CN115952482A - Medical equipment data management system and method - Google Patents
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Abstract
The method comprises the steps of collecting medical data, collecting initial voice data, initial question data, initial answer data and initial identity data of main doctors and patients, collecting sample voice data, sample question data, sample answer data and sample identity data of first users and second users, 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 and the sample identity data are the same, judging that the real identity of the first user is the main doctors and the real identity of the second user is the patients if the comparison result passes authorization, outputting the medical data to the first users and the second users, mutually confirming the identities of the first users and the second users, and avoiding the effect that accounts of one party or the two parties are stolen.
Description
Technical Field
The application relates to the technical field of medical data management, in particular to a medical equipment data management system and method.
Background
The internet and the intellectualization are applied in the medical field, so that the management of medical data is more efficient and convenient, wherein most of the medical data come from medical equipment, such as diagnosis data, detection data, working data, prediction data and the like, and main doctors and patients can use mobile phones or computers to log in account numbers to inquire medical equipment data in the treatment process and after the treatment is finished, however, the medical data is generally high-privacy information of users, once the account number of the patient or the account number of the main doctor is stolen, the medical data of the patient is easily leaked, and therefore, a medical equipment data management system and a method are needed to solve the problem in the aspect of 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 are 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 into a medical database, acquiring initial voice data of a main doctor and a patient, storing the initial voice data into an initial database, acquiring initial question data of the main doctor, storing the initial question data into the initial database, acquiring initial answer data of the patient, storing the initial answer data into the initial database, acquiring initial identity data of the main doctor and the patient, and storing the initial identity data into the initial database;
s120, a correlation module is used for correlating medical data, initial voice data, initial question data, initial answer data and initial identity data to obtain initial correlation data, and the initial correlation data are stored in an initial database;
s210, a data input module is used for collecting and storing sample voice data, sample question data and sample identity data of a first user to a sample database, collecting and storing sample voice data, sample answer data and sample identity data of a second user to the sample database;
s220, identifying initial voice data of a main doctor and a patient by using a voiceprint identification module to obtain initial voiceprint data and storing the initial voiceprint data in an initial database, and identifying 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, correlating the sample question data, the sample answer data, the sample voiceprint data and the sample identity data by using a correlation module to obtain sample correlation data, and storing the sample correlation data in a sample database;
s310, matching the sample associated data with the initial associated data by using an authorization module according to the sample identity data, 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 the aspect 1, in step S110, the initial question data and the initial answer data are respectively saved to an 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 obtaining initial question data and initial answer data according to a voice recognition result and storing the initial question data and the initial answer data into an initial database.
In some embodiments of aspect 1, in step S210, the sample question data and the sample answer data are saved to the sample database by way 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.
In some embodiments of the aspect 1, the step S310 further includes comparing, by 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 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 a preset voiceprint data similarity, the sample problem data is compared with the initial problem data to obtain a similarity between the sample problem data and the initial problem data.
In some embodiments of the aspect 1, if the similarity between the sample question data and the initial question data is greater than the preset question data similarity, the sample answer data is compared with the initial answer data to obtain the similarity between the sample answer data and the initial answer data.
In some embodiments of the aspect 1, if the similarity between the sample answer data and the initial answer data is greater than the preset answer data similarity, the similarity between the sample voiceprint data and the initial voiceprint data is compared.
In some embodiments of the 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 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 the authorization.
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 a preset voiceprint data similarity, the comparison result passes the authorization.
The 2 nd aspect of the present application provides a medical device data management system to which the medical device data management method according to the 1 st aspect is applied, including:
the data input module is used for acquiring medical data of medical equipment, acquiring initial voice data of a main doctor and a patient, acquiring initial question data of the main doctor, acquiring initial answer data of the patient, acquiring initial identity data of the main doctor and the patient, acquiring sample voice data, sample question data and sample identity data of a first user, and acquiring sample voice data, sample answer data and sample identity data of a second user;
the correlation module is used for correlating 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 correlating the sample question data, the sample answer data, the sample voiceprint data and the sample identity data to obtain sample correlation data;
the voice recognition module is used for performing voice recognition on the initial voice data, obtaining initial question data and initial answer data according to a voice recognition result, performing voice recognition on sample voice data of a first user, obtaining sample question data according to a voice recognition result, performing voice recognition on sample voice data of a second user, and obtaining sample answer data according to a voice recognition result;
the voice print identification module is used for identifying initial voice data of a doctor and a patient to obtain initial voice print data and identifying sample voice data of a first user and a second user to obtain sample voice print data;
the authorization module is used for matching the sample associated data with the initial associated 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 preset database stores preset voiceprint data similarity, preset question data similarity and preset answer data similarity;
the data output module is used for outputting the medical data to the first user and the second user;
the medical equipment 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 equipment data management method in the aspect 1.
The application has the following beneficial effects:
the main doctor uploads medical data to a medical equipment data management system and stores the medical data in a medical database, when a second user needs to check the medical data in the treatment process or after treatment is finished, the main doctor logs in the system through an account, initiates an inquiry request to the first user, the first user sends a voice question to the first user after seeing the inquiry request, the second user receives the voice question and makes a voice response aiming at the voice question, the voiceprint recognition module recognizes voiceprint data in the voice data of the first user and the second user, if sample voiceprint data of the first user is the same as or has a similarity higher than that of the main doctor, and the sample voiceprint data of the second user is the same as or has a similarity higher than that of the patient, the true identity of the first user is judged to be the main doctor and the true identity of the second user is judged to be the patient, so that the medical data is output to the first user and the second user, the identity of the first user and the second user can be stolen, mutual account number confirmation of the first user and the second user can be avoided, and the safety of the medical data can be improved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following descriptions are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic structural diagram of a medical device data management system in an embodiment of the present application;
fig. 2 is a schematic structural diagram of a medical device data management method in an embodiment of the present application.
Reference numerals:
101. a data input module; 102. a data output module; 103. a medical database; 104. a correlation 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
Embodiments of the present application will now be described in further detail with reference to the drawings and examples, and the terminology used in the description of the embodiments of the present application is for the purpose of describing particular embodiments of the present application only and is not intended to be limiting of 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 and storing the medical data into a medical database 103 by using a data input module 101, acquiring initial voice data of a main doctor and a patient and storing the initial voice data into an initial database 107, acquiring initial question data of the main doctor and storing the initial question data into the initial database 107, acquiring initial answer data of the patient and storing the initial answer data into the initial database 107, and acquiring initial identity data of the main doctor and the patient and storing the initial identity data into the initial database 107;
s120, 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 storing the initial association data in the initial database 107;
s210, collecting and storing sample voice data, sample question data and sample identity data of a first user to a sample database 108, and collecting and storing sample voice data, sample answer data and sample identity data of a second user to the sample database 108 by using the data input module 101;
s220, identifying initial voice data of a doctor and a patient by using a voiceprint identification module 106 to obtain initial voiceprint data and storing the initial voiceprint data in an initial database 107, and identifying 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 108;
s230, the correlation module 104 is used for correlating the sample question data, the sample answer data, the sample voiceprint data and the sample identity data to obtain sample correlation data, and the sample correlation data are stored in the sample database 108;
s310, matching the sample associated data with the initial associated data by using the authorization module 109 according to the sample identity data, 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, the data output module 102 is used for outputting the medical data to the first user and the second user.
Through the above implementation manner of embodiment 1, in the course of treatment of a patient, an attending physician uploads medical data to a medical device data management system by using a medical device and stores the medical data in a medical database 103, in a general case, a first user refers to the attending physician, a second user refers to a patient, when the second user needs to check the medical data during or after the treatment, the second user logs in the system through an account, initiates a query request to the first user, sends a voice question (i.e., sample question data) to the first user after the first user sees the query request, makes a voice answer (i.e., sample answer data) to the voice question after the second user receives the voice question, and the voiceprint recognition module 106 recognizes voiceprint 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 has the similarity larger than the preset voiceprint data similarity with the initial voiceprint data of the main doctor, and the sample voiceprint data of the second user is the same as or has the similarity larger than the preset voiceprint data similarity with the initial voiceprint data of the patient, the real identity of the first user is judged to be the main doctor, and the real identity of the second user is judged to be the patient, so that the medical data is output to the first user and the second user, the identity of the first user and the identity of the second user can be mutually confirmed, the effect that account numbers of one or both of the first user and the second user 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, by taking the initial identity data as a tag, and grouping (or referred to as establishing 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 the sample question data, the sample answer data, the sample voiceprint data, and the sample identity data, that is, the sample identity data is used as a label to group or establish a matrix, for example, B = [ B1, B2, B3], where B is an array or a matrix (i.e., sample association data), B1 is the sample question data, B2 is the sample answer data, and B3 is the sample identity data.
In some embodiments of example 1, in step S110, the initial question data and the initial answer data are respectively saved in the initial database 107 by way of keyboard input;
or, the voice recognition module 105 performs voice recognition on the initial voice data, obtains initial question data and initial answer data according to the voice recognition result, and stores the initial question data and the initial answer data in the initial database 107.
Through the implementation manner of embodiment 1, when an initial problem is collected, an attending doctor and a patient can select a preset problem and an answer in a system, then the attending doctor and the patient respectively read the respective selected contents to form initial voice data, the voice recognition module 105 recognizes the read contents, if the read contents are not standard or the read contents are wrong, the system sends a request of reading again and indicates the mistake until the voice recognition result is consistent with the selected contents or the similarity is greater than the preset similarity; or inputting preset questions and answers in a selected system by using a keyboard or inputting self-defined questions and answers, and then respectively reading the selected contents to form initial voice data; or directly collecting the voice data of both parties, using the voice recognition module 105 to recognize the initial voice data of both parties, and using the voiceprint recognition module 106 to recognize the initial voiceprint data of both parties.
In some embodiments of example 1, in step S210, the sample question data and the sample answer data are saved to the sample database 108 by way of keyboard input;
or, the voice recognition module 105 performs voice recognition on the sample voice data of the first user, obtains sample question data according to the voice recognition result and stores the sample question data in the sample database 108, performs voice recognition on the sample voice data of the second user, obtains sample answer data according to the voice recognition result and stores the sample answer data in the sample database 108.
Through the above implementation of embodiment 1, the attending physician and the patient may agree on the verification mode in advance, then select the two agreed verification modes through the system, if the verification mode is verified only by the question and answer mode, the first user and the second user respectively input the question and answer contents through the keyboard or recognize the voice contents of the two parties through the voice recognition module 105, if the agreed verification mode is voiceprint verification, record the question and answer voice data of the two parties, recognize the voiceprints of the two parties, or select the question and answer mode in combination with the voiceprint to verify, that is, record the question and answer voice data of the two parties, recognize the voices of the two parties to obtain the question and answer contents, and then recognize the voiceprints of the two parties.
In some embodiments of example 1, step S310 further includes comparing, by 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 embodiments of example 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 a preset voiceprint data similarity, the sample problem data is compared with the initial problem data to obtain a similarity between the sample problem data and the initial problem data.
In some embodiments of the embodiment 1, if the similarity between the sample question data and the initial question data is greater than the preset question data similarity, the sample answer data is compared with the initial answer data to obtain the similarity between the sample answer data and the initial answer data.
In some embodiments of embodiment 1, if the similarity between the sample answer data and the initial answer data is greater than the preset answer data similarity, the similarity between the sample voiceprint data and the initial voiceprint data is compared.
Through the above embodiment of embodiment 1, the identity data of the first user and the second user is first verified, for example, the identity data of both users is determined by means of login accounts, if the initial database 107 has records identical to the login information, the login is successful, and then both users perform voice question answering, the question answering contents of both users are first recognized, if the question answering contents are matched with the question answering data in the initial database 107, the voiceprints of both users are recognized, on the basis of the three verification steps, whether the authorization is passed or not is determined, if the authorization is passed, the medical data is output to the first user and the second user, before the identity verification, the voice data and the voiceprint data of both users are not recognized and compared, and before the question answering data are compared, the voiceprint data of both users are not recognized and compared, so that a great amount of calculation can be saved, and when a plurality of pairs of users use the system at the same time, the work efficiency can be improved, and the delay of data calculation and data transmission can be reduced.
In some embodiments of example 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, 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 passes authorization, and after the 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 recorded with the medical data, or transmits the medical data to the mobile terminal or the computer in a form of two-dimensional code, mail, picture, text, or the like.
In some embodiments of example 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 a preset voiceprint data similarity, the comparison result passes the authorization.
Through the above implementation manner of embodiment 1, when the preset verification mode is only voiceprint data comparison, 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 according to embodiment 1 is applied, including:
the data input module 101 is used for acquiring medical data of medical equipment, acquiring initial voice data of a main doctor and a patient, acquiring initial question data of the main doctor, acquiring initial answer data of the patient, acquiring initial identity data of the main doctor and the patient, acquiring sample voice data, sample question data and sample identity data of a first user, and acquiring 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 is used for performing voice recognition on the initial voice data, obtaining initial question data and initial answer data according to a voice recognition result, performing voice recognition on sample voice data of a first user, obtaining sample question data according to a voice recognition result, performing voice recognition on sample voice data of a second user, and obtaining sample answer data according to a voice recognition result;
the voiceprint recognition module 106 is used for recognizing initial voice data of a 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 109 matches the sample associated data with the initial associated data according to the sample identity data, compares the sample voiceprint data with the initial voiceprint data, compares the sample question data with the initial question data, and compares the sample answer data with the initial answer data to obtain a comparison result;
a medical database 103 for storing medical data of medical devices;
an initial database 107 for storing initial voice data, initial question data, initial answer data, initial identity data, initial voiceprint data, and initial association data;
the sample database 108 is used for storing sample voice data, sample question data, sample answer data, sample identity data, sample voiceprint data and sample associated data;
a preset database 110 for storing preset voiceprint data similarity, preset question data similarity and preset answer data similarity;
the data output module 102 outputs the medical data to the first user and the second user;
the medical device data management system further comprises a memory 111 and a processor 112, wherein the memory 111 is used for storing the medical database 103, the initial database 107, the sample database 108, the preset database 110, the comparison result and a computer program, and the computer program is suitable for being executed by the processor 112 to realize the medical device data management method 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 are medical data receiving terminals of the first user and the second user, and are only used for inputting sample data (sample voice data, etc.) into the sample database 108, and storing initial data (initial voice data, initial problem data, etc.) and preset data (preset voiceprint data similarity, etc.) in the memory 111 of the medical device data management system, and the memory 111 of the medical device data management system is disposed in the cloud.
The similarity in the application refers to the similarity of two comparison data, and is evaluated in percentage, the similarity of the preset question data and the preset answer data is set to be 70% to 80%, and the similarity of the preset voiceprint data is set to be 95% to 98%.
The above examples are only for explaining the present application and are not intended to limit the present application, and those skilled in the art can make modifications to the embodiments of the present application without inventive contribution as needed after reading the present specification, but are protected by patent laws within the scope of the claims of the present application.
Claims (10)
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 into a medical database, acquiring initial voice data of a main doctor and a patient, storing the initial voice data into an initial database, acquiring initial question data of the main doctor, storing the initial question data into the initial database, acquiring initial answer data of the patient, storing the initial answer data into the initial database, acquiring initial identity data of the main doctor and the patient, and storing the initial identity data into the initial database;
s120, a correlation module is used for correlating medical data, initial voice data, initial question data, initial answer data and initial identity data to obtain initial correlation data, and the initial correlation data are stored in an initial database;
s210, a data input module is used for collecting and storing sample voice data, sample question data and sample identity data of a first user to a sample database, collecting and storing sample voice data, sample answer data and sample identity data of a second user to the sample database;
s220, identifying initial voice data of a main doctor and a patient by using a voiceprint identification module to obtain initial voiceprint data and storing the initial voiceprint data in an initial database, and identifying 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, correlating the sample question data, the sample answer data, the sample voiceprint data and the sample identity data by using a correlation module to obtain sample correlation data, and storing the sample correlation data in a sample database;
s310, matching the sample associated data with the initial associated data by using an authorization module according to the sample identity data, 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 a data output module.
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 saved to an initial database by means of keyboard input;
or, the voice recognition module is used for carrying out voice recognition on the initial voice data, and obtaining initial question data and initial answer data according to a voice recognition result and storing the initial question data and the initial answer data in an initial database.
3. The medical device data management method according to claim 1, wherein in step S210, the sample question data and the sample answer data are saved to a sample database by way 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 medical device data management method of claim 1, wherein step S310 further comprises 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.
5. The medical device data management method according to claim 4, 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 preset voiceprint data similarity, the sample problem data is compared with the initial problem data to obtain the similarity between the sample problem data and the initial problem data.
6. The medical device data management method according to claim 5, wherein if the similarity between the sample question data and the initial question data is greater than the preset question data similarity, the sample answer data is compared with the initial answer data to obtain the similarity between the sample answer data and the initial answer data.
7. The medical device data management method according to claim 6, wherein if the similarity between the sample answer data and the initial answer data is greater than the preset answer data similarity, the similarity between the sample voiceprint data and the initial voiceprint data is compared.
8. The method for managing data of medical equipment according to claim 4, wherein 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 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 the authorization.
9. The method for managing the data of the medical equipment according to any one of claims 1 to 8, 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 preset voiceprint data similarity, the comparison result is authorized.
10. A medical device data management system to which the medical device data management method according to any one of claims 1 to 9 is applied, characterized by comprising:
the data input module is used for acquiring medical data of medical equipment, acquiring initial voice data of a main doctor and a patient, acquiring initial question data of the main doctor, acquiring initial answer data of the patient, acquiring initial identity data of the main doctor and the patient, acquiring sample voice data, sample question data and sample identity data of a first user, and acquiring sample voice data, sample answer data and sample identity data of a second user;
the correlation module is used for correlating 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 correlating the sample question data, the sample answer data, the sample voiceprint data and the sample identity data to obtain sample correlation 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 a first user, obtaining sample question data according to a voice recognition result, carrying out voice recognition on sample voice data of a second user, and obtaining sample answer data according to a voice recognition result;
the voice print identification module is used for identifying initial voice data of a doctor and a patient to obtain initial voice print data and identifying sample voice data of a first user and a second user to obtain sample voice print data;
the authorization module is used for matching the sample associated data with the initial associated 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 the medical device;
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 associated data;
the preset database stores preset voiceprint data similarity, preset question data similarity and preset answer data similarity;
the data output module is used for outputting 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 according to any of claims 1 to 9, and a processor.
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