Internet Hospital Remote Consultation System

Abstract

The Internet hospital remote consultation system provided by the present invention relates to the field of medical health, including a case analysis module; the case analysis module is used to analyze the medical record information of the patient being consulted, and obtain the effective value of treatment, the approximate difference of the condition, and the medical evaluation index; the effective value of treatment, the approximate difference of the condition, and the medical evaluation index are weighted to obtain the medical record matching value; the medical record information of the patient is arranged in order of the size of the medical record matching value to generate a medical record reference list. The present invention generates a medical record reference list by processing and analyzing the medical record information in multiple dimensions through the case analysis module, which provides accurate references for patients, local doctors, and remote experts, helps to formulate more personalized and effective treatment plans, provides patients, local doctors, and remote experts with rich similar case references, and expands the information basis for medical decision-making.

Description

Technical Field

[0001] The present invention relates to the field of medical health, and particularly to an Internet hospital remote consultation system. Background Art

[0002] With the rapid development of cutting-edge technologies such as Internet technology, 5G, and artificial intelligence, the Internet hospital remote consultation system has emerged, aiming to solve the common problems of insufficient total medical resources and uneven distribution. Through remote medical services, the system can overcome geographical restrictions and sink high-quality medical resources to primary medical institutions, effectively improving the ability and efficiency of primary medical services.

[0003] However, in the existing remote consultation systems, there are still some defects and deficiencies. In particular, when processing and analyzing medical records, the system lacks sufficient depth and breadth, making it difficult to provide remote experts with a quick and comprehensive understanding of the patient's condition, which to a certain extent limits the efficiency and quality of remote medical services. Therefore, it is necessary to provide an Internet hospital remote consultation system to solve the above technical problems. Summary of the Invention

[0004] The present invention provides an Internet hospital remote consultation system, which solves the problems raised in the above background art.

[0005] To solve the above technical problems, the Internet hospital remote consultation system provided by the present invention includes an electronic medical record management module, a video communication module, a reference case analysis module, and an expert reservation platform;

[0006] The electronic medical record management module is used to store and manage the electronic medical record information of patients, and supports the creation, editing, query, and sharing of electronic medical record information;

[0007] The video communication module is used to achieve real-time high-definition video communication among the consulting patients, local doctors, and remote consultation experts, and display the medical record reference list and the patient's medical record information;

[0008] The reference case analysis module is used to conduct reference analysis on the medical record information of the consulting patient to obtain the medical record information of the consulting patient. The medical record information includes symptom types, attack frequencies, durations, and treatment histories. The treatment histories include corresponding information on drug treatment, surgical treatment, and physical therapy;

[0009] Establish a hospital treatable list library, including the treatable symptom types of any hospital;

[0010] Match the symptom types of the consulting patient with the hospital treatable list library, and mark the hospitals with successful matches as data assistance hospitals;

[0011] Obtain the medical record information corresponding to any patient with the corresponding symptom type in any data-assisted hospital, including the patient's age, the stage of the treatment process and the corresponding stage treatment evaluation results, the duration of the stage treatment, and the frequency of the stage disease onset;

[0012] Set the standard value of the parameter in any stage of the treatment process, calculate the difference between the parameter of the patient in the treatment process stage and its standard value to obtain the medical record parameter difference;

[0013] Perform a weighted calculation on the medical record parameter differences of all parameters in any stage of the treatment process to obtain the process treatment value;

[0014] Perform a weighted calculation on the process treatment values of the treatment process stages that have been experienced currently to obtain the treatment effective value;

[0015] Calculate the difference between the treatment effective value of the consultation patient and the treatment effective value of the patients in the treatment process stage with the same experience to obtain the disease condition approximation difference;

[0016] Extract the medical record text corresponding to the symptom type in the historical information of the medical record data, set a medical keyword library, and extract the medical keywords in the medical record text according to the medical keyword library to obtain the medical keyword set corresponding to the medical record, denoted as , where r represents the number of the medical record text and p represents the number of the data-assisted hospital; extract the medical keyword sets of various symptom types corresponding to the medical record from the database, including the medical keyword sets of positive, neutral, and negative types, denoted as , where y1, y2, and y3 respectively represent the numbers of the medical keyword sets corresponding to the positive, neutral, and negative types. According to the formula , obtain the medical evaluation index corresponding to the medical record text ; among them, represents the medical evaluation index of the medical record text numbered r in the data-assisted hospital numbered p, respectively represent the medical keyword sets of positive, neutral, and negative types, and b1, b2, and b3 respectively represent the index influence factors corresponding to the medical keyword matching degrees of positive, neutral, and negative types; perform a weighted process on the treatment effective value, the disease condition approximation difference, and the medical evaluation index to obtain the medical record matching value; arrange the medical record information of the patients in the order of the size of the medical record matching value to generate a medical record reference list;

[0017] The expert appointment platform includes a registration module, an expert evaluation module, a remote consultation appointment module, and a consultation time arrangement module;

[0018] The registration module is used for users to submit medical professional data information for registration and mark the registered successful users as remote experts;

[0019] The expert evaluation module is used to evaluate and analyze the capabilities of the remote experts to obtain the medical value of the remote experts; the medical values ​​of the remote experts are arranged in order of size to generate an expert list;

[0020] The remote consultation appointment module is used to feed back the remote consultation appointment signaling to the remote expert's intelligent terminal to obtain a response, so as to obtain the corresponding remote consultation expert;

[0021] The consultation time scheduling module schedules the remote consultation time of the remote consultation experts and obtains the remote consultation scheduling time.

[0022] Preferably, the video communication module also includes a split-screen unit; the split-screen unit is used to set the video communication interface into multiple divisible display areas, and the display areas are respectively used to display the video communication interface, the medical record reference list and the patient's medical record information; an adjustable divider bar is provided in the split-screen unit, and the size of each display area of ​​the screen can be flexibly adjusted by dragging the adjustable divider bar on the video communication interface.

[0023] As a preferred method, the remote experts are evaluated and analyzed for their capabilities, and the specific steps are as follows:

[0024] Obtain the employment information of remote experts, including years of employment GZ0, total number of remote consultations GZ11, number of remote consultations in the month GZ13, number of daily consultations GZ12, number of successful treatment cases GZ21, and total number of treatment cases GZ22;

[0025] Obtain the professional title of the remote expert, and add the weight coefficient φ corresponding to the professional title;

[0026] The total number of teleconsultations, the number of daily consultations, and the number of teleconsultations in the current month are processed and the formula is used. , and obtain the consultation value GZ1; where a1 represents the weight of the total number of remote consultations in the sum of the total number of remote consultations and the number of daily consultations, and a2 represents the weight of the proportion between the number of remote consultations in the month and the number of days t in the month;

[0027] Set the degree of successful treatment impact corresponding to the symptom type as n, process the number of successful treatment cases, the total number of treatment cases and the degree of successful treatment impact, and use the formula , and obtain the case impact value GZ2; where, represents the successful treatment rate, which is calculated by dividing the number of successful treatment cases by the total number of treatment cases, and k is the influence constant.

[0028] As a preferred method, the remote consultation time of the remote consultation expert is arranged, and the specific steps are as follows:

[0029] Obtain the available time slots of remote consultation experts and the available time slots of patients and local doctors;

[0030] Match the free time of the consulting remote expert with the free time of the patient and the local doctor to obtain the overlapping free time, and identify the idle time of the overlapping free time; set the standard meeting time, if the idle time is longer than the standard meeting time, identify the hourly moments in the overlapping free time, and use the hourly moment closest to the current moment as the starting time of the remote consultation; mark the time after the starting time of the remote consultation within the standard meeting time as the remote consultation time; and feed back the remote consultation time to the patient, the local doctor and the consulting remote expert.

[0031] Preferably, the logic for obtaining the impact of successful treatment is:

[0032] Obtain the number of consultations, successful treatments, and total treatments of remote experts corresponding to the patient's symptom type;

[0033] The number of treatment successes was divided by the total number of treatments to obtain the historical treatment success value;

[0034] The number of consultations corresponding to all symptom types of the patient by the remote expert is processed with the historical treatment success value to obtain the impact of successful treatment.

[0035] As a preferred method, the remote consultation appointment signaling is fed back to the intelligent terminal of the remote expert to obtain a response, specifically:

[0036] When a patient or a local doctor initiates an appointment request, a remote consultation appointment signal is sent to the intelligent terminal of the corresponding remote expert according to the order in the expert list; after receiving the signal, the remote expert will feedback through the intelligent terminal whether he agrees to the remote consultation; if the remote expert chooses to agree, the remote expert will be marked as a consulting remote expert, and the patient and local doctor will be notified and the remote expert's free time will be fed back; if the remote expert refuses or does not respond within the set time, appointment signals will be sent to the remote experts in the expert list in order of medical value until a consulting remote expert is generated.

[0037] Preferably, the expert appointment platform further includes a reminder unit;

[0038] Obtain the start time of the patient's remote consultation, calculate the time difference between the current time and the start time of the remote consultation to obtain the consultation distance time; set an advance reminder threshold, compare the consultation distance time with the advance reminder threshold, and generate a consultation reminder signal if the consultation distance time is less than the advance reminder threshold; the consultation reminder signal is used to trigger the reminder mechanism.

[0039] Compared with related technologies, the Internet hospital remote consultation system provided by the present invention has the following beneficial effects:

[0040] The present invention generates a medical record reference list by drawing on the multi-dimensional medical record information processing and analysis of the case analysis module, thereby providing accurate references for patients, local doctors and remote experts, and helping to formulate more personalized and effective treatment plans. It provides patients, local doctors and remote experts with a wealth of similar case references, expanding the information basis for medical decision-making. For patients, they can have a clearer understanding of the possible development of their own illness and treatment direction, reduce anxiety and uncertainty, and enhance their confidence and cooperation in treatment. For local doctors and remote experts, similar cases can provide more treatment ideas and experience references, which helps to improve the accuracy of diagnosis and the rationality of treatment plans, and improve the efficiency and quality of consultations, so that the entire medical team can make more accurate and effective treatment decisions.

[0041] The present invention is provided with an expert evaluation module, which considers multiple factors, conducts a comprehensive and accurate ability evaluation of experts, generates a scientific and reasonable expert list, and improves the probability of patients making an appointment with a suitable expert. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a functional block diagram of the Internet hospital remote consultation system provided by the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] The terms used in this disclosure are for the purpose of describing specific embodiments only and are not intended to limit the disclosure. The singular forms of "it", "group" and "the" used in this disclosure and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0045] It should be understood that although the terms first, second, third, etc. may be used in the present disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0046] Please refer toFigure 1 The Internet hospital remote consultation system includes an electronic medical record management module, a video communication module, a case analysis module, and an expert appointment platform;

[0047] Electronic medical record management module, used to store and manage patients' electronic medical record information, and supports the creation, editing, query and sharing of electronic medical record information;

[0048] Video communication module, used to realize real-time high-definition video communication between consulting patients, local doctors and consulting remote experts, and display medical record reference list and patient medical record information;

[0049] The reference case analysis module is used to conduct reference analysis on the medical record information of the consultation patient. The specific steps are as follows:

[0050] Obtain the medical records of the patients, including symptom type, frequency, duration and treatment history. The treatment history includes the corresponding information of drug treatment, surgical treatment and physical therapy;

[0051] Establish a hospital treatable list database, including the types of symptoms that can be treated in any hospital;

[0052] Match the symptom type of the patient with the hospital's treatable list, and mark the successfully matched hospital as a data-assisted hospital;

[0053] Obtain the medical record information corresponding to the symptom type of the consultation patient in any data auxiliary hospital, including the patient's age, treatment process stage and its corresponding stage treatment evaluation results, stage treatment duration, and stage symptom frequency;

[0054] Set the standard value of the parameter of the disease type in any stage of the treatment process, calculate the difference between the patient's parameter in the treatment process stage and the standard value, and obtain the medical record parameter difference B;

[0055] The difference of medical record parameters of all parameters in any stage of treatment process is weighted and calculated using the formula , and obtain the process treatment value BC; where u represents the number of the parameter in the treatment process stage, U represents the total number of parameters u in the treatment process stage, Bu and uζ represent the medical record parameter difference of parameter u in the treatment process stage and its corresponding weight respectively;

[0056] The process treatment value of the current treatment process stage is weighted and calculated using the formula , and obtain the effective value of treatment BZ; where z represents the number of the treatment process stage, Z represents the total number of treatment process stages, zBC and zδ represent the process treatment value corresponding to the treatment process stage z and its corresponding weight factor respectively;

[0057] The difference between the effective value of the treatment of the patient and the effective value of the treatment of the patient with the same experience in the treatment process stage is calculated to obtain the approximate difference JS of the condition;

[0058] Extract the medical record text corresponding to the symptom type in the historical information of the medical record data, set a medical keyword library, extract the medical keywords in the medical record text according to the medical keyword library, and obtain the medical keyword set corresponding to the medical record, recorded as , r represents the number of the medical record text, p represents the number of the data auxiliary hospital; extract the medical keyword sets of various symptom types corresponding to the medical records from the database, including the medical keyword sets of commendatory, neutral and derogatory types, recorded as , y1, y2, y3 represent the numbers of the medical keyword sets corresponding to the commendatory, neutral and derogatory types respectively. According to the formula , get the medical evaluation index corresponding to the medical record text ;in, It is represented by the medical evaluation index of the medical record text of number r in the data auxiliary hospital number p, represents the medical keyword sets of commendatory, neutral and derogatory types, respectively; b1, b2 and b3 represent the index impact factors corresponding to the matching degree of commendatory, neutral and derogatory medical keywords respectively;

[0059] The effective value of treatment, the approximate difference of the condition and the medical evaluation index are weighted and the formula is used to calculate the effective value of treatment, the approximate difference of the condition and the medical evaluation index. , and obtain the medical record matching value P; where s1, s2, and s3 represent the weights corresponding to the treatment effective value, the approximate difference in condition, and the medical evaluation index, respectively; the medical record information of the patient is arranged in the order of the size of the medical record matching value to generate a medical record reference list;

[0060] Expert appointment platform, including registration module, expert evaluation module, remote consultation appointment module and consultation time scheduling module;

[0061] The registration module is used for users to submit medical professional information for registration, and the successfully registered users are marked as remote experts; the medical professional information includes personal identity certificate, academic certificate, professional qualification certificate, work experience, and professional title;

[0062] The expert evaluation module is used to evaluate and analyze the capabilities of remote experts. The specific steps are as follows:

[0063] Obtain the employment information of remote experts, including years of employment GZ0, total number of remote consultations GZ11, number of remote consultations in the month GZ13, number of daily consultations GZ12, number of successful treatment cases GZ21, and total number of treatment cases GZ22;

[0064] Obtain the professional title of the remote expert, and add the weight coefficient φ corresponding to the professional title;

[0065] The total number of teleconsultations, the number of daily consultations, and the number of teleconsultations in the current month are processed and the formula is used. , and obtain the consultation value GZ1; where a1 represents the weight of the total number of remote consultations in the sum of the total number of remote consultations and the number of daily consultations, and a2 represents the weight of the proportion between the number of remote consultations in the month and the number of days t in the month;

[0066] Set the degree of successful treatment impact corresponding to the symptom type as n, process the number of successful treatment cases, the total number of treatment cases and the degree of successful treatment impact, and use the formula , and obtain the case impact value GZ2; where, represents the successful treatment rate, which is calculated by dividing the number of successful treatment cases by the total number of treatment cases, and k is the influence constant;

[0067] The weight coefficient, diagnosis value, case impact value and years of experience corresponding to the professional title are processed and the formula is used to calculate the , and obtain the medical value GZ; where g0, g1, and g2 represent the weights corresponding to the years of practice, the number of consultations, and the case impact value, respectively;

[0068] Arrange the medical values ​​of remote experts in order of size to generate an expert list;

[0069] The remote consultation appointment module is used to feed back the remote consultation appointment signaling to the remote expert's intelligent terminal to obtain a response, specifically:

[0070] When a patient or a local doctor initiates an appointment request, a remote consultation appointment signaling is sent to the smart terminal of the corresponding remote expert according to the order in the expert list; after receiving the signaling, the remote expert will feedback through the smart terminal whether he agrees to the remote consultation; if the remote expert chooses to agree, the remote expert will be marked as a consulting remote expert, and the patient and local doctor will be notified and the remote expert's free time will be fed back; if the remote expert refuses or does not respond within the set time, the appointment signaling is sent to the remote experts in the expert list in order of medical value until a consulting remote expert is generated;

[0071] The consultation time scheduling module schedules the remote consultation time of the remote consultation experts and obtains the remote consultation scheduling time.

[0072] In the present application, the video communication module also includes a split-screen unit; the split-screen unit is used to set the video communication interface into multiple divisible display areas, and the display areas are used to display the video communication interface, the medical record reference list and the patient's medical record information respectively; an adjustable divider is provided in the split-screen unit, and the adjustable divider is used to adjust the size of each area by dragging the adjustable divider on the video communication interface.

[0073] It should be noted that the split-screen unit design of the video communication module of the present invention not only improves the working efficiency of remote consultation, but also meets the usage requirements of different users in different scenarios by providing flexible interface layout options, thereby enhancing the applicability of the system and user satisfaction.

[0074] In this application, the remote consultation time of the remote consultation expert is arranged, and the specific steps are as follows:

[0075] Obtain the available time slots of remote consultation experts and the available time slots of patients and local doctors;

[0076] Match the free time of the consulting remote expert with the free time of the patient and the local doctor to obtain the overlapping free time, and identify the idle time of the overlapping free time; set the standard meeting time, if the idle time is longer than the standard meeting time, identify the hourly moments in the overlapping free time, and use the hourly moment closest to the current moment as the starting time of the remote consultation; mark the time after the starting time of the remote consultation within the standard meeting time as the remote consultation time; and feed back the remote consultation time to the patient, the local doctor and the consulting remote expert.

[0077] It should be noted that the remote consultation scheduling module of the present invention not only improves the organizational efficiency of remote consultation through intelligent time matching and automated process design, but also enhances the coordination of consultation and the satisfaction of all parties involved by ensuring that all parties can participate in the scheduling process.

[0078] In this application, the logic for obtaining the successful treatment impact degree n is:

[0079] Obtain the number of consultations GC1, number of successful treatments, and total number of treatments by remote experts for the patient's symptom type;

[0080] The historical treatment success value GC2 is obtained by dividing the number of treatment successes by the total number of treatments;

[0081] The number of consultations corresponding to all symptom types of the patient by remote experts and the historical treatment success values ​​are processed, and the formula is used , and obtain the degree of influence of successful treatment n; where i represents the number of the symptom type corresponding to the patient, N represents the total number of symptom types suffered by the patient and is greater than zero, iGC1 and ix1 represent the number of consultations corresponding to symptom type i and the corresponding weight, respectively, and iGC2 and ix2 represent the historical treatment success value and the corresponding weight corresponding to symptom type i, respectively.

[0082] It should be noted that the logic for obtaining the degree of impact of successful treatment n in the present invention not only provides a method for objectively evaluating the effectiveness of remote expert treatment, but also takes into account the characteristics and importance of different symptom types through weighted calculation, making the evaluation results more comprehensive and accurate. In addition, the application of this logic helps to improve the overall service quality and patient satisfaction of the remote consultation system.

[0083] In this application, the expert appointment platform also includes a reminder unit;

[0084] Obtain the start time of the patient's remote consultation, calculate the time difference between the current time and the start time of the remote consultation to obtain the consultation distance time; set an advance reminder threshold, compare the consultation distance time with the advance reminder threshold, and generate a consultation reminder signal if the consultation distance time is less than the advance reminder threshold; the consultation reminder signal is used to trigger the reminder mechanism.

[0085] It should be noted that the consultation reminder signal triggers the reminder mechanism to ensure that patients, local doctors and remote experts can all be reminded before the consultation begins. Reminders can be sent in a variety of ways, including but not limited to SMS, email, in-app notifications or phone calls. This multi-channel notification mechanism ensures that information can be conveyed to consulting patients, local doctors and consulting remote experts in a timely and accurate manner; among them, users can choose the method and time to receive reminders according to their preferences and needs. For example, patients may want to receive reminders via SMS and email 30 minutes before the consultation, while doctors may want to receive reminders via in-app notifications 15 minutes before the consultation; the automated design of the reminder unit reduces manual intervention, improves the accuracy and timeliness of reminders, thereby improving the overall efficiency of remote consultations, and increasing the participation of patients and doctors, reducing the number of missed consultations due to forgetting the consultation time, thereby improving overall satisfaction with medical services.

[0086] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed in this disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.

[0087] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. The Internet hospital remote consultation system is characterized by: It includes electronic medical record management module, video communication module, case analysis module and expert appointment platform; Electronic medical record management module, used to store and manage patients' electronic medical record information, and supports the creation, editing, query and sharing of electronic medical record information; Video communication module, used to realize real-time high-definition video communication between consulting patients, local doctors and consulting remote experts, and display medical record reference list and patient medical record information; The reference case analysis module is used to conduct reference analysis on the medical record information of the consulted patients to obtain the effective value of treatment, the approximate difference of the condition and the medical evaluation index; the effective value of treatment, the approximate difference of the condition and the medical evaluation index are weighted to obtain the medical record matching value; the medical record information of the patients is arranged in the order of the size of the medical record matching value to generate a medical record reference list; Expert appointment platform, including registration module, expert evaluation module, remote consultation appointment module and consultation time scheduling module; The registration module is used for users to submit medical professional information for registration, and the successfully registered users are marked as remote experts; The expert evaluation module is used to evaluate and analyze the capabilities of remote experts. The specific steps are as follows: Obtain the employment information of remote experts, including years of employment GZ0, total number of remote consultations GZ11, number of remote consultations in the month GZ13, number of daily consultations GZ12, number of successful treatment cases GZ21, and total number of treatment cases GZ22; Obtain the professional title of the remote expert, and add the weight coefficient φ corresponding to the professional title; The total number of teleconsultations, the number of daily consultations, and the number of teleconsultations in the current month are processed and the formula is used. , and obtain the consultation value GZ1; where a1 represents the weight of the total number of remote consultations in the sum of the total number of remote consultations and the number of daily consultations, and a2 represents the weight of the proportion between the number of remote consultations in the month and the number of days t in the month; The number of successful treatment cases and the total number of treatment cases are processed and the formula is used , and obtain the case impact value GZ2; where, represents the successful treatment rate, which is calculated by dividing the number of successful treatment cases by the total number of treatment cases, k is the influence constant, and n is the degree of influence of successful treatment; the medical values ​​of remote experts are arranged in order of size to generate an expert list; The remote consultation appointment module is used to feed back the remote consultation appointment signaling to the remote expert's intelligent terminal to obtain a response, so as to obtain the corresponding remote consultation expert; The consultation time scheduling module schedules the remote consultation time of the remote consultation experts and obtains the remote consultation scheduling time.

2. The Internet hospital remote consultation system according to claim 1 is characterized in that: The video communication module also includes a split-screen unit; the split-screen unit is used to set the video communication interface into multiple divisible display areas, and the display areas are used to display the video communication interface, the medical record reference list and the patient's medical record information respectively; an adjustable separator bar is provided in the split-screen unit, and the adjustable separator bar is used to adjust the size of each area by dragging the adjustable separator bar on the video communication interface.

3. The Internet hospital remote consultation system according to claim 1 is characterized in that: The medical records of the patients under consultation are analyzed for reference. The specific steps are as follows: Obtain the medical records of the patients being consulted, including symptom type, frequency, duration and treatment history. The data history includes corresponding information on medication, surgical data and physical data; Establish a hospital treatable list database, including the types of symptoms that can be treated in any hospital; Match the symptom type of the patient with the hospital's treatable list, and mark the successfully matched hospital as a data-assisted hospital; Obtain the medical record information corresponding to the symptom type of the consultation patient in any data auxiliary hospital, including the patient's age, treatment process stage and its corresponding stage treatment evaluation results, stage treatment duration, and stage symptom frequency; Set the standard value of the parameter of the disease type in any stage of the treatment process, calculate the difference between the patient's parameter in the treatment process stage and the standard value, and obtain the difference of the medical record parameter; The difference of medical record parameters of all parameters in any treatment process stage is weighted to obtain the process treatment value; The process treatment value of the current treatment process stage is weighted and calculated to obtain the effective treatment value; The difference between the effective value of the treatment of the patient under consultation and the effective value of the treatment of the patient with the same experience in the treatment process stage is calculated to obtain the approximate difference in the condition; Extract the medical record text corresponding to the symptom type in the historical information of the medical record data, set a medical keyword library, extract the medical keywords in the medical record text according to the medical keyword library, and obtain the medical keyword set corresponding to the medical record, recorded as , r represents the number of the medical record text, p represents the number of the data auxiliary hospital; extract the medical keyword sets of various symptom types corresponding to the medical records from the database, including the medical keyword sets of commendatory, neutral and derogatory types, recorded as , y is 1, 2 or 3, y1, y2, y3 represent the numbers of the positive, neutral and negative types respectively, according to the formula , get the medical evaluation index corresponding to the medical record text ;in, It is represented as the medical evaluation index of the rth medical record text in the pth data-assisted hospital, They represent the sets of medical keywords of commendatory, neutral and derogatory types respectively, and b1, b2 and b3 represent the index impact factors corresponding to the matching degrees of medical keywords of commendatory, neutral and derogatory types respectively.

4. The Internet hospital remote consultation system according to claim 1 is characterized in that: Arrange the remote consultation time for the remote consultation expert. The specific steps are as follows: Obtain the available time slots of remote consultation experts and the available time slots of patients and local doctors; Matching the free time of the remote expert in consultation with the free time of the patient and the local doctor to obtain the overlapping free time, and identifying the free time of the overlapping free time; Set the standard meeting time. If the idle time is longer than the standard meeting time, identify the hourly times in the overlapping idle time period and use the hourly time closest to the current time as the start time of the remote consultation; mark the time after the start time of the remote consultation within the standard meeting time as the remote consultation time; Feedback on remote consultation times is provided to patients, local physicians, and consulting remote specialists.

5. The Internet hospital remote consultation system according to claim 1 is characterized in that: in, The logic for obtaining the impact of successful treatment is: Obtain the number of consultations, successful treatments, and total treatments of remote experts corresponding to the patient's symptom type; The number of treatment successes was divided by the total number of treatments to obtain the historical treatment success value; The number of consultations corresponding to all symptom types of the patient by the remote expert is processed with the historical treatment success value to obtain the impact of successful treatment.

6. The Internet hospital remote consultation system according to claim 1 is characterized in that: Feedback the remote consultation appointment signaling to the remote expert's intelligent terminal to obtain a response, specifically: When a patient or local doctor initiates an appointment request, a remote consultation appointment signaling is sent to the corresponding remote expert's smart terminal according to the order in the expert list; after receiving the signaling, the remote expert will feedback whether he agrees to the remote consultation through the smart terminal; If the remote expert chooses to agree, the remote expert will be marked as a consulting remote expert, and the patient and local doctor will be notified and the remote expert's free time will be fed back; If the remote expert refuses or does not respond within the set time, an appointment signal is sent to the remote experts in the expert list in order of medical value until a consultation remote expert is generated.

7. The Internet hospital remote consultation system according to claim 1 is characterized in that: The expert booking platform also includes a reminder unit; Obtain the patient's remote consultation start time, calculate the time difference between the current time and the remote consultation start time to obtain the consultation distance time; Set an advance reminder threshold, compare the consultation distance time with the advance reminder threshold, and generate a consultation reminder signal if the consultation distance time is less than the advance reminder threshold; The consultation reminder signaling is used to trigger the reminder mechanism.

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