample medical information;
determining a missing information parameter of the content discrimination algorithm based on the discrimination; when the parameters of the missing information reach first preset parameters, determining corresponding first missing information based on the missing information of the content distinguishing algorithm;
and feeding back the first missing information in the content distinguishing algorithm and the acquisition algorithm, and updating the algorithm indexes of all layers of the content distinguishing algorithm and the algorithm indexes of all layers of the acquisition algorithm in the feedback process.
Preferably, the terminal device includes:
performing medical information association on the plurality of second medical information to obtain second associated medical information; determining a missing information parameter of the content discrimination algorithm based on the difference between the content discrimination medical information and the second associated medical information and the difference between the content discrimination medical information and the sample medical information;
when the parameters of the missing information reach second preset parameters, determining corresponding second missing information based on the missing information of the content distinguishing algorithm;
and feeding back the second missing information in the content distinguishing algorithm, and updating algorithm indexes of all layers of the content distinguishing algorithm in the feedback process.
The scheme provides a terminal device, which comprises a processor and a memory which are communicated with each other, wherein the processor is used for calling a computer program from the memory and realizing the method of any one of the above items by running the computer program.
The present solution provides a computer-readable storage medium having stored thereon a computer program which, when executed, implements the method of any of the above.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects.
The method, the system, the equipment and the medium for acquiring the medical information based on the metadata are used for acquiring the medical information of a sample through a plurality of medical information acquisition algorithms, acquiring a plurality of acquired medical information for medical information association, acquiring first associated medical information for content differentiation, acquiring a plurality of content differentiated medical information, updating algorithm indexes based on the missing information of the content differentiated medical information and the content differentiated algorithms, performing content differentiation through a target content differentiated algorithm to acquire target medical information, and updating the algorithm indexes based on the missing information of the content differentiated medical information, the target medical information and the target content differentiated algorithms. In the process of acquiring the medical information, the condition of disorder of the relevant information exists, so that the algorithm index needs to be updated simultaneously through the content distinguishing medical information, the missing information of the content distinguishing algorithm, the content distinguishing medical information, the target medical information and the missing information of the target content distinguishing algorithm, and the accuracy of the acquired relevant information can be accurately ensured.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic diagram of an architecture of a metadata-based medical information acquisition system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for collecting medical information based on metadata according to an embodiment of the present invention;
fig. 3 is a functional block diagram of a medical information acquisition apparatus based on metadata according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
In order to facilitate the explanation of the above-mentioned method and apparatus for collecting medical information based on metadata, please refer to fig. 1, which is a schematic diagram of a communication architecture of a medical information collecting system 100 based on metadata according to an embodiment of the present invention. The metadata-based medical information collection system 100 may include a terminal device 300 and a medical information collection device 200, wherein the terminal device 300 is in communication connection with the medical information collection device 200.
In a specific embodiment, the terminal device 300 may be a desktop computer, a tablet computer, a notebook computer, a mobile phone, or other terminal devices capable of implementing data processing and data communication, which is not limited herein.
On the basis of the above, please refer to fig. 2 in combination, which is a flowchart illustrating a metadata-based medical information collecting method according to an embodiment of the present invention, the metadata-based medical information collecting method may be applied to the terminal device 300 in fig. 1, and further, the metadata-based medical information collecting method may specifically include the contents described in the following steps S21 to S26.
And step S21, respectively carrying out medical information acquisition on the sample medical information through a plurality of medical information acquisition algorithms to obtain a plurality of corresponding acquired medical information.
Illustratively, the plurality of medical information collection algorithms represent ways of collecting medical information through manual collection, network collection, and the like.
Step S22, performing medical information correlation on the plurality of pieces of acquired medical information to obtain first correlated medical information.
Illustratively, the associated medical information represents related information matching preset medical information.
Step S23, performing content differentiation on the first associated medical information through a plurality of content differentiation algorithms, respectively, to obtain a plurality of corresponding content-differentiated medical information.
Illustratively, the plurality of content differentiated medical information may include patient name information, patient telephone information, patient address information, patient illness information, patient medication information, and the like.
Step S24, the content distinguishing algorithm and the medical information acquisition algorithm are in one-to-one correspondence; updating algorithm indexes of the content distinguishing algorithms based on the content distinguishing medical information and the missing information of the content distinguishing algorithms.
Illustratively, the algorithm indicator represents a relevant medical information acquisition criterion.
Step S25, performing content distinguishing on the first associated medical information through a target content distinguishing algorithm to obtain target medical information; the target content distinguishing algorithm is one of a plurality of content distinguishing algorithms after the algorithm index is updated.
Illustratively, the target medical information represents information content in the first associated medical information.
Step S26, updating the algorithm index of the target content discrimination algorithm based on the plurality of content discrimination medical information, the target medical information, and the missing information of the target content discrimination algorithm.
It is to be understood that, when the contents described in the above steps S21 to S26 are executed, the medical information acquisition is performed on the sample medical information through a plurality of medical information acquisition algorithms, the medical information association is performed on the acquired medical information, the first associated medical information is obtained, the content differentiation is performed on the first associated medical information, the content differentiation medical information is obtained, the algorithm index is updated based on the missing information of the content differentiation medical information and the content differentiation algorithm, the content differentiation is performed through the target content differentiation algorithm, the target medical information is obtained, and the algorithm index is updated based on the missing information of the content differentiation medical information, the target medical information, and the target content differentiation algorithm. In the process of acquiring the medical information, the condition of disorder of the relevant information exists, so that the algorithm index needs to be updated simultaneously through the content distinguishing medical information, the missing information of the content distinguishing algorithm, the content distinguishing medical information, the target medical information and the missing information of the target content distinguishing algorithm, and the accuracy of the acquired relevant information can be accurately ensured.
Based on the above, before the sample medical information is respectively subjected to medical information collection by a plurality of medical information collection algorithms, the method further includes the following steps a 1-A3.
Step A1, respectively performing medical information acquisition on the sample medical information through the plurality of medical information acquisition algorithms to obtain a plurality of corresponding first medical information.
Step a2, performing content differentiation on the plurality of first medical information respectively through the plurality of content differentiation algorithms to obtain a plurality of corresponding second medical information.
Step a3, updating the algorithm indexes of the plurality of medical information collection algorithms and the plurality of content distinguishing algorithms based on the plurality of second medical information and the missing information of the plurality of content distinguishing algorithms.
It can be understood that, when the contents described in the above steps a 1-A3 are executed, the missing condition of the related information is determined according to the plurality of first medical information and the plurality of second medical information, and the algorithm indexes of the plurality of medical information collection algorithms and the plurality of content distinguishing algorithms are updated in time, so that the condition that the related information is inaccurate due to the missing of the related information is effectively avoided.
In the actual operation process, the inventor finds that, when the second medical information and the missing information of the content distinguishing algorithms are based on the plurality of second medical information and the missing information of the content distinguishing algorithms, there is a problem that the second medical information and the missing information of the content distinguishing algorithms cannot be completely determined, so that the algorithm indexes of the plurality of medical information collection algorithms and the plurality of content distinguishing algorithms cannot be accurately updated, and in order to improve the above technical problem, the step of updating the algorithm indexes of the plurality of medical information collection algorithms and the plurality of content distinguishing algorithms based on the plurality of second medical information and the missing information of the plurality of content distinguishing algorithms, which is described in step A3, may specifically include the following steps a 31-a 33.
Step A31, determining a difference between the second medical information and the sample medical information.
A step a32 of determining a parameter of missing information of the content discrimination algorithm based on the discrimination; and when the parameter of the missing information reaches a first preset parameter, determining corresponding first missing information based on the missing information of the content distinguishing algorithm.
Step A33, feeding back the first missing information in the content distinguishing algorithm and the acquisition algorithm, and updating the algorithm indexes of the layers of the content distinguishing algorithm and the algorithm indexes of the layers of the acquisition algorithm in the feedback process.
It can be understood that, when the contents described in the above-mentioned steps a 31-a 33 are executed, based on the plurality of second medical information and the missing information of the plurality of content distinguishing algorithms, the problem that the second medical information and the missing information of the plurality of content distinguishing algorithms cannot be completely determined is avoided, so that the algorithm indexes of the plurality of medical information collection algorithms and the plurality of content distinguishing algorithms can be accurately updated.
In the actual operation process, the inventor finds that, when the content discrimination medical information and the missing information of the content discrimination algorithm are based on the content discrimination medical information and the missing information of the content discrimination algorithm, there is a problem that the content discrimination medical information and the missing information of the content discrimination algorithm are not accurate, so that it is difficult to accurately update the algorithm indexes of the content discrimination algorithms, and in order to improve the above technical problem, the step of updating the algorithm indexes of the content discrimination algorithms based on the content discrimination medical information and the missing information of the content discrimination algorithm, which is described in step S24, may specifically include the content described in the following step S241 to step S243.
Step S241, performing medical information association on the plurality of second medical information to obtain second associated medical information; determining a missing information parameter of the content discrimination algorithm based on the difference between the content discrimination medical information and the second associated medical information and the difference between the content discrimination medical information and the sample medical information.
Step S242, when the parameter of the missing information reaches a second preset parameter, determining corresponding second missing information based on the missing information of the content distinguishing algorithm.
Step S243, when the parameter of the missing information reaches a second preset parameter, determining corresponding second missing information based on the missing information of the content distinguishing algorithm.
It is understood that, when the contents described in the above steps S241 to S243 are executed, based on the plurality of content discrimination medical information and the missing information of the content discrimination algorithm, the problem that the plurality of content discrimination medical information and the missing information of the content discrimination algorithm are not accurate is avoided, so that the algorithm indexes of the plurality of content discrimination algorithms can be accurately updated.
In the actual operation process, the inventor finds that, when the medical information correlation is performed on the plurality of pieces of collected medical information, there is a problem that the correlation is not reliable, so that it is difficult to reliably obtain the first correlated medical information, and in order to improve the above technical problem, the step of performing the medical information correlation on the plurality of pieces of collected medical information to obtain the first correlated medical information described in step S22 may specifically include the content described in step S221 below.
Step S221, performing information correlation on the plurality of pieces of acquired medical information to obtain first correlated medical information.
It can be understood that, when performing the content described in the above step S221, when performing medical information association on the plurality of pieces of collected medical information, the problem of unreliable association is avoided, so that the first associated medical information can be reliably obtained.
In the actual operation process, the inventors found that, when the content-differentiated medical information, the target medical information, and the missing information of the target content-differentiated algorithm are based on the content-differentiated medical information, the target medical information, and the missing information of the target content-differentiated algorithm, there is a problem of information disturbance caused by an excessive amount of information, so that the algorithm index of the target content-differentiated algorithm cannot be accurately updated, and in order to improve the above technical problem, the step of updating the algorithm index of the target content-differentiated algorithm based on the content-differentiated medical information, the target medical information, and the missing information of the target content-differentiated algorithm described in step S26 may specifically include the contents described in the following step S261 to step S263.
Step S261, performing association processing on the plurality of content-differentiated medical information to obtain third associated medical information; determining a missing information parameter of the target content distinguishing algorithm based on the difference between the target medical information and the third relevant medical information and the difference between the target medical information and the sample medical information.
Step S262, when the parameter of the missing information reaches a third preset parameter, determining corresponding third missing information based on the missing information of the target content distinguishing algorithm.
In step S263, when the parameter of the missing information reaches a third preset parameter, determining corresponding third missing information based on the missing information of the target content distinguishing algorithm.
It can be understood that, when the contents described in steps S261 to S263 are executed, and the plurality of pieces of content-specific medical information, the target medical information, and the missing information of the target content-specific algorithm are based on the plurality of pieces of content-specific medical information, the problem of information disturbance due to an excessive amount of information is avoided, so that the algorithm index of the target content-specific algorithm can be accurately updated.
Based on the same inventive concept, please refer to fig. 3 in combination, a functional block diagram of the metadata-based medical information collecting apparatus 500 is also provided, and the detailed description about the metadata-based medical information collecting apparatus 500 is as follows.
The metadata-based medical information acquisition device 500 is applied to a terminal device, and the device 500 comprises:
the information acquisition module 510 is configured to perform medical information acquisition on the sample medical information respectively through a plurality of medical information acquisition algorithms to obtain a plurality of corresponding acquired medical information;
an information association module 520, configured to perform medical information association on the multiple pieces of acquired medical information to obtain first associated medical information;
an information distinguishing module 530, configured to distinguish, through a plurality of content distinguishing algorithms, content of the first associated medical information, respectively, so as to obtain a plurality of corresponding content distinguishing medical information;
the information updating module 540 is used for enabling the content distinguishing algorithm and the medical information acquisition algorithm to be in one-to-one correspondence; updating algorithm indexes of the content distinguishing algorithms based on the content distinguishing medical information and the missing information of the content distinguishing algorithms;
a content distinguishing module 550, configured to distinguish content of the first associated medical information by using a target content distinguishing algorithm, so as to obtain target medical information; the target content distinguishing algorithm is one of a plurality of content distinguishing algorithms after the algorithm index is updated;
a content updating module 560, configured to update the algorithm index of the target content distinguishing algorithm based on the plurality of content distinguishing medical information, the target medical information, and the missing information of the target content distinguishing algorithm.
A terminal device comprising a processor and a memory in communication with each other, the processor being configured to retrieve a computer program from the memory and to implement the method of any one of the above by running the computer program.
A computer-readable storage medium, having stored thereon a computer program which, when executed, implements the method of any of the above.
In summary, the metadata-based medical information collection method, system, device, and medium perform medical information collection on sample medical information through a plurality of medical information collection algorithms, perform medical information correlation on a plurality of collected medical information, perform content differentiation on first associated medical information, obtain a plurality of content-differentiated medical information, update algorithm indexes based on missing information of the plurality of content-differentiated medical information and content differentiation algorithms, perform content differentiation through a target content differentiation algorithm, obtain target medical information, and update algorithm indexes based on missing information of the plurality of content-differentiated medical information, target medical information, and target content differentiation algorithms. In the process of acquiring the medical information, the condition of disorder of the relevant information exists, so that the algorithm index needs to be updated simultaneously through the content distinguishing medical information, the missing information of the content distinguishing algorithm, the content distinguishing medical information, the target medical information and the missing information of the target content distinguishing algorithm, and the accuracy of the acquired relevant information can be accurately ensured.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. A method for metadata-based medical information collection, the method comprising:
respectively carrying out medical information acquisition on the sample medical information through a plurality of medical information acquisition algorithms to obtain a plurality of corresponding acquired medical information;
performing medical information association on the plurality of pieces of acquired medical information to obtain first associated medical information;
respectively carrying out content distinguishing on the first associated medical information through a plurality of content distinguishing algorithms to obtain a plurality of corresponding content distinguishing medical information;
the content distinguishing algorithm and the medical information acquisition algorithm are in one-to-one correspondence; updating algorithm indexes of the content distinguishing algorithms based on the content distinguishing medical information and the missing information of the content distinguishing algorithms;
performing content differentiation on the first associated medical information through a target content differentiation algorithm to obtain target medical information; the target content distinguishing algorithm is one of a plurality of content distinguishing algorithms after the algorithm index is updated;
updating an algorithm index of the target content distinguishing algorithm based on the plurality of content distinguishing medical information, the target medical information, and the missing information of the target content distinguishing algorithm.
2. The method of claim 1, wherein prior to the medical information acquisition of the sample medical information by the plurality of medical information acquisition algorithms, respectively, the method further comprises:
respectively carrying out medical information acquisition on the sample medical information through the plurality of medical information acquisition algorithms to obtain a plurality of corresponding first medical information;
respectively carrying out content distinguishing on the plurality of first medical information through the plurality of content distinguishing algorithms to obtain a plurality of corresponding second medical information;
updating the algorithm indexes of the plurality of medical information acquisition algorithms and the plurality of content distinguishing algorithms based on the plurality of second medical information and the missing information of the plurality of content distinguishing algorithms.
3. The method of claim 2, wherein updating the algorithm indicators of the plurality of medical information collection algorithms and the plurality of content differentiation algorithms based on missing information of the plurality of second medical information and the plurality of content differentiation algorithms comprises:
determining a difference between the second medical information and the sample medical information;
determining a missing information parameter of the content discrimination algorithm based on the discrimination; when the parameters of the missing information reach first preset parameters, determining corresponding first missing information based on the missing information of the content distinguishing algorithm;
and feeding back the first missing information in the content distinguishing algorithm and the acquisition algorithm, and updating the algorithm indexes of all layers of the content distinguishing algorithm and the algorithm indexes of all layers of the acquisition algorithm in the feedback process.
4. The method of claim 2, wherein updating the algorithm indicators of the plurality of content differentiation algorithms based on the plurality of content differentiation medical information and the missing information of the content differentiation algorithms comprises:
performing medical information association on the plurality of second medical information to obtain second associated medical information; determining a missing information parameter of the content discrimination algorithm based on the difference between the content discrimination medical information and the second associated medical information and the difference between the content discrimination medical information and the sample medical information;
when the parameters of the missing information reach second preset parameters, determining corresponding second missing information based on the missing information of the content distinguishing algorithm;
and feeding back the second missing information in the content distinguishing algorithm, and updating algorithm indexes of all layers of the content distinguishing algorithm in the feedback process.
5. The utility model provides a medical information collection system based on metadata which characterized in that, includes medical information collection equipment and data processing terminal, medical information collection equipment with data processing terminal communication connects, terminal equipment includes:
the information acquisition module is used for respectively acquiring medical information of the sample medical information through a plurality of medical information acquisition algorithms to obtain a plurality of corresponding acquired medical information;
the information association module is used for performing medical information association on the plurality of acquired medical information to obtain first associated medical information;
the information distinguishing module is used for distinguishing the content of the first associated medical information respectively through a plurality of content distinguishing algorithms to obtain a plurality of corresponding content distinguishing medical information;
the information updating module is used for enabling the content distinguishing algorithm and the medical information acquisition algorithm to be in one-to-one correspondence; updating algorithm indexes of the content distinguishing algorithms based on the content distinguishing medical information and the missing information of the content distinguishing algorithms;
the content distinguishing module is used for distinguishing the content of the first associated medical information through a target content distinguishing algorithm to obtain target medical information; the target content distinguishing algorithm is one of a plurality of content distinguishing algorithms after the algorithm index is updated;
and the content updating module is used for updating the algorithm index of the target content distinguishing algorithm based on the content distinguishing medical information, the target medical information and the missing information of the target content distinguishing algorithm.
6. The system of claim 5, wherein the terminal device comprises:
respectively carrying out medical information acquisition on the sample medical information through the plurality of medical information acquisition algorithms to obtain a plurality of corresponding first medical information;
respectively carrying out content distinguishing on the plurality of first medical information through the plurality of content distinguishing algorithms to obtain a plurality of corresponding second medical information;
updating the algorithm indexes of the plurality of medical information acquisition algorithms and the plurality of content distinguishing algorithms based on the plurality of second medical information and the missing information of the plurality of content distinguishing algorithms.
7. The system of claim 6, wherein the terminal device comprises:
determining a difference between the second medical information and the sample medical information;
determining a missing information parameter of the content discrimination algorithm based on the discrimination; when the parameters of the missing information reach first preset parameters, determining corresponding first missing information based on the missing information of the content distinguishing algorithm;
and feeding back the first missing information in the content distinguishing algorithm and the acquisition algorithm, and updating the algorithm indexes of all layers of the content distinguishing algorithm and the algorithm indexes of all layers of the acquisition algorithm in the feedback process.
8. The system of claim 6, wherein the terminal device comprises:
performing medical information association on the plurality of second medical information to obtain second associated medical information; determining a missing information parameter of the content discrimination algorithm based on the difference between the content discrimination medical information and the second associated medical information and the difference between the content discrimination medical information and the sample medical information;
when the parameters of the missing information reach second preset parameters, determining corresponding second missing information based on the missing information of the content distinguishing algorithm;
and feeding back the second missing information in the content distinguishing algorithm, and updating algorithm indexes of all layers of the content distinguishing algorithm in the feedback process.
9. A terminal device, comprising a processor and a memory communicating with each other, the processor being adapted to retrieve a computer program from the memory and to implement the method of any of claims 1-4 by running the computer program.
10. A computer-readable storage medium, on which a computer program is stored which, when executed, implements the method of any of claims 1-4.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113627165A (en) * | 2021-07-27 | 2021-11-09 | 上海德衡数据科技有限公司 | Bedside interaction method and system based on intelligent medical treatment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060239345A1 (en) * | 2002-09-20 | 2006-10-26 | David Taubman | Method of signalling motion information for efficient scalable video compression |
| CN109102897A (en) * | 2018-07-19 | 2018-12-28 | 贵州省人民医院 | A kind of Database and information retrieval method for disease big data |
| CN109559822A (en) * | 2018-11-12 | 2019-04-02 | 平安科技（深圳）有限公司 | Intelligent first visit method, apparatus, computer equipment and storage medium |
| CN111180085A (en) * | 2019-12-23 | 2020-05-19 | 中国人民解放军总医院 | Medical data processing method and device, storage medium and computer equipment |
| CN111430036A (en) * | 2020-03-23 | 2020-07-17 | 平安医疗健康管理股份有限公司 | Medical information identification method and device for abnormal operation behaviors |
| CN111710429A (en) * | 2020-05-29 | 2020-09-25 | 平安医疗健康管理股份有限公司 | Information pushing method and device, computer equipment and storage medium |
-
2021
- 2021-04-28 CN CN202110464582.9A patent/CN113077906B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060239345A1 (en) * | 2002-09-20 | 2006-10-26 | David Taubman | Method of signalling motion information for efficient scalable video compression |
| CN109102897A (en) * | 2018-07-19 | 2018-12-28 | 贵州省人民医院 | A kind of Database and information retrieval method for disease big data |
| CN109559822A (en) * | 2018-11-12 | 2019-04-02 | 平安科技（深圳）有限公司 | Intelligent first visit method, apparatus, computer equipment and storage medium |
| CN111180085A (en) * | 2019-12-23 | 2020-05-19 | 中国人民解放军总医院 | Medical data processing method and device, storage medium and computer equipment |
| CN111430036A (en) * | 2020-03-23 | 2020-07-17 | 平安医疗健康管理股份有限公司 | Medical information identification method and device for abnormal operation behaviors |
| CN111710429A (en) * | 2020-05-29 | 2020-09-25 | 平安医疗健康管理股份有限公司 | Information pushing method and device, computer equipment and storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113627165A (en) * | 2021-07-27 | 2021-11-09 | 上海德衡数据科技有限公司 | Bedside interaction method and system based on intelligent medical treatment |
| CN113627165B (en) * | 2021-07-27 | 2024-04-12 | 上海德衡数据科技有限公司 | Bedside interaction method and system based on intelligent medical treatment |
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Denomination of invention: Medical information collection methods, systems, devices, and media based on metadata Granted publication date: 20221213 Pledgee: China Construction Bank Corporation Shanghai Changning Branch Pledgor: SHANGHAI DATACENTER SCIENCE Co.,Ltd. Registration number: Y2024980022877 |
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