A question and answer management method and system of a traditional Chinese medicine medical inquiry system

Abstract

The application belongs to the field of online consultation, and provides a question and answer management method and system of a traditional Chinese medicine medical consultation system, which comprises the following steps: obtaining the content of online consultation by a doctor; extracting target symptom information for diagnosis; determining symptom elements that need to be obtained through inspection, generating image collection prompt information, and prompting a patient to upload corresponding image information; inferring information that needs to be further obtained through auscultation and palpation, and forming a set of diagnosis elements that need to be supplemented; performing obtainability analysis on the set of diagnosis elements that need to be supplemented, determining the content that can be obtained through consultation questions and / or image collection; based on the obtainability analysis result, generating supplementary consultation questions and / or supplementary image collection prompt information, and guiding the patient to provide supplementary information related to auscultation and palpation.

Description

Technical Field

[0001] The present invention belongs to the field of online medical consultation, and in particular relates to a question and answer management method and system for a traditional Chinese medicine medical consultation system. Background Art

[0002] Traditional Chinese Medicine (TCM) diagnosis and treatment relies heavily on the "Four Diagnoses" approach, which involves comprehensively assessing a patient's physical condition and symptom characteristics through inspection, auscultation, questioning, and palpation. Auscultation typically involves identifying the patient's breath, mouth, body odor, and cough, while palpation primarily involves assessing the pulse, including its rate, rhythm, and form (slippery, rapid, slow, or wiry). Both require on-site sensory contact.

[0003] In recent years, with the rise of telemedicine technology, online Traditional Chinese Medicine (TCM) consultation systems have been widely adopted in clinical practice, enabling remote interaction between doctors and patients via network terminals. While consultation and visual examination can be partially performed online through text communication and image uploads, auscultation and palpation are severely limited. Because doctors cannot perceive the patient's odor characteristics face-to-face or feel their pulse, auscultation and palpation information is difficult to collect or is completely missing, resulting in significantly incomplete information obtained during online TCM consultations.

[0004] In addition, in actual applications, especially when doctors deal with a large number of online consultations, they tend to neglect the collection and judgment of auscultation and palpation elements. Especially for doctors with relatively insufficient clinical experience, there is a lack of a systematic guidance mechanism to assist them in identifying gaps in diagnostic information. They often find it difficult to realize that the current information cannot support accurate dialectics, and thus fail to guide patients to provide relevant supplementary information in a timely manner, affecting the quality of diagnosis and the accuracy of treatment recommendations. Summary of the Invention

[0005] In order to solve the problems in the prior art, the present invention provides a question-answering management method for a traditional Chinese medicine medical consultation system, comprising the following steps:

[0006] Obtain the content of the doctor's online consultation, including the doctor's questions to the patient and the patient's responses;

[0007] Perform semantic analysis on the doctor's online consultation content to extract target symptom information for diagnosis;

[0008] Based on the target symptom information, determining the symptom elements that need to be obtained through visual examination, generating image acquisition prompt information, and prompting the patient to upload the corresponding image information;

[0009] Combining the target symptom information with the image information uploaded by the patient, inferring the auscultation information and palpation information that need to be further acquired, and forming a set of diagnostic elements that need to be supplemented;

[0010] Performing an accessibility analysis on the set of diagnostic elements that need to be supplemented, and determining the content that can be obtained through asking questions and / or collecting images;

[0011] Based on the results of the availability analysis, supplementary diagnostic questions and / or supplementary image acquisition prompts are generated to guide patients to provide supplementary information related to auscultation and palpation.

[0012] Furthermore, the step of semantically analyzing the content of the doctor's online consultation includes: using natural language processing technology to perform word segmentation, keyword extraction, semantic classification and standardization on the consultation questions and answer information, and combining with the traditional Chinese medicine symptom terminology database to extract the patient's main symptoms, accompanying symptoms and their corresponding location characteristics, time characteristics and trait characteristics.

[0013] Furthermore, the step of determining the symptom elements that need to be obtained through visual diagnosis includes: the system calls the association rule library between symptoms and visual diagnosis elements, matches the target symptom information, generates image acquisition prompt information including image acquisition part, image acquisition requirements and image upload method, and prompts the image information of the corresponding part in the user interface.

[0014] Furthermore, in the step of forming a set of diagnostic elements that need to be supplemented, the system calls the symptom-syndrome-four-diagnosis information association rule library, and determines the syndrome candidate set and the missing auscultation or palpation elements through forward reasoning. The missing elements are recorded as a set of diagnostic elements that need to be supplemented.

[0015] Furthermore, in the step of performing an availability analysis on the set of diagnostic elements that need to be supplemented, the system calls a preset diagnostic element-acquisition method mapping table to determine whether each diagnostic element can be obtained through medical questions, image acquisition, or a combination of the two, and automatically generates corresponding supplementary medical questions or image acquisition prompt information based on the analysis results.

[0016] Another aspect of the present invention provides a question-answering management system for a traditional Chinese medicine medical consultation system, comprising the following modules:

[0017] An acquisition module is used to acquire the content of the doctor's online consultation, which includes the doctor's questions to the patient and the patient's response information;

[0018] A semantic parsing module, configured to perform semantic parsing on the doctor's online consultation content and extract target symptom information for diagnosis;

[0019] A visual diagnosis prompt module is used to determine the symptom elements that need to be obtained through visual diagnosis based on the target symptom information, generate image acquisition prompt information, and prompt the patient to upload the corresponding image information;

[0020] An inference module is used to combine the target symptom information with the image information uploaded by the patient to infer the auscultation information and palpation information that need to be further obtained to form a set of diagnostic elements that need to be supplemented;

[0021] an availability analysis module, configured to perform an availability analysis on the set of diagnostic elements to be supplemented, and determine the content that can be obtained through asking questions and / or collecting images;

[0022] The supplementary prompt generation module is used to generate supplementary diagnostic questions and / or supplementary image acquisition prompt information based on the accessibility analysis results, and guide the patient to provide supplementary information related to auscultation and palpation.

[0023] Furthermore, the semantic analysis module includes: a natural language processing unit, which is used to perform word segmentation, keyword extraction, semantic classification and standardization on medical questions and answer information; a symptom extraction unit, which is used to extract the patient's main symptoms, accompanying symptoms and their corresponding location characteristics, time characteristics and trait characteristics in combination with the traditional Chinese medicine symptom terminology database.

[0024] Furthermore, the visual diagnosis prompt module includes: a rule matching unit, which is used to call the association rule library between symptoms and visual diagnosis elements to match the target symptom information; an image prompt generation unit, which is used to generate image acquisition prompt information including image acquisition part, image acquisition requirements and image upload method, and prompt the patient to upload image information of the corresponding part in the user interface.

[0025] Furthermore, the inference module includes: a syndrome reasoning unit, which is used to call the symptom-syndrome-four-diagnosis information association rule library and determine the syndrome candidate set through forward reasoning; an element missing judgment unit, which is used to identify the missing auscultation or palpation elements in the current diagnosis and treatment information and record them as a set of diagnostic elements that need to be supplemented.

[0026] Furthermore, the availability analysis module includes: a mapping table calling unit, used to call a preset diagnostic element-acquisition method mapping table; an acquisition method determination unit, used to determine whether each diagnostic element can be acquired through medical questions, image acquisition, or a combination of the two; and a supplementary prompt generation module, used to automatically generate corresponding supplementary medical questions or image acquisition prompt information based on the analysis results.

[0027] The present invention provides a question-and-answer management method and system for a traditional Chinese medicine medical consultation system, which can effectively solve technical problems in existing online traditional Chinese medicine consultation systems, such as the inability to conveniently obtain auscultation and palpation information, incomplete diagnosis and treatment information, and difficulty for doctors to guide patients to provide auxiliary information. The method has the following beneficial effects:

[0028] The present invention combines the patient's medical interview content and image information to automatically infer the auscultation and palpation information that needs to be further collected, and converts this type of information into content that can be obtained through additional medical interviews or image collection, effectively making up for the limitation that doctors cannot directly perform auscultation and palpation in remote environments, and realizing the intelligent completion of missing information in the "four examinations combined" of traditional Chinese medicine.

[0029] Based on rule-based reasoning and information integrity assessment, the system automatically identifies whether the current diagnostic information is complete, and automatically generates supplementary questions and prompt information to assist doctors in efficiently guiding patients to provide key auxiliary information. It is especially helpful for inexperienced doctors, helping them avoid missing key diagnostic elements and improving the scientific nature of their diagnosis and treatment recommendations.

[0030] Through interactive methods such as graphic prompts and question guidance, the system can clearly guide patients to complete image acquisition and symptom description, enabling patients to provide high-quality diagnosis and treatment information without professional guidance, thereby improving information collection efficiency and user experience.

[0031] When establishing a mapping table between diagnostic factors and collection methods, the system generates mapping results through formula reasoning and dynamic parameters, eliminating the tedious maintenance of static tables. It also comprehensively considers multiple dimensions, including symptom importance, method reliability, user operability, and historical feedback, to enhance the scientific nature of recommended collection methods.

[0032] In summary, the method of the present invention not only optimizes the online consultation process of traditional Chinese medicine, improves the integrity of diagnosis and treatment information and the accuracy of syndrome differentiation, but also has the advantages of being highly intelligent, practical, and user-friendly, and is suitable for a variety of traditional Chinese medicine telemedicine service scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0034] Figure 1 is a flow chart of the method of the present invention;

[0035] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0036] Below, the invention is preferably described with reference to the accompanying drawings and specific embodiments.

[0037] This embodiment solves the above problem through the following steps:

[0038] In one embodiment, reference Figure 1 The present invention provides a question-and-answer management method for a traditional Chinese medicine medical consultation system. The method is based on the diagnosis and treatment concept of "four examinations combined" in traditional Chinese medicine. By intelligently analyzing the content of the doctor's online consultation, the visual diagnosis image information that needs to be collected is determined. The auscultation and palpation content that needs to be further obtained are intelligently inferred based on the results of the consultation and visual diagnosis. Supplementary consultation questions and image collection prompts are generated accordingly, which assists in achieving comprehensive acquisition of diagnosis and treatment information and accurate syndrome differentiation in a remote environment.

[0039] Obtain the content of the doctor's online consultation, which includes the doctor's questions to the patient and the patient's response information.

[0040] Obtain consultation content information generated when a doctor and a patient remotely interact through a network terminal in a traditional Chinese medicine medical consultation system, the consultation content information at least including: one or more consultation questions with diagnostic purposes asked by the doctor to the patient based on the main symptoms and basic health information described by the patient in accordance with the principles of traditional Chinese medicine syndrome differentiation and treatment, and the patient's response to the consultation questions, the response content being symptom description information for diagnosis, the consultation questions and response content can be input in text form and / or voice form, and automatically collected, data recorded and structured stored by the system for subsequent generation of visual diagnosis prompt information and inference of diagnosis and treatment content.

[0041] For example, if a doctor obtains online a patient's chief complaint as "cough and sore throat," the doctor will ask the patient questions through the system based on diagnosis and treatment needs: "Do you have fever symptoms?" "What color is your sputum?" "Do you have a bad taste in your mouth?" The patient responds through text input or voice input into the system: "I have a fever, my sputum is thick and yellow, and my mouth tastes bitter." The system collects the response content and records it as structured data, which serves as a basis for subsequent judgment on whether tongue coating image collection and inference of auscultation information are needed.

[0042] The content of the doctor's online consultation is semantically parsed to extract target symptom information for diagnosis.

[0043] The content of the doctor's online consultation is semantically parsed, and the semantic parsing includes using natural language processing technology to perform language feature recognition, keyword extraction, sentence meaning restoration and semantic classification on the doctor's questions and the patient's response information. Combined with the Chinese medicine symptom terminology database and symptom ontology model, the core diagnostic elements in the content are standardized to extract target symptom information for subsequent diagnostic analysis. The target symptom information includes the patient's main symptoms, accompanying symptoms, time characteristics, location characteristics, trait characteristics, etc., which is used to support the system's determination of the content of visual diagnosis prompts and the inference of auscultation and palpation needs.

[0044] For example, a doctor asks a question through the online consultation system: "Do you have phlegm when you cough? What is the color and properties of the phlegm?" The patient replies: "I have yellow phlegm when I cough, and it's quite sticky." The system performs semantic analysis on the reply information, identifies "cough" as the main symptom, and "yellow phlegm" and "sticky" as the properties of phlegm. Through standardized matching of the keywords "yellow" and "sticky", the system extracts the target symptom information as: "cough with yellow and thick phlegm", and classifies it into the "lung heat cough" related symptom set of the traditional Chinese medicine symptom ontology, providing a basis for subsequently prompting patients to upload tongue coating images and inferring "bad breath odor" information during auscultation.

[0045] Based on the target symptom information, the symptom elements that need to be obtained through visual diagnosis are determined, image acquisition prompt information is generated, and the patient is prompted to upload the corresponding image information.

[0046] Based on the target symptom information, the system's preset symptom and inspection element association rule library is called to perform feature matching on the target symptom information, identify the symptom elements corresponding to the symptom information that need to be obtained through inspection, and generate corresponding image acquisition prompt information by the system. The image acquisition prompt information includes the target site for image acquisition, acquisition requirements and upload method. The system prompts the patient to acquire and upload corresponding image information through the user terminal according to the image acquisition prompt information. The image information is input as inspection data for auxiliary diagnosis to support subsequent diagnosis and treatment analysis.

[0047] Specifically:

[0048] The system has a built-in symptom-to-visual diagnosis element association rule library, which records the mapping relationship between various target symptom information and corresponding visual diagnosis requirements. For example, the symptoms of "cough and yellow sputum" correspond to the visual diagnosis elements of "tongue coating" and "complexion", while the symptoms of "abdominal distension and poor appetite" correspond to "tongue body" and "tongue coating thickness".

[0049] Based on the target symptom information, the system searches the association rule library to obtain a set of symptom elements that need to be confirmed through visual diagnosis, such as tongue coating color, tongue fatness, complexion redness, eyelid color, etc.

[0050] The system generates image acquisition prompts for each symptom factor, including:

[0051] Image acquisition site (e.g., tongue, face, fingers);

[0052] Image acquisition requirements (such as natural light shooting, no obstructions, and clear focus);

[0053] Image upload interface link and operation guide.

[0054] The system displays image acquisition prompts through the user interface. Patients collect images according to the prompts and upload them to the system. The system performs preliminary quality verification on the images to confirm that they can be used for visual diagnosis and analysis.

[0055] For example:

[0056] The target symptoms extracted from the patient's response information were: "cough with yellow sputum, dry mouth, and sore throat."

[0057] The system matches association rules and determines that the elements that need to be obtained through inspection are "tongue coating color", "tongue shape", and "throat color";

[0058] The system generates the following image acquisition prompts:

[0059] "Please upload a clear photo of your tongue coating to determine its color and texture";

[0060] "Please upload a photo of your throat to help determine if it is red and swollen";

[0061] "It is recommended to shoot in natural light and keep the image as focused as possible";

[0062] The system pushes prompts to the patient's terminal, the patient collects and uploads images, and the system completes image quality inspection and stores them for subsequent syndrome inference.

[0063] Through this step, the system automatically guides patients to collect and upload key visual images based on their subjective symptom information. This effectively overcomes the limitations of face-to-face consultations in remote settings, improving the completeness of diagnostic information and the accuracy of syndrome differentiation. Furthermore, the intelligent generation of image acquisition prompts optimizes the user experience, reduces image acquisition errors, and enhances the system's practicality and interactive efficiency.

[0064] Combining the target symptom information with the image information uploaded by the patient, the auscultation information and palpation information that need to be further acquired are inferred to form a set of diagnostic elements that need to be supplemented.

[0065] Combining the target symptom information obtained through semantic analysis with the image information uploaded by the patient, the system conducts a comprehensive analysis of the currently acquired diagnostic information based on the preset TCM syndrome differentiation and reasoning rule library, and infers the auscultation information and palpation information that need to be further acquired, forming a set of diagnostic elements to be supplemented. The set of diagnostic elements includes but is not limited to the patient's breath characteristics, body odor, pulse characteristics, pulse frequency, etc. The inference process is based on the TCM four diagnostic theories and syndrome association rules to ensure automatic recognition and information completion of auscultation and palpation needs in a remote environment.

[0066] Specifically, the target symptom information (text data) and image analysis results (image features) are input into the diagnostic information integration module to form the acquired diagnostic data set:

[0067] Text feature set: (such as cough, yellow phlegm, sore throat);

[0068] Image feature set: (such as red tongue with yellow coating, red and swollen throat);

[0069] Calling the symptom-syndrome-four diagnosis information association rule base Will and Map to a set of possible syndrome types and determine whether the current information is sufficient to support the establishment of the syndrome type.

[0070] If the diagnosis information is insufficient, the system will infer the set of auscultation and palpation information that needs further confirmation based on the inference results. , such as "Do you have bad breath?", "Do you have a rapid pulse?", "Do you have a slippery pulse?"

[0071] right Each item in the is structurally marked as supplementary information to be collected, and the supplementary type (smell or palpation), content, collection method and other information are recorded to provide a basis for subsequent information acquisition.

[0072] Furthermore, when obtaining the text feature set, natural language processing (NLP) toolkits such as Python's spaCy, Jieba, or Transformers library can be used; a TCM symptom dictionary can be established, including standard symptom words, synonyms, and feature attributes (such as location, nature, and time), and the corresponding text features can be extracted through the TCM symptom dictionary.

[0073] Furthermore, when acquiring image feature sets, doctors can manually identify and annotate them. Alternatively, image recognition models (such as lightweight CNNs like MobileNet and ResNet) can be used. For tongue and facial images, existing models can be trained or deployed to identify features such as color, thickness, and moisture.

[0074] Furthermore, in constructing the symptom-syndrome-four diagnostic information association rules, we collected symptom-syndrome records in classical Chinese medicine literature (such as "Huangdi Neijing", "Shanghan Lun", "Jingui Yaolue", etc.); summarized modern Chinese medicine clinical guidelines and medical record databases to obtain standardized symptom-syndrome-four diagnostic information relationship data; and structured it into the correspondence between symptom items, inspection, auscultation, questioning and palpation characteristic items and syndrome type items.

[0075] Establish a TCM symptom ontology library, define standard terms, synonyms, symptom classifications and attributes (such as location, nature, time characteristics, etc.); establish a syndrome type standard library, standardize syndrome type names according to "TCM Diagnosis", and define the key symptoms and four diagnostic characteristics required for each syndrome type.

[0076] Based on the structured data, a rule base is defined. Each rule has the following form:

[0077] Rule form:

[0078] If [symptom set] + [four diagnostic characteristics set] meet a specific combination, then it is inferred as [syndrome type];

[0079] Example rule:

[0080] If symptoms include cough, yellow phlegm, and dry mouth, and a red tongue with yellow fur, the syndrome may be wind-heat invading the lungs.

[0081] Furthermore, the rule base supports:

[0082] Necessary condition rules (if missing, it is not true);

[0083] Sufficient condition rule (existence means high probability);

[0084] Assign weight coefficients and perform confidence calculations (for probabilistic reasoning models).

[0085] Furthermore, based on the rule base, an inference engine is built to support forward reasoning (inferring syndrome type from symptoms) and reverse reasoning (checking symptom completeness from syndrome type); a logical reasoning framework (such as the Drools rule engine) or a syndrome type inference algorithm based on Bayesian networks / graph neural networks is selected; and comprehensive reasoning of multiple rules is supported to output multiple alternative syndrome types and their confidence rankings.

[0086] In this step, the sense of smell and palpation information is automatically identified and inferred in an online environment to make up for the lack of information in the absence of face-to-face and palpation, thereby improving the accuracy of syndrome differentiation. Automatically prompting for additional information through rule-based reasoning can assist doctors in efficient diagnosis and reduce the risk of repeated inquiries and omissions. The resulting set of diagnostic elements is highly structured, making it easier to call modules such as the subsequent decision-making engine and conditioning recommendation system to achieve automated diagnosis and treatment. By prompting supplementary content, user participation and trust in the system can be enhanced, improving user stickiness and satisfaction with online consultations.

[0087] An accessibility analysis is performed on the set of diagnostic elements that need to be supplemented to determine the content that can be obtained through asking questions and / or collecting images.

[0088] Based on the system's preset mapping table of diagnostic element collection methods, the collection method of each diagnostic element to be supplemented is determined to determine whether the diagnostic element can be obtained through additional medical questions or through image collection, or whether a combination of the two is required for auxiliary acquisition; the analysis process forms a diagnostic element acquisition plan including a collection method annotation, and accordingly generates medical questions and / or image upload prompt information for supplementary collection, thereby realizing alternative or auxiliary collection of auscultation and palpation information.

[0089] Specifically:

[0090] Create a diagnostic element-collection method mapping table. Each diagnostic element defines its availability and acquisition method. The table entry format is as follows:

[0091]

[0092] From the above steps, the system obtains the set of diagnostic elements that need to be supplemented ;

[0093] For each ,The system searches the mapping table, determines its recommended collection method and ,alternative collection methods, and determines whether information acquisition ,can be achieved through medical interviews or image acquisition.

[0094] The system generates a collection plan for each diagnostic factor:

[0095] If it is possible to ask → generate additional questions;

[0096] If image is needed → generate image acquisition prompt;

[0097] If it can be obtained in combination → Generate questions and image prompts at the same time.

[0098] For example:

[0099] A collection of diagnostic elements: bad breath, slippery pulse, rapid pulse, and body odor.

[0100] System analysis results include:

[0101] Bad breath: Smell diagnosis is recommended, and can be replaced by asking → question: "Do you have a bad smell in your mouth?"

[0102] Slippery and rapid pulse: Palpation is recommended, and can be partially diagnosed through imaging + questioning →

[0103] Question: "Do you feel a rapid pulse?"

[0104] Image prompt: "Please upload a photo of the end of your finger";

[0105] Body odor: Smell diagnosis is recommended, which can be done by asking → Question: "Have you noticed a noticeable body odor recently?"

[0106] This step uses accessibility analysis to rationally convert information that originally requires doctors to perceive into patient-operable questions and answers or image uploads, thereby improving the information acquisition rate.

[0107] Based on the results of the availability analysis, supplementary diagnostic questions and / or supplementary image acquisition prompts are generated to guide patients to provide supplementary information related to auscultation and palpation.

[0108] Based on the results of the accessibility analysis of the set of diagnostic elements that need to be supplemented, the system automatically generates targeted question content and image collection prompt information according to the correspondence between the diagnostic elements and the collection method. The supplementary medical questions are used to guide the patient to make a self-description or selection of the information related to auscultation and / or palpation that needs to be collected, and the image collection prompt information is used to prompt the patient to collect and upload image information related to auscultation and / or palpation; the system displays the supplementary medical questions and / or image collection prompt information to the patient through the terminal interface, and guides the patient to complete the provision of supplementary information according to the prompt, so as to achieve effective acquisition of the diagnostic elements that need to be supplemented, and assist the "four examinations in combination" of traditional Chinese medicine in a remote environment.

[0109] Based on the determined collection method, the system converts the olfactory information that needs to be supplemented into actionable inquiry questions, such as "Do you feel a bad smell in your mouth?", "Have you felt that your body odor has worsened recently?".

[0110] For the physical examination information that needs to be acquired through image collection, image collection prompt information is generated, including the collection site (such as the end of the finger), shooting requirements (such as natural light, no obstruction) and upload method.

[0111] The system presents supplementary prompts on the user side, guiding patients to complete information supplementation through a combination of graphics and text or voice assistance.

[0112] For example:

[0113]

[0114] In a further improved embodiment, the diagnostic factor-acquisition method mapping table is established by:

[0115] During the TCM consultation process, the system combines the doctor's completed consultation content with the image information uploaded by the patient, and through semantic analysis and image recognition processing, determines the set of diagnostic elements that still need to be further obtained during the current diagnosis and treatment process:

[0116]

[0117] in, Indicates a missing diagnostic element, such as "bad breath", "slippery pulse", "body odor", "rapid pulse", etc.

[0118] For each diagnostic factor, the system sets the available collection methods , where the subscript Indicates collection test;

[0119] Preferably, the collection method includes:

[0120] It represents question (Q) - providing information through the patient's subjective answers;

[0121] Indicates image acquisition (I) - such as uploading tongue, finger, facial images, etc.;

[0122] It represents the combination of question and image (Q+I)—joint acquisition to improve reliability;

[0123] Furthermore, the collection method may also include voice collection, video shooting, physiological sensor interface, etc.

[0124] For each With each , the system extracts parameters from the following four dimensions:

[0125] 1) Diagnostic contribution

[0126] Indicates diagnostic elements The degree of importance in current dialectical reasoning. Methods of obtaining it include:

[0127] The system has built-in weights in the TCM syndrome-symptom association database;

[0128] Or the forward reasoning model can automatically assign values ​​to missing information through sensitivity analysis;

[0129] Value range: [0,1].

[0130] 2) Collection reliability

[0131] Indicates the way Collect elements Accuracy estimate:

[0132] Labeled by clinical experts or evaluated through training of historical medical consultation big data;

[0133] For example, "Ask a doctor to get bad breath" Can be set to 0.6.

[0134] 3) User feasibility score

[0135] Indicates the current user's Operational ability and coordination:

[0136] Dynamic adjustment based on terminal type (PC / mobile phone), whether it supports taking photos, user age, etc.

[0137] Value range: [0,1]. For example, set it to a lower value when elderly people use image acquisition.

[0138] 4) Historical success rate

[0139] Probability of the combination successfully collecting valid data in past consultation records:

[0140]

[0141] Wherein, is a smoothing factor, is the number of successful attempts, is the total number of attempts.

[0142] In order to improve the personalization and accuracy of the strategy, the system also introduces:

[0143] 1) Context-sensitive factor

[0144] Reflects the "sensitivity" of the diagnostic element in the current chief complaint, symptom combination, and image manifestation, defined as:

[0145]

[0146] For example, in the context of "red tongue with yellow fur + cough + yellow sputum", the sensitivity of "bad breath" is high.

[0147] 2) Multi-modal verification factor

[0148] Indicates whether a collection method can be verified by other methods (such as image + voice) to improve credibility, and the specific value can be preset in the system.

[0149] 3) Method penalty factor

[0150] Indicates the complexity, user resistance, etc. of the collection method, mainly used to suppress complex and tedious operation processes, and the specific value can be preset in the system.

[0151] The system calculates the comprehensive score of each diagnostic element under all collection methods:

[0152]

[0153] Wherein:

[0154] is a regulation coefficient, which can be set by the system and can be adjusted.

[0155] Final recommended method:

[0156]

[0157] ​Output all scoring results and recommended collection methods as structured mapping table entries.

[0158] Based on availability analysis, the system automatically pushes necessary supplementary questions and image prompts, effectively completing missing auscultation and palpation information in remote environments and improving comprehensive diagnosis and treatment. Furthermore, through the standardized template presentation of questions and image collection prompts, patients can efficiently complete the collection of required information without professional guidance, making operation simple and convenient.

[0159] See also Figure 2 In another embodiment, the present invention further provides a question-answering management system for a traditional Chinese medicine medical consultation system, comprising:

[0160] An acquisition module is used to acquire the content of the doctor's online consultation, which includes the doctor's questions to the patient and the patient's response information;

[0161] A semantic parsing module, configured to perform semantic parsing on the doctor's online consultation content and extract target symptom information for diagnosis;

[0162] A visual diagnosis prompt module is used to determine the symptom elements that need to be obtained through visual diagnosis based on the target symptom information, generate image acquisition prompt information, and prompt the patient to upload the corresponding image information;

[0163] An inference module is used to combine the target symptom information with the image information uploaded by the patient to infer the auscultation information and palpation information that need to be further obtained to form a set of diagnostic elements that need to be supplemented;

[0164] an availability analysis module, configured to perform an availability analysis on the set of diagnostic elements to be supplemented, and determine the content that can be obtained through asking questions and / or collecting images;

[0165] A supplementary prompt generation module is used to generate supplementary diagnostic questions and / or supplementary image acquisition prompt information based on the availability analysis results, and guide the patient to provide supplementary information related to auscultation and palpation;

[0166] It should be noted that the explanation of the embodiment of the question and answer management method of the aforementioned traditional Chinese medicine medical consultation system is also applicable to the device of the embodiment of the present application and will not be repeated here.

[0167] Those skilled in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented using a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0168] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0169] In the several embodiments provided in this application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of this application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), magnetic disk or optical disk, and other media that can store program code.

[0170] The above is only a specific embodiment of the present application. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in this application, which should be included in the scope of protection of this application. For some module structures that are not particularly clear in the present invention, the content recorded in the prior art shall prevail. The prior art mentioned in the above background technology section and the specific embodiment section of the present invention can be regarded as part of the present invention and is used to understand the meaning of some technical features or parameters.

Claims

1. A question-answer management method for a traditional Chinese medicine medical consultation system, characterized in that: The steps include: Obtain the content of the doctor's online consultation, including the doctor's questions to the patient and the patient's responses; Perform semantic analysis on the doctor's online consultation content to extract target symptom information for diagnosis; Based on the target symptom information, determining the symptom elements that need to be obtained through visual examination, generating image acquisition prompt information, and prompting the patient to upload the corresponding image information; Combining the target symptom information with the image information uploaded by the patient, inferring the auscultation information and palpation information that need to be further acquired, and forming a set of diagnostic elements that need to be supplemented; Performing an accessibility analysis on the set of diagnostic elements that need to be supplemented, and determining the content that can be obtained through asking questions and / or collecting images; Based on the system's preset diagnostic factor collection method mapping table, the collection method is determined for each diagnostic factor to be supplemented, determining whether the diagnostic factor can be obtained through additional medical questions, image acquisition, or a combination of both. The analysis process forms a diagnostic factor acquisition plan that includes collection method annotations, and based on this, generates medical questions for supplementary collection and / or image upload prompts, thereby achieving alternative or supplementary collection of auscultation and palpation information. Based on the results of the availability analysis, supplementary diagnostic questions and / or supplementary image acquisition prompts are generated to guide patients to provide supplementary information related to auscultation and palpation.

2. The question-answer management method of the TCM medical consultation system according to claim 1, characterized in that: The steps of semantically analyzing the content of the doctor's online consultation include: using natural language processing technology to perform word segmentation, keyword extraction, semantic classification and standardization on the consultation questions and answer information, and combining with the traditional Chinese medicine symptom terminology database to extract the patient's main symptoms, accompanying symptoms and their corresponding location characteristics, time characteristics and trait characteristics.

3. The question-answer management method of the traditional Chinese medicine medical consultation system according to claim 1, characterized in that: The steps of determining the symptom elements that need to be obtained through visual diagnosis include: the system calls the association rule library between symptoms and visual diagnosis elements, matches the target symptom information, generates image acquisition prompt information including image acquisition part, image acquisition requirements and image upload method, and prompts the image information of the corresponding part in the user interface.

4. The question-answer management method of the traditional Chinese medicine medical consultation system according to claim 1, characterized in that: In the step of forming a set of diagnostic elements that need to be supplemented, the system calls the symptom-syndrome-four-diagnosis information association rule library, and determines the syndrome candidate set and the missing auscultation or palpation elements through forward reasoning. The missing elements are recorded as a set of diagnostic elements that need to be supplemented.

5. The question-answer management method of the traditional Chinese medicine medical consultation system according to claim 1, characterized in that: In the step of performing an availability analysis on the set of diagnostic elements that need to be supplemented, the system calls a preset diagnostic element-acquisition method mapping table to determine whether each diagnostic element can be obtained through medical questions, image acquisition, or a combination of the two, and automatically generates corresponding supplementary medical questions or image acquisition prompt information based on the analysis results.

6. A question-answering management system for a traditional Chinese medicine medical consultation system, characterized in that: The system includes the following modules: An acquisition module is used to acquire the content of the doctor's online consultation, which includes the doctor's questions to the patient and the patient's response information; A semantic parsing module, configured to perform semantic parsing on the doctor's online consultation content and extract target symptom information for diagnosis; A visual diagnosis prompt module is used to determine the symptom elements that need to be obtained through visual diagnosis based on the target symptom information, generate image acquisition prompt information, and prompt the patient to upload the corresponding image information; An inference module is used to combine the target symptom information with the image information uploaded by the patient to infer the auscultation information and palpation information that need to be further obtained to form a set of diagnostic elements that need to be supplemented; an availability analysis module, configured to perform an availability analysis on the set of diagnostic elements to be supplemented, and determine the content that can be obtained through asking questions and / or collecting images; Based on the system's preset diagnostic factor collection method mapping table, the collection method is determined for each diagnostic factor to be supplemented, determining whether the diagnostic factor can be obtained through additional medical questions, image acquisition, or a combination of both. The analysis process forms a diagnostic factor acquisition plan that includes collection method annotations, and based on this, generates medical questions for supplementary collection and / or image upload prompts, thereby achieving alternative or supplementary collection of auscultation and palpation information. The supplementary prompt generation module is used to generate supplementary diagnostic questions and / or supplementary image acquisition prompt information based on the accessibility analysis results, and guide the patient to provide supplementary information related to auscultation and palpation.

7. The question-answer management system of the traditional Chinese medicine medical consultation system according to claim 6, characterized in that: The semantic analysis module includes: a natural language processing unit, which is used to perform word segmentation, keyword extraction, semantic classification and standardization on medical questions and answer information; a symptom extraction unit, which is used to extract the patient's main symptoms, accompanying symptoms and their corresponding location characteristics, time characteristics and trait characteristics in combination with the traditional Chinese medicine symptom terminology database.

8. The question-answer management system of the traditional Chinese medicine medical consultation system according to claim 6, characterized in that: The visual diagnosis prompt module includes: a rule matching unit, which is used to call the association rule library between symptoms and visual diagnosis elements to match the target symptom information; an image prompt generation unit, which is used to generate image acquisition prompt information including image acquisition part, image acquisition requirements and image upload method, and prompt the patient to upload image information of the corresponding part in the user interface.

9. The question-answer management system of the traditional Chinese medicine medical consultation system according to claim 6, characterized in that: The inference module includes: a syndrome reasoning unit, which is used to call the symptom-syndrome-four-diagnosis information association rule library and determine the syndrome candidate set through forward reasoning; an element missing judgment unit, which is used to identify the missing auscultation or palpation elements in the current diagnosis and treatment information and record them as a set of diagnostic elements that need to be supplemented.

10. The question-answer management system of the traditional Chinese medicine medical consultation system according to claim 6, characterized in that: The availability analysis module includes: a mapping table calling unit for calling a preset diagnostic factor-acquisition method mapping table; an acquisition method determination unit for determining whether each diagnostic factor can be acquired through medical questions, image acquisition, or a combination of the two; and a supplementary prompt generation module for automatically generating corresponding supplementary medical questions or image acquisition prompt information based on the analysis results.

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