CN110706806A - Search box retrieval method for medical industry - Google Patents
Search box retrieval method for medical industry Download PDFInfo
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- CN110706806A CN110706806A CN201910834081.8A CN201910834081A CN110706806A CN 110706806 A CN110706806 A CN 110706806A CN 201910834081 A CN201910834081 A CN 201910834081A CN 110706806 A CN110706806 A CN 110706806A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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Abstract
The invention discloses a search box retrieval method for the medical industry, which specifically comprises the following steps: s1, firstly, the user interacts with the whole medical system through the user interaction terminal, logs in the system through the user information login module, then authenticates the identity through the user identity authentication module, and after the authentication is successful, the user can operate through the user operation module. The search box retrieval method for the medical industry can realize rapid and accurate online appointment registration, well achieves the purpose that a user can conveniently and rapidly retrieve outpatient services or doctors to be registered by increasing an online consultation function while carrying out intelligent screening retrieval on the network, rapidly locks disease types and analyzes registration in advance, greatly improves retrieval accuracy, and does not need the user to spend a large amount of time on screening and selecting outpatient services and doctors of the required registration types.
Description
Technical Field
The invention relates to the technical field of network data processing, in particular to a search box retrieval method for the medical industry.
Background
With the increase of social demands, the medical industry is continuously developed and developed, the relative competition is also fierce, the worm is a place which is very worthy of popularization in terms of market conditions of the worm, at present, netizens in China are increasingly increased, at present, netizens are fond of searching online when encountering problems, so the value brought by the information of the network is more worthy of the attention of each industry, the medical industry is more greatly enhanced to carry out network popularization, and in the medical industry, because the adjustment frequency of search engine authorities is higher, bidding is considered firstly, the bidding is also higher in relative cost, but brought customers are also objective, certainly, the most critical bidding is keywords and originality, and generally, people can choose to popularize hundreds of degrees firstly.
When a traditional patient visits a doctor, the doctor who visits the patient is often unknown, and the diagnosis of the disease which each doctor is good at is also unknown, so that the resources of the doctor are not fully utilized, and the efficiency is low.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a search box retrieval method for the medical industry, which solves the problems that the existing disease condition is analyzed and registered in advance, the accuracy is low, a user needs to spend a large amount of time on screening and selecting the outpatient service and the doctor of the required registration type, the on-line appointment registration can not be quickly and accurately carried out, and the purpose that the user can quickly retrieve the outpatient service or the doctor to be registered by increasing the on-line consultation function while carrying out intelligent screening and retrieval on the network can not be achieved.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a search box retrieval method for medical industry specifically comprises the following steps:
s1, firstly, a user interacts with the whole medical system through a user interaction terminal, logs in the system through a user information login module, then performs identity authentication through a user identity authentication module, and after the authentication is successful, the user can operate through a user operation module;
s2, selecting the disease type by the disease type checking module, inputting the disease condition into the system by the disease statement editing module, and controlling the character conversion module by the system background server to convert the disease symptom characters input by the user into digital data for processing;
s3, the system background server controls an entry feature data extraction module in the disease entry identification unit to extract entry features from the text data information converted in the step S2, then the diagnosis data features are extracted from the medical diagnosis database module through the diagnosis database feature extraction module, then the disease feature participle comparison module compares the extracted entries with the diagnosis data, and then the extracted entries and the diagnosis data are analyzed and processed through a comparison result analysis module;
s4, the system background server controls the retrieval result display module to display the retrieval comparison analysis result in the step S3 for the user to select, and if the user is confused about the doctor to be selected, the system background server can control the medical online consultation unit to perform online consultation treatment;
s5, extracting the disease retrieval information of the consultation user by a user disease information extraction module in the medical online consultation unit, then carrying out random classification processing on background workers by a consultation personnel allocation module, consulting the background workers and the user by the online consultation module, and sending the consultation result to a retrieval result display module for display by the consultation suggestion issuing module after the consultation is finished;
s6, after the user selects the step S5, the system background server can inform the doctor interaction terminal of the selected doctor through the wireless local area network communication module to complete the appointment.
Preferably, in step S1, the user interaction terminal includes a user information login module, a user identity authentication module, and a user operation module, wherein an output end of the user information login module is connected to an input end of the user identity authentication module, and an output end of the user identity authentication module is connected to an input end of the user operation module.
Preferably, the system backend server in step S2 is respectively connected to the disease type selection module, the disease statement editing module, and the text conversion module in a bidirectional manner.
Preferably, the disease condition entry identification unit in step S3 includes an entry feature data extraction module, a diagnosis database feature extraction module, a disease condition feature segmentation comparison module, and a comparison result analysis module, and an output end of the entry feature data extraction module is connected to an input end of the diagnosis database feature extraction module.
Preferably, the output end of the diagnosis database feature extraction module is connected with the input end of the disease feature word segmentation comparison module, and the output end of the disease feature word segmentation comparison module is connected with the input end of the comparison result analysis module.
Preferably, the medical online consultation unit in the step S5 includes a user condition information extraction module, a consultant allocation module, an online consultation module, and a consultation suggestion distribution module, and an output end of the user condition information extraction module is connected with an input end of the consultant allocation module.
Preferably, the output end of the counselor distribution module is connected with the input end of the online counseling module, and the output end of the online counseling module is connected with the input end of the counseling suggestion issuing module.
(III) advantageous effects
The invention provides a search box retrieval method for the medical industry. Compared with the prior art, the method has the following beneficial effects: the search box retrieval method for the medical industry specifically comprises the following steps: s1, firstly, the user interacts with the whole medical system through the user interaction terminal, logs in the system through the user information login module, then authenticates the identity through the user identity authentication module, after the authentication is successful, the user can operate through the user operation module, S2, the user can select the disease type through the disease type checking module, then the disease condition is input into the system through the disease statement editing module, then the system background server controls the character conversion module to convert the disease symptom characters input by the user into digital data for processing, S3, then the system background server controls the vocabulary entry characteristic data extraction module in the disease vocabulary entry identification unit to extract the vocabulary entry characteristics from the character data information converted in the step S2, and then the diagnosis data characteristics are extracted from the medical diagnosis database module through the diagnosis database characteristic extraction module, s4, the system background server will control the search result display module to display the search result of S3 for the user to choose, if the user is confused about the doctor to be selected, the system background server can control the medical online consultation unit to perform online consultation, S5, the user disease information extraction module in the medical online consultation unit extracts the disease search information of the consultation user, then the consultant distribution module performs random classification processing of background staff, S6, after the user selects S5, the system background server can inform the selected doctor interaction terminal through the wireless local area network communication module to complete the appointment, can realize the online appointment register quickly and accurately, and well achieve the purpose of increasing the online consultation function while performing intelligent search on the network, the purpose that the user can quickly search the outpatient service or doctor to be registered is achieved, the disease types are quickly locked, the registration is analyzed in advance, the retrieval accuracy is greatly improved, the user does not need to spend a large amount of time for screening and selecting the outpatient service and doctor of the required registration types, and therefore the online registration and treatment of the user are greatly facilitated.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic block diagram of the structure of a disease entry recognition unit according to the present invention;
fig. 3 is a structural schematic block diagram of the medical online consultation unit of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, an embodiment of the present invention provides a technical solution: a search box retrieval method for medical industry specifically comprises the following steps:
s1, firstly, a user interacts with the whole medical system through a user interaction terminal, logs in the system through a user information login module, then performs identity authentication through a user identity authentication module, and after the authentication is successful, the user can operate through a user operation module;
s2, selecting the disease type by the disease type checking module, inputting the disease condition into the system by the disease statement editing module, and controlling the character conversion module by the system background server to convert the disease symptom characters input by the user into digital data for processing;
s3, the system background server controls an entry feature data extraction module in the disease entry identification unit to extract entry features from the text data information converted in the step S2, then the diagnosis data features are extracted from the medical diagnosis database module through the diagnosis database feature extraction module, then the disease feature participle comparison module compares the extracted entries with the diagnosis data, and then the extracted entries and the diagnosis data are analyzed and processed through a comparison result analysis module;
s4, the system background server controls the retrieval result display module to display the retrieval comparison analysis result in the step S3 for the user to select, and if the user is confused about the doctor to be selected, the system background server can control the medical online consultation unit to perform online consultation treatment;
s5, extracting the disease retrieval information of the consultation user by a user disease information extraction module in the medical online consultation unit, then carrying out random classification processing on background workers by a consultation personnel allocation module, consulting the background workers and the user by the online consultation module, and sending the consultation result to a retrieval result display module for display by the consultation suggestion issuing module after the consultation is finished;
s6, after the user selects the step S5, the system background server can inform the doctor interaction terminal of the selected doctor through the wireless local area network communication module to complete the appointment.
In the present invention, the user interaction terminal in step S1 includes a user information login module, a user identity authentication module, and a user operation module, wherein an output end of the user information login module is connected to an input end of the user identity authentication module, and an output end of the user identity authentication module is connected to an input end of the user operation module.
In the invention, the system background server in the step S2 is respectively connected with the disease type checking module, the disease statement editing module and the character conversion module in a bidirectional way.
In the present invention, the disease condition entry identification unit in step S3 includes an entry feature data extraction module, a diagnosis database feature extraction module, a disease condition feature segmentation comparison module, and a comparison result analysis module, wherein an output end of the entry feature data extraction module is connected to an input end of the diagnosis database feature extraction module, an output end of the diagnosis database feature extraction module is connected to an input end of the disease condition feature segmentation comparison module, and an output end of the disease condition feature segmentation comparison module is connected to an input end of the comparison result analysis module.
In the present invention, the online consulting unit for medical treatment in step S5 includes a user condition information extracting module, a consulting staff allocating module, an online consulting module, and a consulting suggestion issuing module, wherein an output end of the user condition information extracting module is connected to an input end of the consulting staff allocating module, an output end of the consulting staff allocating module is connected to an input end of the online consulting module, and an output end of the online consulting module is connected to an input end of the consulting suggestion issuing module.
To sum up the above
The invention can realize rapid and accurate online appointment registration, well achieves the aim of facilitating the user to rapidly search the outpatient service or doctor to be registered by increasing the online consultation function while carrying out intelligent screening and searching on the network, rapidly locks the disease types and analyzes the registration in advance, greatly improves the accuracy of the search, does not need the user to spend a large amount of time on screening and selecting the outpatient service and doctor of the required registration types, and greatly facilitates the online registration and treatment of the user.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A search box retrieval method for medical industry is characterized by comprising the following steps: the method specifically comprises the following steps:
s1, firstly, a user interacts with the whole medical system through a user interaction terminal, logs in the system through a user information login module, then performs identity authentication through a user identity authentication module, and after the authentication is successful, the user can operate through a user operation module;
s2, selecting the disease type by the disease type checking module, inputting the disease condition into the system by the disease statement editing module, and controlling the character conversion module by the system background server to convert the disease symptom characters input by the user into digital data for processing;
s3, the system background server controls an entry feature data extraction module in the disease entry identification unit to extract entry features from the text data information converted in the step S2, then the diagnosis data features are extracted from the medical diagnosis database module through the diagnosis database feature extraction module, then the disease feature participle comparison module compares the extracted entries with the diagnosis data, and then the extracted entries and the diagnosis data are analyzed and processed through a comparison result analysis module;
s4, the system background server controls the retrieval result display module to display the retrieval comparison analysis result in the step S3 for the user to select, and if the user is confused about the doctor to be selected, the system background server can control the medical online consultation unit to perform online consultation treatment;
s5, extracting the disease retrieval information of the consultation user by a user disease information extraction module in the medical online consultation unit, then carrying out random classification processing on background workers by a consultation personnel allocation module, consulting the background workers and the user by the online consultation module, and sending the consultation result to a retrieval result display module for display by the consultation suggestion issuing module after the consultation is finished;
s6, after the user selects the step S5, the system background server can inform the doctor interaction terminal of the selected doctor through the wireless local area network communication module to complete the appointment.
2. The method for retrieving the search box in the medical industry according to claim 1, wherein: in step S1, the user interaction terminal includes a user information login module, a user identity authentication module, and a user operation module, wherein an output end of the user information login module is connected to an input end of the user identity authentication module, and an output end of the user identity authentication module is connected to an input end of the user operation module.
3. The method for retrieving the search box in the medical industry according to claim 1, wherein: in the step S2, the system backend server is respectively connected with the disease type selection module, the disease statement editing module and the text conversion module in a bidirectional manner.
4. The method for retrieving the search box in the medical industry according to claim 1, wherein: the disease condition entry identification unit in the step S3 includes an entry feature data extraction module, a diagnosis database feature extraction module, a disease condition feature segmentation comparison module, and a comparison result analysis module, and an output end of the entry feature data extraction module is connected to an input end of the diagnosis database feature extraction module.
5. The method for retrieving the search box in the medical industry according to claim 4, wherein: the output end of the diagnosis database feature extraction module is connected with the input end of the disease feature word segmentation comparison module, and the output end of the disease feature word segmentation comparison module is connected with the input end of the comparison result analysis module.
6. The method for retrieving the search box in the medical industry according to claim 1, wherein: the medical online consultation unit in the step S5 comprises a user disease information extraction module, a consultant distribution module, an online consultation module and a consultation suggestion issuing module, wherein the output end of the user disease information extraction module is connected with the input end of the consultant distribution module.
7. The method for retrieving the search box in the medical industry according to claim 6, wherein: the output end of the counselor distribution module is connected with the input end of the online counseling module, and the output end of the online counseling module is connected with the input end of the counseling suggestion issuing module.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112102954A (en) * | 2020-09-02 | 2020-12-18 | 南京江北新区科技投资集团有限公司 | Big data analysis cloud platform system capable of providing intelligent medical service |
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Patent Citations (4)
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| CN102331999A (en) * | 2011-07-22 | 2012-01-25 | 大连亿创天地科技发展有限公司 | Search box searching method and system for medical industry |
| CN104200069A (en) * | 2014-08-13 | 2014-12-10 | 周晋 | Drug use recommendation system and method based on symptom analysis and machine learning |
| CN107403067A (en) * | 2017-07-31 | 2017-11-28 | 京东方科技集团股份有限公司 | Intelligence based on medical knowledge base point examines server, terminal and system |
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