CN111834019A - Standardized patient training method and device based on voice recognition technology - Google Patents
Standardized patient training method and device based on voice recognition technology Download PDFInfo
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- 238000012549 training Methods 0.000 title claims abstract description 211
- 238000000034 method Methods 0.000 title claims abstract description 75
- 238000013515 script Methods 0.000 claims abstract description 38
- 230000004044 response Effects 0.000 claims abstract description 15
- 230000000977 initiatory effect Effects 0.000 claims abstract description 10
- 238000011156 evaluation Methods 0.000 claims description 31
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- 238000001514 detection method Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
Abstract
The application relates to the field related to medical education, in particular to a standardized patient training method and device based on a voice recognition technology. The standardized patient training method based on the voice recognition technology comprises the following steps: initiating a training question through preset equipment according to a script corresponding to a pre-edited training case, so that a standardized patient can answer the training question to form a conversation; acquiring conversation contents of a standardized patient through a microphone array device; recognizing and analyzing the conversation content of the standardized patient, and converting the audio data of the standardized patient response into text content; separating the text contents converted by the voice recognition module into a plurality of keywords; matching and inquiring the keywords and preset keywords of the inquiry standard script of the current case; and judging whether the conversation content meets the training flow specification and the professional specification or not, and outputting a judgment result.
Description
Technical Field
The application relates to the field related to medical education, in particular to a standardized patient training method and device based on a voice recognition technology.
Background
The standardized patient refers to a person who can be trained to simulate the symptoms of clinical patients constantly and vividly, record and evaluate the clinical operation skills of medical students on a specially designed form according to own feelings, and serve as a teacher to give feedback to students. At present, standardized patients play more and more important roles in various fields of clinical teaching, examination, evaluation, training and the like of medical students and doctors in multiple countries.
Standardized patients must have the ability to feed back to medical students, in addition to the ability to impersonate the patient, observe the lines of the medical student, recall interviews and complete the entry form.
However, the training process for standardized patients is relatively backward, and the training process is mainly performed by the face-to-face guidance of the standardized patients by experienced doctors. The training method is slow in training speed and too large in demand for experienced doctors.
Disclosure of Invention
To overcome, at least in part, the problems of the related art, the present application provides a method and apparatus for standardized patient training based on speech recognition technology.
According to a first aspect of embodiments of the present application, there is provided a method for standardized patient training based on speech recognition technology, comprising:
initiating a training question through preset equipment according to a script corresponding to a pre-edited training case, so that a standardized patient can answer the training question to form a conversation;
acquiring conversation contents of a standardized patient through a microphone array device;
the voice recognition module recognizes and analyzes the conversation content of the standardized patient and converts the audio data answered by the standardized patient into text content;
separating the text contents converted by the voice recognition module into a plurality of keywords; matching and inquiring the keywords and preset keywords of the inquiry standard script of the current case;
and judging whether the conversation content meets the training flow specification and the professional specification or not, and outputting a judgment result.
Optionally, the method further includes:
recording and counting the conversation content of the standardized patient, and giving complete training statistics and detail analysis according to the evaluation rule of the current training content;
giving a virtual instructor instruction suggestion according to the evaluation result; wherein the guidance opinions include: problems and improved ways of training.
Optionally, the method further includes:
the training video is collected through the camera and is used for a teacher to check, and the standard patient is guided based on the training video.
Optionally, the method further includes, before initiating a training question through a preset device according to a scenario corresponding to a pre-edited training case, so that a standardized patient can answer the training question to form a dialog, the method further includes:
determining personal information of a standardized patient to be trained;
determining subject and case data to be trained;
and determining scripts corresponding to training cases to be completed by the virtual doctors and the standardized patients based on the subjects and the case data.
Optionally, the preset device includes a control chip and a speaker;
the control chip is internally stored with a preset program and used for controlling the loudspeaker to initiate a training problem according to a script corresponding to a training case edited in advance.
According to a second aspect of embodiments of the present application, there is provided a standardized patient training apparatus based on speech recognition technology, comprising:
the virtual doctor module is used for simulating doctors in the training and practicing process of the standardized patients, initiating training questions according to scripts corresponding to pre-edited training cases, and allowing the standardized patients to answer the questions to form a conversation;
the data acquisition module is used for acquiring conversation contents of the standardized patients through the microphone array equipment;
and the voice recognition module is used for converting the audio data of the standardized patient answers into text contents.
The voice recognition module is used for recognizing and analyzing the conversation content of the standardized patient and converting the audio data answered by the standardized patient into text content;
the training evaluation module is used for separating the text content converted by the voice recognition module into a plurality of keywords; matching and inquiring the keywords and preset keywords of the inquiry standard script of the current case; and judging whether the conversation content meets the training flow specification and the professional specification or not, and outputting a judgment result.
Optionally, the training evaluation module is further configured to record and count session contents of standardized patients, and provide complete training statistics and detail analysis according to an evaluation rule of the current training content;
giving a virtual instructor instruction suggestion according to the evaluation result; wherein the guidance opinions include: problems and improved ways of training.
Optionally, the data acquisition module further includes: a camera;
the data acquisition module is also used for acquiring training videos for a teacher to check and guiding standardized patients based on the training videos.
Optionally, the virtual doctor module is further configured to: determining personal information of a standardized patient to be trained; determining subject and case data to be trained; and determining scripts corresponding to training cases to be completed by the virtual doctors and the standardized patients based on the subjects and the case data.
Optionally, the virtual doctor module includes a control chip and a speaker;
the control chip is internally stored with a preset program and used for controlling the loudspeaker to initiate a training problem according to a script corresponding to a training case edited in advance.
According to a third aspect of embodiments herein, there is provided a non-transitory computer readable storage medium having instructions stored thereon which, when executed by a processor of a mobile terminal, enable the mobile terminal to perform a method of standardized patient training based on speech recognition technology, the method comprising:
initiating a training question through preset equipment according to a script corresponding to a pre-edited training case, so that a standardized patient can answer the training question to form a conversation;
acquiring conversation contents of a standardized patient through a microphone array device;
recognizing and analyzing the conversation content of the standardized patient, and converting the audio data of the standardized patient response into text content;
separating the text contents converted by the voice recognition module into a plurality of keywords; matching and inquiring the keywords and preset keywords of the inquiry standard script of the current case;
and judging whether the conversation content meets the training flow specification and the professional specification or not, and outputting a judgment result.
Optionally, the method further includes:
recording and counting the conversation content of the standardized patient, and giving complete training statistics and detail analysis according to the evaluation rule of the current training content;
giving a virtual instructor instruction suggestion according to the evaluation result; wherein the guidance opinions include: problems and improved ways of training.
Optionally, the method further includes:
the training video is collected through the camera and is used for a teacher to check, and the standard patient is guided based on the training video.
Optionally, the method further includes, before initiating a training question through a preset device according to a scenario corresponding to a pre-edited training case, so that a standardized patient can answer the training question to form a dialog, the method further includes:
determining personal information of a standardized patient to be trained;
determining subject and case data for training;
and determining scripts corresponding to training cases to be completed by the virtual doctors and the standardized patients based on the subjects and the case data.
Optionally, the preset device includes a control chip and a speaker;
the control chip is internally stored with a preset program and used for controlling the loudspeaker to initiate a training problem according to a script corresponding to a training case edited in advance.
According to a fourth aspect of embodiments of the present application, there is provided training apparatus comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the in-memory executable instructions to implement a method of standardized patient training based on speech recognition technology as described in the first aspect of an embodiment of the present application.
The technical scheme provided by the embodiment of the application can have the following beneficial effects: the embodiment of the application provides a method for training standardized patients through a preset method and equipment, and the standardized patients can be helped to learn how to better simulate the response of the actual patients without the guidance of experienced doctors in the training process. In the initial stage of training a standardized patient, the standardized patient needs to be helped to be familiar with how a real patient answers when facing questions of a doctor and how to answer the physical condition of the patient to the doctor by continuously and repeatedly simulating the conversation between the real patient and the doctor; acquiring conversation contents of a standardized patient through a microphone array device; recognizing and analyzing the conversation content of the standardized patient, and converting the audio data of the standardized patient response into text content; separating the text contents converted by the voice recognition module into a plurality of keywords; matching and inquiring the keywords and preset keywords of the inquiry standard script of the current case; and judging whether the conversation content meets the training flow specification and the professional specification or not, and outputting a judgment result. The standardized patient can check the judgment result to know the actual effect of the patient, understand the place where the patient needs to be improved, and can be examined by the method provided by the application. In summary, the scheme provided by the application can provide convenience for the training of standardized patients, so that the dependence on specialized doctors in the training process of the standardized patients is reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
FIG. 1 is a flow diagram illustrating a method of standardized patient training based on speech recognition technology, according to an exemplary embodiment.
Fig. 2 is a block diagram illustrating a standardized patient training apparatus based on speech recognition technology according to another exemplary embodiment.
Fig. 3 is a flow diagram illustrating a method of standardized patient training based on speech recognition technology, according to another exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
First, an application scenario of the embodiment of the present invention is explained, and it is generally required to standardize the coordination of patients in the training process of doctors, especially the inquiry process. The inquiry is an important means for the doctor to clinically diagnose the patient, and is a skill that each doctor must be skilled before becoming a doctor. Repeated training and consolidation is required throughout the medical learning process. The current practice is to standardize patients to complete the training of the inquiry. Firstly, the personnel meeting the conditions need to be selected, after standardization and systematization training, the clinical patients are simulated through means of performance, make-up, props and the like, and the trainers are matched with the decorated clinical patients in a field or remote video mode to complete the training. Such a standardized patient simulation level will directly affect the medical level of the trainee. Standardized patients are described in more detail below.
The standardized patient refers to a person who can be trained to simulate the symptoms of clinical patients constantly and vividly, record and evaluate the clinical operation skills of medical students according to a specially designed form experienced by the patient, and serve as a teacher to give feedback to the students. At present, standardized patients play more and more important roles in various fields of clinical teaching, examination, evaluation, training and the like of medical students and doctors in multiple countries.
Standardized patients must have the ability to feed back to medical students, in addition to the ability to impersonate the patient, observe the lines of the medical student, recall interviews and complete the entry form.
The standardized patients are used as different individuals, and have large differences in social background, education degree, character characteristics, comprehension ability, reaction ability and expression ability, which serve as potential factors and psychologically and even subconsciously influence the performance evaluation of different students.
Therefore, standardized patients need to be trained systematically and standardly before being qualified for clinical teaching. The existing training means mainly adopts a teacher line to carry out opposite-face training and teaching, wherein a plurality of stages such as teacher demonstration, grouping playing practice, comment tutoring and the like are required, the whole process requires the teacher to participate in the whole process, demonstrate, guide and comment, the teacher and the teacher take up the force seriously, the training scale is too small, the training times are limited, and the training efficiency is in urgent need of improvement.
The main purpose of the solution provided in the embodiments of the present invention is to improve the efficiency of training for standardized patients and to reduce the need for professional training professors or training doctors during the training process.
FIG. 1 is a flow diagram illustrating a method of standardized patient training based on speech recognition technology, according to an exemplary embodiment. As shown in fig. 1, the standardized patient training method based on the voice recognition technology includes the following steps.
In step S11, according to a scenario corresponding to a pre-edited training case, initiating a training question through a preset device for a standardized patient to answer, and forming a dialog;
in step S12, acquiring conversation contents of the standardized patient through a microphone array device;
in step S13, recognizing and interpreting the conversation contents of the standardized patient, converting the audio data of the standardized patient response into text contents;
in step S14, the text content converted by the speech recognition module is separated into a plurality of keywords; matching and inquiring the keywords and preset keywords of the inquiry standard script of the current case;
in step S15, it is determined whether or not the dialogue contents conform to the flow specification and professional specification of training, and the determination result is output.
The technical scheme provided by the embodiment of the application can have the following beneficial effects: the embodiment of the application provides a method for training standardized patients through a preset method and equipment, and the standardized patients can be helped to learn how to better simulate the response of the actual patients without the guidance of experienced doctors in the training process. In the initial stage of training a standardized patient, the standardized patient is helped to be familiar with how a real patient answers when facing questions of a doctor and how to answer the physical condition of the patient to the doctor by continuously and repeatedly simulating the conversation between the real patient and the doctor, in the scheme provided by the application, a preset device initiates a training question for the standardized patient to answer according to a script corresponding to a pre-edited training case, so as to form the conversation; acquiring conversation contents of a standardized patient through a microphone array device; recognizing and analyzing the conversation content of the standardized patient, and converting the audio data of the standardized patient response into text content; separating the text contents converted by the voice recognition module into a plurality of keywords; matching and inquiring the keywords and preset keywords of the inquiry standard script of the current case; and judging whether the conversation content meets the training flow specification and the professional specification or not, and outputting a judgment result. The standardized patient can check the judgment result to know the actual effect of the patient, understand the place where the patient needs to be improved, and can be examined by the method provided by the application. In summary, the scheme provided by the application can provide convenience for the training of standardized patients, so that the dependence on specialized doctors in the training process of the standardized patients is reduced.
Further, in step S15, recording and counting the dialog contents of the standardized patient, and giving complete training statistics and detail analysis according to the evaluation rules of the current training content;
specifically, for example, the question is "dizziness", the standard answer is "dizziness", and the standardized patient answer is "not dizziness". Then the error is displayed and the correct answer is presented to the standardized patient during the training statistics and detailed analysis.
Further, in step S15, a virtual instructor instruction opinion is given according to the evaluation result; wherein the guidance opinions include: problems and improved ways of training.
Specifically, the improvement may be to standardize the mood of the patient in the response or the content of the response. It is possible to eliminate places where standardized patients have incorrect performance.
Of course, the scheme provided by the present application further includes: the training video is collected through the camera and is used for a teacher to check, and the standard patient is guided based on the training video. More questions can be seen with human guidance.
In practical application, before step S11, the method further includes:
determining personal information of a standardized patient to be trained;
determining subject and case data for training;
and determining scripts corresponding to training cases to be completed by the virtual doctors and the standardized patients based on the subjects and the case data.
It should be noted that the preset device includes a control chip and a speaker;
the control chip is internally stored with a preset program and used for controlling the loudspeaker to initiate a training problem according to a script corresponding to a training case edited in advance.
Fig. 2 is a block diagram illustrating a standardized patient training apparatus based on speech recognition technology according to another exemplary embodiment. Referring to fig. 2, the present application provides a standardized patient training apparatus based on speech recognition technology, comprising:
the virtual doctor module 21 is used for simulating a doctor in the training and practicing process of the standardized patient, and initiating a training question for the standardized patient to answer according to a script corresponding to a pre-edited training case to form a conversation;
a data acquisition module 22 for acquiring the conversation content of the standardized patient through a microphone array device;
and the voice recognition module 23 is used for converting the audio data of the standardized patient answers into text contents.
The voice recognition module 23 is also used for recognizing and analyzing the conversation content of the standardized patient and converting the audio data of the standardized patient response into text content;
the training evaluation module 24 is used for separating the text content converted by the voice recognition module into a plurality of keywords; matching and inquiring the keywords and preset keywords of the inquiry standard script of the current case; and judging whether the conversation content meets the training flow specification and the professional specification or not, and outputting a judgment result.
The training evaluation module is also used for recording and counting the conversation content of the standardized patient and giving out complete training statistics and detail analysis according to the evaluation rule of the current training content;
giving a virtual instructor instruction suggestion according to the evaluation result; wherein the guidance opinions include: problems and improved ways of training.
The data acquisition module further comprises: a camera;
the data acquisition module is also used for acquiring training videos for a teacher to check and guiding standardized patients based on the training videos.
The virtual doctor module is further configured to: determining personal information of a standardized patient to be trained; determining subject and case data for training; and determining scripts corresponding to training cases to be completed by the virtual doctors and the standardized patients based on the subjects and the case data.
The virtual doctor module comprises a control chip and a loudspeaker;
the control chip is internally stored with a preset program and used for controlling the loudspeaker to initiate a training problem according to a script corresponding to a training case edited in advance.
To sum up, specifically, the data acquisition module: training video and audio data required by the invention are collected through a camera and a microphone array device. The video data is used primarily to record the training process for later review and review by teachers. The audio data is used by the speech recognition module to recognize and interpret the dialog content of the standardized patient.
A virtual doctor module: a doctor in the training and practicing process of the simulated standardized patient initiates a training question according to a script corresponding to a training case edited in advance, and then the standardized patient answers the training question through a microphone.
A voice recognition module: responsible for converting the audio data of the standardized patient responses into textual content.
Training monitoring module: and separating the text content converted by the voice recognition module into a plurality of keywords. And matching and inquiring the keywords and preset inquiry standard script keywords of the current case. And judging whether the answer content meets the training flow specification and the professional specification or not, and recording the training conversation which does not meet the specification.
A training evaluation module: recording and counting the detection result of the physical examination monitoring module and the operation behavior of the trainer, and giving out complete training statistics and detail analysis according to the evaluation rule of the current training content. According to the evaluation result, giving out virtual instructor's guidance opinions so that the trainer can know the existing problems and how to improve the training result
A data acquisition module: training video and audio data required by the invention are collected through a camera and a microphone array device. The video data is used primarily to record the training process for later review and review by teachers. The audio data is used by the speech recognition module to recognize and interpret the dialog content of the standardized patient.
A virtual doctor module: a doctor in the training and practicing process of the simulated standardized patient initiates a training question according to a script corresponding to a training case edited in advance, and then the standardized patient answers the training question through a microphone.
A voice recognition module: responsible for converting the audio data of the standardized patient responses into textual content.
Training monitoring module: and separating the text content converted by the voice recognition module into a plurality of keywords. And matching and inquiring the keywords and preset inquiry standard script keywords of the current case, and judging whether the answer content meets the flow specification and professional specification of training. And recording the training sessions which do not meet the standard.
A training evaluation module: recording and counting the detection result of the physical examination monitoring module and the operation behavior of the trainer, and giving out complete training statistics and detail analysis according to the evaluation rule of the current training content. According to the evaluation result, virtual instructor instruction opinions are given, so that a trainer can know the existing problems and how to improve, and the training result can be better achieved.
The method has the greatest value that in the inquiry training/examination, a trainer can independently complete the inquiry training and the examination without supervision and guidance of a teacher, the process of intelligently monitoring the inquiry training and the examination is realized, and standard evaluation results and training guidance can be given. The efficiency of the inquiry teaching training can be greatly improved through the invention.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 3 is a flow diagram illustrating a method of standardized patient training based on speech recognition technology, according to another exemplary embodiment. The standardized patient training method based on speech recognition technology provided in the present application is further described with reference to fig. 3.
In step S301, the camera and microphone array are turned on.
Specifically, the camera and the microphone array belong to a data acquisition module, and the whole process can be recorded by opening the camera and the microphone array at first.
In step S302, standardized patient staff information is entered.
Determining standardized patient staff information helps to aggregate relevant information and historical data of standardized patient staff and helps to understand training and progress of standardized patients.
In step S303, a subject to be trained, case data, is selected.
In step S304, the inquiry standard scenario of the case is loaded as an evaluation rule.
In step S305, the standardized patient and the virtual doctor start an inquiry session.
It should be noted that the virtual doctor herein refers to a virtual doctor module, and is specifically used for simulating the problems of doctors in real life based on a preset program and according to preset data information.
In step S306, the video of the inquiry process of the standardized patient and the virtual doctor is recorded in real time for the instructor to view and review.
The instructor can be a professional physician or a person involved in educating and training a standardized patient.
In step S307, real-time monitoring identifies standardized patient audio data and converts the audio data into text.
It should be noted that converting audio information into text is a relatively mature technology. Reference may be made in particular to the various speech input software present. Of course, to make speech recognition more accurate, the system may be adjusted based on the commonly used vocabulary of the medical scenario.
In step S308, the text is separated into a plurality of keywords.
In step S309, by comparing the dialogue keyword with the standard dialogue keyword, it is checked whether the dialogue content per sentence is normal, and a score is given to the dialogue.
It should be noted that the scoring system is pre-established, and the difference between each sentence and the preset content can be checked for scoring. Of course, in an actual scoring system, a plurality of answers may be provided to the same question, and a score corresponding to each answer is determined.
In step S310, the training ends.
In step S311, the standardized patient session content is counted and evaluated, and training results and guidance advice are given. It should be noted that the achievement and guidance suggestions made herein mainly include two types, one is to give guidance suggestions to standardized patients based on the existing system and the information preset in the system, specifically for example: and outputting standard answers corresponding to the parts with lower standard patient scores. Another category is the more targeted opinion given by the professional based on the actual performance of the standardized patient.
The technical scheme provided by the embodiment of the application can have the following beneficial effects: the embodiment of the application provides a method for training standardized patients through a preset method and equipment, and the standardized patients can be helped to learn how to better simulate the response of the actual patients without the guidance of experienced doctors in the training process. In the initial stage of training a standardized patient, the standardized patient is helped to be familiar with how a real patient answers when facing questions of a doctor and how to answer the physical condition of the patient to the doctor by continuously and repeatedly simulating the conversation between the real patient and the doctor, in the scheme provided by the application, a preset device initiates a training question for the standardized patient to answer according to a script corresponding to a pre-edited training case, so as to form the conversation; acquiring conversation contents of a standardized patient through a microphone array device; recognizing and analyzing the conversation content of the standardized patient, and converting the audio data of the standardized patient response into text content; separating the text contents converted by the voice recognition module into a plurality of keywords; matching and inquiring the keywords and preset keywords of the inquiry standard script of the current case; and judging whether the conversation content meets the training flow specification and the professional specification or not, and outputting a judgment result. The standardized patient can check the judgment result to know the actual effect of the patient, understand the place where the patient needs to be improved, and can be examined by the method provided by the application. In summary, the scheme provided by the application can provide convenience for the training of standardized patients, and meanwhile, the dependence on specialized doctors in the training process of the standardized patients is reduced, so that the dependence on the specialized doctors in the training process of the standardized patients is reduced.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A method for standardized patient training based on speech recognition technology, comprising:
initiating a training question through preset equipment according to a script corresponding to a pre-edited training case, so that a standardized patient can answer the training question to form a conversation;
acquiring conversation contents of a standardized patient through a microphone array device;
recognizing and analyzing the conversation content of the standardized patient, and converting the audio data of the standardized patient response into text content;
separating the text contents converted by the voice recognition module into a plurality of keywords; matching and inquiring the keywords and preset keywords of the inquiry standard script of the current case;
and judging whether the conversation content meets the training flow specification and the professional specification or not, and outputting a judgment result.
2. The method of claim 1, further comprising:
recording and counting the conversation content of the standardized patient, and giving complete training statistics and detail analysis according to the evaluation rule of the current training content;
giving a virtual instructor instruction suggestion according to the evaluation result; wherein the guidance opinions include: problems and improved ways of training.
3. The method of claim 1, further comprising:
the training video is collected through the camera and is used for a teacher to check, and the standard patient is guided based on the training video.
4. The method for standardized patient training based on speech recognition technology as claimed in claim 1, wherein the training questions are initiated by the pre-set equipment according to the scenario corresponding to the pre-edited training case for the standardized patient to answer, and form a dialog, before, further comprising:
determining personal information of a standardized patient to be trained;
determining subject and case data to be trained;
and determining scripts corresponding to training cases to be completed by the virtual doctors and the standardized patients based on the subjects and the case data.
5. The standardized patient training method based on the voice recognition technology as claimed in claim 1, wherein the preset device comprises a control chip and a speaker;
the control chip is internally stored with a preset program and used for controlling the loudspeaker to initiate a training problem according to a script corresponding to a training case edited in advance.
6. A standardized patient training apparatus based on speech recognition technology, comprising:
the virtual doctor module is used for simulating doctors in the training and practicing process of the standardized patients, initiating training questions according to scripts corresponding to pre-edited training cases, and allowing the standardized patients to answer the questions to form a conversation;
the data acquisition module is used for acquiring conversation contents of the standardized patients through the microphone array equipment;
the voice recognition module is used for converting the audio data of the standardized patient answers into text contents;
the voice recognition module is also used for recognizing and analyzing the conversation content of the standardized patient and converting the audio data answered by the standardized patient into text content;
the training evaluation module is used for separating the text content converted by the voice recognition module into a plurality of keywords; matching and inquiring the keywords and preset keywords of the inquiry standard script of the current case; and judging whether the conversation content meets the training flow specification and the professional specification or not, and outputting a judgment result.
7. The standardized patient training apparatus based on the voice recognition technology as claimed in claim 6, wherein the training evaluation module is further configured to record and count the dialogue content of the standardized patient, and to give complete training statistics and detail analysis according to the evaluation rule of the current training content;
giving a virtual instructor instruction suggestion according to the evaluation result; wherein the guidance opinions include: problems and improved ways of training.
8. The standardized patient training apparatus based on speech recognition technology as claimed in claim 6, wherein the data acquisition module further comprises: a camera;
the data acquisition module is also used for acquiring training videos for a teacher to check and guiding standardized patients based on the training videos.
9. The standardized patient training apparatus based on speech recognition technology as claimed in claim 6, wherein the virtual doctor module is further configured to: determining personal information of a standardized patient to be trained; determining subject and case data to be trained; and determining scripts corresponding to training cases to be completed by the virtual doctors and the standardized patients based on the subjects and the case data.
10. The standardized patient training apparatus based on the voice recognition technology as claimed in claim 6, wherein the virtual doctor module comprises a control chip and a speaker;
the control chip is internally stored with a preset program and used for controlling the loudspeaker to initiate a training problem according to a script corresponding to a training case edited in advance.
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