CN115952482B - Medical equipment data management system and method - Google Patents
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Abstract
The application provides a medical equipment data management system and a method, and relates to the field of medical data management, the method comprises the steps of collecting medical data, collecting initial voice data, initial question data, initial answer data and initial identity data of a main doctor and a patient, collecting sample voice data, sample question data, sample answer data and sample identity data of a first user and a second user, comparing the initial voice data, the initial question data and the initial answer data with the sample voice data, the sample question data and the sample answer data respectively to obtain a comparison result if the initial identity data is the same as the sample identity data, and judging that the real identity of the first user is the main doctor and the real identity of the second user is the patient if the comparison result passes authorization, and outputting the medical data to the first user and the second user, so that the first user and the second user can mutually confirm the identity, and then the effect that one or both accounts are stolen can be avoided.
Description
Technical Field
The present disclosure relates to the field of medical data management technologies, and in particular, to a medical device data management system and method.
Background
The application of the internet and intelligence in the medical field makes the medical data management more efficient and convenient, wherein most of the medical data comes from medical equipment, such as diagnosis data, detection data, working data, prediction data and the like, mainly used by doctors and patients can use mobile phones or computer login accounts to inquire medical setting data during treatment and after treatment is finished, however, the medical data is usually highly private information of users, once the account number of the patients or the account number of the mainly used doctors is stolen, the medical data of the patients is easy to leak, and therefore, a medical equipment data management system and method are needed to solve the problem of the privacy safety of the medical data.
Disclosure of Invention
The application provides a medical equipment data management system and method, which are used for solving the technical problem that medical data is easy to leak in the prior art.
The 1 st aspect of the present application provides a medical device data management method, including the steps of:
s110, acquiring medical data of medical equipment by using a data input module, storing the medical data in a medical database, acquiring initial voice data of a main doctor and a patient, storing the initial voice data in the initial database, acquiring initial question data of the main doctor, storing the initial question data in the initial database, acquiring initial answer data of the patient, storing the initial answer data in the initial database, and acquiring initial identity data of the main doctor and the patient, and storing the initial answer data in the initial database;
s120, using a correlation module to correlate the medical data, the initial voice data, the initial question data, the initial answer data and the initial identity data to obtain initial correlation data, and storing the initial correlation data into an initial database;
s210, collecting sample voice data, sample question data and sample identity data of a first user by a data input module, storing the sample voice data, the sample question data and the sample identity data of a second user in a sample database, and storing the sample voice data, the sample answer data and the sample identity data of the second user in the sample database;
s220, using a voiceprint recognition module to recognize initial voice data of a main doctor and a patient to obtain initial voiceprint data, and storing the initial voiceprint data in an initial database, and recognizing sample voice data of a first user and a second user to obtain sample voiceprint data and storing the sample voiceprint data in a sample database;
s230, using a correlation module to correlate the sample question data, the sample answer data, the sample voiceprint data and the sample identity data to obtain sample correlation data, and storing the sample correlation data in a sample database;
s310, matching the sample association data with the initial association data according to the sample identity data by using an authorization module, and comparing the sample voiceprint data with the initial voiceprint data to obtain a comparison result;
and S320, if the comparison result passes the authorization, outputting the medical data to the first user and the second user by using the data output module.
In some embodiments of aspect 1, in step S110, the initial question data and the initial answer data are respectively saved to the initial database by way of keyboard input;
or, the voice recognition module is used for carrying out voice recognition on the initial voice data, and the initial question data and the initial answer data are obtained according to the voice recognition result and are stored in the initial database.
In some embodiments of aspect 1, in step S210, sample question data and sample answer data are saved to a sample database by way of keyboard entry;
or, the voice recognition module is used for carrying out voice recognition on the sample voice data of the first user, obtaining sample question data according to a voice recognition result and storing the sample question data in the sample database, carrying out voice recognition on the sample voice data of the second user, obtaining sample answer data according to the voice recognition result and storing the sample answer data in the sample database.
In some embodiments of aspect 1, step S310 further includes comparing, with the authorization module, the sample question data and the sample answer data with the initial question data, the initial answer data, and the initial voiceprint data, respectively, to obtain a comparison result.
In some embodiments of the 1 st aspect, in step S310, the comparison result includes a similarity between the sample voiceprint data and the initial voiceprint data, and if the similarity between the sample voiceprint data and the initial voiceprint data is greater than a preset voiceprint data similarity, the sample question data and the initial question data are compared to obtain a similarity between the sample question data and the initial question data.
In some embodiments of aspect 1, if the similarity between the sample question data and the initial question data is greater than the similarity between the preset question data, comparing the sample answer data with the initial answer data to obtain the similarity between the sample answer data and the initial answer data.
In some embodiments of aspect 1, if the similarity of the sample answer data and the initial answer data is greater than the preset answer data similarity, comparing the similarity of the sample voiceprint data and the initial voiceprint data.
In some embodiments of aspect 1, in step S310, the comparison result includes a similarity between the sample question data and the initial question data and a similarity between the sample answer data and the initial answer data, and if the similarity between the sample question data and the initial question data is greater than the preset question data similarity and the similarity between the sample answer data and the initial answer data is greater than the preset answer data similarity, the comparison result is authorized.
In some embodiments of aspect 1, in step S310, the comparison result includes a similarity between the sample voiceprint data and the initial voiceprint data, and if the similarity between the sample voiceprint data and the initial voiceprint data is greater than the preset voiceprint data similarity, the comparison result is authorized.
A2 nd aspect of the present application provides a medical device data management system, to which the medical device data management method of the 1 st aspect is applied, including:
the data input module is used for collecting medical data of medical equipment, collecting initial voice data of a main doctor and a patient, collecting initial question data of the main doctor, collecting initial answer data of the patient, collecting initial identity data of the main doctor and the patient, collecting sample voice data, sample question data and sample identity data of a first user, and collecting sample voice data, sample answer data and sample identity data of a second user;
the association module is used for associating the medical data, the initial voice data, the initial question data, the initial answer data and the initial identity data to obtain initial association data, and associating the sample question data, the sample answer data, the sample voiceprint data and the sample identity data to obtain sample association data;
the voice recognition module is used for carrying out voice recognition on the initial voice data, obtaining initial question data and initial answer data according to a voice recognition result, carrying out voice recognition on sample voice data of the first user, obtaining sample question data according to the voice recognition result, carrying out voice recognition on sample voice data of the second user, and obtaining sample answer data according to the voice recognition result;
the voiceprint recognition module is used for recognizing initial voice data of a main doctor and a patient to obtain initial voiceprint data and recognizing sample voice data of a first user and a second user to obtain sample voiceprint data;
the authorization module is used for matching the sample association data with the initial association data according to the sample identity data, comparing the sample voiceprint data with the initial voiceprint data, comparing the sample question data with the initial question data, and comparing the sample answer data with the initial answer data to obtain a comparison result;
a medical database storing medical data of medical devices;
the initial database stores initial voice data, initial question data, initial answer data, initial identity data, initial voiceprint data and initial association data;
the sample database stores sample voice data, sample question data, sample answer data, sample identity data, sample voiceprint data and sample association data;
the database is preset and used for storing preset voiceprint data similarity, preset question data similarity and preset answer data similarity;
the data output module outputs the medical data to the first user and the second user;
the medical device data management system further comprises a memory and a processor, wherein the memory is used for storing a medical database, an initial database, a sample database, a preset database, a comparison result and a computer program, and the computer program is suitable for being executed by the processor to realize the medical device data management method in the aspect 1.
The application has the following beneficial effects:
the medical equipment is used for uploading medical data to a medical equipment data management system and storing the medical data in a medical database in the treatment process of a patient by a main doctor, when the medical data is required to be checked by a second user in the treatment process or after the treatment is finished, a query request can be initiated to the first user through an account login system, after the first user sees the query request, a voice question is sent to the first user, after the second user receives the voice question, a voice response is made to the voice question, a voice recognition module recognizes voice data in voice data of the first user and the second user, if the sample voice data of the first user is the same as or similar to the initial voice data of the main doctor and is larger than the similarity of the preset voice data, and if the sample voice data of the second user is the same as or similar to the initial voice data of the patient and is larger than the similarity of the preset voice data, the true identity of the first user is judged to be the main doctor, so that the true identity of the first user is the patient, the voice question is sent to the first user and the second user, the identity can be confirmed mutually by the first user and the second user, and then the privacy of the medical data of the first user and the second user can be ensured or the second user can be prevented from being used by the two parties, and the medical account safety of the medical data is prevented from being stolen by the user.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief description will be given below of the drawings that are needed in the embodiments or the prior art descriptions, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a medical device data management system in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a data management method of a medical device according to an embodiment of the present application.
Reference numerals:
101. a data input module; 102. a data output module; 103. a medical database; 104. an association module; 105. a voice recognition module; 106. a voiceprint recognition module; 107. an initial database; 108. a sample database; 109. an authorization module; 110. presetting a database; 111. a memory; 112. a processor.
Detailed Description
The following detailed description of embodiments of the present application, taken in conjunction with the accompanying drawings and examples, uses terminology used in the description of the embodiments of the application to explain specific examples of the application only and is not intended to limit the application.
As shown in fig. 1 and 2, in embodiment 1 of the present application, there is provided a medical device data management method including the steps of:
s110, acquiring medical data of medical equipment by using the data input module 101 and storing the medical data in the medical database 103, acquiring initial voice data of a main doctor and a patient and storing the initial voice data in the initial database 107, acquiring initial question data of the main doctor and storing the initial question data in the initial database 107, acquiring initial answer data of the patient and storing the initial answer data in the initial database 107, and acquiring initial identity data of the main doctor and the patient and storing the initial answer data in the initial database 107;
s120, using the association module 104 to associate the medical data, the initial voice data, the initial question data, the initial answer data and the initial identity data to obtain initial association data, and storing the initial association data into the initial database 107;
s210, collecting sample voice data, sample question data and sample identity data of a first user by using the data input module 101, storing the sample voice data, the sample question data and the sample identity data of a second user in the sample database 108, and collecting the sample voice data, the sample answer data and the sample identity data of the second user in the sample database 108;
s220, using the voiceprint recognition module 106, recognizing initial voice data of the attending doctor and the patient to obtain initial voiceprint data, storing the initial voiceprint data in the initial database 107, recognizing sample voice data of the first user and the second user to obtain sample voiceprint data, and storing the sample voiceprint data in the sample database 108;
s230, using the association module 104 to associate the sample question data, the sample answer data, the sample voiceprint data and the sample identity data to obtain sample association data, and storing the sample association data in the sample database 108;
s310, matching the sample association data with the initial association data according to the sample identity data by using the authorization module 109, and comparing the sample voiceprint data with the initial voiceprint data to obtain a comparison result;
s320, if the comparison result passes the authorization, the data output module 102 is used for outputting the medical data to the first user and the second user.
By the above embodiment of example 1, the medical device used by the attending physician in the course of treatment of the patient uploads the medical data to the medical device data management system and stores the medical data in the medical database 103, in the normal case, the first user refers to the attending physician, the second user refers to the patient, when the second user needs to check the medical data during treatment or after treatment is completed, the second user can initiate a query request to the first user through the account login system, after the first user sees the query request, send a voice question (i.e. sample question data) to the first user, after the second user receives the voice question, make a voice response (i.e. sample answer data) to the voice question, the voice print recognition module 106 recognizes the voice print data in the voice data of the first user and the second user, if the sample voiceprint data of the first user is the same as or similar to the initial voiceprint data of the attending doctor and is greater than the similarity of the preset voiceprint data, and the sample voiceprint data of the second user is the same as or similar to the initial voiceprint data of the patient and is greater than the similarity of the preset voiceprint data, the true identity of the first user is judged to be the attending doctor and the true identity of the second user is judged to be the patient, so that medical data are output to the first user and the second user, the identity of the first user and the second user can be mutually confirmed, the effect that accounts of one party or both parties are stolen can be avoided, the safety of the medical data is improved, and the privacy of the medical data of the patient is guaranteed. The association module 104 associates the medical data, the initial voice data, the initial question data, the initial answer data, and the initial identity data with the initial identity data as a label, and groups (or sets up a matrix) the medical data, the initial voice data, the initial question data, and the initial answer data, for example, a= [ a1, a2, a3, a4], where a is an array or a matrix (i.e., initial association data), a1 is the medical data, a2 is the initial question data, a3 is the initial answer data, and a4 is the initial identity data. The association module 104 associates sample question data, sample answer data, sample voiceprint data, and sample identity data, and groups or establishes a matrix, such as b= [ B1, B2, B3], with the sample identity data as a tag, where B is an array or matrix (i.e., sample association data), B1 is sample question data, B2 is sample answer data, and B3 is sample identity data.
In some implementations of example 1, in step S110, the initial question data and the initial answer data are respectively saved to the initial database 107 by way of keyboard input;
or, the voice recognition module 105 is used for performing voice recognition on the initial voice data, and initial question data and initial answer data are obtained according to the voice recognition result and are stored in the initial database 107.
Through the foregoing implementation manner of embodiment 1, when collecting the initial questions, the attending doctor and the patient can choose the questions and answers preset in the system, then the two parties respectively read the chosen contents to form initial voice data, the voice recognition module 105 recognizes the read contents, if the read is not standard or the read is wrong, the system sends out a request for re-read and indicates the error until the voice recognition result is consistent with the chosen contents or the similarity is greater than the preset similarity; or using a keyboard to input preset questions and answers in the selected system or input customized questions and answers, and then respectively reading the selected contents by the two parties to form initial voice data; or directly collect the voice data of both parties, recognize the initial voice data of both parties with the voice recognition module 105, and recognize the initial voiceprint data of both parties with the voiceprint recognition module 106.
In some implementations of example 1, in step S210, sample question data and sample answer data are saved to the sample database 108 by way of keyboard entry;
or, the voice recognition module 105 is used for carrying out voice recognition on the sample voice data of the first user, obtaining sample question data according to the voice recognition result and storing the sample question data in the sample database 108, carrying out voice recognition on the sample voice data of the second user, obtaining sample answer data according to the voice recognition result and storing the sample answer data in the sample database 108.
Through the above embodiment of embodiment 1, the primary doctor and the patient can agree on the verification mode in advance, and then select the verification mode agreed by both parties through the system, if the verification mode is to verify through only the question-answer mode, the first user and the second user respectively input the question-answer content through the keyboard or identify the voice content of both parties through the voice recognition module 105, if the agreed verification mode is voiceprint verification, record the question-answer voice data of both parties, identify the voiceprints of both parties, or select the question-answer mode combined with the voiceprints to verify, i.e. record the question-answer voice data of both parties, identify the voices of both parties to obtain the question-answer content, and then identify the voiceprints of both parties.
In some implementations of embodiment 1, step S310 further includes comparing, with the authorization module 109, the sample question data and the sample answer data with the initial question data, the initial answer data, and the initial voiceprint data, respectively, to obtain a comparison result.
In some implementations of embodiment 1, in step S310, the comparison result includes a similarity between the sample voiceprint data and the initial voiceprint data, and if the similarity between the sample voiceprint data and the initial voiceprint data is greater than the preset voiceprint data similarity, the sample question data and the initial question data are compared to obtain a similarity between the sample question data and the initial question data.
In some embodiments of embodiment 1, if the similarity between the sample question data and the initial question data is greater than the similarity between the preset question data, comparing the sample answer data with the initial answer data to obtain the similarity between the sample answer data and the initial answer data.
In some embodiments of example 1, if the similarity between the sample answer data and the initial answer data is greater than the preset answer data similarity, comparing the similarity between the sample voiceprint data and the initial voiceprint data.
Through the foregoing embodiment of embodiment 1, the identity data of the first user and the second user are first verified, for example, the identity data of the two parties are determined by means of a login account, if the initial database 107 has the same record as the login information, the login is successful, the two parties perform voice questions and answers, the questions and answers contents of the two parties are first identified, if the questions and answers contents are matched with the questions and answers data in the initial database 107 to be the same, the voiceprint of the two parties is identified, whether the authorization is passed or not is confirmed on the basis of the three verification steps, if the authorization is passed, the medical data is output to the first user and the second user, the voice data and the voiceprint data of the two parties are not identified and compared before the identity verification, and the voiceprint data of the two parties are not identified and compared before the comparison of the questions and answers data, so that a large amount of calculation force can be saved, when a plurality of pairs of users use the system simultaneously, the working efficiency can be improved, and the delay of data calculation and data transmission can be reduced.
In some embodiments of embodiment 1, in step S310, the comparison result includes the similarity between the sample question data and the initial question data and the similarity between the sample answer data and the initial answer data, and if the similarity between the sample question data and the initial question data is greater than the similarity between the preset question data and the similarity between the sample answer data and the initial answer data is greater than the similarity between the preset answer data, the comparison result passes authorization, and after passing authorization, the data output module 102 transmits the medical data to the first user and the second user, for example, jumps to a website page in which the medical data is recorded, or transmits the medical data to the mobile terminal or the computer in the form of a two-dimensional code, a mail, a picture, a text, or the like.
In some implementations of embodiment 1, in step S310, the comparison result includes a similarity between the sample voiceprint data and the initial voiceprint data, and if the similarity between the sample voiceprint data and the initial voiceprint data is greater than the preset voiceprint data similarity, the comparison result is authorized.
With the above embodiment of embodiment 1, when the preset verification mode is that only voiceprint data comparison is adopted, voiceprint recognition is directly performed on the voice data of both parties.
As shown in fig. 1, in embodiment 2 of the present application, there is provided a medical device data management system, to which the medical device data management method described in embodiment 1 is applied, including:
the data input module 101 is used for collecting medical data of medical equipment, collecting initial voice data of a main doctor and a patient, collecting initial question data of the main doctor, collecting initial answer data of the patient, collecting initial identity data of the main doctor and the patient, collecting sample voice data, sample question data and sample identity data of a first user, and collecting sample voice data, sample answer data and sample identity data of a second user;
the association module 104 is used for associating the medical data, the initial voice data, the initial question data, the initial answer data and the initial identity data to obtain initial association data, and associating the sample question data, the sample answer data, the sample voiceprint data and the sample identity data to obtain sample association data;
the voice recognition module 105 performs voice recognition on the initial voice data, obtains initial question data and initial answer data according to a voice recognition result, performs voice recognition on sample voice data of the first user, obtains sample question data according to a voice recognition result, performs voice recognition on sample voice data of the second user, and obtains sample answer data according to a voice recognition result;
the voiceprint recognition module 106 recognizes initial voice data of the attending doctor and the patient to obtain initial voiceprint data, and recognizes sample voice data of the first user and the second user to obtain sample voiceprint data;
the authorization module 109 is used for matching the sample association data with the initial association data according to the sample identity data, comparing the sample voiceprint data with the initial voiceprint data, comparing the sample question data with the initial question data, and comparing the sample answer data with the initial answer data to obtain a comparison result;
a medical database 103 storing medical data of medical devices;
an initial database 107 storing initial voice data, initial question data, initial answer data, initial identity data, initial voiceprint data, initial association data;
a sample database 108 storing sample voice data, sample question data, sample answer data, sample identity data, sample voiceprint data, sample association data;
a preset database 110 storing preset voiceprint data similarity, preset question data similarity, and preset answer data similarity;
a data output module 102 that outputs medical data to a first user and a second user;
also included is a memory 111 and a processor 112, the memory 111 being adapted to store a medical database 103, an initial database 107, a sample database 108, a preset database 110, a comparison result, a computer program adapted to be executed by the processor 112 for implementing the medical device data management method described in embodiment 1.
It should be understood that the medical device data management system in embodiment 2 may further include a mobile terminal and a computer terminal, where the mobile terminal and the computer terminal refer to medical data receiving terminals of the first user and the second user, and are used only for inputting sample data (sample voice data, etc.) to the sample database 108, initial data (initial voice data, initial problem data, etc.) and preset data (preset voiceprint data similarity, etc.) are stored in the memory 111 of the medical device data management system, and the memory 111 of the medical device data management system is set at the cloud.
The similarity in this application refers to the similarity degree of two comparison data, and is evaluated in percentage, the similarity of preset question data and the similarity of preset answer data are set to 70% to 80%, and the similarity of preset voiceprint data is set to 95% to 98%.
The above examples are intended to be illustrative of the present application and are not intended to be limiting, and those skilled in the art, upon reading the present specification, may make modifications to the embodiments of the present application as necessary without creative contribution, but are protected by patent laws within the scope of the appended claims.
Claims (7)
1. A medical device data management method, comprising the steps of:
s110, acquiring medical data of medical equipment by using a data input module, storing the medical data in a medical database, acquiring initial voice data of a main doctor and a patient, storing the initial voice data in the initial database, acquiring initial question data of the main doctor, storing the initial question data in the initial database, acquiring initial answer data of the patient, storing the initial answer data in the initial database, and acquiring initial identity data of the main doctor and the patient, and storing the initial answer data in the initial database;
s120, using a correlation module to correlate the medical data, the initial voice data, the initial question data, the initial answer data and the initial identity data to obtain initial correlation data, and storing the initial correlation data into an initial database;
s210, collecting sample voice data, sample question data and sample identity data of a first user by a data input module, storing the sample voice data, the sample question data and the sample identity data of a second user in a sample database, and storing the sample voice data, the sample answer data and the sample identity data of the second user in the sample database;
s220, using a voiceprint recognition module to recognize initial voice data of a main doctor and a patient to obtain initial voiceprint data, and storing the initial voiceprint data in an initial database, and recognizing sample voice data of a first user and a second user to obtain sample voiceprint data and storing the sample voiceprint data in a sample database;
s230, using a correlation module to correlate the sample question data, the sample answer data, the sample voiceprint data and the sample identity data to obtain sample correlation data, and storing the sample correlation data in a sample database;
s310, matching the sample association data with the initial association data according to the sample identity data by using an authorization module, and comparing the sample voiceprint data with the initial voiceprint data to obtain a comparison result;
s320, if the comparison result passes the authorization, outputting medical data to the first user and the second user by using a data output module;
step S310 further includes comparing, with an authorization module, the sample question data and the sample answer data with the initial question data, the initial answer data, and the initial voiceprint data, respectively, to obtain a comparison result, where the comparison result includes a similarity between the sample question data and the initial question data and a similarity between the sample answer data and the initial answer data, and if the similarity between the sample question data and the initial question data is greater than a preset question data similarity and the similarity between the sample answer data and the initial answer data is greater than a preset answer data similarity, the comparison result includes a similarity between the sample voiceprint data and the initial voiceprint data, and if the similarity between the sample voiceprint data and the initial voiceprint data is greater than a preset voiceprint data similarity, the comparison result passes authorization.
2. The medical device data management method according to claim 1, wherein in step S110, the initial question data and the initial answer data are respectively stored in the initial database by way of keyboard input;
or, the voice recognition module is used for carrying out voice recognition on the initial voice data, and the initial question data and the initial answer data are obtained according to the voice recognition result and are stored in the initial database.
3. The medical device data management method according to claim 1, wherein in step S210, sample question data and sample answer data are saved to a sample database by means of keyboard input;
or, the voice recognition module is used for carrying out voice recognition on the sample voice data of the first user, obtaining sample question data according to a voice recognition result and storing the sample question data in the sample database, carrying out voice recognition on the sample voice data of the second user, obtaining sample answer data according to the voice recognition result and storing the sample answer data in the sample database.
4. The method according to claim 1, wherein in step S310, the comparison result includes a similarity between the sample voiceprint data and the initial voiceprint data, and if the similarity between the sample voiceprint data and the initial voiceprint data is greater than a predetermined voiceprint data similarity, the sample question data and the initial question data are compared to obtain a similarity between the sample question data and the initial question data.
5. The medical device data management method according to claim 4, wherein if the similarity between the sample question data and the initial question data is greater than the similarity between the preset question data, comparing the sample answer data with the initial answer data to obtain the similarity between the sample answer data and the initial answer data.
6. The medical device data management method according to claim 5, wherein if the similarity between the sample answer data and the initial answer data is greater than the preset answer data similarity, comparing the similarity between the sample voiceprint data and the initial voiceprint data.
7. A medical device data management system applying the medical device data management method according to any one of claims 1 to 6, comprising:
the data input module is used for collecting medical data of medical equipment, collecting initial voice data of a main doctor and a patient, collecting initial question data of the main doctor, collecting initial answer data of the patient, collecting initial identity data of the main doctor and the patient, collecting sample voice data, sample question data and sample identity data of a first user, and collecting sample voice data, sample answer data and sample identity data of a second user;
the association module is used for associating the medical data, the initial voice data, the initial question data, the initial answer data and the initial identity data to obtain initial association data, and associating the sample question data, the sample answer data, the sample voiceprint data and the sample identity data to obtain sample association data;
the voice recognition module is used for carrying out voice recognition on the initial voice data, obtaining initial question data and initial answer data according to a voice recognition result, carrying out voice recognition on sample voice data of the first user, obtaining sample question data according to the voice recognition result, carrying out voice recognition on sample voice data of the second user, and obtaining sample answer data according to the voice recognition result;
the voiceprint recognition module is used for recognizing initial voice data of a main doctor and a patient to obtain initial voiceprint data and recognizing sample voice data of a first user and a second user to obtain sample voiceprint data;
the authorization module is used for matching the sample association data with the initial association data according to the sample identity data, comparing the sample voiceprint data with the initial voiceprint data, comparing the sample question data with the initial question data, and comparing the sample answer data with the initial answer data to obtain a comparison result;
a medical database storing medical data of medical devices;
the initial database stores initial voice data, initial question data, initial answer data, initial identity data, initial voiceprint data and initial association data;
the sample database stores sample voice data, sample question data, sample answer data, sample identity data, sample voiceprint data and sample association data;
the database is preset and used for storing preset voiceprint data similarity, preset question data similarity and preset answer data similarity;
the data output module outputs the medical data to the first user and the second user;
further comprising a memory for storing a medical database, an initial database, a sample database, a preset database, a comparison result, a computer program adapted to be executed by the processor for implementing the medical device data management method of any of claims 1 to 6.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109816508A (en) * | 2018-12-14 | 2019-05-28 | 深圳壹账通智能科技有限公司 | Method for authenticating user identity, device based on big data, computer equipment |
| CN113242137A (en) * | 2021-07-12 | 2021-08-10 | 广州天鹏计算机科技有限公司 | Electronic medical record data processing method and system |
| CN113849647A (en) * | 2021-09-28 | 2021-12-28 | 平安科技（深圳）有限公司 | Conversation identity recognition method, device, equipment and storage medium |
| CN113946739A (en) * | 2020-07-16 | 2022-01-18 | 腾讯科技（深圳）有限公司 | Sensitive data query method, device, equipment and storage medium |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107395352B (en) * | 2016-05-16 | 2019-05-07 | 腾讯科技（深圳）有限公司 | Personal identification method and device based on vocal print |
| CN105868596B (en) * | 2016-05-27 | 2019-11-05 | 王绪胜 | The method and apparatus of identity real name certification |
| CN109003612B (en) * | 2018-06-08 | 2021-01-29 | 英业达科技有限公司 | Voice question-answer verification system and method based on artificial intelligence |
| US11537697B2 (en) * | 2019-08-12 | 2022-12-27 | Nuance Communications, Inc. | Authentication system and method |
-
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- 2023-03-13 CN CN202310231275.5A patent/CN115952482B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109816508A (en) * | 2018-12-14 | 2019-05-28 | 深圳壹账通智能科技有限公司 | Method for authenticating user identity, device based on big data, computer equipment |
| CN113946739A (en) * | 2020-07-16 | 2022-01-18 | 腾讯科技（深圳）有限公司 | Sensitive data query method, device, equipment and storage medium |
| CN113242137A (en) * | 2021-07-12 | 2021-08-10 | 广州天鹏计算机科技有限公司 | Electronic medical record data processing method and system |
| CN113849647A (en) * | 2021-09-28 | 2021-12-28 | 平安科技（深圳）有限公司 | Conversation identity recognition method, device, equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 基于声纹识别和语音识别的网络账号身份认证系统;李秋华;唐鉴波;柏森;朱桂斌;;信息网络安全(12);43-47 * |
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