CN112259182B - Method and device for generating electronic medical record - Google Patents
Method and device for generating electronic medical record Download PDFInfo
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- CN112259182B CN112259182B CN202011223959.3A CN202011223959A CN112259182B CN 112259182 B CN112259182 B CN 112259182B CN 202011223959 A CN202011223959 A CN 202011223959A CN 112259182 B CN112259182 B CN 112259182B
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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Abstract
The application provides a method and a device for generating an electronic medical record, relates to the technical field of computers, and solves the problem of low efficiency in the process of generating the electronic medical record. The method comprises the following steps: acquiring and identifying audio information to obtain original text information and original pinyin information; preprocessing the original text information and the original pinyin information to obtain at least one word and pinyin of the at least one word; executing a first operation on the pinyin of each word to obtain a medical word corresponding to the pinyin of each word; in the original text information, replacing each word with a medical word corresponding to the pinyin of each word to obtain primary text information; processing the primary text information by using a natural language processing mode based on the repair structure to obtain target text information; and generating an electronic medical record according to the target text information. The embodiment of the application is applied to the generation of the electronic medical record.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a method and a device for generating an electronic medical record.
Background
At present, medical record information set forth by medical staff is usually identified by calling a pre-trained electronic medical record voice recognition model, then the identification result is written into an electronic medical record system, and then the medical staff checks and clicks and submits the medical record to generate an electronic medical record (electronic medical record, EMR).
In the early stage of generating the electronic medical record, a large number of recording files with medical professional terms are required to be used for training and generating an electronic medical record voice recognition model, and in the later stage of generating the electronic medical record, medical staff is required to explain medical record information for voice recognition. The method for generating the electronic medical record not only consumes manpower and material resources, but also has lower efficiency for generating the electronic medical record.
Disclosure of Invention
The application provides a method and a device for generating an electronic medical record, which solve the problem of lower efficiency in the process of generating the electronic medical record.
In a first aspect, the present application provides a method for generating an electronic medical record, which is applied to a generating device of the electronic medical record, and the method includes: the electronic medical record generating device firstly acquires and identifies the audio information to obtain the original text information and the original pinyin information. And then, the electronic medical record generating device preprocesses the original text information and the original pinyin information to obtain at least one word and the pinyin of the at least one word, and performs a first operation on the pinyin of each word to obtain the medical word corresponding to the pinyin of each word. Then, the generating device of the electronic medical record replaces each word with a medical word corresponding to the pinyin of each word in the original word information to obtain primary word information, and processes the primary word information by using a natural language processing mode based on the repair structure to obtain target word information. And finally, the electronic medical record generating device generates the electronic medical record according to the target text information.
Wherein the first operation is: in a preset corresponding relation, the generating device of the electronic medical record inquires and acquires medical words corresponding to the first pinyin. The first pinyin is the pinyin of any one of the at least one word; the preset corresponding relation is the corresponding relation between the medical words and the pinyin of the medical words. The audio information includes physiological health data of the patient.
In the above scheme, the generating device of the electronic medical record identifies the audio information as the original pinyin information and the original text information, and preprocesses the original pinyin information and the original text information to obtain a plurality of words and pinyin of the plurality of words. And then matching the medical words according to the pinyin, and replacing the medical words into the original text information to obtain the primary text information. And finally, processing the primary text information by using a natural language processing mode based on the structure of the paraphrasing to obtain target text information, and generating an electronic medical record according to the target text information. Therefore, the voice recognition can be directly carried out by using the audio information comprising the illness state of the patient, the process of setting forth the medical record information by medical staff is avoided, the time and energy of the medical staff are saved on the basis of guaranteeing the integrity of the generated electronic medical record, and the generation efficiency of the electronic medical record is improved. In addition, the training of the electronic medical record voice recognition model by using a large number of recording files is avoided, and manpower and material resources are further saved.
In a second aspect, the present application provides a device for generating an electronic medical record, including: the acquisition module is used for acquiring and identifying the audio information to obtain the original text information and the original pinyin information. The processing module is used for preprocessing the original text information and the original pinyin information to obtain at least one word and the pinyin of the at least one word, and executing a first operation on the pinyin of each word to obtain the medical word corresponding to the pinyin of each word. And the replacement module is used for replacing each word with the medical word corresponding to the pinyin of each word in the original word information to obtain the primary word information. And the processing module is also used for processing the primary text information by using a natural language processing mode based on the repair structure to obtain target text information. And the generating module is used for generating the electronic medical record according to the target text information.
Wherein the first operation is: and inquiring and acquiring medical terms corresponding to the first pinyin in a preset corresponding relation. The first pinyin is the pinyin of any one of the at least one word; the preset corresponding relation is the corresponding relation between the medical words and the pinyin of the medical words. The audio information includes physiological health data of the patient.
In a third aspect, the present application provides an electronic medical record generating device, including a processor, where the processor executes computer-executable instructions to cause the electronic medical record generating device to perform the method for generating an electronic medical record as described above.
In a fourth aspect, the present application provides a computer readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform a method of generating an electronic medical record as described above.
In a fifth aspect, the present application provides a computer program product comprising instruction code for performing a method of generating an electronic medical record as described above.
It should be appreciated that any of the above-mentioned generating apparatus, computer-readable storage medium or computer program product for electronic medical records is used to perform the above-mentioned method, and thus, the advantages achieved by the generating apparatus, computer-readable storage medium or computer program product are referred to the above-mentioned method and the advantages of the corresponding scheme in the following detailed description, which are not repeated herein.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic hardware structure of a generating device for electronic medical records according to an embodiment of the present application;
fig. 2 is a flow chart of a method for generating an electronic medical record according to an embodiment of the present application;
fig. 3 is a schematic view of a scenario for generating an electronic medical record according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a generating device for electronic medical records according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In embodiments of the application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
The terms "first" and "second" are used below for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the embodiments of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
Electronic medical records are medical records that are stored, managed, transferred, and reproduced using electronic devices (e.g., computers, health cards, etc.). The system can provide physiological health data of patients for medical staff completely and accurately, and can also provide the capabilities of warning, prompting, clinical decision support and the like.
In the existing emergency electronic medical record system, the generation mode of the electronic medical record is generally as follows: before generating an electronic medical record, a great number of medical technical term texts are required to be manually collected, and recording files of a great number of medical technical terms are required to be recorded, wherein the recording files are in one-to-one correspondence with the texts. And then, training and generating an electronic medical record voice recognition model by taking the record file and the text as sample data. And then transplanting the electronic medical record voice recognition model to an emergency electronic medical record system. When the electronic medical record duration is required to be generated, medical staff clicks a recording button on the emergency electronic medical record system to describe medical record information. After the recording is finished, the first-aid electronic medical record system calls the electronic medical record voice recognition model to recognize the recording file, and the recognition result is automatically written into the electronic medical record template. Finally, the medical staff checks and clicks and submits the data.
It can be seen that in the above-mentioned electronic medical record generating process, firstly, an electronic medical record speech recognition model capable of recognizing medical terms needs to be generated, and the model needs to be generated after training and testing by using a large number of recording files of medical terms and texts of medical terms. The generation of these audio recordings and technical texts requires a lot of costs and hospitals are often relatively closed, and medical data are often proprietary to the respective hospitals in view of security, which results in sample data (audio recordings and medical technical texts) not being shared between different hospitals. In addition, in the later stage of electronic medical record generation, medical staff is required to click a recording button for voice input. Thus, time and effort are consumed by medical staff. In addition, in order to ensure the voice quality, the existing emergency electronic medical record system is generally matched with electronic equipment such as voice input equipment and the like, so that certain cost is increased. Therefore, the existing generation mode of the electronic medical record not only consumes manpower and material resources, but also has lower efficiency of generating the electronic medical record.
Aiming at the problems, the application provides a method and a device for generating an electronic medical record, wherein the method for generating the electronic medical record specifically comprises the following steps: the audio information is converted into original pinyin information and original text information, and the original pinyin information and the original text information are preprocessed to obtain the pinyin of a plurality of words and a plurality of words. And then matching the medical words according to the pinyin, and replacing the medical words into the original text information to obtain the primary text information. And finally, processing the primary text information by using a natural language processing mode based on the structure of the paraphrasing to obtain target text information, and generating an electronic medical record according to the target text information. Therefore, medical staff can be prevented from describing the flow of medical record information, and on the basis of guaranteeing the integrity of the generated electronic medical record, the time and energy of the medical staff are saved, and the generation efficiency of the electronic medical record is improved.
In a specific implementation, the electronic medical record generating device has components as shown in fig. 1. Fig. 1 is a schematic diagram of an electronic medical record generating device according to an embodiment of the present application, which may include at least one processor 102, where the processor 102 is configured to execute application program codes, so as to implement a method for generating an electronic medical record in the present application.
The processor 102 may be a central processing unit (central processing unit, CPU), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the program of the present application.
As shown in fig. 1, the electronic medical record generating device may further include a memory 103. The memory 103 is used for storing application program codes for executing the scheme of the application, and the execution is controlled by the processor 102.
The memory 103 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), a compact disc read-only memory (compact disc read-only memory) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 103 may be separate and coupled to the processor 102 via a bus 104. Memory 103 may also be integrated with processor 102.
As shown in fig. 1, the electronic medical record generating device may further include a communication interface 101, where the communication interface 101, the processor 102, and the memory 103 may be coupled to each other, for example, through a bus 104. The communication interface 101 is used for performing information interaction with other devices, for example, supporting information interaction between the generating device of the electronic medical record and the other devices.
It should be noted that the device structure shown in fig. 1 does not constitute a limitation of the electronic medical record generating apparatus, and the electronic medical record generating apparatus may include more or less components than those shown in fig. 1, or may combine some components, or may be arranged with different components.
The method for generating the electronic medical record according to the embodiment of the present application is described below with reference to fig. 2 in conjunction with the apparatus for generating the electronic medical record shown in fig. 1.
Fig. 2 is a flow chart of a method for generating an electronic medical record according to an embodiment of the present application. Referring to fig. 2, the method for generating the electronic medical record includes the following steps.
201. The generating device of the electronic medical record acquires and identifies the audio information to obtain the original text information and the original pinyin information.
Wherein the audio information comprises physiological health data of the patient.
Specifically, the generating device of the electronic medical record can acquire the audio information by saving the call record. For example, fig. 3 is a scenario for generating an electronic medical record according to an embodiment of the present application. Referring to fig. 3, the scenario includes a terminal 31 where a patient is located, a generation device 33 for electronic medical records located on an emergency ambulance, and an emergency terminal 32 of a hospital. When the emergency terminal 32 receives the emergency call from the terminal 31, the hospital will send an emergency vehicle to the patient's location for rescue. On the way to the patient's location, the onboard medical staff invokes the mobile phone call function through the electronic medical record generating device 33, and initiates a call request to the terminal 31 to inquire about the current condition of the patient, past medical history and other information. After the call is ended, the electronic medical record generating device 33 saves the call record to obtain audio information.
Of course, the generating device of the electronic medical record can also acquire the audio information in a recording mode. For example, when medical staff inquires, a recording function of the electronic medical record generating device is started, and when the inquiry is finished, the electronic medical record generating device stores inquiry records to obtain audio information.
And then, the generating device of the electronic medical record identifies the audio information to obtain the original text information and the original pinyin information.
Specifically, the electronic medical record generating device converts the audio information into the original text information and the original pinyin information by using an automatic speech recognition technology (automatic speech recognition, ASR).
202. The electronic medical record generating device preprocesses the original text information and the original pinyin information to obtain at least one word and the pinyin of the at least one word.
Wherein the preprocessing comprises at least one of the following operations: word segmentation operation and deletion stop word operation.
Specifically, for example, the generating device of the electronic medical record uses a word segmentation tool to segment the original text information, and deletes the stop word to obtain at least one word. The generating device of the electronic medical record uses a word segmentation tool to segment the original pinyin information, and deletes the stop word to obtain the pinyin of at least one word.
203. And the generating device of the electronic medical record executes a first operation on the pinyin of each word to obtain the medical word corresponding to the pinyin of each word.
Wherein the first operation is: and inquiring and acquiring medical terms corresponding to the first pinyin in a preset corresponding relation. The first pinyin is a pinyin of any one of the at least one word. The preset corresponding relation is the corresponding relation between the medical words and the pinyin of the medical words. It should be noted that, in the preset correspondence, the pinyin of the same medical term may correspond to a plurality of medical terms, for example, the pinyin of the medical term is "xin lv" and the corresponding medical term has "heart rate" and "heart rhythm", so that when the medical term corresponding to the first pinyin is queried and obtained, one medical term of the plurality of medical terms is arbitrarily selected as the medical term corresponding to the first pinyin.
204. The generating device of the electronic medical record replaces each word with the medical word corresponding to the pinyin of each word in the original word information to obtain primary word information.
205. The electronic medical record generating device processes the primary text information by using a natural language processing mode based on the structure of the paraphrasing to obtain target text information.
Specifically, a second operation is executed on each sentence in the primary text information, and the target text information is obtained. The second operation is as follows: the first sentence is verified using a natural language processing scheme based on the fix-up structure. If the verification is successful, determining the first sentence as a sentence in the target text information. If the verification fails, determining the second sentence as the sentence in the target text information. The first sentence is any sentence in the primary text information. The second sentence is a sentence corresponding to the first sentence in the original text information.
Optionally, when the pinyin of the same medical term corresponds to a plurality of medical terms in the preset corresponding relation, selecting the first term as the medical term corresponding to the first pinyin, and replacing the first term into the original text information. And then, checking the sentence corresponding to the first word by using a natural language processing mode based on the correction structure, when the sentence corresponding to the first word fails to be checked, selecting a second word as a medical word corresponding to the first pinyin, replacing the medical word into the original text information, and continuing to check until the check is successful or after the check fails, determining the sentence in the target text information. Wherein the first term is any one of the plurality of medical terms, and the second term is any one of the plurality of medical terms different from the first term.
For example, the pinyin of the medical term is "heart rate" and "heart rhythm" corresponding to "xin lv", so that when the medical term corresponding to the first pinyin is queried and obtained, the "heart rate" is selected as the medical term corresponding to the first pinyin, and is replaced in the original text information. And then, checking the statement corresponding to the heart rate by using a natural language processing mode based on the structure of the paraphrasing, when the statement corresponding to the heart rate fails to be checked, selecting the heart rate as a medical word corresponding to the first pinyin, replacing the medical word into the original text information, continuing to check, if the check is successful, determining the statement corresponding to the heart rate as the statement in the target text information, and if the check is failed, determining the statement corresponding to the heart rate, wherein the statement corresponding to the original text information is the statement in the target text information.
206. The electronic medical record generating device generates the electronic medical record according to the target text information.
Specifically, the electronic medical record generating device performs structural decomposition on the target text information, writes the decomposed target text information into an electronic medical record template, and generates an electronic medical record.
In the above scheme, the generating device of the electronic medical record identifies the audio information as the original pinyin information and the original text information, and preprocesses the original pinyin information and the original text information to obtain a plurality of words and pinyin of the plurality of words. And then matching the medical words according to the pinyin, and replacing the medical words into the original text information to obtain the primary text information. And finally, processing the primary text information by using a natural language processing mode based on the structure of the paraphrasing to obtain target text information, and generating an electronic medical record according to the target text information. Therefore, the voice recognition can be directly carried out by using the audio information comprising the illness state of the patient, the process of setting forth the medical record information by medical staff is avoided, the time and energy of the medical staff are saved on the basis of guaranteeing the integrity of the generated electronic medical record, and the generation efficiency of the electronic medical record is improved. In addition, the training of the electronic medical record voice recognition model by using a large number of recording files is avoided, and manpower and material resources are further saved.
According to the embodiment of the application, the function modules of the electronic medical record generating device can be divided according to the method embodiment, for example, each function module can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present application, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.
The method provided by the embodiment of the application is described in detail above with reference to fig. 2. The device for generating an electronic medical record according to the embodiment of the present application is described in detail below with reference to fig. 4. It should be understood that the descriptions of the apparatus embodiments and the descriptions of the method embodiments correspond to each other, and thus, descriptions of details not described may be referred to the above method embodiments, which are not repeated herein for brevity.
Fig. 4 shows a schematic structural diagram of a generating device of an electronic medical record. The generating device of the electronic medical record comprises an obtaining module 41, a processing module 42, a replacing module 43 and a generating module 44.
The obtaining module 41 is configured to obtain and identify the audio information, and obtain the original text information and the original pinyin information. The audio information includes physiological health data of the patient. For example, referring to fig. 2, the acquisition module 41 is configured to perform step 201. The processing module 42 is configured to pre-process the original text information and the original pinyin information acquired by the acquiring module 41 to obtain at least one word and pinyin of the at least one word. For example, referring to FIG. 2, the processing module 42 is configured to perform step 202. The processing module 42 is further configured to perform a first operation on the pinyin of each word, so as to obtain a medical word corresponding to the pinyin of each word. For example, referring to FIG. 2, the processing module 42 is also configured to perform step 203. Wherein the first operation is: and inquiring and acquiring medical terms corresponding to the first pinyin in a preset corresponding relation. The first pinyin is a pinyin of any one of the at least one word. The preset corresponding relation is the corresponding relation between the medical words and the pinyin of the medical words. The replacing module 43 is configured to replace each word with a medical word corresponding to the pinyin of each word obtained by the processing module 42 in the original text information obtained by the obtaining module 41, so as to obtain primary text information. For example, referring to FIG. 2, the replacement module 43 is configured to perform step 204. The processing module 42 is further configured to process the primary text information by using a natural language processing manner based on the structure of the paraphrasing, so as to obtain the target text information. For example, referring to FIG. 2, the processing module 42 is also configured to perform step 205. The generating module 44 is configured to generate an electronic medical record according to the target text information. For example, referring to FIG. 2, the generation module 44 is configured to perform step 206.
Optionally, the processing module 42 is specifically configured to: and executing a second operation on each sentence in the primary text information to obtain the target text information. The second operation is as follows: the first sentence is verified using a natural language processing scheme based on the fix-up structure. If the verification is successful, determining the first sentence as a sentence in the target text information. If the verification fails, determining the second sentence as the sentence in the target text information. The first sentence is any sentence in the primary text information. The second sentence is a sentence corresponding to the first sentence in the original text information.
Optionally, the preprocessing includes at least one of: word segmentation operation and deletion stop word operation.
Optionally, the generating module 44 is specifically configured to: and carrying out structural decomposition on the target text information, and writing the decomposed target text information into an electronic medical record template to generate an electronic medical record.
Another embodiment of the present application further provides a computer readable storage medium having instructions stored therein that, when executed on an electronic medical record generating device, perform the steps in the electronic medical record generating method of the embodiment shown in fig. 2.
In another embodiment of the present application, there is also provided a computer program product comprising computer-executable instructions stored in a computer-readable storage medium; the processor of the electronic medical record generating device may read the computer-executable instructions from the computer-readable storage medium, and the processor executes the computer-executable instructions to cause the electronic medical record generating device to perform the steps in the electronic medical record generating method according to the embodiment shown in fig. 2.
All relevant contents of each step related to the above method embodiment may be cited to the functional descriptions of the corresponding functional modules, and their effects are not described herein.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative modules, units, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the device embodiments described above are merely illustrative, and for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, indirect coupling or communication connection of devices or units, electrical, mechanical, or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory), a magnetic disk or an optical disk, etc., which can store program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. The method for generating the electronic medical record is characterized by comprising the following steps of:
acquiring and identifying audio information to obtain original text information and original pinyin information; the audio information includes physiological health data of the patient;
preprocessing the original text information and the original pinyin information to obtain at least one word and pinyin of the at least one word;
executing a first operation on the pinyin of each word to obtain a medical word corresponding to the pinyin of each word; the first operation is: inquiring and acquiring medical terms corresponding to the first pinyin in a preset corresponding relation; the first pinyin is pinyin of any one word of the at least one word; the preset corresponding relation is the corresponding relation between the medical words and the pinyin of the medical words;
in the original text information, replacing each word with a medical word corresponding to the pinyin of each word to obtain primary text information;
processing the primary text information by using a natural language processing mode based on a repair structure to obtain target text information;
generating an electronic medical record according to the target text information;
the processing the primary text information by using a natural language processing mode based on a paraphrasing structure to obtain target text information comprises the following steps:
executing a second operation on each sentence in the primary text information to obtain target text information;
the second operation is: checking the first sentence by using a natural language processing mode based on the repair structure; if the verification is successful, determining the first sentence as a sentence in the target text information; if the verification fails, determining the second sentence as the sentence in the target text information; the first sentence is any sentence in the primary text information; the second sentence is a sentence corresponding to the first sentence in the original text information.
2. The method of generating of claim 1, wherein the preprocessing comprises at least one of: word segmentation operation and deletion stop word operation.
3. The method of generating as claimed in claim 1, wherein generating an electronic medical record from the target text information comprises:
and carrying out structural decomposition on the target text information, writing the decomposed target text information into an electronic medical record template, and generating an electronic medical record.
4. The device for generating the electronic medical record is characterized by comprising the following components:
the acquisition module is used for acquiring and identifying the audio information to obtain the original text information and the original pinyin information; the audio information includes physiological health data of the patient;
the processing module is used for preprocessing the original text information and the original pinyin information acquired by the acquisition module to acquire at least one word and pinyin of the at least one word;
the processing module is further used for executing a first operation on the pinyin of each word to obtain a medical word corresponding to the pinyin of each word; the first operation is: inquiring and acquiring medical terms corresponding to the first pinyin in a preset corresponding relation; the first pinyin is pinyin of any one word of the at least one word; the preset corresponding relation is the corresponding relation between the medical words and the pinyin of the medical words;
the replacing module is used for replacing each word with the medical word corresponding to the pinyin of each word obtained by the processing module in the original word information obtained by the obtaining module to obtain primary word information;
the processing module is also used for processing the primary text information by using a natural language processing mode based on the repair structure to obtain target text information;
the generation module is used for generating an electronic medical record according to the target text information;
the processing module is specifically configured to:
executing a second operation on each sentence in the primary text information to obtain target text information;
the second operation is: checking the first sentence by using a natural language processing mode based on the repair structure; if the verification is successful, determining the first sentence as a sentence in the target text information; if the verification fails, determining the second sentence as the sentence in the target text information; the first sentence is any sentence in the primary text information; the second sentence is a sentence corresponding to the first sentence in the original text information.
5. The generating device of claim 4, wherein the preprocessing comprises at least one of: word segmentation operation and deletion stop word operation.
6. The apparatus of claim 4, wherein the generating means,
the generating module is specifically configured to:
and carrying out structural decomposition on the target text information, writing the decomposed target text information into an electronic medical record template, and generating an electronic medical record.
7. An electronic medical record generating device, comprising a processor, wherein the processor executes computer-executable instructions to cause the electronic medical record generating device to perform the electronic medical record generating method according to any one of claims 1-3.
8. A computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of generating an electronic medical record as claimed in any one of claims 1 to 3.
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