CN111128374A - Health consultation system - Google Patents
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- CN111128374A CN111128374A CN201911353566.1A CN201911353566A CN111128374A CN 111128374 A CN111128374 A CN 111128374A CN 201911353566 A CN201911353566 A CN 201911353566A CN 111128374 A CN111128374 A CN 111128374A
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- 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
- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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Abstract
The invention discloses a health consultation system, which adopts a mode of combining a computer and a human, firstly, the system can automatically search corresponding consultation cases in a database, find corresponding answers and feed the answers back to a consultant, thereby quickly achieving the purpose of consultation, when no corresponding case exists in the database, the system can record the questions consulted by the consultant, then the questions are transmitted to health experts of corresponding categories according to the categories of the questions and are answered by the experts, the system has no redundant ports, ensures the accuracy of consultation, avoids dregs on the network, can store the consultation questions of the consultant and the answers of the corresponding experts, thereby continuously expanding the database, having the same consultation after the day, quickly reacting the database and feeding back the answers of the experts, not only greatly improving the consultation efficiency, but also avoiding the problem of case limitation of the database, the consultation end and the expert end can be connected with the mobile phone, so that the convenience of consultation is greatly improved.
Description
Technical Field
The invention belongs to the field of consultation systems, and particularly relates to a health consultation system.
Background
With the development of the network technology and the arrival of the era of big data analysis, users can easily consult health problems with a health consultation system through a network path, generally only relevant health parameter data needs to be input into the health consultation system, the system gives suggested health opinions to the users through data comparison and analysis, and the users can fully know the health problems, but most of the existing health consultations are consulted computers, the data of the computers are fixed or slightly changed, when people inquire the health consultations, the computers cannot make judgments just like people, and only corresponding cases can be searched in a database, so that the functions of answering personnel consultation cannot be effectively played, and with the progress of the computer technology, people can be connected with the internet at any time and any place, therefore, the invention provides a health consultation system, the system adopts a mode of combining a computer and a worker, consults the system through a consultant, automatically searches corresponding cases in a database, and thus quickly achieves the purpose of consultation.
Disclosure of Invention
The invention aims to provide a health consultation system.
The purpose of the invention can be realized by the following technical scheme:
a health consultation system comprises a user client module, a user information processing module, a pairing module, an expert information processing module, an expert client module and a consultation result classification storage module, wherein the user client module is bidirectionally connected with the user information processing module, the user information processing module is unidirectionally connected with the pairing module, the pairing module is unidirectionally connected with the expert client module, the expert client module is unidirectionally connected with the expert information processing module and the consultation result classification storage module respectively, the expert information processing module is unidirectionally connected with the pairing module, and the consultation result classification storage module is unidirectionally connected with the user information processing module;
the user client module is used for the health consultant to input the self health condition and consult the self health state;
the user information processing module is used for binding self health conditions input by the user client module with the user, classifying and summarizing the health problems, retrieving from the consultation result classification storage module according to the health problems, transmitting the retrieval result to the user client module, and packaging and transmitting the data to the pairing module when no retrieval result exists;
the matching module is used for matching the user health problems with corresponding health experts according to different problems and sending the problems to the corresponding expert client modules;
the expert client module is used for the health expert to input field data which is good for the health problem per se, answer the user health problem sent by the pairing module and transmit an answer result to the consultation result classification storage module;
the expert information processing module is used for binding the domain data of the health experts which are input through the expert client module and are good for the health problems with the experts, classifying and summarizing the experts in different health domains, and then transmitting the information to the pairing module;
the consultation result classification storage module is used for packaging and classifying different health problems and consultation conditions corresponding to the different health problems, storing the consultation conditions and simultaneously used for the user information processing module to retrieve.
Further, the user client module and the expert client module include, but are not limited to, a computer and a mobile phone.
Further, the working steps of the user client module are as follows:
the method comprises the following steps: recording a first consulting client as A1, a second consulting client as A2, and then recording each consulting client as Qq, wherein Q is A-Z, and Q is 1-99;
s1, the value of Qq refers to the value of the previous value q;
s2.99, if the result of subtracting the Q of the previous value is greater than 0, then Qq is Qy, Q is the Q of the previous value, and y is Q +1 of the previous value;
s3.99 minus the previous value Q equals 0, then Qq takes (Q +1)1, Q +1 is the previous value Q takes one bit backward.
Step two: recording a first question consulted by the first consulting client as A1A1, a second question consulted by the first consulting client as A1a2, and an Nth question consulted by the first consulting client as A1 aN;
step three: recording a first question consulted by the second consulting client as A2a1, a second question consulted by the second consulting client as A2A2, and an Nth question consulted by the second consulting client as A2 aN;
step four: recording the Nth question consulted by each consultation client as QqaN;
step five: combining the questions consulted by the first consultant client into a data packet denoted as WA1, combining the questions consulted by the second consultant client into a data packet denoted as WA2, and combining the questions consulted by each of the same consultant clients into a data packet denoted as WQq;
step six: the WA1, WA2 and WQq data are imported into the user information processing module.
Further, the user information processing module comprises an information input module, a health problem processing module and a retrieval processing module, wherein the information input module is connected with the health problem processing module in a one-way mode, the health problem processing module is connected with the retrieval processing module in a one-way mode, and the retrieval processing module is connected with the information input module in a two-way mode;
the information input module is used for receiving information transmitted by the user client and the consultation result classification storage module and transmitting the information to the health problem processing module and the retrieval processing module;
the health problem processing module is used for analyzing the information transmitted by the classified information input module, distinguishing the information according to different health fields and then transmitting the distinguished information to the retrieval processing module;
the retrieval processing module is used for comparing the information transmitted by the health problem processing module with the problem information retrieved from the consultation result classification storage module and transmitting the information to the corresponding module according to the retrieval result.
Further, the health problem processing module specifically comprises the following working steps:
the method comprises the following steps: classifying the health problems according to departments of the existing hospital;
step two: classifying WA1, WA2, and WQq data against health issue classifications;
step three: taking the different types of health problems in WA1 as a data packet as JKA1, taking the different types of health problems in WA2 as a data packet as JKA2, and taking the different types of health problems in WQq as a data packet as JKQq;
step four: JKA1, JKA2, and JKQq are imported into the search processing module.
Further, the search processing module specifically comprises the following working steps:
the method comprises the following steps: the problems in the JKA1, JKA2 and JKQq data packets are retrieved in the consultation result classification storage module;
step two: retrieving corresponding problems from the JKA1, JKA2 and JKQq data packets in the consultation result classification storage module, transmitting the processing mode and the results of the corresponding problems retrieved from the consultation result classification storage module to the user client module, and repacking the rest problems of the corresponding problems which are not retrieved from the classification storage module in the JKA1, JKA2 and JKQq data packets into JSA1, JSA2 and JSQ;
step three: the JSA1, JSA2, and JSQq data are imported into the pairing module.
Further, the pairing module specifically comprises the following working steps:
the method comprises the following steps: the problems in the JSA1, JSA2 and JSQq data packets are classified into different category groups according to corresponding categories;
step two: searching the experts corresponding to the category groups;
step three: and respectively sending the problems in the JSA1, the JSA2 and the JSQq data packet to expert customer service terminals of the corresponding class experts according to the classification of the class groups.
Further, the work of the expert customer service end specifically comprises: and solving the questions of the corresponding categories in the JSA1, JSA2 and JSQq data packets, and packaging the solved contents together with the questions and sending the packaged contents to the consultation result classification storage module.
Further, the consulting result classification storage module specifically works as follows: and storing the data sent by the expert customer service end, and sending the data sent by the expert customer service end to the corresponding A1, A2 and Qq user client modules according to the JSA1, JSA2 and JSQq data packet addresses.
The invention has the beneficial effects that: the invention provides a health consultation system, which adopts a mode of combining a computer and a human, consults the system through a consultant, automatically searches corresponding cases in a database, finds corresponding answers through the cases, and feeds the answers back to the consultant, thereby quickly achieving the consultation purpose, when no corresponding case exists in the database, the system records the questions consulted by the consultant, then classifies the questions, then transmits the questions to corresponding types of health experts at the other end according to the consultation question types, answers the questions through the experts, thereby completing the consultation, the system of the invention is provided with two ports, one is an expert end, the other is a consultation end, and has no redundant port, thereby ensuring the consultation accuracy, avoiding dregs on the network, the system can store the consultant questions of the consultant and the answers of the corresponding experts, thereby continuously expanding the database, the same consultation is carried out in the future, the database can quickly respond and feed back the answers of the experts, the consultation efficiency is greatly improved, the problem of limitation of database cases is avoided, and the consultation end and the expert end can be connected with the mobile phone, so that the convenience of consultation is greatly improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a general system block diagram of the present invention;
FIG. 2 is a block diagram of the user information processing module according to the present invention.
Detailed Description
Referring to fig. 1-2, a health consultation system includes a user client module, a user information processing module, a pairing module, an expert information processing module, an expert client module, and a consultation result classification storage module, wherein the user client module is connected with the user information processing module in a bidirectional manner, the user information processing module is connected with the pairing module in a unidirectional manner, the pairing module is connected with the expert client module in a unidirectional manner, the expert client module is respectively connected with the expert information processing module and the consultation result classification storage module in a unidirectional manner, the expert information processing module is connected with the pairing module in a unidirectional manner, and the consultation result classification storage module is connected with the user information processing module in a unidirectional manner.
The user client module is used for the health consultant to input the self health condition and consult the self health state.
The user information processing module is used for binding self health conditions input through the user client module with the user, classifying and summarizing the health problems, retrieving from the consultation result classification storage module according to the health problems, transmitting the retrieval result to the user client module, and packaging and transmitting the data to the pairing module when no retrieval result exists.
The matching module is used for matching the user health problems with corresponding health experts according to different problems and sending the problems to the corresponding expert client modules.
The expert client module is used for the health experts to input field data which are good for the health problems, answer the user health problems sent by the pairing module and transmit the answer results to the consultation result classification storage module.
The expert information processing module is used for binding the domain data of the health experts which are good for the health problems and input through the expert client module with the experts, classifying and summarizing the experts in different health domains, and then transmitting the information to the pairing module.
And the consultation result classification storage module is used for packaging and classifying different health problems and consultation conditions corresponding to the different health problems, storing the consultation conditions and simultaneously used for the user information processing module to retrieve.
The user client module and the expert client module include but are not limited to computers and mobile phones.
The working steps of the user client module are as follows:
the method comprises the following steps: the first consultant client is designated as A1, the second consultant client is designated as A2, and thereafter each consultant client is designated as Qq, Q is taken as A-Z, and Q is taken as 1-99.
And S1. the value of Qq refers to the value of q which is worth before.
S2.99, the result of subtracting Q from the previous value is greater than 0, then Qq is Qy, Q is Q of the previous value, and y is Q +1 of the previous value.
S3.99 minus the previous value Q equals 0, then Qq takes (Q +1)1, Q +1 is the previous value Q takes one bit backward.
Step two: a first question to be consulted by the first consulting client is denoted as A1A1, a second question to be consulted by the first consulting client is denoted as A1a2, and an nth question to be consulted by the first consulting client is denoted as A1 aN.
Step three: the first question of the second counsel client's consultation is designated as A2a1, the second question of the second counsel client's consultation is designated as A2A2, and the nth question of the second counsel client's consultation is designated as A2 aN.
Step four: the nth question to be consulted by each consulting client later is denoted as QqaN.
Step five: the question consulted by the first consultant client is combined into a data packet designated WA1, the question consulted by the second consultant client is combined into a data packet designated WA2, and the question consulted by each of the same consultant clients is combined into a data packet designated WQq.
Step six: the WA1, WA2 and WQq data are imported into the user information processing module.
The user information processing module comprises an information input module, a health problem processing module and a retrieval processing module, the information input module is connected with the health problem processing module in a one-way mode, the health problem processing module is connected with the retrieval processing module in a one-way mode, and the retrieval processing module is connected with the information input module in a two-way mode.
The information input module is used for receiving the information transmitted by the user client and the consultation result classification storage module and transmitting the information to the health problem processing module and the retrieval processing module.
The health problem processing module is used for analyzing the information transmitted by the classified information input module, distinguishing the information according to different health fields, and then transmitting the distinguished information to the retrieval processing module.
The retrieval processing module is used for comparing the information transmitted by the health problem processing module with the problem information retrieved from the consultation result classification storage module and transmitting the information to the corresponding module according to the retrieval result.
The health problem processing module comprises the following specific working steps:
the method comprises the following steps: the health problems are classified according to the departments of the existing hospital.
Step two: WA1, WA2, and WQq data were classified against the health issue classification.
Step three: the different categories of health issues in WA1 are denoted as JKA1 as a data packet, the different categories of health issues in WA2 are denoted as JKA2 as a data packet, and the different categories of health issues in WQq are denoted as JKQq as a data packet.
Step four: JKA1, JKA2, and JKQq are imported into the search processing module.
The search processing module specifically comprises the following working steps:
the method comprises the following steps: the problems in the JKA1, JKA2 and JKQq data packets are retrieved in the consulting result classification storage module.
Step two: and retrieving corresponding problems in the JKA1, JKA2 and JKQq data packets from the consultation result classification storage module, transmitting the processing mode and the result of the corresponding problems retrieved from the consultation result classification storage module to the user client module, and repacking the rest problems, which are not retrieved from the classification storage module, in the JKA1, the JKA2 and the JKQq data packets and are corresponding to the problems, into JSA1, JSA2 and JSQq.
Step three: the JSA1, JSA2, and JSQq data are imported into the pairing module.
The pairing module specifically comprises the following working steps:
the method comprises the following steps: and the problems in the JSA1, JSA2 and JSQq data packets are classified into different category groups according to corresponding categories respectively.
Step two: the experts corresponding to the category groups will be retrieved.
Step three: and respectively sending the problems in the JSA1, the JSA2 and the JSQq data packet to expert customer service terminals of the corresponding class experts according to the classification of the class groups.
The work of the expert customer service end specifically lies in: and solving the questions of the corresponding categories in the JSA1, JSA2 and JSQq data packets, and packaging the solved contents together with the questions and sending the packaged contents to the consultation result classification storage module.
The consulting result classification storage module specifically works as follows: and storing the data sent by the expert customer service end, and sending the data sent by the expert customer service end to the corresponding A1, A2 and Qq user client modules according to the JSA1, JSA2 and JSQq data packet addresses.
The invention provides a health consultation system, which adopts a mode of combining a computer and a human, consults the system through a consultant, automatically searches corresponding cases in a database, finds corresponding answers through the cases, and feeds the answers back to the consultant, thereby quickly achieving the consultation purpose, when no corresponding case exists in the database, the system records the questions consulted by the consultant, then classifies the questions, transmits the questions to corresponding types of health experts at the other end according to the categories of the consulted questions, answers the questions through the experts, thereby completing the consultation, the system of the invention is provided with two ports, one is an expert end, the other is a consultation end, and has no redundant port, thereby ensuring the accuracy of the consultation, avoiding dregs on the network, the system can store the consultant questions and the answers of the corresponding experts, thereby continuously expanding the database, the same consultation is carried out in the future, the database can quickly respond and feed back the answers of the experts, the consultation efficiency is greatly improved, the problem of limitation of database cases is avoided, and the consultation end and the expert end can be connected with the mobile phone, so that the convenience of consultation is greatly improved.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. A health consultation system comprises a user client module, a user information processing module, a pairing module, an expert information processing module, an expert client module and a consultation result classification storage module, and is characterized in that the user client module is bidirectionally connected with the user information processing module, the user information processing module is unidirectionally connected with the pairing module, the pairing module is unidirectionally connected with the expert client module, the expert client module is unidirectionally connected with the expert information processing module and the consultation result classification storage module respectively, the expert information processing module is unidirectionally connected with the pairing module, and the consultation result classification storage module is unidirectionally connected with the user information processing module;
the user client module is used for the health consultant to input the self health condition and consult the self health state;
the user information processing module is used for binding self health conditions input by the user client module with the user, classifying and summarizing the health problems, retrieving from the consultation result classification storage module according to the health problems, transmitting the retrieval result to the user client module, and packaging and transmitting the data to the pairing module when no retrieval result exists;
the matching module is used for matching the user health problems with corresponding health experts according to different problems and sending the problems to the corresponding expert client modules;
the expert client module is used for the health expert to input field data which is good for the health problem per se, answer the user health problem sent by the pairing module and transmit an answer result to the consultation result classification storage module;
the expert information processing module is used for binding the domain data of the health experts which are input through the expert client module and are good for the health problems with the experts, classifying and summarizing the experts in different health domains, and then transmitting the information to the pairing module;
the consultation result classification storage module is used for packaging and classifying different health problems and consultation conditions corresponding to the different health problems, storing the consultation conditions and simultaneously used for the user information processing module to retrieve.
2. The health advice system defined in claim 1, wherein the user client module and the expert client module include but are not limited to computers and cell phones.
3. The health advice system defined in claim 1, wherein the user client module specifically comprises the following steps:
the method comprises the following steps: recording a first consulting client as A1, a second consulting client as A2, and then recording each consulting client as Qq, wherein Q is A-Z, and Q is 1-99;
s1, the value of Qq refers to the value of the previous value q;
s2.99, if the result of subtracting the Q of the previous value is greater than 0, then Qq is Qy, Q is the Q of the previous value, and y is Q +1 of the previous value;
s3.99 minus the previous value Q equals 0, then Qq takes (Q +1)1, Q +1 is the previous value Q takes one bit backward.
Step two: recording a first question consulted by the first consulting client as A1A1, a second question consulted by the first consulting client as A1a2, and an Nth question consulted by the first consulting client as A1 aN;
step three: recording a first question consulted by the second consulting client as A2a1, a second question consulted by the second consulting client as A2A2, and an Nth question consulted by the second consulting client as A2 aN;
step four: recording the Nth question consulted by each consultation client as QqaN;
step five: combining the questions consulted by the first consultant client into a data packet denoted as WA1, combining the questions consulted by the second consultant client into a data packet denoted as WA2, and combining the questions consulted by each of the same consultant clients into a data packet denoted as WQq;
step six: the WA1, WA2 and WQq data are imported into the user information processing module.
4. The health consultation system of claim 1, wherein the user information processing module comprises an information input module, a health problem processing module and a search processing module, the information input module is unidirectionally connected to the health problem processing module, the health problem processing module is unidirectionally connected to the search processing module, and the search processing module is bidirectionally connected to the information input module;
the information input module is used for receiving information transmitted by the user client and the consultation result classification storage module and transmitting the information to the health problem processing module and the retrieval processing module;
the health problem processing module is used for analyzing the information transmitted by the classified information input module, distinguishing the information according to different health fields and then transmitting the distinguished information to the retrieval processing module;
the retrieval processing module is used for comparing the information transmitted by the health problem processing module with the problem information retrieved from the consultation result classification storage module and transmitting the information to the corresponding module according to the retrieval result.
5. The health advice system defined in claim 4, wherein the health issue processing module is configured to perform the following specific steps:
the method comprises the following steps: classifying the health problems according to departments of the existing hospital;
step two: classifying WA1, WA2, and WQq data against health issue classifications;
step three: taking the different types of health problems in WA1 as a data packet as JKA1, taking the different types of health problems in WA2 as a data packet as JKA2, and taking the different types of health problems in WQq as a data packet as JKQq;
step four: JKA1, JKA2, and JKQq are imported into the search processing module.
6. The health advice system defined in claim 4, wherein the search processing module specifically comprises the following steps:
the method comprises the following steps: the problems in the JKA1, JKA2 and JKQq data packets are retrieved in the consultation result classification storage module;
step two: retrieving corresponding problems from the JKA1, JKA2 and JKQq data packets in the consultation result classification storage module, transmitting the processing mode and the results of the corresponding problems retrieved from the consultation result classification storage module to the user client module, and repacking the rest problems of the corresponding problems which are not retrieved from the classification storage module in the JKA1, JKA2 and JKQq data packets into JSA1, JSA2 and JSQ;
step three: the JSA1, JSA2, and JSQq data are imported into the pairing module.
7. The health advice system defined in claim 1, wherein the pairing module comprises the following specific steps:
the method comprises the following steps: the problems in the JSA1, JSA2 and JSQq data packets are classified into different category groups according to corresponding categories;
step two: searching the experts corresponding to the category groups;
step three: and respectively sending the problems in the JSA1, the JSA2 and the JSQq data packet to expert customer service terminals of the corresponding class experts according to the classification of the class groups.
8. The health advice system defined in claim 1, wherein the expert customer service provider is specifically configured to: and solving the questions of the corresponding categories in the JSA1, JSA2 and JSQq data packets, and packaging the solved contents together with the questions and sending the packaged contents to the consultation result classification storage module.
9. The health advice system defined in claim 1, wherein the advice result classification storing means is specifically configured to: and storing the data sent by the expert customer service end, and sending the data sent by the expert customer service end to the corresponding A1, A2 and Qq user client modules according to the JSA1, JSA2 and JSQq data packet addresses.
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| CN201911353566.1A CN111128374A (en) | 2019-12-25 | 2019-12-25 | Health consultation system |
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| CN201911353566.1A CN111128374A (en) | 2019-12-25 | 2019-12-25 | Health consultation system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113407690A (en) * | 2021-06-17 | 2021-09-17 | 重庆大牛认知科技有限公司 | IPTV terminal health consultation method and system based on intelligent interaction |
| CN113643827A (en) * | 2021-07-21 | 2021-11-12 | 上海河智文化传播有限公司 | Physical health service consultation platform based on Internet |
-
2019
- 2019-12-25 CN CN201911353566.1A patent/CN111128374A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113407690A (en) * | 2021-06-17 | 2021-09-17 | 重庆大牛认知科技有限公司 | IPTV terminal health consultation method and system based on intelligent interaction |
| CN113643827A (en) * | 2021-07-21 | 2021-11-12 | 上海河智文化传播有限公司 | Physical health service consultation platform based on Internet |
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