CN112562813A - Intelligent generation method and system of electronic medical record for emergency call - Google Patents
Intelligent generation method and system of electronic medical record for emergency call Download PDFInfo
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Abstract
The invention discloses an electronic medical record intelligent generation method and system aiming at emergency call, wherein the method comprises the following steps: 1) establishing a mapping relation F between a question-answer template corresponding to a graded response plan in the emergency system and an emergency medical record template: 2) converting the voice data V into text content T; 3) extracting personal information P of the patient; 4) extracting a main complaint text D and a current medical history text R of the patient; 5) assessing a first aid rating L of the patient; 6) and summarizing the personal information P, the chief complaint text D, the current medical history text R and the emergency level L of the patient, and automatically generating the electronic emergency medical record of the patient. The invention can automatically generate the electronic emergency medical record with comprehensive and rich information according to the voice conversation record of the emergency call telephone, and can facilitate doctors to know the specific condition of patients; the invention can improve the standard, accurate and comprehensive information electronic medical record, improve the efficiency, reduce the workload of doctors and have good application prospect.
Description
Technical Field
The invention relates to the technical field of electronic medical records, in particular to an electronic medical record intelligent generation method and system aiming at emergency call.
Background
After the emergency patient calls for help for emergency, an electronic medical record text for recording the emergency patient can be generated in the emergency center system, and errors such as text description loss, irregular description, inaccurate disease description, missing information, contradiction of front and back information and the like can occur in the process due to short time for writing the emergency medical record, so that the report of the emergency electronic medical record is possibly irregular.
In the existing system, the operator usually enters the emergency medical record in the emergency dialogue process in a simple way, and the operator may forget the entry. Therefore, the technology of natural language processing is utilized to intelligently generate the emergency medical record, the calling information of the emergency record can be ensured to be more comprehensive, the emergency record can be more conveniently sent to a hospital to know the condition of a patient in advance, and a reliable scheme is lacked at present.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an intelligent method and system for generating an electronic medical record for emergency call, aiming at the above deficiencies in the prior art.
In order to solve the technical problems, the invention adopts the technical scheme that: an electronic medical record intelligent generation method for emergency calls comprises the following steps:
1) establishing a mapping relation F between a question-answer template corresponding to a graded response plan in the emergency system and an emergency medical record template:
1-1) screening the question branches in the question-answer template of the graded response plan and listing all the question paths;
1-2) selecting item information C which needs to be automatically generated according to an emergency medical record template, wherein the item information C at least comprises personal information P, a chief complaint text D and a current medical history text R of a patient;
1-3) constructing one-to-one or many-to-one mapping relation F between all questions Q of the question-answer template and all item information C of the emergency medical record template so as to show the corresponding relation between the answer A aiming at the questions and the item information C in the emergency medical record template;
2) converting voice data V of a conversation record of the emergency call telephone into text content T by using a voice recognition method, wherein the voice data V comprises questions proposed according to a question-answer template and answers aiming at the questions;
3) extracting the personal information P of the patient from the text content T obtained by the conversion in the step 2) by using an entity extraction method or a key dictionary extraction method;
4) extracting a main complaint text D and a current medical history text R of the patient from the text T obtained by conversion in the step 2) by using a text summarization method;
5) according to the patient complaint text D and/or the current medical history text R, assessing the emergency level L of the patient by using an intelligent grading method;
6) and summarizing the personal information P, the chief complaint text D, the current medical history text R and the emergency level L of the patient, and automatically generating the electronic emergency medical record of the patient.
Preferably, the step 2) specifically includes:
2-1) training a voice recognition model by using the past emergency dialogue data;
2-2) converting the voice data V of the session recording of the emergency call telephone into text content T by means of a voice recognition model.
Preferably, the step 3) specifically includes:
3-1) constructing an entity extraction algorithm model or a key dictionary extraction algorithm model capable of obtaining the personal information P of the patient from the text content by using the past data in advance;
3-2) to a certain question Q contained in the text content TiAnd corresponding answer content AiThe following treatments were carried out: firstly, obtaining a problem Q by using the mapping relation F obtained in the step 1)iCorresponding item information CiThen, the entry information C is determinediWhether or not it belongs to the personal information P;
3-3) if the item information C in step 3-2)iBelonging to the personal information P, the personal information P will be associated with the entry information CiCorresponding problem QiAnswer content A ofiInputting the personal information P of the patient into a pre-constructed entity extraction model or a key dictionary extraction modeli；
3-4) traversing all the questions Q and the corresponding answer contents A in the text contents T, and obtaining all the personal information P of the patient according to the methods from the step 3-2) to the step 3-3)all。
Preferably, the step 4) specifically includes:
4-1) constructing a text abstract algorithm model capable of obtaining a chief complaint text D and a current medical history text R of a patient from text contents by using past data in advance;
4-2) to a certain question Q contained in the text content TiAnd corresponding answer content AiThe following treatments were carried out: firstly, obtaining a problem Q by using the mapping relation F obtained in the step 1)iCorresponding item information CiThen, the entry information C is determinediWhether the subject belongs to the main complaint text D or the current medical history text R;
4-3) if the item information C in step 3-2)iBelonging to the main complaint text D or the current medical history text R, the item information C is associated withiCorresponding problem QiAnswer content A ofiInputting the data into a pre-constructed text abstract algorithm model so as to obtain a main complaint text D of the patientiAnd/or a medical history text Ri；
4-4) traversing all the questions Q and the corresponding answer contents A in the text contents T, and obtaining all the main complaint texts D of the patient according to the methods of the steps 3-2) to 3-3)allAnd current history text Rall。
Preferably, the step 5) specifically includes:
5-1) constructing a text classification algorithm model which can automatically generate the emergency level L of the patient through the chief complaint text D and/or the current medical history text R of the patient by utilizing the past data in advance;
5-2) the complaint text D of the patient obtained in the step 4)allAnd/or a medical history text RallInputting the information into the text classification algorithm model obtained in the step 5-1) to obtain the emergency level L of the patient.
Preferably, the step 6) specifically includes:
1) a case generation model for automatically generating an electronic case is constructed in advance;
2) the personal information P of the patients obtained from the steps 3) to 5) is usedallMain complaint text DallThe current medical history text RallAnd inputting the emergency grade L into the case generation model to automatically generate the electronic emergency medical record of the patient.
The invention also provides an intelligent electronic medical record generation system for emergency calls, which automatically generates an electronic medical record of a patient by using the conversation record of the emergency call telephone by adopting the method, and the system comprises:
the mapping relation establishing module is used for establishing a mapping relation F from a question-answer template of a graded response plan in the emergency system to an emergency medical record template;
a voice data conversion module for converting voice data V of a dialog record of the emergency call phone into text contents T by using a voice recognition method, the voice data V including questions posed according to the question-answer template and answers made to the questions;
a personal information extraction module for extracting the personal information P of the patient from the text content T by using an entity extraction or key dictionary extraction method;
a main complaint text and current medical history text extraction module which is used for extracting a main complaint text D and a current medical history text R of the patient from the text T obtained by the conversion in the step 2) by using a text summarization method;
the intelligent grading module is used for evaluating the emergency level L of the patient by an intelligent grading method according to the chief complaint text D and/or the current medical history text R of the patient;
and the electronic medical record generating module is used for summarizing the personal information P, the chief complaint text D, the current medical history text R and the emergency level L of the patient and automatically generating the electronic emergency medical record of the patient.
The invention also provides a storage medium having stored thereon a computer program which, when executed, is adapted to carry out the method as described above.
The invention also provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method as described above when executing the computer program.
The invention has the beneficial effects that:
the electronic emergency medical record of the patient can be automatically generated according to the voice conversation record of the emergency call telephone, and the electronic emergency medical record comprises the personal information, the chief complaint text, the current medical history text and the emergency grade of the patient, so that the information is comprehensive and rich, a doctor can conveniently know the specific condition of the patient, and valuable reference information can be provided for the work of the follow-up doctor;
the invention can avoid the defect that the manual recording easily causes the problems of information omission, information error and the like by automatically and intelligently generating the electronic emergency medical record, can provide the standard, accurate and comprehensive electronic medical record, can improve the efficiency, can reduce the workload of doctors and has good application prospect.
Drawings
FIG. 1 is a flow chart of a method for intelligent generation of an electronic medical record for emergency calls of the present invention;
fig. 2 is a schematic block diagram of an electronic medical record intelligent generation system for emergency call according to the present invention.
Detailed Description
The present invention is further described in detail below with reference to examples so that those skilled in the art can practice the invention with reference to the description.
It will be understood that terms such as "having," "including," and "comprising," as used herein, do not preclude the presence or addition of one or more other elements or groups thereof.
Example 1
Referring to fig. 1, the present embodiment provides an intelligent electronic medical record generation method for emergency calls, including the following steps:
s1, establishing a mapping relation F between the question-answer template of the graded response plan in the emergency system and the emergency medical record template:
1-1) screening the question branches in the question-answer template of the graded response plan and listing all the question paths;
1-2) selecting item information C which needs to be automatically generated according to an emergency medical record template, wherein the item information C at least comprises personal information P, a chief complaint text D and a current medical history text R of a patient;
1-3) constructing one-to-one or many-to-one mapping relationship F between all questions Q of the question-answer template and all item information C of the emergency medical record template to show the corresponding relationship between the answer A aiming at the questions and the item information C in the emergency medical record template (namely, firstly obtaining the corresponding item information C by using the mapping relationship F according to the questions Q, and then corresponding the answer A aiming at the questions Q to the item information C, so as to be capable of surface answering the corresponding relationship between the A and the item information C);
s2, acquiring voice data V of the conversation record of the emergency call telephone, and converting the voice data V of the conversation record of the emergency call telephone into text content T by using a voice recognition method, wherein the voice data V comprises questions proposed according to the question-answer template and answers made to the questions;
the method specifically comprises the following steps:
2-1) training a voice recognition model by using the past emergency dialogue data;
2-2) converting the voice data V of the session recording of the emergency call telephone into text content T by means of a voice recognition model. In a preferred embodiment, the speech recognition model can also convert dialects into words.
S3, extracting the personal information P of the patient from the character content T obtained by the conversion in the step 2) by using an entity extraction method or a key dictionary extraction method; the personal information P includes information such as age, sex, address, etc. of the patient; the method comprises the following specific steps:
3-1) constructing an entity extraction algorithm model or a key dictionary extraction algorithm model capable of obtaining the personal information P of the patient from the text content by using the past data in advance;
3-2) to a certain question Q contained in the text content TiAnd corresponding answer content AiThe following treatments were carried out: firstly, obtaining a problem Q by using the mapping relation F obtained in the step 1)iCorresponding item information CiThen, the entry information C is determinediWhether or not it belongs to the personal information P;
3-3) if the item information C in step 3-2)iBelonging to the personal information P, the personal information P will be associated with the entry information CiCorresponding problem QiAnswer content A ofiInputting the personal information P of the patient into a pre-constructed entity extraction model or a key dictionary extraction modeli；
3-4) traversing all the questions Q and the corresponding answer contents A in the text contents T, and obtaining all the personal information P of the patient according to the methods from the step 3-2) to the step 3-3)all。
S4, extracting a main complaint text D and a current medical history text R of the patient from the text T obtained by conversion in the step 2) by using a text summarization method; the method comprises the following specific steps:
4-1) constructing a text abstract algorithm model capable of obtaining a chief complaint text D and a current medical history text R of a patient from text contents by using past data in advance;
4-2) to a certain question Q contained in the text content TiAnd corresponding answer content AiThe following treatments were carried out: firstly, obtaining a problem Q by using the mapping relation F obtained in the step 1)iCorresponding item information CiThen, the entry information C is determinediWhether the subject is a complaint text D or a current medical history text R；
4-3) if the item information C in step 3-2)iBelonging to the main complaint text D or the current medical history text R, the item information C is associated withiCorresponding problem QiAnswer content A ofiInputting the data into a pre-constructed text abstract algorithm model so as to obtain a main complaint text D of the patientiAnd/or a medical history text Ri；
4-4) traversing all the questions Q and the corresponding answer contents A in the text contents T, and obtaining all the main complaint texts D of the patient according to the methods of the steps 3-2) to 3-3)allAnd current history text Rall。
Steps S3 and S4 may be performed simultaneously or sequentially, and in this embodiment, steps S3 and S4 are preferably performed simultaneously.
S5, according to the chief complaint text D and/or the current medical history text R of the patient, the emergency level L of the patient is evaluated by an intelligent grading method; the method comprises the following specific steps:
5-1) constructing a text classification algorithm model which can automatically generate the emergency level L of the patient through the chief complaint text D and/or the current medical history text R of the patient by utilizing the past data in advance;
5-2) the complaint text D of the patient obtained in the step 4)allAnd/or a medical history text RallInputting the information into the text classification algorithm model obtained in the step 5-1) to obtain the emergency level L of the patient.
In one embodiment, steps S5 and S4 are performed simultaneously, and step S5 is performed after obtaining the patient' S chief complaint text D and/or current medical history text R according to the method of step S4.
In another embodiment, step S5 is performed after step S4 and step S5 is performed by intelligent grading directly using the patient' S complaint text D and/or current medical history text R obtained in step S4. In this example, this scheme is selected.
S6, summarizing the personal information P, the chief complaint text D, the current medical history text R and the emergency level L of the patient, and automatically generating the electronic medical record of the patient; the method specifically comprises the following steps:
1) a case generation model for automatically generating an electronic case is constructed in advance;
2) the personal information P of the patients obtained from the steps 3) to 5) is usedallMain complaint text DallThe current medical history text RallAnd inputting the emergency grade L into the case generation model, and automatically filling all the item information C of the emergency medical record template by the case generation model so as to automatically generate the electronic emergency medical record of the patient.
Example 2
Referring to fig. 2, the present embodiment provides an intelligent electronic medical record generation system for emergency calls, which automatically generates an electronic emergency medical record of a patient by using a dialog record of an emergency call phone according to the method of embodiment 1, and the system includes:
the mapping relation establishing module is used for establishing a mapping relation F from a question-answer template of a graded response plan in the emergency system to an emergency medical record template;
a voice data conversion module for converting voice data V of a conversation record of the emergency call phone into text content T by using a voice recognition method; the voice data conversion module comprises a voice recognition model, and converts voice data V recorded by the conversation of the emergency call telephone into text content T by using the voice recognition model;
a personal information extraction module for extracting the personal information P of the patient from the text content T by using an entity extraction or key dictionary extraction method; the personal information extraction module comprises an entity extraction algorithm model and a key dictionary extraction algorithm model;
a main complaint text and current medical history text extraction module which is used for extracting a main complaint text D and a current medical history text R of the patient from the text T obtained by the conversion in the step 2) by using a text summarization method; the chief complaint text and current medical history text extraction module comprises a text abstract algorithm model;
the intelligent grading module is used for evaluating the emergency level L of the patient by an intelligent grading method according to the obtained chief complaint text D and/or current medical history text R of the patient; the intelligent grading module comprises a text classification algorithm model;
and the electronic medical record generation module is used for summarizing the personal information P, the chief complaint text D, the current medical history text R and the emergency level L of the patient and automatically generating the electronic medical record of the patient. The electronic medical record generation module comprises a case generation model.
The present embodiment also provides a storage medium having a computer program stored thereon, wherein the program is used to implement the method of embodiment 1 when executed.
The present embodiment also provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method of embodiment 1 when executing the computer program.
While embodiments of the invention have been disclosed above, it is not limited to the applications listed in the description and the embodiments, which are fully applicable in all kinds of fields of application of the invention, and further modifications may readily be effected by those skilled in the art, so that the invention is not limited to the specific details without departing from the general concept defined by the claims and the scope of equivalents.
Claims (9)
1. An electronic medical record intelligent generation method for emergency calls is characterized by comprising the following steps:
1) establishing a mapping relation F between a question-answer template corresponding to a graded response plan in the emergency system and an emergency medical record template:
1-1) screening the question branches in the question-answer template of the graded response plan and listing all the question paths;
1-2) selecting item information C which needs to be automatically generated according to an emergency medical record template, wherein the item information C at least comprises personal information P, a chief complaint text D and a current medical history text R of a patient;
1-3) constructing one-to-one or many-to-one mapping relation F between all questions Q of the question-answer template and all item information C of the emergency medical record template so as to show the corresponding relation between the answer A aiming at the questions and the item information C in the emergency medical record template;
2) converting voice data V of a conversation record of the emergency call telephone into text content T by using a voice recognition method, wherein the voice data V comprises questions proposed according to a question-answer template and answers aiming at the questions;
3) extracting the personal information P of the patient from the text content T obtained by the conversion in the step 2) by using an entity extraction method or a key dictionary extraction method;
4) extracting a main complaint text D and a current medical history text R of the patient from the text T obtained by conversion in the step 2) by using a text summarization method;
5) according to the patient complaint text D and/or the current medical history text R, assessing the emergency level L of the patient by using an intelligent grading method;
6) and summarizing the personal information P, the chief complaint text D, the current medical history text R and the emergency level L of the patient, and automatically generating the electronic emergency medical record of the patient.
2. The method for intelligently generating an electronic medical record for emergency call according to claim 1, wherein the step 2) specifically comprises:
2-1) training a voice recognition model by using the past emergency dialogue data;
2-2) converting the voice data V of the session recording of the emergency call telephone into text content T by means of a voice recognition model.
3. The method for intelligently generating an electronic medical record for emergency call according to claim 2, wherein the step 3) specifically comprises:
3-1) constructing an entity extraction algorithm model or a key dictionary extraction algorithm model capable of obtaining the personal information P of the patient from the text content by using the past data in advance;
3-2) to a certain question Q contained in the text content TiAnd corresponding answer content AiThe following treatments were carried out: firstly, obtaining a problem Q by using the mapping relation F obtained in the step 1)iCorresponding item information CiThen, the entry information C is determinediWhether or not it belongs to the personal information P;
3-3) if the item information C in step 3-2)iBelonging to the personal information P, the personal information P will be associated with the entry information CiCorresponding problem QiAnswer content A ofiInputting the personal information P of the patient into a pre-constructed entity extraction model or a key dictionary extraction modeli；
3-4) traversing all the questions Q and the corresponding answer contents A in the text contents T, and obtaining all the personal information P of the patient according to the methods from the step 3-2) to the step 3-3)all。
4. The method for intelligently generating an electronic medical record for emergency call according to claim 3, wherein the step 4) specifically comprises:
4-1) constructing a text abstract algorithm model capable of obtaining a chief complaint text D and a current medical history text R of a patient from text contents by using past data in advance;
4-2) to a certain question Q contained in the text content TiAnd corresponding answer content AiThe following treatments were carried out: firstly, obtaining a problem Q by using the mapping relation F obtained in the step 1)iCorresponding item information CiThen, the entry information C is determinediWhether the subject belongs to the main complaint text D or the current medical history text R;
4-3) if the item information C in step 3-2)iBelonging to the main complaint text D or the current medical history text R, the item information C is associated withiCorresponding problem QiAnswer content A ofiInputting the data into a pre-constructed text abstract algorithm model so as to obtain a main complaint text D of the patientiAnd/or a medical history text Ri；
4-4) traversing all the questions Q and the corresponding answer contents A in the text contents T, and obtaining all the main complaint texts D of the patient according to the methods of the steps 3-2) to 3-3)allAnd current history text Rall。
5. The method for intelligently generating an electronic medical record for emergency call according to claim 4, wherein the step 5) specifically comprises:
5-1) constructing a text classification algorithm model which can automatically generate the emergency level L of the patient through the chief complaint text D and/or the current medical history text R of the patient by utilizing the past data in advance;
5-2) the complaint text D of the patient obtained in the step 4)allAnd/or a medical history text RallInputting the information into the text classification algorithm model obtained in the step 5-1) to obtain the emergency level L of the patient.
6. The method for intelligently generating an electronic medical record for emergency call according to claim 5, wherein the step 6) specifically comprises:
1) a case generation model for automatically generating an electronic case is constructed in advance;
2) the personal information P of the patients obtained from the steps 3) to 5) is usedallMain complaint text DallThe current medical history text RallAnd inputting the emergency grade L into the case generation model to automatically generate the electronic emergency medical record of the patient.
7. An intelligent electronic medical record generation system for emergency calls, which automatically generates an electronic medical record of a patient using a dialog record of an emergency call phone according to the method of any one of claims 2 to 6, the system comprising:
the mapping relation establishing module is used for establishing a mapping relation F from a question-answer template of a graded response plan in the emergency system to an emergency medical record template;
a voice data conversion module for converting voice data V of a dialog record of the emergency call phone into text contents T by using a voice recognition method, the voice data V including questions posed according to the question-answer template and answers made to the questions;
a personal information extraction module for extracting the personal information P of the patient from the text content T by using an entity extraction or key dictionary extraction method;
a main complaint text and current medical history text extraction module which is used for extracting a main complaint text D and a current medical history text R of the patient from the text T obtained by the conversion in the step 2) by using a text summarization method;
the intelligent grading module is used for evaluating the emergency level L of the patient by an intelligent grading method according to the chief complaint text D and/or the current medical history text R of the patient;
and the electronic medical record generating module is used for summarizing the personal information P, the chief complaint text D, the current medical history text R and the emergency level L of the patient and automatically generating the electronic emergency medical record of the patient.
8. A storage medium on which a computer program is stored, characterized in that the program is adapted to carry out the method of any one of claims 1-6 when executed.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1-6 when executing the computer program.
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|---|---|---|---|
| CN202011526287.3A CN112562813A (en) | 2020-12-22 | 2020-12-22 | Intelligent generation method and system of electronic medical record for emergency call |
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