CN114360678A - Information processing method, device, equipment and storage medium - Google Patents
Information processing method, device, equipment and storage medium Download PDFInfo
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Abstract
The application discloses an information processing method, an information processing device, information processing equipment and a storage medium. The information processing method comprises the steps of obtaining inquiry dialogue data including disease condition keywords, extracting disease condition basic attribute words having description relations with the disease condition keywords from the inquiry dialogue data through the disease condition keywords, determining disease condition sentences based on the disease condition keywords and the disease condition basic attribute words, and generating case report information based on the disease condition sentences. The problem that the accuracy and efficiency of entering the medical record report are low in the related technology is solved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to an information processing method, apparatus, device, and storage medium.
Background
With the rapid development of computer technology, more and more information processing systems are widely applied to various fields, and for medical record systems in the medical field, a great amount of time is saved for medical staff to write paper-based medical records.
However, most doctors are non-professional typists, so that a lot of working time is consumed when the doctors enter medical record reports, and medical disputes are caused sometimes because wrong medical words are input.
Disclosure of Invention
The embodiment of the application provides an information processing method, an information processing device, information processing equipment and a storage medium, and can improve the accuracy and efficiency of medical staff entering medical record reports.
According to a first aspect of embodiments of the present application, there is provided an information processing method, including:
acquiring inquiry dialogue data, wherein the inquiry dialogue data comprises disease keywords;
extracting disease condition basic attribute words from the inquiry dialogue data based on the disease condition keywords, wherein the disease condition basic attribute words comprise words having description relation with the disease condition keywords;
determining a disease statement according to the disease key words and the disease basic attribute words;
based on the disease statement, case report information is generated.
According to a second aspect of embodiments of the present application, there is provided an information processing method including:
acquiring inquiry dialogue data under the condition of receiving a case generation request, wherein the inquiry dialogue data comprises disease keywords;
extracting disease condition basic attribute words from the inquiry dialogue data based on the disease condition keywords, wherein the disease condition basic attribute words comprise words having description relation with the disease condition keywords;
determining a disease statement according to the disease key words and the disease basic attribute words;
based on the disease statement, case report information is presented.
According to a third aspect of embodiments of the present application, there is provided an information processing method including:
acquiring first inquiry dialogue data in a first preset time window, wherein the first inquiry dialogue data comprise first disease keywords;
extracting first disease condition basic attribute words from the first inquiry dialogue data according to the first disease condition keywords, wherein the first disease condition basic attribute words comprise words having description relation with the first disease condition keywords;
determining a first disease statement according to the first disease keyword and the first disease basic attribute word;
under the condition that second inquiry dialogue data in a second preset time window are obtained, second disease basic attribute words are extracted from the second inquiry dialogue data according to second disease keywords in the second inquiry dialogue data, wherein the second disease basic attribute words comprise words having description relations with the second disease keywords;
determining a second disease statement according to the second disease key word and the second disease basic attribute word;
adjusting the first condition statement based on the second condition statement;
based on the adjusted first condition statement, case report information is obtained.
According to a fourth aspect of embodiments of the present application, there is provided an information processing apparatus comprising:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring inquiry dialogue data which comprises disease keywords;
the extracting module is used for extracting disease basic attribute words from the inquiry dialogue data based on the disease keywords, wherein the disease basic attribute words comprise words having description relation with the disease keywords;
the determining module is used for determining the disease sentence according to the disease keyword and the disease basic attribute word;
and the generation module is used for generating case report information based on the disease statement.
According to a fifth aspect of embodiments of the present application, there is provided an information processing apparatus comprising:
the system comprises an acquisition module, a display module and a management module, wherein the acquisition module is used for acquiring inquiry dialogue data under the condition of receiving a case generation request, and the inquiry dialogue data comprises disease keywords;
the extracting module is used for extracting disease basic attribute words from the inquiry dialogue data based on the disease keywords, wherein the disease basic attribute words comprise words having description relation with the disease keywords;
the determining module is used for determining the disease sentence according to the disease keyword and the disease basic attribute word;
and the display module is used for displaying the case report information based on the disease statement.
According to a sixth aspect of embodiments of the present application, there is provided an information processing apparatus comprising:
the acquisition module is used for acquiring first inquiry dialogue data in a first preset time window, and the first inquiry dialogue data comprises first disease keywords;
the first extraction module is used for extracting first disease condition basic attribute words from the first inquiry dialogue data according to the first disease condition keywords, wherein the first disease condition basic attribute words comprise words having description relation with the first disease condition keywords;
the first determining module is used for determining a first disease statement according to the first disease keyword and the first disease basic attribute word;
the second extraction module is used for extracting second disease basic attribute words from the second inquiry dialogue data according to second disease keywords in the second inquiry dialogue data under the condition that the second inquiry dialogue data in a second preset time window are obtained, wherein the second disease basic attribute words comprise words having description relations with the second disease keywords;
the second determining module is used for determining a second disease statement according to the second disease key word and the second disease basic attribute word;
an adjustment module for adjusting the first condition statement based on the second condition statement;
and the generation module is used for obtaining case report information based on the adjusted first disease statement.
According to a seventh aspect of embodiments of the present application, there is provided a computer apparatus comprising: a memory and a processor;
a memory for storing a computer program;
a processor for executing the computer program stored in the memory, the computer program when executed causing the processor to perform the steps of the information processing method as shown in at least one of the first, second, and third aspects.
According to an eighth aspect of embodiments of the present application, there is provided a computer-readable storage medium on which a program or instructions are stored, which, when executed by a computer apparatus, causes the computer apparatus to perform the steps of the information processing method shown in at least one of the first, second, and third aspects.
According to a ninth aspect of embodiments of the present application, there is provided a computer program product, including a computer program that, when executed by a computer apparatus, causes the computer apparatus to perform the steps of the information processing method shown in at least one of the first aspect, the second aspect, and the third aspect.
According to the information processing method, device, equipment and storage medium in the embodiment of the application, inquiry dialogue data comprising disease keywords are obtained, disease basic attribute words which have description relations with the disease keywords are extracted from the inquiry dialogue data through the disease keywords, then, disease sentences are determined based on the disease keywords and the disease basic attribute words, hidden meanings in the inquiry dialogue data are fully understood, the limitation of a template is overcome, and the accuracy of generating medical record reports can be improved because the information of the determined disease sentences comes from the real inquiry dialogue data of patients and doctors. Then, based on the disease statement, case report information is generated, so that the case report which is more smooth and accords with grammar is generated, the operation and time for medical staff to enter the case history are reduced, and the efficiency for the medical staff to enter the case history is improved.
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The present application may be better understood from the following description of specific embodiments of the application taken in conjunction with the accompanying drawings, in which like or similar reference numerals identify like or similar features.
FIG. 1 is a diagram illustrating an information processing architecture according to one embodiment;
FIG. 2 is a schematic diagram illustrating another information handling architecture in accordance with one embodiment;
FIG. 3 is a flow diagram illustrating an information processing method according to one embodiment;
FIG. 4 is a flow diagram illustrating an information presentation method according to one embodiment;
FIG. 5 is an interaction flow diagram illustrating a method of information presentation according to one embodiment;
FIG. 6 is a flow diagram illustrating another information processing method according to one embodiment;
fig. 7 is a schematic diagram showing a configuration of an information processing apparatus according to an embodiment;
FIG. 8 is a schematic diagram showing the construction of an information presentation device according to an embodiment;
fig. 9 is a schematic configuration diagram showing another information processing apparatus according to an embodiment;
fig. 10 is a diagram showing a hardware configuration of a computer apparatus according to an embodiment.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
At present, in order to realize the optimal allocation of medical resources, a platform for automatically performing triage, inquiry and generation of patient medical record reports can be constructed by means of professional knowledge of doctors. Generally, the doctor can merge the confirmed symptoms and the denied symptoms of the patient through the inquiry result, so that the doctor can manually extract the symptom information from the merged symptoms and write a medical record report. Therefore, when a doctor enters a medical record report, a large amount of working time is consumed, and sometimes medical disputes are caused by inputting wrong medical words.
Therefore, the embodiment of the application provides an information processing method, based on intelligent inquiry dialogue data, disease key words and disease basic attribute words having description relations with the disease key words in the inquiry dialogue data are extracted, and based on the disease key words and the disease basic attribute words, disease sentences are determined, structured case report information with normative case history writing is generated based on the disease sentences, so that the operation and time of medical staff entering the case history are reduced, and the efficiency of the medical staff entering the case history is improved.
Based on this, the information processing method provided by the embodiment of the present application will be described in detail below with reference to the information processing architecture provided by the embodiment of the present application shown in fig. 1 and 2.
In one or more possible embodiments, as shown in fig. 1, the information processing architecture proposed in the embodiment of the present application may include an electronic device 10 and a server 20. The electronic device 10 is installed with an application program providing an inquiry service function, or the electronic device 10 provides access to a platform having an inquiry service function. The server 20 provides data services for applications or platforms corresponding to the interrogation service functions.
Illustratively, when the electronic device 10 is a patient's electronic device, the patient can access the server 20 through the electronic device 10 to perform an online inquiry on the patient based on the medical data stored in the server 20, and the server 20 can generate case report information of the patient based on the chat records of the online inquiry.
The medical data may be preset inquiry information or generated (in real time) based on inquiry information in an on-line inquiry of a patient by a doctor.
In addition, based on the architecture as shown in FIG. 1, the electronic device 10 may be a doctor's electronic device. Thus, when an on-line inquiry is made, the doctor can record chat information between the doctor and the patient through the electronic device 10. Then, the electronic device 10 transmits the chat information to the server 20 so that the server 20 generates case report information of the patient based on the chat information, or the electronic device 10 processes the chat information based on data provided by the server to obtain case report information. Here, the electronic device 10 may be a mobile phone, a tablet computer, a desktop computer, or the like having a function of recording audio or video.
In another possible embodiment or multiple possible embodiments, as shown in fig. 2, the information processing architecture proposed in the embodiment of the present application may include an electronic device 11, an electronic device 12, and a server 21. Both the electronic device 11 and the electronic device 12 are installed with an application program providing an inquiry service function, or both the electronic device 11 and the electronic device 12 may provide a platform accessing the inquiry service function. The server 21 has the same function as the server 20 in fig. 1.
Illustratively, when the electronic device 11 is an electronic device of a patient and the electronic device 12 is an electronic device of a doctor, the patient can send query information to the server 21 through the electronic device 11, and the server 21 can send the query information to the electronic device 12, so that the doctor can reply feedback information corresponding to the query information through the query information of the patient displayed by the electronic device 12, so that the server 21 generates query dialogue data of the doctor and the patient based on the query information and the feedback information, and generates case report information of the patient based on the query dialogue data.
Thus, the information processing method provided in the embodiments of the present application will be described in detail based on the above information processing architecture.
A computer device obtains interrogation session data between a patient and a doctor, the interrogation session data including condition keywords. Next, the computer device extracts, based on the condition keywords, condition base attribute words in the inquiry dialogue data, the condition base attribute words being words having a descriptive relationship with the condition keywords. Here, the descriptive relationship means that at least one word in the inquiry dialogue data is descriptive of related information such as attributes, features, functions, backgrounds, times, characters, and the like of the disease keyword.
Then, the computer device determines a disease sentence from the disease keyword and the disease base attribute word to generate case report information based on the disease sentence.
It should be noted that the computer device may include an electronic device (as shown in fig. 1 and/or fig. 2) and a server.
Therefore, inquiry dialogue data including the disease key words are obtained, disease basic attribute words having description relations with the disease key words are extracted from the inquiry dialogue data based on the disease key words, then, the disease sentences are determined based on the disease key words and the disease basic attribute words, so that hidden meanings in the inquiry dialogue data can be fully understood, the limitation of a template can be overcome, and the accuracy of generating a medical record report can be improved as the information of the disease sentences is determined to be derived from the inquiry dialogue data. Then, based on the disease statement, the case report information of the patient is generated, so that the case report which is more smooth and accords with grammar is generated, the operation and time for medical staff to enter the case history are reduced, and the efficiency for the medical staff to enter the case history is improved.
Based on this, the information processing method provided by the embodiment of the application can be applied to offline inquiry and can be used for generating a scene of a case report based on offline inquiry dialogue data, and can also be applied to online inquiry and can be used for generating a case report based on online inquiry dialogue data and any scene capable of automatically generating case report information.
It should be noted that, in the embodiment of the present application, the information processing method in a medical scene is exemplified, and in practical application, legal consultation dialogue data in the legal field may also be acquired to implement automatic generation of case information, and certainly, design dialogue data in the architectural field may also be acquired to implement automatic generation of design instructions and the like.
According to the above architecture and application scenario, the information processing method provided by the embodiment of the present application is described in detail below with reference to fig. 3.
Fig. 3 is a flow chart illustrating an information processing method according to one embodiment.
As shown in fig. 3, the information processing method may be applied to a computer device, the computer device may include an electronic device (as shown in fig. 1 and/or fig. 2) and/or a server, and the information processing method may specifically include:
at step 310, inquiry dialogue data is obtained, wherein the inquiry dialogue data comprises disease keywords. And step 320, extracting disease basic attribute words from the inquiry dialogue data based on the disease keywords, wherein the disease basic attribute words are words having description relation with the disease keywords. Step 330, determining the disease statement according to the disease keyword and the disease basic attribute word. Based on the disease statement, case report information is obtained, step 340.
The above steps are described in detail below, specifically as follows.
Referring to step 310, in the embodiment of the present application, different scenarios may be combined to respectively exemplify the step of acquiring the inquiry dialogue data.
In one or more examples, the computer device may obtain a record of the offline inquiry, and generate inquiry session data based on the record of the offline inquiry, based on which step 310 may specifically include:
obtaining an audio recording of an offline inquiry, the audio recording comprising a patient's question and answer audio and a medical staff's question and answer audio;
from the audio recordings, inquiry dialogue data is generated, which includes inquiry text information for the patient and inquiry text information for the medical staff.
In another or more examples, the computer device may obtain a record of the online inquiry, that is, in the case that the inquiry dialogue data includes a communication record of the online inquiry, step 310 may specifically include:
and acquiring a communication record of the on-line inquiry, wherein the communication record comprises an inquiry and answer text of the patient and an inquiry and answer text of the medical staff.
Therefore, the medical staff and the patient inquiry dialogue data under different application scenes can be obtained, professional medical vocabularies can be obtained, and a data basis is provided for generating the structured medical record report information in the later period. In addition, the acquired inquiry dialogue data is real data of medical staff and patients, so that the accuracy of generating medical record report information can be further improved.
It should be noted that, in the embodiment of the present application, the inquiry dialogue data may be obtained in at least one of the above manners, where the inquiry dialogue data may be obtained in two manners when the patient performs an inquiry consultation online and performs an inquiry offline.
Based on this, before performing step 320, in one or more examples, a disease keyword may be obtained in the inquiry dialogue data, and based on this, the information processing method provided in this embodiment may further include:
and performing entity extraction on the inquiry dialogue data by using a structured extraction deep learning algorithm to obtain disease keywords.
Here, the entity extraction refers to extracting key nouns and entity words from data, and exemplarily, in a medical scenario, entity words of diseases, symptoms and character descriptions, i.e., disease keywords such as expectoration, are extracted from inquiry dialogue data.
Further, in order to improve accuracy of obtaining the disease basic attribute words, after obtaining the disease keywords, the information processing method provided in the embodiment of the present application may further include:
according to the semantics of each disease condition keyword, performing structural separation on each disease condition keyword to obtain at least two structured disease condition keywords.
Here, the structured separation means to extract words of related descriptions at different angles from data, and group and structure the words of the descriptions at different angles. Illustratively, as in the medical context, structured separation of condition keywords refers to extracting words from the inquiry dialogue data that are relevant descriptions of the corresponding symptoms.
Illustratively, still taking the above-mentioned disease keyword "expectoration" as an example, the "expectoration" is structurally separated according to the semantic of each "expectoration" to obtain at least two disease keywords "expectoration-cough + expectoration" after being structured.
Based on this, the step 320 may specifically include:
extracting disease basic attribute words in the inquiry dialogue data through an entity relation extraction algorithm based on the disease key words; and/or extracting disease basic attribute words in the inquiry dialogue data through an entity relation extraction algorithm based on the structured disease key words.
Illustratively, still taking the above-mentioned condition keyword "expectoration" as an example, the condition base attribute word may be "the cause of cough is a cold". And still taking the 'expectoration-cough + expectoration' of at least two structured disease keywords as an example, the disease basic attribute words can be 'cough cause is catching cold', 'expectoration is caused by sore throat' and the like.
It should be noted that the entity relationship extraction algorithm is a relationship description of a disease keyword, and in the medical scenario provided in the embodiment of the present application, is a description relationship of a certain shape or an expressive entity word (or a structured result) to a symptom or a disease.
The result extracted by the entity relationship extraction algorithm in the embodiment of the present application, that is, the disease basic attribute word, may include at least one of the following words:
the basic attributes of medical records, the onset time of symptoms, the properties, the symptom attributes and the like, wherein the basic attributes of medical records comprise personal information, family medical history and the like of patients, the onset time of symptoms comprises the onset time and duration of expectoration and the like, and the properties comprise that the cause of expectoration is allergic expectoration or expectoration due to certain diseases.
Thus, it will be appreciated that step 320 may be based on the above-mentioned related disorder keywords such as "disorder a and disorder B occur in the same time period, and disorder C and disorder a occur in another time period", whereby it is inferred that the etiology, manifestation, and attribute description of each disorder is obtained based on disorders A, B and C to fully understand the hidden meaning in the inquiry dialogue data to provide a data basis for generating the medical record report.
Further, in the embodiments of the present application, including but not limited to, extracting disease basic attribute words from the query dialogue data through an entity relationship extraction algorithm provided by a pre-trained language characterization model (BERT), a natural language processing model (Transformer), or a Long Short-Term Memory network (LSTM).
Referring to step 330, in one or more examples, specifically, step 3301 and step 3302 may be included.
And 3301, sorting the disease basic attribute words and disease keywords according to a preset sentence logic to obtain an initial sentence.
Exemplarily, structural separation is performed on shapes of 'cough' and 'expectoration' which are different in expression, and an initial sentence of each disease basic attribute word and disease key words is obtained, such as 'expectoration' — 'deep sputum color', 'expectoration is caused by sore throat', 'duration is about 3 days'; "cough" - "white day", "more times", and "deepening of sports cough".
Thus, the shape descriptions of the disease condition basic attribute words and the disease condition keywords are tabulated, and descriptions of initial sentences of the respective shapes are generated.
And 3302, semantically filling the initial sentence to obtain a disease sentence.
Further, semantic filling is carried out on the initial sentences based on the sentences in the preset medical staff prediction system to obtain disease symptoms.
Illustratively, the computer device performs semantic logic optimization on the initial sentences, namely, combines the initial sentences of the disease basic attribute words and the disease keywords, such as based on 'expectoration' — 'deep sputum color', 'expectoration is caused by sore throat', 'duration is about 3 days'; the semantic filling of 'cough', 'white day', 'more times' and 'exercise cough deepen' is carried out to obtain disease sentences such as 'cough and expectoration for 3 days, mild symptoms' and 'cough with severe white day, which are commonly seen in the early morning and aggravated after exercise'.
Therefore, according to the information processing method provided by the embodiment of the application, the medical staff prediction system is utilized to perform semantic filling on the initial sentences to obtain sentences which are more appropriate to the habitual medical terms of the medical staff, so that the operation and time for the medical staff to enter the medical history are reduced while the generation of a more smooth and grammatical case report is realized.
The step 340 may specifically include: and according to the case template, performing semantic analysis and semantic sequencing on the disease sentences to generate case report information.
Further, the case template may be a template generated based on medical record writing specifications, and the medical record template may include the following parts: basic information of the user, current complaints, current medical history, medical orders and the like. Wherein the current medical history is a record of the relevant condition of the current stage disease of the patient involved in the inquiry dialogue data.
Based on this, the semantic analysis involved in step 340 includes modifying parts that do not satisfy sentence semantics, such as deleting duplicate information, modifying wrongly written words, modifying corresponding disease sentences according to doctor's habitual sentences, etc., in case it is identified that they do not satisfy sentence semantics.
And, what is involved in step 340 can carry on the semantic ordering to the disease statement according to the disease statement template, and fill the disease statement template after sequencing, thus finish the case report information of the structural present medical history, have offered the reliable medical history data basis for the doctor to enter the medical record, reduce the operation and time that the medical staff enters the medical record, thus raise and see a doctor efficiency.
In another example or multiple examples, when the computer device recognizes that the inquiry dialogue data includes information of the patient, it may be queried whether historical medical record report information of the patient is stored in the computer device based on the information of the patient, and if the historical medical record report information of the patient is stored, the step 340 may specifically include:
acquiring historical case report information of the patient according to the information of the patient under the condition that the inquiry dialogue data comprises the information of the patient;
and according to the case template, performing semantic analysis and semantic ordering on the disease statement and the historical case report information to generate the case report information.
At this time, the medical record template in this example may include the above-mentioned basic information, prior complaint, prior medical history, medical advice, and other medical histories of the patient, so as to generate more complete case report information, which is convenient for the doctor to fully understand the patient condition, thereby improving the diagnosis accuracy.
It should be noted that, in the information processing method provided in the embodiment of the present application, for convenience of the actual operation of the medical staff, the case report information obtained in the embodiment of the present application may be editable text information, so that the medical staff can edit and modify the case report information at any time.
In one or more possible embodiments, the information processing method may further detect whether some query parts are missing in the current inquiry dialogue information between the patient and the doctor, and if so, the doctor may forget to query or the patient may forget to actively inform about the allergy history, so before the above-mentioned step of obtaining the medical record report information, the information processing method may further include:
and under the condition that the case report information is detected to accord with the preset missing condition, displaying prompt information, wherein the prompt information is used for prompting a user to enter inquiry dialogue data corresponding to the missing part.
Illustratively, in the case where it is detected that the allergy history of the patient is missing in the case report information, prompt information such as "there is a medicine in the order, the patient with # allergy history does not take, the patient allergy history is not mentioned in the current question, please add" is displayed.
Here, the prompt information may be displayed to the medical staff and the patient through the computer device when the on-line inquiry is performed, or may be displayed to the medical staff through the computer device when the on-line inquiry is performed, so as to prompt the medical staff (and/or the patient) to enter the inquiry dialogue data corresponding to the missing part.
In summary, the information processing method provided by the embodiment of the application can realize the processes of respectively classifying the disease symptoms, summarizing the disease symptom information, sorting and generating the structured medical record report information based on the actual inquiry dialogue data between the doctor and the patient, so as to assist the doctor in sorting the decision of diagnosis, and improve the accuracy and efficiency of medical staff in entering the medical record report.
Based on the same inventive concept, in order to facilitate medical staff (and/or patients) to browse medical record report information in real time, the present application further provides an information display method, which is described in detail with reference to fig. 4 to 5.
As shown in fig. 4, the information processing method may be applied to the electronic device shown in fig. 1 or fig. 2, and at this time, the information processing apparatus may be installed in the electronic device to perform steps 410 to 440.
And step 430, determining the disease statement according to the disease keyword and the disease basic attribute word.
Based on the disease statement, case report information is presented, step 440.
Of course, the information processing method may be applied to a server of the electronic device shown in fig. 1 or fig. 2, and may be specifically described with reference to fig. 5.
As shown in fig. 5, the information processing method may include steps 510 to 570.
At step 510, the electronic device receives a first input from a user directed to generating a medical record. In response to the first input, a medical record generation request is sent to a server, the medical record generation request including the interrogation session data.
In step 520, the server obtains the inquiry dialogue data in the case generation request and the disease keywords in the inquiry dialogue data when receiving the case generation request.
Step 530, the server extracts disease basic attribute words from the inquiry dialogue data based on the disease keywords, wherein the disease basic attribute words comprise words having description relation with the disease keywords.
And 540, the server determines the disease statement according to the disease keyword and the disease basic attribute word.
The server generates case report information based on the disease statement, step 550.
In step 560, the server sends case report information to the electronic device.
In step 570, the electronic device presents the case report information when it receives the case report information.
Therefore, the process of respectively diagnosing diseases, summarizing disease information and arranging and generating structured medical record report information can be realized based on actual inquiry dialogue data between a doctor and a patient, and then the information is displayed to medical staff through computer equipment so as to assist the doctor to arrange diagnosis decision and improve the accuracy and efficiency of medical staff in entering medical record reports.
In addition, in order to enable the information processing method provided by the embodiment of the present application to be applicable to various scenarios, that is, in a scenario where a patient has inconsistent symptoms stated before and after the patient forgets or has a memory disorder, based on the same inventive concept, the present application also provides another information processing method, which is specifically described in detail with reference to fig. 6.
As shown in fig. 6, the information processing method may be applied to the electronic device and the server shown in fig. 1 or fig. 2, and may specifically include steps 610 to 670.
And step 640, under the condition that second inquiry dialogue data in a second preset time window are obtained, extracting second disease basic attribute words from the second inquiry dialogue data according to second disease keywords in the second inquiry dialogue data, wherein the second disease basic attribute words comprise words having description relations with the second disease keywords.
Therefore, under the condition that whether the statement of the patient has the inconsistency of the symptoms stated before and after the statement of the patient or not can be detected, when the inconsistency of the symptoms stated before and after the statement is detected, the generated first symptom statement can be adjusted based on the second symptom statement generated by the statement of the patient, and then, the case report information is obtained based on the adjusted first symptom statement, so that the case report information is automatically modified, the operation and time of medical staff for modifying the case history are reduced, the accuracy of generating the case report is improved, and meanwhile, the efficiency of recording the case history by the medical staff is improved.
Based on the information processing method, the application provides a corresponding information processing device. The details are described with reference to fig. 7.
Fig. 7 is a schematic diagram showing the configuration of an information processing apparatus according to an embodiment.
As shown in fig. 7, the information processing apparatus 70 is applied to the electronic device and the server shown in fig. 1 or fig. 2, and the information processing apparatus 70 may specifically include:
an obtaining module 701, configured to obtain inquiry dialogue data, where the inquiry dialogue data includes disease keywords;
an extracting module 702, configured to extract disease basic attribute words from the inquiry dialogue data based on the disease keywords, where the disease basic attribute words include words having a description relationship with the disease keywords;
a determining module 703, configured to determine a disease statement according to the disease keyword and the disease basic attribute word;
a generating module 704, configured to obtain case report information based on the disease statement.
Therefore, inquiry dialogue data including disease keywords are obtained, disease basic attribute words having description relations with the disease keywords are extracted from the inquiry dialogue data through the disease keywords, then, disease sentences are determined based on the disease keywords and the disease basic attribute words so as to fully understand hidden meanings in the inquiry dialogue data and jump out the limitation of a template, and the accuracy of generating a medical record report can be improved because the information for determining the disease sentences comes from the real inquiry dialogue data of patients and doctors. Then, based on the disease statement, case report information is generated, so that the case report which is more smooth and accords with grammar is generated, the operation and time for medical staff to enter the case history are reduced, and the efficiency for the medical staff to enter the case history is improved.
Based on this, the following describes in detail the information processing apparatus 70 provided in the embodiment of the present application:
in one or more possible embodiments, the extraction module 702 can be specifically configured to extract the disease basic attribute words in the inquiry dialogue data through an entity relationship extraction algorithm based on the disease keywords.
In another or multiple possible embodiments, the determining module 703 may be specifically configured to sort the disease basic attribute words and the disease keywords according to a preset sentence logic to obtain an initial sentence;
and performing semantic filling on the initial sentence to obtain a disease sentence.
In yet another possible embodiment or embodiments, the generating module 704 may be specifically configured to semantically sort and semantically sort the disease statements according to a case template to obtain case report information.
Further, the generating module 704 may be specifically configured to, in a case that the inquiry dialogue data includes information of the patient, obtain historical case report information of the patient according to the information of the patient;
and according to the case template, carrying out semantic sorting and semantic sorting on the disease statement and the historical case report information to generate the case report information.
In one or more possible embodiments, the data processing apparatus 70 in the embodiment of the present application may further include: and the display module is used for displaying prompt information under the condition that the case report information is detected to accord with the preset missing condition, wherein the prompt information is used for prompting a user to enter inquiry dialogue data corresponding to the missing part.
In yet another possible embodiment or embodiments, the obtaining module 701 may be specifically configured to, in a case that the inquiry dialogue data includes a communication record of an online inquiry, obtain a communication record of the online inquiry, where the communication record includes an inquiry and response text of the patient and an inquiry and response text of the medical staff.
In yet another possible embodiment or embodiments, the obtaining module 701 may be specifically configured to obtain an audio record of the offline inquiry, where the audio record includes the question and answer audio of the patient and the question and answer audio of the medical staff;
from the audio recordings, inquiry dialogue data is generated, which includes inquiry text information for the patient and inquiry text information for the medical staff.
In addition, based on the information display method, the application provides a corresponding information display device. The details are described with reference to fig. 8.
Fig. 8 is a schematic structural view showing an information presentation apparatus according to an embodiment.
As shown in fig. 8, the information display apparatus 80 is applied to the electronic device shown in fig. 1 or fig. 2, and the information display apparatus 80 may specifically include:
an obtaining module 801, configured to obtain inquiry dialogue data in a case where a case generation request is received, where the inquiry dialogue data includes a disease keyword;
an extraction module 802, configured to extract disease basic attribute words from the inquiry dialogue data based on the disease keywords, where the disease basic attribute words include words having a description relationship with the disease keywords;
a determining module 803, configured to determine a disease statement according to the disease keyword and the disease basic attribute word;
and the display module 804 is used for performing semantic sorting based on the disease symptoms and displaying the case report information.
Therefore, the process of respectively diagnosing diseases, summarizing disease information and arranging and generating structured medical record report information can be realized based on actual inquiry dialogue data between a doctor and a patient, and then the information is displayed to medical staff through computer equipment so as to assist the doctor to arrange diagnosis decision and improve the accuracy and efficiency of medical staff in entering medical record reports.
Similarly, based on the information processing method, the application provides an information processing device corresponding to the information processing method. The details are described with reference to fig. 9.
Fig. 9 is a schematic diagram showing the structure of another information processing apparatus according to an embodiment.
As shown in fig. 9, the information processing apparatus 90 is applied to the electronic device and the server shown in fig. 1 or fig. 2, and the information processing apparatus 90 may specifically include:
an obtaining module 901, configured to obtain first inquiry dialogue data within a first preset time window, where the first inquiry dialogue data includes a first disease keyword;
a first extracting module 902, configured to extract, according to a first disease condition keyword, a first disease condition basic attribute word from the first inquiry dialogue data, where the first disease condition basic attribute word is a word having a description relationship with the first disease condition keyword;
a first determining module 903, configured to determine a first disease statement according to the first disease keyword and the first disease basic attribute word;
a second extraction module 904, configured to, when second inquiry dialogue data in a second preset time window is obtained, extract a second disease basic attribute word from the second inquiry dialogue data according to a second disease keyword in the second inquiry dialogue data, where the second disease basic attribute word is a word having a description relationship with the second disease keyword;
a second determining module 905, configured to determine a second disease statement according to the second disease keyword and the second disease basic attribute word;
an adjustment module 906 for adjusting the first disorder statement based on the second disorder statement;
a generating module 907, configured to obtain case report information based on the adjusted first disease statement.
Therefore, under the condition that whether the statement of a patient has the inconsistency of the symptoms stated before and after the statement of the patient can be detected, when the inconsistency of the symptoms stated before and after the statement is detected, the generated first symptom statement can be adjusted based on the second symptom statement generated by the statement of the patient, and then, the case report information is obtained based on the adjusted first symptom statement, so that the case report information is automatically modified, the operation and time of medical staff for modifying the case report are reduced, the accuracy of generating the case report is improved, and the case record efficiency of the medical staff is improved.
Fig. 10 is a diagram showing a hardware configuration of a computer apparatus according to an embodiment.
As shown in fig. 10, computer device 1000 includes input device 1001, input interface 1002, processor 1003, memory 1004, output interface 1005, and output device 1006.
The input interface 1002, the processor 1003, the memory 1004, and the output interface 1005 are connected to each other via a bus 1010, and the input device 1001 and the output device 1006 are connected to the bus 1010 via the input interface 1002 and the output interface 1005, respectively, and further connected to other components of the computer device 1000. Specifically, the input device 1001 receives input information from the outside and transmits the input information to the processor 1003 via the input interface 1002; the processor 1003 processes the input information based on computer-executable instructions stored in the memory 1004 to generate output information, stores the output information temporarily or permanently in the memory 1004, and then transmits the output information to the output device 1006 through the output interface 1005; the output device 1006 outputs the output information to the outside of the computer device 1000 for use by the user.
In one embodiment, the computer device 1000 shown in fig. 10 may be implemented as an information processing device that may include: a memory configured to store a program; a processor configured to execute the program stored in the memory to perform the information processing method described in the above embodiments.
In one embodiment, the memory may also be used to store the inquiry session data and the results of the calculations for each step in the information processing and information presentation processes described in conjunction with fig. 1-6 above. As an example, the calculation result includes at least: and extracting disease condition basic attribute words, disease condition sentences determined according to the disease condition key words and the disease condition basic attribute words and case report information from the inquiry dialogue data.
According to an embodiment of the present application, the process described above with reference to the flowchart may be implemented as a computer-readable storage medium. For example, embodiments of the present application include a computer-readable storage medium comprising a program or instructions stored thereon, which, if executed by a computer device, cause the computer device to perform the steps of the above-described method.
According to an embodiment of the application, the process described above with reference to the flow chart may be implemented as a computer software program. For example, embodiments of the present application include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network, and/or installed from a removable storage medium.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions which, when run on a computer, cause the computer to perform the methods described in the various embodiments above. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk), among others.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and these modifications or substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (12)
1. An information processing method comprising:
acquiring inquiry dialogue data, wherein the inquiry dialogue data comprises disease keywords;
extracting disease basic attribute words from the inquiry dialogue data based on the disease keywords, wherein the disease basic attribute words comprise words having description relation with the disease keywords;
determining a disease statement according to the disease key words and the disease basic attribute words;
based on the condition statement, case report information is generated.
2. The method of claim 1, wherein the extracting, based on the condition keywords, condition base attribute words in the interrogation dialog data comprises:
and extracting the disease basic attribute words in the inquiry dialogue data through an entity relationship extraction algorithm based on the disease key words.
3. The method of claim 1, wherein said determining a condition statement from said condition keywords and said condition base attribute words comprises:
sequencing the disease basic attribute words and the disease keywords according to preset sentence logic to obtain an initial sentence;
and performing semantic filling on the initial statement to obtain a disease statement.
4. The method of claim 1, wherein the generating case report information based on the condition statement comprises:
and according to the case template, performing semantic analysis and semantic sequencing on the disease sentences to generate case report information.
5. The method of claim 1, wherein the method further comprises:
and displaying prompt information under the condition that the case report information is detected to accord with a preset missing condition, wherein the prompt information is used for prompting a user to enter inquiry dialogue data corresponding to the missing part.
6. The method of claim 1, wherein the obtaining of the interrogation session data comprises:
acquiring a communication record of the on-line inquiry under the condition that the inquiry dialogue data comprises the communication record of the on-line inquiry, wherein the communication record comprises an inquiry and answer text of a patient and an inquiry and answer text of medical staff;
or acquiring an audio record of the offline inquiry, wherein the audio record comprises the question and answer audio of the patient and the question and answer audio of the medical staff;
generating, from the audio recording, interrogation dialog data comprising interrogation textual information for the patient and interrogation textual information for the medical personnel.
7. An information display method, comprising:
acquiring inquiry dialogue data under the condition of receiving a case generation request, wherein the inquiry dialogue data comprises disease keywords;
extracting disease basic attribute words from the inquiry dialogue data based on the disease keywords, wherein the disease basic attribute words comprise words having description relation with the disease keywords;
determining a disease statement according to the disease key words and the disease basic attribute words;
and displaying the case report information based on the disease statement.
8. An information processing method comprising:
acquiring first inquiry dialogue data in a first preset time window, wherein the first inquiry dialogue data comprise first disease keywords;
extracting first disease condition basic attribute words from the first inquiry dialogue data according to the first disease condition keywords, wherein the first disease condition basic attribute words comprise words having description relation with the first disease condition keywords;
determining a first disease statement according to the first disease keyword and the first disease basic attribute word;
under the condition that second inquiry dialogue data in a second preset time window are obtained, extracting second disease basic attribute words from the second inquiry dialogue data according to second disease keywords in the second inquiry dialogue data, wherein the second disease basic attribute words comprise words having description relations with the second disease keywords;
determining a second disease statement according to the second disease keyword and the second disease basic attribute word;
adjusting the first condition statement based on the second condition statement;
based on the adjusted first condition statement, case report information is obtained.
9. An information processing apparatus comprising:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring inquiry dialogue data which comprises disease keywords;
an extraction module, configured to extract disease basic attribute words from the inquiry dialogue data based on the disease keywords, where the disease basic attribute words include words having a description relationship with the disease keywords;
the determining module is used for determining a disease statement according to the disease key word and the disease basic attribute word;
and the generation module is used for obtaining case report information based on the disease statement.
10. A computer device, comprising: a memory and a processor, wherein the processor is capable of,
the memory for storing a computer program;
the processor is configured to execute a computer program stored in the memory, and the computer program is executed to cause the processor to execute the steps of the information processing method according to any one of claims 1 to 6.
11. A computer-readable storage medium on which a program or instructions are stored, which, when executed by a computer device, cause the computer device to perform the steps of the information processing method according to any one of claims 1 to 6.
12. A computer program product comprising a computer program which, if executed by a computer device, causes the computer device to carry out the steps of the information processing method according to any one of claims 1 to 6.
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| CN116612848A (en) * | 2023-07-19 | 2023-08-18 | 首都医科大学附属北京安贞医院 | Method, device, equipment and storage medium for generating electronic medical record |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116612848A (en) * | 2023-07-19 | 2023-08-18 | 首都医科大学附属北京安贞医院 | Method, device, equipment and storage medium for generating electronic medical record |
| CN116612848B (en) * | 2023-07-19 | 2023-11-10 | 首都医科大学附属北京安贞医院 | Method, device, equipment and storage medium for generating electronic medical record |
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