AI-driven intelligent filing processing system and device for traditional Chinese medicine hospital guide data

Abstract

The invention discloses a traditional Chinese medicine hospital guide data intelligent filing processing system and device based on AI driving, and relates to the technical field of electric digital data processing. The AI-driven intelligent filing processing system for the traditional Chinese medicine diagnosis guide data comprises an inquiry information acquisition module, an inquiry information primary processing module, an intelligent distribution module for traditional Chinese medicine diagnosis guide modes, a traditional Chinese medicine diagnosis guide data tracking module and a traditional Chinese medicine diagnosis guide data filing processing module. According to the method, data filing processing is more scientific and reasonable, the efficiency and accuracy of traditional Chinese medicine hospital guide are improved, higher-quality and personalized medical services are provided for patients, a solid foundation is provided for development and progress of traditional Chinese medicine diagnosis and treatment, and the quality and efficiency of the traditional Chinese medicine medical services are powerfully guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and specifically to an AI-driven intelligent filing processing system and device for traditional Chinese medicine diagnosis data. Background Art

[0002] With the continuous development of the field of traditional Chinese medicine and the increasing demand for traditional Chinese medicine diagnosis and treatment among patients, the data of traditional Chinese medicine guidance has shown a trend of massive growth and diversification. However, traditional methods of managing traditional Chinese medicine guidance data mostly rely on manual operations and simple electronic records, which affects the quality and efficiency of traditional Chinese medicine guidance and is not conducive to promoting the sustainable development of traditional Chinese medicine.

[0003] Prior art, such as the invention patent with announcement number: CN112035674B, is a method, device, computer equipment and storage medium for obtaining guidance data. The method determines the user's consultation intention based on the consultation complaint information and user identity information sent by the receiving terminal; generates personalized consultation questions, and sends personalized consultation questions to the terminal; receives personalized replies from the terminal based on the personalized consultation questions; obtains the user's corresponding diagnosis path based on the consultation complaint information, user identity information and personalized replies; and obtains the user's corresponding guidance data based on the diagnosis path. This application first determines the user's consultation intention, consultation complaint and identity information, and then constructs the user's corresponding diagnosis path based on the consultation intention, consultation complaint and identity information, and obtains guidance data based on the diagnosis path, which can effectively reduce the number of invalid dialogue rounds during the consultation process and effectively improve the efficiency of collecting guidance data.

[0004] The prior art, such as the invention patent with publication number: CN107066830A, is a traditional Chinese medicine monitoring and filing data sharing system, including a cloud-based meridian analysis server, which is connected to a number of self-service physical examination terminals, and also includes a physical examination terminal management server, a hospital management server, a medical insurance management center, a user mobile terminal and a number of doctor processing terminals, wherein: the medical insurance management center: sends a physical examination login code to the user mobile terminal and the physical examination terminal management server respectively, and sends the user identity information to the physical examination terminal management server at the same time; the user mobile terminal: receives the physical examination login code sent by the medical insurance management center; receives the meridian physical examination results transmitted by the physical examination terminal management server; the self-service physical examination terminal: collects the input physical examination login code, and transmits the physical examination login code to the physical examination terminal management server; receives the user identity information transmitted by the physical examination terminal management server, and displays it.

[0005] It can be seen from the above scheme that the current TCM guidance data archiving and processing usually only matches the guidance content based on simple disease mapping relationships and contribution percentages, or only collects limited data such as physical examination login codes and user identity information for processing. For TCM guidance data, due to the individual differences of the groups involved in the guidance, the guidance data generated by different groups often have certain differences in integrity and quality. At this time, if a simple data archiving process is directly performed, it is difficult to ensure the accuracy and dynamic adaptability of the data archiving. Therefore, the current TCM guidance data archiving method is difficult to meet the requirements of modern TCM diagnosis and treatment for data comprehensiveness, accuracy and intelligence, and the overall archiving processing effect and adaptability need to be further improved. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides an AI-driven intelligent filing and processing system and device for traditional Chinese medicine guidance data, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: On the one hand, the present invention provides an AI-driven intelligent filing and processing system for traditional Chinese medicine guidance data, including: a consultation information collection module, which is used to use an AI-driven conversation window to collect the consultation information of prospective patients.

[0008] The preliminary processing module for medical consultation information is used to perform preliminary processing based on the medical consultation information of the pre-visiting personnel and analyze the basic indicator values ​​of the medical consultation information of the pre-visiting personnel.

[0009] The intelligent allocation module of the TCM guidance mode is used to determine the TCM guidance execution mode of the pre-patient based on the basic indicator value of the pre-patient's consultation information and make intelligent allocation.

[0010] The TCM consultation data tracking module is used to track the consultation process of pre-consulting personnel and obtain the TCM consultation data of pre-consulting personnel.

[0011] The TCM guide data filing processing module is used to analyze and process the TCM guide data of pre-visit personnel, obtain the TCM guide data filing judgment label of the pre-visit personnel, and determine the TCM guide data filing processing mode of the pre-visit personnel, thereby filing the TCM guide data of the pre-visit personnel based on the TCM guide data filing processing mode.

[0012] As an optimal technical solution, the pre-consultation personnel's consultation information includes the total number of bytes of the pre-consultation personnel's consultation information input text, the total number of consultation information keywords, the repetition rate of consultation information keyword filling, the completeness rate of the consultation information structure, the total number of consultation uploaded images, the average resolution of consultation uploaded images, and the average contrast of consultation uploaded images.

[0013] As a preferred technical solution, the basic indicator values ​​of the medical consultation information of the pre-consulting personnel are analyzed, and the specific analysis process is as follows: extract the ideal medical consultation control information stored in the cloud database, and the ideal medical consultation control information includes the ideal keyword repetition rate of the medical consultation information, the ideal structure filling completeness rate of the medical consultation information, the ideal average resolution of the medical consultation uploaded images, and the ideal average contrast of the medical consultation uploaded images.

[0014] According to the pre-consultation personnel's consultation information and the ideal consultation control information, the basic indicator value of the pre-consultation personnel's consultation information is obtained through analysis and processing.

[0015] The basic indicator value of the pre-consultation personnel's medical consultation information is a numerical result of quantifying the pre-consultation personnel's medical consultation information and the ideal medical consultation control information, and is used to characterize the completeness and complexity of the pre-consultation personnel's information upload.

[0016] As an optimal technical solution, the TCM guidance execution mode of the pre-consulting personnel is determined and intelligently allocated, and the specific process is as follows: extracting the basic indication threshold of the consultation information stored in the cloud database.

[0017] According to the basic indicator value and threshold of the medical consultation information of the pre-visiting person, the TCM guidance execution mode of the pre-visiting person is obtained through analysis and processing. The TCM guidance execution mode of the pre-visiting person is specifically an automatic reply mode or a manual reply mode.

[0018] If the basic indicator value of the pre-visit person's medical consultation information is less than the basic indicator threshold of the medical consultation information, the TCM guidance execution mode of the pre-visit person will be determined as the automatic reply mode; if the basic indicator value of the pre-visit person's medical consultation information is greater than or equal to the basic indicator threshold of the medical consultation information, the TCM guidance execution mode of the pre-visit person will be determined as the manual reply mode. The TCM guidance execution mode of the pre-visit person is determined and intelligent allocation is performed.

[0019] As an optimal technical solution, the consultation process of the pre-visit personnel is tracked to obtain the TCM guidance data of the pre-visit personnel. The specific process is as follows: the consultation process of the pre-visit personnel is tracked to obtain the consultation condition type of the pre-visit personnel, as well as the conversation text information during the consultation process and the image information uploaded for each new conversation, and combined them as the TCM guidance data of the pre-visit personnel.

[0020] The dialogue text information in the consultation process includes the total number of bytes of text information, the number of dialogue rounds and the redundancy rate of keywords in the text information.

[0021] The information of each newly added conversation uploaded image includes the resolution and contrast of each newly added conversation uploaded image.

[0022] As an optimal technical solution, the TCM guidance data of pre-consulting personnel are analyzed and processed to obtain the TCM guidance data of pre-consulting personnel. The specific process is as follows: extracting the definition dialogue text information and definition image information stored in the cloud database, the definition dialogue text information includes the total number of reference bytes of text information, the number of definition dialogue rounds and the definition text information keyword redundancy rate, and the definition image information includes the number of definition images, the definition image resolution and the definition image contrast.

[0023] Based on the conversation text information during the consultation process, the image information uploaded for each newly added conversation, the definition conversation text information and the definition image information, the judgment value for establishing the medical guide data file of the prospective patient is obtained through analysis and processing.

[0024] The judgment value for filing the pre-consultation personnel's guidance data is a numerical result that quantifies the conversation text information during the consultation process, the image information uploaded for each new conversation, the definition conversation text information, and the definition image information, and is used to characterize the degree of necessity for filing the pre-consultation personnel's traditional Chinese medicine guidance data.

[0025] The threshold for establishing a file for the medical guide data stored in the cloud database is extracted. If the filing judgment value of the medical guide data of the pre-visiting person is less than the threshold for establishing a file for the medical guide data, the filing judgment label of the TCM medical guide data of the pre-visiting person is defined as non-essential filing storage. If the filing judgment value of the medical guide data of the pre-visiting person is greater than or equal to the threshold for establishing a file for the medical guide data, the filing judgment label of the TCM medical guide data of the pre-visiting person is defined as necessary filing storage.

[0026] As an optimal technical solution, the specific process of determining the filing processing mode of the TCM guide data of the pre-visiting personnel is as follows: based on the filing judgment label of the TCM guide data of the pre-visiting personnel, when the filing judgment label of the TCM guide data of the pre-visiting personnel is necessary for filing and storage, the type of the pre-visiting personnel's consultation condition is extracted, and based on the historical retrieval information of the existing guidance data corresponding to each type of consultation condition stored in the cloud database, the historical retrieval information of the existing guidance data consistent with the type of the pre-visiting personnel's consultation condition is extracted through mapping and matching, and recorded as the expected retrieval reference information.

[0027] The estimated reference information includes the historical number of visitors, historical visit frequency, historical average reference interval duration and historical update frequency of each existing medical guidance data.

[0028] Based on the expected reference information, the indicator coefficient of the filing mode of the TCM guidance data of the prospective patients is obtained through analysis and processing.

[0029] The TCM guide data filing processing mode indication coefficient threshold value stored in the cloud database is extracted; if the TCM guide data filing processing mode indication coefficient of the pre-visiting personnel is greater than or equal to the TCM guide data filing processing mode indication coefficient threshold value, the TCM guide data filing processing mode of the pre-visiting personnel is determined as local filing storage; conversely, if the TCM guide data filing processing mode indication coefficient of the pre-visiting personnel is less than the TCM guide data filing processing mode indication coefficient threshold value, the TCM guide data filing processing mode of the pre-visiting personnel is determined as cloud-based filing storage; based on the TCM guide data filing processing mode of the pre-visiting personnel, the TCM guide data of the pre-visiting personnel is stored.

[0030] As an optimal technical solution, the indicator coefficient of the TCM guidance data filing processing mode of the pre-consulting personnel is specifically analyzed as follows: extract the reference verification information stored in the cloud database, and the reference verification information includes the number of reference history visitors, the reference history visit frequency, the reference history average reference interval time and the reference history update frequency.

[0031] According to the expected reference information and the reference verification information, comprehensive analysis and processing are performed to obtain the indicator coefficient of the TCM guidance data filing processing mode for the prospective patients.

[0032] The indicator coefficient of the filing processing mode of the TCM guide data of the pre-consulting personnel is a numerical result of quantifying the expected reference information and the reference verification information, and is used as a basis for selecting the filing processing mode of the TCM guide data of the pre-consulting personnel.

[0033] As a preferred technical solution, the specific formula for the judgment value of the pre-visiting personnel's guidance data file creation is as follows: , where B is the judgment value of the pre-visiting personnel's guidance data file creation, f is the total number of bytes of text information, is the total number of bytes of text information reference, g is the number of conversation rounds, To define the number of dialogue turns, h is the redundancy rate of keywords in text information, is to define the keyword redundancy rate of text information, r is the number of newly uploaded dialogue images, To define the number of images, Upload image resolution for jth newly added conversation, To define image resolution, Upload image contrast for the jth newly added conversation, To define image contrast, is the total number of bytes of text information, is the conversation turn weight, is the weight of the keyword redundancy rate of text information, is the weight of the number of images, Upload image resolution weights for new dialogs. is the contrast weight of the image uploaded by the newly added dialogue, j is the number of the image uploaded by each newly added dialogue, , e is a natural constant.

[0034] The second aspect of the present invention provides an AI-driven intelligent archiving and processing device for traditional Chinese medicine guidance data, comprising a processor, and a memory and a network interface connected to the processor: the network interface is connected to a non-volatile memory in a server; when the processor is running, it retrieves a computer program from the non-volatile memory through the network interface, and runs the computer program through the memory to be applied to the above-mentioned system.

[0035] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects:

[0036] (1) The present invention provides an AI-driven intelligent filing processing system and device for TCM guidance data. In the early stage of filing, the system determines whether the guidance data should be filed through the filing judgment value of the guidance data of the patient, and determines the specific data filing mode after the filing is determined. This realizes the comprehensive, accurate and intelligent management of TCM guidance data, improves the efficiency and accuracy of TCM guidance, and provides patients with better quality and personalized medical services.

[0037] (2) By analyzing the basic indicator values ​​of the pre-consulting personnel's medical consultation information, the present invention can more intuitively and accurately reflect the integrity of the pre-consulting personnel's information upload. At the same time, based on the quantified basic indicator values, it can more scientifically determine the TCM guidance execution mode of the pre-consulting personnel, provide patients with more personalized medical services, improve the efficiency and accuracy of the guidance, and also ensure the rational allocation and utilization of guidance resources.

[0038] (3) By determining the archiving and processing mode of the TCM guidance data of pre-consulting personnel, the present invention can clearly and explicitly classify and identify the TCM guidance data of pre-consulting personnel, making the data archiving and processing more scientific and reasonable, saving storage resources, and significantly improving the convenience, pertinence and scientificity of TCM guidance data management, thereby effectively ensuring the quality and efficiency of TCM medical services.

[0039] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0041] Figure 2A scatter plot showing the relationship between the average resolution of the consultation upload images of the pre-consultation personnel involved in the embodiments of the present invention and the basic indication value of the consultation information of the pre-consultation personnel.

[0042] Figure 3 A scatter plot showing the relationship between the keyword redundancy rate of the text information and the filing determination value of the pre-consultation data of the pre-consultation personnel involved in the embodiments of the present invention. Detailed implementation manners

[0043] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0044] Please refer to Figure 1 As shown, the first aspect of the embodiments of the present invention provides an AI-driven intelligent filing processing system for traditional Chinese medicine consultation data, including: a consultation information collection module for collecting the consultation information of pre-consultation personnel using an AI-driven conversation window.

[0045] It should be noted that the AI-driven conversation window refers to an interactive page driven by artificial intelligence technology and using technologies such as natural language processing and machine learning to achieve natural conversations with users.

[0046] In this embodiment, the consultation information of the pre-consultation personnel includes the total number of bytes of the input text of the consultation information of the pre-consultation personnel, the total number of keywords in the consultation information, the keyword repetition rate of the consultation information, the completion rate of the structure filling of the consultation information, the total number of uploaded consultation images, the average resolution of the uploaded consultation images, and the average contrast of the uploaded consultation images.

[0047] It should be understood that the total number of keywords in the consultation information refers to the total number of words with key indicative meanings used by the pre-consultation personnel when describing their conditions. These keywords can include symptom description words such as "pain", "fever", "cough", etc., and can also cover disease location words such as "head", "abdomen", "leg", etc.

[0048] It should also be noted that the specific screening method for the keywords in the consultation information is as follows: extract the consultation information of the pre-consultation personnel, perform stop word removal processing on the consultation information of the pre-consultation personnel, and then use a pre-constructed medical keyword library for matching and screening. Mark the words in the consultation information that match the words in the keyword library as keywords in the consultation information. The stop words refer to words that frequently appear in the consultation information but contribute little to understanding the core meaning of the text, such as "of", "is", "in", etc.

[0049] It should be noted that the medical keyword library includes various common symptom description words, disease site words and medical professional terms.

[0050] It should be understood that the keyword repetition rate of the medical consultation information refers to the ratio of the number of repeated keywords to the total number of keywords in the medical consultation information provided by the pre-consulting personnel. It should also be understood that the number of repeated keywords refers to the total number of each keyword that appears more than twice in the overall medical consultation information. The higher the keyword repetition rate in the medical consultation information of the pre-consulting personnel, that is, the more repeated keywords are in the overall medical consultation text, the clearer the medical consultation request of the pre-consulting personnel.

[0051] It should be understood that the completion rate of the medical consultation information structure refers to the proportion of items included in the medical consultation information of the pre-consulting person to the established medical consultation structure requirements. It should also be understood that the established medical consultation structure requirements refer to a set of standardized medical consultation frameworks set up to comprehensively and accurately collect the medical condition information of the pre-consulting person. This framework usually includes multiple item categories, such as basic information, symptom description, and medical history.

[0052] It should be understood that the average resolution of the uploaded consultation images and the average contrast of the uploaded consultation images are obtained by inputting each uploaded consultation image into an image processor to obtain the resolution value and contrast value of each uploaded consultation image, and then performing mean processing to obtain the average resolution of the uploaded consultation images and the average contrast of the uploaded consultation images.

[0053] The preliminary processing module for medical consultation information is used to perform preliminary processing based on the medical consultation information of the pre-visiting personnel and analyze the basic indicator values ​​of the medical consultation information of the pre-visiting personnel.

[0054] In this embodiment, the basic indicator values ​​of the medical consultation information of the pre-consulting personnel are analyzed, and the specific analysis process is as follows: the ideal medical consultation control information stored in the cloud database is extracted, and the ideal medical consultation control information includes the ideal keyword repetition rate of the medical consultation information, the ideal structure filling completeness rate of the medical consultation information, the ideal average resolution of the medical consultation uploaded image, and the ideal average contrast of the medical consultation uploaded image.

[0055] It should be noted that the ideal medical consultation comparison information stored in the cloud database is obtained by averaging the historical data of medical consultation information keyword repetition rate, medical consultation information structure filling completeness rate, average resolution of medical consultation uploaded images, and average contrast of medical consultation uploaded images before the database is established.

[0056] It should be noted that the cloud database is used to store reference indicator data, and the reference indicator data includes first reference indicator data, second reference indicator data and third reference indicator data.

[0057] The first reference indicator data includes ideal consultation control information, defined dialogue text information, defined image information, expected review reference information and review reference verification information.

[0058] The second reference indicator data includes a basic indication threshold of medical consultation information, a judgment threshold for establishing a medical consultation data file, and an indication coefficient threshold for an establishment processing mode of medical consultation data file.

[0059] The third reference indicator data includes the weight of the total number of keywords, the weight of the keyword repetition rate, the weight of the structure filling completeness rate, the weight of the total number of uploaded images, the weight of the resolution and the weight of the contrast. It also includes the weight of the total number of bytes of text information, the weight of the number of conversation rounds, the weight of the keyword redundancy rate of text information, the weight of the number of images, the weight of the resolution of images uploaded in new conversations and the weight of the contrast of images uploaded in new conversations. It also includes the weight of the number of historical visitors, the weight of the historical visit frequency, the weight of the historical average reading interval and the weight of the historical update frequency.

[0060] According to the pre-consultation personnel's consultation information and the ideal consultation control information, the basic indicator value of the pre-consultation personnel's consultation information is obtained through analysis and processing.

[0061] The basic indicator value of the pre-consultation personnel's medical consultation information is a numerical result of quantifying the pre-consultation personnel's medical consultation information and the ideal medical consultation control information, and is used to characterize the completeness and complexity of the pre-consultation personnel's information upload.

[0062] In a specific embodiment, the basic indicator value of the pre-consultation information is specifically expressed as follows: ,

[0063] in, is the basic indicator value of the pre-consultation personnel’s consultation information, The total number of keywords in the consultation information of the pre-consulting personnel. The total number of bytes of text input for the pre-consultation patient's consultation information, The repetition rate of keywords in the consultation information of the pre-consulting personnel. The ideal keyword repetition rate for the medical consultation information. The completion rate of the pre-consultation personnel's consultation information structure, The ideal structure filling rate of the medical consultation information, Total number of images uploaded for pre-consultation patients, Total number of images uploaded for ideal consultation, The average resolution of images uploaded for pre-consultation consultations, The ideal average resolution of images uploaded for consultation, The average contrast of the images uploaded for the pre-consultation consultation of the patient, The ideal average contrast of the image uploaded for the consultation, is the total weight of keywords, is the keyword repetition rate weight, is the weight of the structure filling completeness rate, is the weight of the total number of uploaded images, is the resolution weight, is the contrast weight, and e is a natural constant.

[0064] It should be noted that the total keyword weight, keyword repetition rate weight, structure filling completeness rate weight, total uploaded image weight, resolution weight and contrast weight all have value ranges between 0 and 1. In this embodiment, the total keyword weight is the total keyword weight preset in the database, which indicates the numerical value of the influence of the total number of keywords on the basic indicator value of the pre-visiting personnel's medical consultation information. The keyword repetition rate weight is the keyword repetition rate weight preset in the database, which indicates the numerical value of the influence of the keyword repetition rate on the basic indicator value of the pre-visiting personnel's medical consultation information. The structure filling completeness rate weight is the structure filling completeness rate weight preset in the database, which indicates the numerical value of the influence of the structure filling completeness rate on the basic indicator value of the pre-visiting personnel's medical consultation information. The total uploaded image weight is the total uploaded image weight preset in the database, which indicates the numerical value of the influence of the total number of uploaded images on the basic indicator value of the pre-visiting personnel's medical consultation information. The resolution weight is the resolution weight preset in the database, which indicates the numerical value of the resolution on the basic indicator value of the pre-visiting personnel's medical consultation information. The contrast weight is a contrast weight preset in a database, which indicates the numerical value of the influence degree of the contrast on the basic indicator value of the pre-consultation personnel's medical information. When used, the preset total keyword weight, keyword repetition rate weight, structure filling completeness rate weight, total uploaded image weight, resolution weight and contrast weight can be directly obtained from the database. The corresponding relationship can be a pre-set mapping relationship. For example, the total keyword weight, keyword repetition rate, structure filling completeness rate, total uploaded image weight, resolution weight and contrast are respectively mapped with the total keyword weight, keyword repetition rate weight, structure filling completeness rate weight, total uploaded image weight, resolution weight and contrast weight preset in the database to form a mapping set. The real-time total keyword weight, keyword repetition rate, structure filling completeness rate, total uploaded image weight, resolution weight and contrast are respectively input into the mapping set to obtain the total keyword weight, keyword repetition rate weight, structure filling completeness rate weight, total uploaded image weight, resolution weight and contrast weight, wherein the mapping relationship is one-to-one correspondence.

[0065] It should also be noted that in this embodiment, the basic indicator value of the pre-visiting person's medical information is obtained according to the total number of bytes of the pre-visiting person's medical information input text, the total number of medical information keywords, the medical information keyword repetition rate, the medical information structure filling completeness rate, the total number of medical consultation uploaded images, the average resolution of the medical consultation uploaded images, and the average contrast of the medical consultation uploaded images. This is based on the mutual influence between these parameters. For example, when the total number of medical consultation information keywords of the pre-visiting person is large, it means that the information provided is relatively rich, which is helpful for a comprehensive understanding of the condition. However, if the keyword repetition rate is high, that is, there are a large number of repeated or irrelevant keywords, it may interfere with the extraction of key information and increase the difficulty of information processing. If the total number of medical consultation uploaded images is large, and the average resolution and average contrast of the images are high, then the doctor Doctors can obtain clearer and more detailed image information of the disease, which helps to improve the accuracy of diagnosis. However, if the total number of images is too large but the resolution and contrast are low, doctors may spend more time and energy browsing the images, but find it difficult to obtain effective diagnostic information, which reduces the efficiency of diagnosis. The basic indicator value of the consultation information obtained by comprehensively considering these parameters can more comprehensively reflect the quality and value of the consultation information provided by the pre-consulting personnel, and provide an important reference for doctors to make preliminary diagnoses and formulate further diagnosis and treatment plans. When the basic indicator value of the consultation information of a pre-consulting person is high, it may be a good result of the coordination of various parameters, indicating that the pre-consulting person provides rich, accurate and organized consultation information, and the image quality is also high, which helps doctors make judgments more quickly and accurately.

[0066] See also Figure 2As shown, a scatter plot of the relationship between the average resolution of the consultation images uploaded by the pre-visit personnel involved in the embodiment of the present invention and the basic indicator value of the consultation information of the pre-visit personnel is shown, wherein the horizontal axis is the average resolution of the consultation images uploaded by the pre-visit personnel, and the vertical axis is the basic indicator value of the consultation information of the pre-visit personnel. The multiple scatter points in the figure are the average resolution of the consultation images uploaded by the pre-visit personnel involved in this embodiment versus the basic indicator value of the consultation information of the pre-visit personnel. It can be clearly seen from the figure that with the increase of the average resolution of the consultation images uploaded by the pre-visit personnel, the basic indicator value of the consultation information of the pre-visit personnel generally shows an upward trend. This is because, the larger the average resolution of the consultation images uploaded by the pre-visit personnel, the clearer the picture information uploaded by the pre-visit personnel, and the more accurately the details can be observed, thereby providing a more powerful basis for diagnosis, which makes The basic indicator value of medical consultation information also increases accordingly. However, the distribution of scatter points does not show a strict linear relationship, but has a certain degree of discreteness. This reflects that in the actual operating environment, in addition to the average resolution of the consultation images uploaded by the pre-consulting personnel, there are many other factors that will affect the basic indicator value of the medical consultation information of the pre-consulting personnel. For example, when the average resolution of the consultation uploaded images increases, if the total number of keywords in the text information provided by the pre-consulting personnel is small, it may affect the extraction of key information, thereby limiting the improvement of the basic indicator value of the medical consultation information to a certain extent. When the completion rate of the medical consultation information structure is low, even if the image resolution is high, it may be difficult to fully grasp due to the incompleteness of the overall information structure, resulting in the basic indicator value of the medical consultation information cannot simply increase linearly with the increase in image resolution.

[0067] In this implementation, by analyzing the basic indicator values ​​of the pre-consulting personnel's consultation information, the completeness of the pre-consulting personnel's information upload can be reflected more intuitively and accurately. At the same time, based on the quantified basic indicator values, the TCM guidance execution mode of the pre-consulting personnel can be determined more scientifically, providing patients with more personalized medical services, improving the efficiency and accuracy of the guidance, and also ensuring the rational allocation and utilization of guidance resources.

[0068] The intelligent allocation module of the TCM guidance mode is used to determine the TCM guidance execution mode of the pre-patient based on the basic indicator value of the pre-patient's consultation information and make intelligent allocation.

[0069] In this embodiment, the TCM guidance execution mode of the prospective patient is determined and intelligently allocated, and the specific process is as follows: extracting the basic indication threshold of the consultation information stored in the cloud database.

[0070] According to the basic indicator value and threshold of the medical consultation information of the pre-visiting person, the TCM guidance execution mode of the pre-visiting person is obtained through analysis and processing. The TCM guidance execution mode of the pre-visiting person is specifically an automatic reply mode or a manual reply mode.

[0071] If the basic indicator value of the pre-visit person's medical consultation information is less than the basic indicator threshold of the medical consultation information, the TCM guidance execution mode of the pre-visit person will be determined as the automatic reply mode; if the basic indicator value of the pre-visit person's medical consultation information is greater than or equal to the basic indicator threshold of the medical consultation information, the TCM guidance execution mode of the pre-visit person will be determined as the manual reply mode. The TCM guidance execution mode of the pre-visit person is determined and intelligent allocation is performed.

[0072] It should be understood that when the basic indicator value of the pre-visit person's medical information is less than the basic indicator threshold of the medical information, it means that the medical information uploaded by the pre-visit person may be relatively simple or poorly correlated with the symptoms. In this case, in order to save medical resources, the automatic reply mode can quickly provide the pre-visit person with some basic guidance and preliminary suggestions to improve the guidance efficiency. When the basic indicator value of the pre-visit person's medical information is greater than or equal to the basic indicator threshold of the medical information, it means that the medical information uploaded by the pre-visit person is relatively detailed and has a strong correlation with the symptoms. At this time, the condition of the pre-visit person may be relatively complicated and requires in-depth analysis and diagnosis by professional doctors. The manual reply mode can ensure that the doctor has a comprehensive understanding of the pre-visit person's situation and provide more accurate and personalized diagnosis and treatment suggestions and guidance, so as to avoid misdiagnosis or missed diagnosis due to incomplete information.

[0073] It should be noted that the intelligent allocation is carried out by allocating the consultation requests of the pre-visiting personnel to the corresponding processing channels according to the determined TCM guidance execution mode. If it is determined to be an automatic reply mode, the system will automatically retrieve the pre-set knowledge base, extract key content according to the consultation information of the pre-visiting personnel, match the corresponding reply content from the knowledge base, and present it to the pre-visiting personnel in a concise and clear manner. For example, for some common symptoms and simple questions, the system can quickly give automatic replies such as TCM health care suggestions and possible cause analysis. If it is determined to be a manual reply mode, the consultation request will be assigned to a professional TCM doctor or medical team, which can conduct in-depth analysis and comprehensive judgment based on the detailed consultation information provided by the pre-visiting personnel, and then give personalized diagnosis and treatment suggestions. During the allocation process, the system can perform intelligent scheduling based on factors such as the doctor's professional field and workload to ensure that the pre-visiting personnel can receive professional TCM guidance services as soon as possible.

[0074] It should also be noted that when the pre-consulting person raises further questions or expresses dissatisfaction with the content of the automatic reply, the system can automatically recognize this feedback and switch the guidance execution mode from the automatic reply mode to the manual reply mode. For example, the pre-consulting person may feel that the automatic reply is not detailed enough or fails to solve his core problem. By clearly expressing similar sentences such as "I need a doctor's answer" in the interactive interface, the mode switch is triggered. If the pre-consulting person's inquiry information is further analyzed by the system during the automatic reply process and the content is found to be highly complex, it is also necessary to switch to the manual reply mode. For example, when the automatic reply system finds that there are contradictions between the keywords in the symptom description of the pre-consulting person during the processing process and cannot give accurate automatic reply content, it needs to switch to the manual reply mode so that the doctor can conduct more in-depth inquiries and judgments.

[0075] The TCM consultation data tracking module is used to track the consultation process of pre-consulting personnel and obtain the TCM consultation data of pre-consulting personnel.

[0076] It should be noted that the tracking of the consultation process of the pre-consulting personnel refers to the system background continuously recording and monitoring each link and data changes in the entire consultation process starting from the time the pre-consulting personnel initiates the consultation request. By comprehensively tracking the consultation process of the pre-consulting personnel, rich TCM guidance data can be obtained, which provides a strong basis for subsequent analysis and processing, so as to better understand the needs and medical conditions of the pre-consulting personnel and provide them with more accurate and personalized TCM guidance services.

[0077] In this embodiment, the consultation process of the pre-visiting personnel is tracked to obtain the TCM guidance data of the pre-visiting personnel. The specific process is as follows: the consultation process of the pre-visiting personnel is tracked to obtain the consultation condition type of the pre-visiting personnel, as well as the conversation text information during the consultation process and the image information uploaded for each new conversation, and combined them as the TCM guide data of the pre-visiting personnel.

[0078] The dialogue text information in the consultation process includes the total number of bytes of text information, the number of dialogue rounds and the redundancy rate of keywords in the text information.

[0079] It should be understood that the number of dialogue rounds refers to the number of times the pre-consultant and the TCM guidance system have dialogues during the consultation process. Each time the pre-consultant asks a question or describes the condition, and the system gives a response, it is counted as one round of dialogue.

[0080] It should be understood that the text information keyword redundancy rate refers to the ratio of the number of times a certain keyword appears repeatedly in the text information provided by the pre-consulting personnel to the total number of text keywords.

[0081] The information of each newly added conversation uploaded image includes the resolution and contrast of each newly added conversation uploaded image.

[0082] The TCM guide data filing processing module is used to analyze and process the TCM guide data of pre-visit personnel, obtain the TCM guide data filing judgment label of the pre-visit personnel, and determine the TCM guide data filing processing mode of the pre-visit personnel, thereby filing the TCM guide data of the pre-visit personnel based on the TCM guide data filing processing mode.

[0083] In this embodiment, the TCM guidance data of pre-consulting personnel are analyzed and processed to obtain the TCM guidance data archiving and determination labels of the pre-consulting personnel. The specific process is as follows: extracting the definition dialogue text information and definition image information stored in the cloud database, the definition dialogue text information includes the total number of reference bytes of text information, the number of definition dialogue rounds and the definition text information keyword redundancy rate, and the definition image information includes the number of definition images, the definition image resolution and the definition image contrast.

[0084] It should be noted that the defined conversation text information and defined image information stored in the cloud database are obtained by averaging the historical data of the total number of text information bytes, the number of conversation rounds, the redundancy of text information keywords, the number of images, the image resolution and the image contrast before the database is established.

[0085] Based on the conversation text information during the consultation process, the image information uploaded for each newly added conversation, the definition conversation text information and the definition image information, the judgment value for establishing the medical guide data file of the prospective patient is obtained through analysis and processing.

[0086] The judgment value for filing the pre-consultation personnel's guidance data is a numerical result that quantifies the conversation text information during the consultation process, the image information uploaded for each new conversation, the definition conversation text information, and the definition image information, and is used to characterize the degree of necessity for filing the pre-consultation personnel's traditional Chinese medicine guidance data.

[0087] In a specific embodiment, the reference data file establishment determination value of the pre-consulting person is specifically formulated as follows:

[0088] Among them, B is the judgment value of the pre-visiting personnel's guidance data file creation, f is the total number of bytes of text information, is the total number of bytes of text information reference, g is the number of conversation rounds, To define the number of dialogue turns, h is the redundancy rate of keywords in text information, is to define the keyword redundancy rate of text information, r is the number of newly uploaded dialogue images, To define the number of images, Upload image resolution for jth newly added conversation, To define image resolution, Upload image contrast for the jth newly added conversation, To define image contrast, is the total number of bytes of text information, is the conversation turn weight, is the weight of the keyword redundancy rate of text information, is the weight of the number of images, Upload image resolution weights for new dialogs. is the contrast weight of the image uploaded by the newly added dialogue, j is the number of the image uploaded by each newly added dialogue, , e is a natural constant.

[0089] It should be noted that the weight of the total number of bytes of text information, the weight of the number of conversation rounds, the weight of the redundancy rate of keywords in text information, the weight of the number of images, the weight of the resolution of newly uploaded images in conversations, and the weight of the contrast of newly uploaded images in conversations all range from 0 to 1. In this embodiment, the weight of the total number of bytes of text information is the weight of the total number of bytes of text information preset in the database, which indicates the numerical value of the influence of the total number of bytes of text information on the judgment value of the filing of the pre-visiting personnel's medical guidance data. The weight of the number of conversation rounds is the weight of the number of conversation rounds preset in the database, which indicates the numerical value of the influence of the number of conversation rounds on the judgment value of the filing of the pre-visiting personnel's medical guidance data. The information keyword redundancy rate weight is the text information keyword redundancy rate weight preset in the database, which indicates the numerical value of the influence of the text information keyword redundancy rate on the judgment value of the pre-visiting personnel's guidance data filing. The image number weight is the image number weight preset in the database, which indicates the numerical value of the influence of the image number on the judgment value of the pre-visiting personnel's guidance data filing. The newly added conversation upload image resolution weight is the newly added conversation upload image resolution weight preset in the database, which indicates the numerical value of the influence of the newly added conversation upload image resolution on the judgment value of the pre-visiting personnel's guidance data filing. The newly added conversation upload image contrast weight is the newly added conversation upload image contrast weight preset in the database. The newly added conversation uploaded image contrast weight is set, which represents the numerical value of the influence of the newly added conversation uploaded image contrast on the pre-visiting personnel's guidance data archiving judgment value. When used, the preset text information total byte weight, conversation round number weight, text information keyword redundancy rate weight, image number weight, newly added conversation uploaded image resolution weight and newly added conversation uploaded image contrast weight can be directly obtained from the database. The corresponding relationship can be a preset mapping relationship, for example, the total number of text information bytes, the number of conversation rounds, the text information keyword redundancy rate, the number of images, the newly added conversation uploaded image resolution and the newly added conversation uploaded image contrast weight. A mapping set is formed with the total number of text information bytes weight, the number of conversation rounds weight, the text information keyword redundancy rate weight, the image number weight, the new conversation uploaded image resolution weight and the new conversation uploaded image contrast weight preset in the database, and the real-time total number of text information bytes, the number of conversation rounds, the text information keyword redundancy rate, the image number and the new conversation uploaded image resolution are respectively input into the mapping set to obtain the total number of text information bytes weight, the conversation rounds weight, the text information keyword redundancy rate weight, the image number weight, the new conversation uploaded image resolution weight and the new conversation uploaded image contrast weight, wherein the mapping relationship is one-to-one corresponding.

[0090] It should also be noted that in this embodiment, the judgment value for establishing a medical guide data file for the pre-visiting person is obtained based on the total number of bytes of text information, the number of conversation rounds, the redundancy rate of text information keywords, the number of newly added conversation uploaded images, and the resolution of each newly added conversation uploaded image. This is based on the mutual influence between these parameters. For example, when the total number of bytes of text information is large, although it may contain more details, if the number of conversation rounds is small, it may mean that the pre-visiting person has failed to fully explain the condition, or the doctor has failed to guide out enough information. If the keyword appears too frequently but is very concentrated, it may be that only one aspect is repeatedly emphasized, while other important information is ignored. For example, the patient frequently mentions "headache" in the text, but mentions less other key information such as the specific nature of the headache and accompanying symptoms. The number of images uploaded in new conversations and the resolution of each image uploaded in new conversations also influence each other. If the number of images uploaded in new conversations is large, but the resolution is very low, the doctor may not be able to clearly observe the lesion site or features from the image, which will affect the accuracy of the diagnosis. On the contrary, if the image resolution is very high, but there are only one or two images of key parts, it may not be enough to fully assess the condition. In summary, these parameters influence each other and jointly determine the judgment value of the pre-consultation personnel's guidance data filing. Comprehensive consideration is needed to more accurately evaluate the quality and value of the guidance data.

[0091] See also Figure 3As shown, a scatter plot of the relationship between the text information keyword redundancy rate involved in the embodiment of the present invention and the diagnosis data filing judgment value of the pre-visiting personnel, wherein the horizontal axis is the text information keyword redundancy rate, and the vertical axis is the diagnosis data filing judgment value of the pre-visiting personnel. The multiple scatter points in the figure are the diagnosis data filing judgment values ​​of the pre-visiting personnel corresponding to the text information keyword redundancy rate involved in this embodiment. It can be clearly seen from the figure that with the increase of the text information keyword redundancy rate, the diagnosis data filing judgment value of the pre-visiting personnel generally shows a downward trend. This is because the greater the text information keyword redundancy rate, the more unclear the key information is when the pre-visiting personnel describes the condition, and there are more repeated keywords, which is not conducive to quickly capturing the key condition characteristics, thereby reducing the accuracy of the diagnosis. However, the distribution of the scatter points does not show a strict linear relationship, but has a certain degree of discreteness, which reflects that in actual operation In the environment, in addition to the factor of text information keyword redundancy rate, there are many other factors that will affect the judgment value of the pre-consultation personnel's guidance data file establishment. For example, when the text information keyword redundancy rate decreases, if the total number of bytes of text information is small, it may lead to an incomplete description of the condition, affecting the judgment of the overall situation, thereby limiting the improvement of the guidance data file establishment judgment value to a certain extent. When the number of dialogue rounds is low, even if the keyword redundancy rate is low, the doctor's understanding of the condition may be biased due to the lack of further interaction, resulting in the guidance data file establishment judgment value cannot simply increase linearly with the decrease of the keyword redundancy rate. If the number of images uploaded in the new dialogue is small or the resolution of the images uploaded in each new dialogue is low, the guidance data file establishment judgment value will also be affected due to the lack of image information assistance, and it cannot continue to rise only based on the reduction of the keyword redundancy rate.

[0092] In this embodiment, the judgment value for filing the pre-consultation personnel's guide data can accurately represent the degree of necessity for filing the pre-consultation personnel's TCM guide data, thereby achieving accurate judgment on the necessity for filing the TCM guide data and improving the efficiency of medical resource utilization.

[0093] The threshold for establishing a file for the medical guide data stored in the cloud database is extracted. If the filing judgment value of the medical guide data of the pre-visiting person is less than the threshold for establishing a file for the medical guide data, the filing judgment label of the TCM medical guide data of the pre-visiting person is defined as non-essential filing storage. If the filing judgment value of the medical guide data of the pre-visiting person is greater than or equal to the threshold for establishing a file for the medical guide data, the filing judgment label of the TCM medical guide data of the pre-visiting person is defined as necessary filing storage.

[0094] It should be understood that when the judgment value for establishing a file of the pre-visiting personnel's guidance data is less than the judgment threshold for establishing a file of the guidance data, it means that the guidance data involved in the entire consultation process of the pre-visiting personnel is relatively simple, and the necessity for data archiving is not high. In order to avoid unnecessary data storage and save resource space in the cloud database, the guidance data is not archived and stored. When the judgment value for establishing a file of the pre-visiting personnel's guidance data is greater than or equal to the judgment threshold for establishing a file of the guidance data, it means that the guidance data involved in the entire consultation process of the pre-visiting personnel is relatively complete and detailed, and can provide valuable reference basis for subsequent case analysis and diagnosis of similar diseases. Therefore, the guidance data needs to be archived and stored to improve data retrieval efficiency.

[0095] In this embodiment, the specific process of determining the filing processing mode of the TCM guide data of the pre-visiting personnel is as follows: based on the filing judgment label of the TCM guide data of the pre-visiting personnel, when the filing judgment label of the TCM guide data of the pre-visiting personnel is necessary for filing and storage, the type of the pre-visiting personnel's consultation condition is extracted, and based on the historical retrieval information of the existing guidance data corresponding to each type of consultation condition stored in the cloud database, the historical retrieval information of the existing guidance data consistent with the type of the pre-visiting personnel's consultation condition is extracted through mapping and matching, and recorded as the expected retrieval reference information.

[0096] It should be noted that the existing medical guidance data refers to the data generated by patients during the TCM guidance process that has been sorted by the system and stored in the cloud database.

[0097] The estimated reference information includes the historical number of visitors, historical visit frequency, historical average reference interval duration and historical update frequency of each existing medical guidance data.

[0098] It should be noted that the historical average reference interval refers to the existing guidance data that is consistent with the type of condition the pre-consultant was asked about, and has been referenced multiple times in the past period of time, and is the average value of the time intervals between two adjacent references to multiple sets of data.

[0099] It should be noted that the historical update frequency refers to the frequency with which the existing guidance data consistent with the type of condition to be diagnosed by the pre-consultant is updated within the storage period. The historical update frequency can reflect the changes and timeliness of this type of condition data.

[0100] The reference verification information stored in the cloud database is extracted, wherein the reference verification information includes the number of reference history visitors, the reference history visit frequency, the reference history average reference interval duration, and the reference history update frequency.

[0101] It should be noted that the reference verification information stored in the cloud database is obtained by averaging the historical number of visitors, historical visit frequency, historical average reference interval and historical update frequency before the database is established.

[0102] According to the expected reference information and the reference verification information, comprehensive analysis and processing are performed to obtain the indicator coefficient of the TCM guidance data filing processing mode for the prospective patients.

[0103] The indicator coefficient of the filing processing mode of the TCM guide data of the pre-consulting personnel is a numerical result of quantifying the expected reference information and the reference verification information, and is used as a basis for selecting the filing processing mode of the TCM guide data of the pre-consulting personnel.

[0104] In a specific embodiment, the TCM guidance data archiving processing mode indicator coefficient of the pre-consulting personnel is specifically formulated as follows: ,

[0105] in, The index coefficient of the TCM guidance data archiving processing mode for pre-consultation personnel, is the number of historical visitors to the i-th existing medical guidance data, To refer to the historical number of visitors, is the historical access frequency of the i-th existing medical guidance data, To refer to the historical visit frequency, is the historical average reading interval of the i-th existing guidance data, To refer to the historical average reading interval, is the historical update frequency of the i-th existing guidance data, To refer to the historical update frequency, is the weight of the number of historical visitors, is the historical access frequency weight, is the weight of the historical average reading interval duration, is the historical update frequency weight, i is the number of each existing guidance data, , n is the number of existing guidance data, and e is a natural constant.

[0106] It should be noted that the value range of the historical visitor number weight, historical visit frequency weight, historical average review interval weight and historical update frequency weight are all between 0 and 1. In this embodiment, the historical visitor number weight is the historical visitor number weight preset in the database, which indicates the numerical value of the influence of the historical visitor number on the indication coefficient of the TCM guidance data filing processing mode for pre-visiting personnel. The historical visit frequency weight is the historical visit frequency weight preset in the database, which indicates the numerical value of the influence of the historical visit frequency on the indication coefficient of the TCM guidance data filing processing mode for pre-visiting personnel. The historical average review interval weight is the historical average review interval weight preset in the database, which indicates the numerical value of the influence of the historical average review interval on the indication coefficient of the TCM guidance data filing processing mode for pre-visiting personnel. The historical update frequency weight is the historical update frequency weight preset in the database. A numerical value representing the degree of influence of the historical update frequency on the indicator coefficient of the filing processing mode of the traditional Chinese medicine guidance data of the pre-visiting personnel. When used, the preset historical visit number weight, historical visit frequency weight, historical average review interval length weight and historical update frequency weight can be directly obtained from the database. The corresponding relationship can be a pre-set mapping relationship. For example, the historical number of visitors, historical visit frequency, historical average review interval length and historical update frequency are respectively mapped with the historical number of visitors weight, historical visit frequency weight, historical average review interval length weight and historical update frequency weight preset in the database to form a mapping set. The real-time historical number of visitors, historical visit frequency, historical average review interval length and historical update frequency are respectively input into the mapping set to obtain the historical number of visitors weight, historical visit frequency weight, historical average review interval length weight and historical update frequency weight, and the mapping relationship is one-to-one correspondence.

[0107] It should also be noted that in this embodiment, the TCM guidance data file processing mode indicator coefficient of the pre-visiting personnel is obtained by processing the historical number of visitors, historical visit frequency, historical average reading interval and historical update frequency of each existing guidance data, taking into account the mutual influence between these parameters. For example, when the historical number of visitors to a certain existing guidance data is large, it means that the data may have received widespread attention, but if its historical visit frequency is low, it means that the data has a low reference value. At the same time, if the historical average reading interval of the data is short, it means that it is frequently consulted and referenced, and may play an important role in the current TCM guidance. However, if the historical update frequency is also low, then as time goes by, the data may gradually become outdated and cannot accurately reflect the latest medical knowledge and clinical experience. In summary, these parameters influence each other and jointly determine the TCM guidance data file processing mode indicator coefficient. In practical applications, these parameters need to be comprehensively considered in order to more accurately evaluate the value and applicability of existing guidance data and provide pre-visiting personnel with better TCM guidance services.

[0108] In this embodiment, by analyzing the indicator coefficient of the filing processing mode of the TCM guide data of the pre-consulting personnel, the selection of the filing processing mode is made more objective and accurate, avoiding the uncertainty of subjective judgment, and the most suitable filing processing mode can be determined according to the specific data values. It can provide a scientific basis for the filing processing of the TCM guide data, thereby improving the scientificity and rationality of the filing processing of the TCM guide data.

[0109] The TCM guide data filing processing mode indication coefficient threshold value stored in the cloud database is extracted; if the TCM guide data filing processing mode indication coefficient of the pre-visiting personnel is greater than or equal to the TCM guide data filing processing mode indication coefficient threshold value, the TCM guide data filing processing mode of the pre-visiting personnel is determined as local filing storage; conversely, if the TCM guide data filing processing mode indication coefficient of the pre-visiting personnel is less than the TCM guide data filing processing mode indication coefficient threshold value, the TCM guide data filing processing mode of the pre-visiting personnel is determined as cloud-based filing storage; based on the TCM guide data filing processing mode of the pre-visiting personnel, the TCM guide data of the pre-visiting personnel is stored.

[0110] It should be understood that when the indication coefficient of the filing processing mode of the TCM guide data of the pre-visiting personnel is greater than or equal to the indication coefficient threshold of the TCM guide data filing processing mode, it means that the call frequency of the existing guidance data corresponding to the pre-visiting personnel's consultation condition type is relatively high and has a greater reference value. In order to facilitate the medical staff to search and call, it is necessary to locally file and store the TCM guide data of the pre-visiting personnel. When the indication coefficient of the filing processing mode of the TCM guide data of the pre-visiting personnel is less than the indication coefficient threshold of the TCM guide data filing processing mode, it means that the call frequency of the existing guidance data corresponding to the pre-visiting personnel's consultation condition type is relatively low and the reference value is not strong. The TCM guide data of the pre-visiting personnel can be filed and stored in the cloud.

[0111] It should be noted that the storage of pre-patient guidance data also requires the use of data encryption and anonymization processing technology, increased security management and privacy protection instructions for the guidance data, and ensuring the security of sensitive information.

[0112] In a specific embodiment, the AES (Advanced Encryption Standard) algorithm can be used for the storage of pre-patient guidance data. The AES algorithm is widely used for its security and efficiency. It regards the guidance data as a series of byte blocks, and then encrypts these byte blocks through a specific key. Assuming that the guidance data is a message M and the key is K, the encryption process is to operate M with K through the AES algorithm to obtain the ciphertext C. In this process, the encryption algorithm will perform a series of permutation, replacement and obfuscation operations on each byte in the message M, and the rules of these operations are determined by the key K. The decryption process is to use the same key K to perform an inverse operation on the ciphertext C, thereby restoring the original guidance data M.

[0113] In a specific embodiment, for the anonymization of the pre-patient guidance data, such as sensitive information such as the pre-patient ID number, a replacement technology can be used. Instead of directly storing the real ID number or phone number, it is replaced with a randomly generated unique identifier through a mapping table. For example, a hash function is used to convert the ID number into a hash value of a fixed length. This hash value is used as a unique identifier in the system to associate the guidance data, but the original ID number cannot be deduced from this hash value, thereby protecting the privacy of the patient.

[0114] In this embodiment, by determining the filing and processing mode of the TCM guide data of the pre-patients, the TCM guide data of the pre-patients can be clearly classified and identified, making the data filing and processing more scientific and reasonable, saving storage resources, and significantly improving the convenience, pertinence and scientificity of TCM guide data management, effectively ensuring the quality and efficiency of TCM medical services.

[0115] The second aspect of an embodiment of the present invention provides an AI-driven intelligent archiving and processing device for traditional Chinese medicine guidance data, comprising a processor, and a memory and a network interface connected to the processor: the network interface is connected to a non-volatile memory in a server; when the processor is running, it retrieves a computer program from the non-volatile memory through the network interface, and runs the computer program through the memory to be applied to the system described above.

[0116] In this embodiment, by providing an AI-driven intelligent filing processing system and device for TCM guidance data, in the early stage of filing, the filing judgment value of the guidance data of the pre-patient is used to determine whether the guidance data is to be filed, and after the filing is determined, the specific data filing mode is determined, thereby realizing comprehensive, accurate and intelligent management of TCM guidance data, improving the efficiency and accuracy of TCM guidance, and providing patients with better quality and personalized medical services.

[0117] It should be noted that, in one embodiment, the present invention can also provide personalized health management and preliminary diagnosis to the patient based on the information provided by the pre-patient, and can also combine the user's symptoms and health data to quickly give professional Chinese medicine advice and provide online registration services.

[0118] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0119] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. As long as they do not deviate from the structure of the present invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. An AI-driven intelligent file-building and processing system for TCM diagnosis data, characterized by: include: The consultation information collection module is used to collect the consultation information of the patients who are about to see the doctor using the AI-driven conversation window; The preliminary processing module of the medical consultation information is used to perform preliminary processing based on the medical consultation information of the pre-visiting personnel and analyze the basic indicator values ​​of the medical consultation information of the pre-visiting personnel; The intelligent allocation module of TCM guidance mode is used to determine the TCM guidance execution mode of the pre-visiting personnel based on the basic indicator value of the pre-visiting personnel's consultation information, and to make intelligent allocation; The TCM consultation data tracking module is used to track the consultation process of the pre-consulting personnel and obtain the TCM consultation data of the pre-consulting personnel; The TCM guide data filing processing module is used to analyze and process the TCM guide data of pre-visit personnel, obtain the TCM guide data filing judgment label of the pre-visit personnel, and determine the TCM guide data filing processing mode of the pre-visit personnel, thereby filing the TCM guide data of the pre-visit personnel based on the TCM guide data filing processing mode.

2. The AI-driven intelligent filing and processing system for TCM diagnosis data according to claim 1 is characterized by: The pre-consultation personnel's consultation information includes the total number of bytes of the pre-consultation personnel's consultation information input text, the total number of consultation information keywords, the consultation information keyword repetition rate, the consultation information structure filling completeness rate, the total number of consultation uploaded images, the average resolution of consultation uploaded images, and the average contrast of consultation uploaded images.

3. The AI-driven intelligent filing and processing system for TCM diagnosis data according to claim 2 is characterized by: The specific analysis process of analyzing the basic indicator value of the pre-consultation personnel's consultation information is as follows: Extracting ideal medical consultation control information stored in a cloud database, wherein the ideal medical consultation control information includes ideal keyword repetition rate of medical consultation information, ideal structure filling completeness rate of medical consultation information, ideal average resolution of medical consultation uploaded images, and ideal average contrast of medical consultation uploaded images; According to the pre-visit person's consultation information and the ideal consultation control information, the basic indicator value of the pre-visit person's consultation information is obtained by analysis and processing; The basic indicator value of the pre-consultation personnel's medical consultation information is a numerical result of quantifying the pre-consultation personnel's medical consultation information and the ideal medical consultation control information, and is used to characterize the completeness and complexity of the pre-consultation personnel's information upload.

4. The AI-driven intelligent filing and processing system for TCM diagnosis data according to claim 1 is characterized in that: The specific process of determining the TCM guidance execution mode of the pre-consulting personnel and performing intelligent allocation is as follows: Extracting basic indication thresholds of medical consultation information stored in the cloud database; According to the basic indicator value of the pre-visiting person's medical consultation information and the basic indicator threshold of the medical consultation information, the TCM consultation execution mode of the pre-visiting person is obtained by analyzing and processing, and the TCM consultation execution mode of the pre-visiting person is specifically an automatic reply mode or a manual reply mode; If the basic indicator value of the pre-visit person's medical consultation information is less than the basic indicator threshold of the medical consultation information, the TCM guidance execution mode of the pre-visit person will be determined as the automatic reply mode; if the basic indicator value of the pre-visit person's medical consultation information is greater than or equal to the basic indicator threshold of the medical consultation information, the TCM guidance execution mode of the pre-visit person will be determined as the manual reply mode. The TCM guidance execution mode of the pre-visit person is determined and intelligent allocation is performed.

5. According to claim 1, the AI-driven intelligent filing and processing system for TCM diagnosis data is characterized by: The consultation process of the pre-visiting personnel is tracked to obtain the TCM consultation data of the pre-visiting personnel. The specific process is as follows: Track the consultation process of the pre-consultants, obtain the type of the pre-consultant's consultation condition, the text information of the conversation during the consultation process, and the image information uploaded for each newly added conversation, and combine it with the TCM guidance data of the pre-consultants; The dialogue text information during the consultation process includes the total number of text information bytes, the number of dialogue rounds and the redundancy rate of text information keywords; The information of each newly added conversation uploaded image includes the resolution and contrast of each newly added conversation uploaded image.

6. The AI-driven intelligent filing and processing system for TCM diagnosis data according to claim 5 is characterized by: The TCM guidance data of the pre-visiting personnel are analyzed and processed to obtain the TCM guidance data file building judgment label of the pre-visiting personnel. The specific process is as follows: Extracting the defined dialogue text information and defined image information stored in the cloud database, wherein the defined dialogue text information includes the total number of reference bytes of the text information, the number of defined dialogue rounds, and the defined text information keyword redundancy rate, and the defined image information includes the number of defined images, the defined image resolution, and the defined image contrast; According to the dialogue text information in the consultation process, the image information uploaded by each newly added dialogue, the definition dialogue text information and the definition image information, the diagnosis data file establishment judgment value of the pre-consulting person is obtained through analysis and processing; The pre-consultation personnel's guidance data filing judgment value is a numerical result of quantifying the dialogue text information during the consultation process, the image information uploaded for each newly added dialogue, the definition dialogue text information and the definition image information, and is used to characterize the degree of necessity for filing the pre-consultation personnel's TCM guidance data; The threshold for establishing a file for the medical guide data stored in the cloud database is extracted. If the filing judgment value of the medical guide data of the pre-visiting person is less than the threshold for establishing a file for the medical guide data, the filing judgment label of the TCM medical guide data of the pre-visiting person is defined as non-essential filing storage. If the filing judgment value of the medical guide data of the pre-visiting person is greater than or equal to the threshold for establishing a file for the medical guide data, the filing judgment label of the TCM medical guide data of the pre-visiting person is defined as necessary filing storage.

7. The AI-driven intelligent filing and processing system for TCM diagnosis data according to claim 6 is characterized by: The specific process of determining the TCM consultation data archiving and processing mode for the pre-consultation personnel is as follows: Based on the TCM guidance data filing determination label of the pre-visiting personnel, when the TCM guidance data filing determination label of the pre-visiting personnel is necessary for filing and storage, the type of the pre-visiting personnel's consultation condition is extracted, and based on the historical retrieval information of the existing guidance data corresponding to each type of consultation condition stored in the cloud database, the historical retrieval information of the existing guidance data consistent with the consultation condition type of the pre-visiting personnel is extracted through mapping and matching, and recorded as the expected retrieval reference information; The estimated reference information includes the historical number of visitors, historical visit frequency, historical average access interval and historical update frequency of each existing medical guidance data; Based on the expected reference information, the index coefficient of the TCM guidance data archiving and processing mode of the prospective patients is obtained through analysis and processing; The TCM guide data filing processing mode indication coefficient threshold value stored in the cloud database is extracted; if the TCM guide data filing processing mode indication coefficient of the pre-visiting personnel is greater than or equal to the TCM guide data filing processing mode indication coefficient threshold value, the TCM guide data filing processing mode of the pre-visiting personnel is determined as local filing storage; conversely, if the TCM guide data filing processing mode indication coefficient of the pre-visiting personnel is less than the TCM guide data filing processing mode indication coefficient threshold value, the TCM guide data filing processing mode of the pre-visiting personnel is determined as cloud-based filing storage; based on the TCM guide data filing processing mode of the pre-visiting personnel, the TCM guide data of the pre-visiting personnel is stored.

8. The AI-driven intelligent filing and processing system for TCM diagnosis data according to claim 7 is characterized by: The specific analysis process of the index coefficient of the TCM guidance data archiving processing mode of the pre-consulting personnel is as follows: Extracting the reference verification information stored in the cloud database, wherein the reference verification information includes the number of reference history visitors, the reference history visit frequency, the reference history average reference interval duration, and the reference history update frequency; According to the expected reference information and the reference verification information, the index coefficient of the TCM guidance data archiving processing mode of the prospective patients is obtained through comprehensive analysis and processing; The indicator coefficient of the filing processing mode of the TCM guide data of the pre-consulting personnel is a numerical result of quantifying the expected reference information and the reference verification information, and is used as a basis for selecting the filing processing mode of the TCM guide data of the pre-consulting personnel.

9. The AI-driven intelligent filing and processing system for TCM diagnosis data according to claim 6 is characterized by: The specific formula for the judgment value of the pre-visiting personnel's guidance data file creation is as follows: ； Among them, B is the judgment value of the pre-visiting personnel's guidance data file creation, f is the total number of bytes of text information, is the total number of bytes of text information reference, g is the number of conversation rounds, To define the number of dialogue turns, h is the redundancy rate of keywords in text information, is to define the keyword redundancy rate of text information, r is the number of newly uploaded dialogue images, To define the number of images, Upload image resolution for jth newly added conversation, To define image resolution, Upload image contrast for the jth newly added conversation, To define image contrast, is the weight of the total number of bytes of text information, is the conversation turn weight, is the weight of the keyword redundancy rate of text information, is the weight of the number of images, Upload image resolution weights for new dialogs. is the contrast weight of the image uploaded by the newly added dialogue, j is the number of the image uploaded by each newly added dialogue, , e is a natural constant.

10. An AI-driven intelligent file-building and processing device for TCM diagnosis data, characterized in that: include: A processor, and a memory and a network interface connected to the processor: the network interface is connected to a non-volatile memory in the server; When running, the processor retrieves a computer program from the non-volatile memory through the network interface, and runs the computer program through the memory, so as to be applied to the system described in any one of claims 1 to 9 above.

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