Screening method, device and storage medium for diagnosis and treatment information of Internet hospital

Abstract

This application provides a screening method, device and storage medium for diagnosis and treatment information of an Internet hospital. In this application, based on the Internet hospital construction requirements in relevant documents, a full-process supervision of diagnosis and treatment in Internet hospitals before, during and after diagnosis is established, covering multiple roles (physicians, pharmacists, patients) and multiple dimensions of multiple behaviors (diagnosis and treatment, medication, etc.), realizing intelligent supervision of diagnosis and treatment quality and physician behavior throughout the process, which can effectively improve the quality of medical services. At the same time, it can complete the timely reporting of suspected case information of special diseases to assist in the comprehensive screening of special diseases and regional collaborative management.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and more specifically, to a screening method, device and storage medium for diagnosis and treatment information of an Internet hospital. Background Art

[0002] Patients have online follow-up consultations in Internet hospitals. During the follow-up consultation, doctors use the doctor terminal to access the patient's historical diagnosis and treatment information and make a comprehensive judgment in order to have an accurate understanding of the patient's condition. Due to the existence of a large amount of diagnosis and treatment data, and the data is generally quite numerous, when doctors diagnose and treat patients, they may not be able to fully analyze the various diseases suffered by the patients, or due to the omission of certain data, they may not discover a certain condition of the patient in time. Summary of the invention

[0003] The purpose of the embodiments of the present application is to provide a method, device and storage medium for screening medical information of an Internet hospital, by screening the medical information of online follow-up patients of the Internet hospital under set conditions and giving corresponding reminders to doctors through doctor terminals, thereby greatly improving the problems existing in the prior art.

[0004] In a first aspect, an embodiment of the present application provides a method for screening medical information of an Internet hospital, comprising: receiving a request for a follow-up appointment from a patient in an Internet hospital; determining whether the patient meets the qualifications for a follow-up appointment in the Internet hospital based on the follow-up appointment request; after determining that the patient meets the qualifications for the follow-up appointment, obtaining the medical information of the patient, and matching the medical information with at least one keyword list in a symptom rule library; wherein each keyword list includes symptom keywords for a specific disease; if the medical information hits at least one symptom keyword in a first target keyword list in the at least one keyword list, sending a marking reminder to a doctor terminal, the marking reminder including the name of the disease corresponding to the hit first target keyword list, so as to remind the doctor to verify whether the patient suffers from the disease corresponding to the hit first target keyword list, and marking after verification.

[0005] The above technical solution can accurately screen the diagnosis and treatment information of online follow-up patients in Internet hospitals, and find out the diseases that patients may have by matching the diagnosis and treatment information with the keyword list, and then remind the doctor through the doctor terminal to pay attention to and verify the diagnosis and treatment information, so as to avoid the doctor from missing the key information and play a reminder role. At the same time, the names of the related diseases that the patient may have are sent together with the marked reminder, so that the doctor can verify the patient's disease more specifically after receiving the marked reminder, thereby helping the doctor to diagnose the patient's disease more comprehensively.

[0006] In an optional embodiment, after sending a mark reminder to the doctor terminal, the method also includes: receiving a suspected case mark added by the doctor to the patient through the doctor terminal after verifying whether the patient suffers from the disease corresponding to the first target keyword list that hits; if the added suspected case mark is the first mark, uploading the case information of the patient to the national health information platform.

[0007] After receiving the suspected case mark uploaded by the doctor's terminal, it is determined whether the suspected case mark belongs to the first mark. The first mark is used to characterize the conclusion that the patient does suffer from the corresponding disease. If it belongs to the first mark, the case information of the patient is uploaded to the national health information platform so that the platform personnel can carry out follow-up work.

[0008] In an optional embodiment, after matching the diagnosis and treatment information with at least one keyword list in the symptom rule library, the method further includes: if the diagnosis and treatment information hits at least one symptom keyword in the second target keyword list in the at least one keyword list, determining whether the disease corresponding to the hit second target keyword list includes the disease corresponding to the main diagnosis in the diagnosis and treatment information; when the disease corresponding to the main diagnosis in the diagnosis and treatment information is not included, sending a symptom reminder to the doctor terminal to remind the doctor to verify whether the patient is suffering from the disease corresponding to the hit second target keyword list.

[0009] The symptom rule library includes a second target keyword list, which may be a keyword list corresponding to common diseases and chronic diseases in the Internet hospital's diagnosis and treatment catalog. When the disease corresponding to the hit second target keyword list is inconsistent with the original primary diagnosis of the patient, it indicates that the symptoms of the patient may have changed, and a symptom reminder is generated to remind the doctor.

[0010] In an optional embodiment, the method also includes: obtaining the consultation content between the patient and the doctor during the current consultation transmitted by the doctor's terminal; matching the consultation content with sensitive words in a preset list of sensitive words for medical terms; if the consultation content hits any sensitive word in the list of sensitive words for medical terms, sending a standardized terminology reminder to the doctor's terminal; the standardized terminology reminder is used to remind the doctor to standardize the medical terms used during the consultation.

[0011] A list of sensitive words used in medical treatment is established in advance. When sensitive words appear in the consultation process between patients or doctors, a reminder of standardized terms is generated to remind doctors to standardize the medical treatment terms used during the consultation process and to standardize the words and deeds of doctors during consultation.

[0012] In an optional embodiment, obtaining the consultation content between the patient and the doctor during the current consultation transmitted by the doctor terminal includes: receiving the consultation content transmitted by the doctor terminal, wherein the consultation content is obtained by summarizing the text content between the patient and the doctor during the current text consultation by the doctor terminal; or, receiving the voice content between the patient and the doctor during the current voice consultation transmitted by the doctor terminal, converting the voice content into text content, and summarizing the text content to obtain the consultation content.

[0013] In an optional embodiment, the method further includes: counting the number of times the marking reminder is sent to the doctor terminal within a preset period and the number of times the doctor terminal does not add a suspected case mark after receiving the marking reminder; calculating the ratio of the number of times the suspected case mark is not added to the number of times the marking reminder is sent to obtain a marking missing rate; when the marking missing rate exceeds a preset normal value range, sending an early warning reminder to the doctor terminal.

[0014] In the above scheme, the missing mark rate is used as a measurement indicator. When the missing mark rate exceeds the preset normal value range, an early warning reminder is sent to the doctor's terminal, thereby prompting the doctor to actively and promptly add corresponding suspected case marks after completing the diagnosis and treatment.

[0015] In an optional embodiment, the obtaining of the patient's medical information and matching of the medical information with at least one keyword list in the symptom rule library includes: before obtaining the consultation content between the patient and the doctor during the current visit transmitted from the doctor's terminal, obtaining the patient's historical medical information and matching the historical medical information with at least one keyword list in the symptom rule library.

[0016] In an optional embodiment, the method of obtaining the diagnosis and treatment information of the patient and matching the diagnosis and treatment information with at least one keyword list in the symptom rule library includes: after obtaining the consultation content between the patient and the doctor during the current consultation process transmitted by the doctor's terminal, matching the consultation content with at least one keyword list in the symptom rule library.

[0017] In a second aspect, an embodiment of the present application provides a device for screening medical information of an Internet hospital, comprising: a follow-up appointment module for receiving a follow-up appointment request from a patient in an Internet hospital; a follow-up qualification determination module for determining whether the patient meets the qualifications for a follow-up appointment in an Internet hospital based on the follow-up appointment request; an information acquisition module for acquiring the patient's medical information after determining that the patient meets the qualifications for a follow-up appointment, and matching the medical information with at least one keyword list in a symptom rule library; wherein each keyword list includes symptom keywords for a specific disease; an information screening module for sending a marking reminder to a doctor terminal when the medical information hits at least one symptom keyword in a first target keyword list in the at least one keyword list, the marking reminder containing the name of the disease corresponding to the hit first target keyword list, so as to remind the doctor to verify whether the patient suffers from the disease corresponding to the hit first target keyword list, and to mark the disease after verification.

[0018] In an optional embodiment, the device also includes: a mark receiving module, which is used to receive a suspected case mark added to the patient by the doctor through the doctor terminal after verifying whether the patient suffers from the disease corresponding to the first target keyword list that hits the first target keyword list; a mark determination module, which is used to upload the case information of the patient to the national health information platform when the added suspected case mark is the first mark.

[0019] In an optional embodiment, the device also includes: a consultation content acquisition module, which is used to obtain the consultation content between the patient and the doctor during the current consultation process transmitted by the doctor terminal; a sensitive word matching module, which is used to match the consultation content with sensitive words in a preset list of sensitive words for medical terms; a terminology reminder module, which is used to send a standardized terminology reminder to the doctor terminal when the consultation content hits any sensitive word in the list of sensitive words for medical terms; the standardized terminology reminder is used to remind the doctor to standardize the medical terms used during the consultation process.

[0020] In a third aspect, an embodiment of the present application provides a storage medium, wherein the storage medium stores computer instructions. When the computer instructions are executed by a computer, the computer executes a method as described in the first aspect or any optional implementation method of the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 A flowchart of a method for screening diagnosis and treatment information of an Internet hospital provided in an embodiment of the present application;

[0023] Figure 2 Another flow chart of the method for screening diagnosis and treatment information of an Internet hospital provided in an embodiment of the present application;

[0024] Figure 3 Another flow chart of the method for screening diagnosis and treatment information of an Internet hospital provided in an embodiment of the present application;

[0025] Figure 4 Another flow chart of the method for screening diagnosis and treatment information of an Internet hospital provided in an embodiment of the present application;

[0026] Figure 5 A schematic diagram of a device for screening diagnosis and treatment information of an Internet hospital provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0028] In April 2018, the General Office of the State Council included "Internet Hospital" in a formal policy document for the first time. The document pointed out that the diagnosis and treatment scope of Internet hospitals only includes follow-up visits for some common diseases and chronic diseases. After that, Internet hospitals entered a period of rapid construction. In order to further implement the relevant requirements in the document, the National Health Commission and the State Administration of Traditional Chinese Medicine have put forward clear requirements for the construction of Internet hospitals, which stipulate that there are two forms of Internet hospitals, one is the Internet hospital of a physical medical institution; the other is an Internet hospital independently established based on a physical medical institution. Before carrying out the solution provided in the embodiment of this application, the preliminary deployment of the Internet hospital shall be carried out first.

[0029] First, the Internet hospital qualification acquisition. A physical medical institution that has obtained a "Medical Institution Practice License" shall apply to the issuing authority to add an Internet hospital as a second name, submit relevant materials, and obtain the Internet hospital qualification after review.

[0030] Second, the establishment of a diagnosis and treatment catalogue. According to the requirements of the above-mentioned documents, the municipal / district health administrative departments and the physical medical institutions affiliated with the Internet hospital jointly establish an "Internet hospital diagnosis and treatment catalogue" to limit the diagnosis and treatment service scope of the Internet hospital.

[0031] Third, the establishment of a gray list of drugs. Based on the above requirements, the city / district health administrative departments and the physical medical institutions affiliated with the Internet hospital jointly establish a "gray list of Internet hospital diagnosis and treatment drugs" to limit the scope of diagnosis and treatment drugs of the Internet hospital. In accordance with the requirements of the above documents, prescriptions for narcotic drugs, psychotropic drugs and other drugs with high medication risks and other special management regulations shall not be issued in Internet hospitals. After the establishment of the gray list of drugs, the list can be used as the basis for prescription review. If there are drugs on the list, the prescription review will not pass.

[0032] Fourth, the recognition of the right to practice. In accordance with the requirements of the above-mentioned documents, the management personnel of physical medical institutions shall retrieve the "Medical Personnel Information Database", select physicians / pharmacists who have obtained the corresponding professional qualifications in accordance with the law, registered in the physical medical institutions or other medical institutions they rely on, and have more than many years of independent clinical work experience, and mark their "Internet hospital practice authority" as "yes" to form an "Internet hospital medical personnel information database". In the process of providing diagnosis and treatment services in Internet hospitals, it is necessary to pay attention to keeping the scope of practice of physicians in Internet hospitals consistent with that in physical hospitals, and the scope of online diagnosis and treatment services of Internet hospitals cannot exceed the offline diagnosis and treatment service scope of the physical medical institutions on which they rely.

[0033] Fifth, registration of physicians / pharmacists. A mature Internet hospital information system is built, which sends registration reminders to relevant physicians / pharmacists. Physicians / pharmacists log in to the system to apply for registration, and need to submit relevant information such as name, work number, password, and complete electronic verification in the form of face / iris.

[0034] The fourth and fifth items above establish the pre-diagnosis supervision process for Internet hospital diagnosis and treatment.

[0035] Sixth, in the process of building a mature Internet hospital information system, the following functions can be deployed in the system: (1) Electronic prescription issuance: Physicians can complete the issuance of electronic prescriptions online and sign electronically; (2) Electronic medical record writing: Physicians can establish electronic medical records for patients according to relevant document requirements and manage them in accordance with regulations; (3) Pharmacist prescription review platform: Pharmacists can complete prescription review online and issue specific review opinions; (4) Prescription circulation platform: After the physician issues the prescription and the pharmacist approves the prescription, the patient can complete the online prescription payment and rely on the prescription circulation platform to complete the offline collection. medicine or drug delivery; in addition, it may also include: (5) the online consultation voice to text conversion mentioned below in this embodiment: in the online diagnosis and treatment process, voice recognition and text conversion processing functions are added to realize automatic recognition and text conversion of the language of both doctors and patients, which is conducive to the supervision of the doctor's language during the consultation process; (6) the follow-up qualification judgment mentioned below in this embodiment is conducive to the accurate judgment of patients who have made appointments for online follow-up consultations at Internet hospitals; (7) docking with the national health information platform: docking with the national health information platform to realize the mutual communication and sharing of relevant information of suspected patients with special diseases.

[0036] The embodiment of the present application provides a method for screening diagnosis and treatment information of an Internet hospital, focusing on screening the diagnosis and treatment information of online follow-up patients of an Internet hospital, and giving corresponding reminders to the doctors who are following the consultation. For example, for patients who meet a certain condition, a marking reminder is sent to the doctor's terminal to remind the doctor to pay more attention to the diagnosis and treatment information of such patients, so as to avoid missing some key information of the patients and prevent delaying the condition.

[0037] The screening method provided in this application is applied to the Internet hospital data center to provide assistance to doctors in the Internet hospital during follow-up visits. Figure 1 FIG. 1 shows a flow chart of the screening method, which is performed by the Internet Hospital Data Center. Figure 1 As shown, the method includes:

[0038] Step 110: Receive a follow-up appointment request from the patient at the Internet hospital.

[0039] Step 120: Determine whether the patient meets the qualifications for a follow-up visit in the Internet hospital based on the follow-up appointment request; after determining that the patient meets the qualifications for a follow-up visit, execute step 130.

[0040] Unlike offline physical hospitals, for patients who seek follow-up visits in Internet hospitals, their eligibility for follow-up visits must first be determined. That is, after receiving the follow-up appointment request from the patient, it is first verified whether the patient meets the eligibility requirements for follow-up visits in the Internet hospital. Only if the follow-up qualifications are met can the patient be allowed to have a follow-up visit in this Internet hospital, and only then can the subsequent steps 130-140 be executed, and only then can the monitoring of the doctor's marking behavior and the monitoring of the standardization of the doctor's medical terms during the consultation process described later be initiated.

[0041] It should be noted that step 130 can be executed immediately after step 120, or an online follow-up consultation at the Internet hospital can be conducted after step 120, and step 130 can be executed after the online follow-up consultation is completed.

[0042] Step 130: Obtain the diagnosis and treatment information of the patient, and match the diagnosis and treatment information with at least one keyword list in the symptom rule library.

[0043] Step 140: If the diagnosis and treatment information hits at least one symptom keyword in the first target keyword list in at least one keyword list, a marking reminder is sent to the doctor terminal.

[0044] Among them, in one embodiment of the above step 120, the patient initiates a follow-up appointment request through the user terminal in accordance with the relevant regulations of the Internet hospital diagnosis and treatment appointment (such as 1 day in advance) before the follow-up visit. The Internet hospital data center receives the follow-up appointment request and reminds the patient that "the Internet hospital only accepts patients with common diseases and chronic diseases for follow-up visits. Please submit the name of the main diagnosis for outpatient or first visit". After the patient completes the submission of the main diagnosis through the user terminal, the Internet hospital data center automatically retrieves the "Internet hospital diagnosis and treatment catalog" to determine whether the main diagnosis submitted by the patient (including the disease diagnosis code, and the determination is completed based on this disease diagnosis code) is within the scope of the "Internet hospital diagnosis and treatment catalog". If it is, it is determined that the patient meets the qualifications for online follow-up visits in the Internet hospital. If not, it is determined that the patient does not meet the qualifications for online follow-up visits in the Internet hospital, and a reminder is sent to the patient's user terminal that "your main diagnosis information does not meet the requirements of the Internet hospital diagnosis and treatment catalog. Please go to an offline physical medical institution for treatment." If the patient meets the qualifications for follow-up visits, he or she can choose the time range for the follow-up visit. The Internet Hospital Data Center will automatically retrieve the "Physician Practice Scope List" and "Physician Scheduling Information Table" according to the patient's choice to match and screen out suitable doctors. Alternatively, the Internet Hospital Data Center can directly assign the follow-up visit time and follow-up doctor to the patient based on the free time period.

[0045] In addition to the above embodiments, in other embodiments of the above step 120, first, when a patient visits an offline physical hospital, the outpatient doctor can review the patient's historical medical records and issue relevant medical advice to the patient based on the patient's current condition. If the patient has a chronic disease or a common disease, and the patient's disease diagnosis code is within the scope of diagnosis and treatment of the Internet hospital of the hospital, the doctor can add an online follow-up mark for the patient on the doctor's terminal. The online follow-up mark corresponds to the department where the patient visited this time, that is, the patient is allowed to have an online follow-up in the same department of the Internet hospital. After the current visit is completed, the doctor's terminal sends the patient's current medical information and the added online follow-up mark to the physical hospital data center. The physical hospital data center regularly (such as every night) synchronizes the medical information of patients who have been treated offline on the same day and have been marked with an online follow-up to the Internet hospital data center, thereby forming a list of potential patients who can be followed up in the Internet hospital data center.

[0046] Based on this embodiment, in step 120, the follow-up appointment request includes the department of the appointment. The Internet hospital data center receives the follow-up appointment request sent by the user terminal of the patient, and determines whether there is outpatient data of the patient in the department in the list of potential patients who can be followed up according to the follow-up appointment request. If so, it is further determined based on the outpatient data whether the follow-up date scheduled by the patient is within the validity period of the follow-up, for example, whether the interval between the scheduled follow-up date and the outpatient date in the outpatient data is within M days (if there are multiple outpatient data in the department, the most recent outpatient data is used for judgment). If so, it is queried whether there is a corresponding online follow-up mark in the outpatient data of the patient in the department. If so, it is determined that the patient meets the qualifications for online follow-up in the Internet hospital. It should be noted that the order of the above-mentioned steps of judging the validity period of the follow-up and the steps of querying the online follow-up mark is not limited.

[0047] Among them, in the above step 130, at least one keyword list is set in the symptom rule library, and each keyword list includes symptom keywords of a specific disease. The specific disease may include special diseases, such as coronavirus pneumonia, common infectious diseases, etc. Common infectious diseases include, for example, chickenpox, cholera, hepatitis A and other diseases. Specific diseases may also include some other diseases. Other diseases may include some diseases that the hospital expects to screen for. As mentioned above, the Internet hospital mainly conducts follow-up visits for common diseases and chronic diseases. Therefore, the other diseases here may be common diseases and chronic diseases in the diagnosis and treatment catalog of the Internet hospital. At present, there are relevant guidelines for more mature types of diseases, which point out some related symptoms of suffering from this disease. According to the symptoms manifested by these diseases, corresponding keyword lists are constructed to establish a symptom rule library.

[0048] In a specific embodiment, keyword list A may correspond to coronavirus pneumonia, and include multiple symptom keywords of coronavirus pneumonia in the list, and keyword list B may correspond to hepatitis A, and include multiple symptom keywords of hepatitis A in the list. Symptom keywords may include the symptoms clinically manifested by the patient, and may also include the symptoms manifested by the patient's laboratory tests. Taking keyword list A as an example, a corresponding keyword list is formulated in accordance with the "Diagnosis and Treatment Plan for New Coronavirus Pneumonia (Trial Seventh Edition)" issued by the National Health Commission for matching with the patient's diagnosis and treatment information. The symptom keywords of keyword list A can refer to the list shown in Table 1 below:

[0049]

[0050]

[0051] Table 1

[0052] The keyword list shown in Table 1 above is only a keyword list generated for coronavirus pneumonia. Obviously, the keyword list generated in actual operation can also include more symptom keywords, or fewer symptom keywords, or even symptom keywords different from those in Table 1. The keyword lists corresponding to other diseases can be constructed in the form of Table 1.

[0053] After obtaining the diagnosis and treatment information of the patient, the diagnosis and treatment information is matched with each keyword list in at least one keyword list respectively. If the diagnosis and treatment information hits at least one symptom keyword in one or more first target keyword lists, a marking reminder is sent to the doctor terminal. The first target keyword list in this article can be all the constructed keyword lists. Then, when the diagnosis and treatment information hits any keyword list, a marking reminder is sent to the doctor terminal. In addition, the first target keyword list can also be a keyword list of special diseases constructed. When the diagnosis and treatment information hits one or more keyword lists corresponding to special diseases, a marking reminder is sent to the doctor terminal. Among them, the marking reminder includes the name of the disease corresponding to the hit first target keyword list, so as to remind the doctor to verify whether the patient suffers from the disease corresponding to the hit first target keyword list, and remind the doctor to make corresponding markings after verification.

[0054] Exemplarily, the symptom rule base includes a first target keyword list, wherein the first target keyword list includes: keyword list A (corresponding to coronavirus pneumonia), keyword list B (corresponding to hepatitis A), keyword list C (corresponding to chickenpox), wherein keyword list A includes keywords 1 to 6, keyword list B includes keywords 7 to 15, and keyword list C includes keywords 16 to 25. In steps 110-120, the diagnosis and treatment information of the patient is matched with keywords 1 to 6 in keyword list A, keywords 7 to 15 in keyword list B, and keywords 16 to 25 in keyword list C. If the diagnosis and treatment information hits keyword 3 and keyword 5 in keyword list A, and hits keyword 10 in keyword list B, a corresponding mark reminder is generated, the mark reminder includes the name of coronavirus pneumonia and the name of hepatitis A, and then the mark reminder is sent to the doctor terminal. After the doctor terminal receives the mark reminder, the doctor can check the diagnosis and treatment information of the patient through the doctor terminal to verify whether he suffers from coronavirus pneumonia and hepatitis A.

[0055] Of course, the generation conditions of the mark reminder set in step 140 can be flexibly set according to the importance of different symptoms in different diseases. Taking the new coronavirus pneumonia as an example, in the corresponding keyword list A, according to the diagnosis and treatment plan issued by the Health Commission, "fever" is an important clinical manifestation symptom of new coronavirus pneumonia. Then, when the diagnosis and treatment information of the patient hits the symptom keyword "fever", the corresponding mark reminder can be generated. For other symptom keywords that are not important manifestations of new coronavirus pneumonia, such as "nasal congestion", "throat pain", "vomiting", etc., it can be set to generate corresponding mark reminders when the diagnosis and treatment information of the patient hits multiple such symptom keywords at the same time, thereby improving the accuracy of the screening method and avoiding doctors from receiving too many mark reminders, affecting their normal diagnosis and treatment work.

[0056] After receiving the mark reminder, the doctor terminal reminds the doctor on the page to remind the doctor to verify whether the patient has the disease corresponding to the first target keyword list. Figure 2 As shown, after step 140, the method further includes the following steps:

[0057] Step 150: receiving a suspected case mark added to the patient by the doctor through the doctor terminal after verifying whether the patient suffers from the disease corresponding to the hit first target keyword list.

[0058] Among them, the suspected case is marked as the first mark or the second mark. After the doctor verifies whether the patient suffers from the disease corresponding to the hit first target keyword list according to the diagnosis and treatment information, he can get the conclusion that the patient does suffer from the corresponding disease and the conclusion that the patient does not suffer from the corresponding disease, and add the corresponding suspected case mark to the patient through the doctor terminal. If the conclusion is that the patient does suffer from the corresponding disease, the first mark is added, and if the conclusion is that the patient does not suffer from the corresponding disease, the second mark is added. Among them, the first mark can be marked in the form of "disease type + disease name", such as "common disease + disease name", "chronic disease + disease name", "special disease + disease name". The doctor terminal uploads the suspected case mark added by the doctor to the Internet hospital data center. Optionally, the doctor terminal can also remind the doctor to give a reason for the mark when adding the suspected case mark.

[0059] Step 160: If the added suspected case mark is the first mark, the case information of the patient is uploaded to the national health information platform.

[0060] As mentioned above, the first target keyword list can be a keyword list corresponding to a special disease. Therefore, when the diagnosis and treatment information of the patient hits the first target keyword list, it is necessary to upload the relevant case information to the national health information platform for control. Therefore, after receiving the suspected case mark uploaded by the doctor's terminal, the Internet hospital data center determines whether the suspected case mark belongs to the first mark. If it belongs to the first mark, the case information of the patient is uploaded to the national health information platform. It should be noted that in the above step 130, the keyword list can be matched by the patient's historical diagnosis and treatment information before this visit, or by the chief complaint information entered by the patient at the time of the appointment, or by the chief complaint information uploaded by the doctor after the end of this online consultation, or by the content of this online consultation. That is to say, the form of the diagnosis and treatment information used for keyword list matching in this embodiment is not specifically limited, and there can be multiple possible implementation methods. In step 160, the case information uploaded to the national health information platform can be the complete diagnosis and treatment information of the patient including the online consultation content, which may include the patient's basic information, historical diagnosis and treatment information, chief complaint information, the content of this online consultation, etc. Of course, case information can also be certain information uploaded by the National Health Information Platform.

[0061] The National Health Information Platform is an official information platform managed by the National Health Commission. Case information of patients with the first mark will be uploaded to this platform. For special diseases that are under key control, such as the currently raging new coronavirus pneumonia, the National Health Information Platform will take such patients as key control objects after receiving the corresponding case information, and carry out subsequent suspected case screening, diagnosis, isolation and treatment based on the basic information of the patients.

[0062] Optionally, for other common diseases and chronic diseases, after receiving the corresponding case information, the National Health Information Platform only needs to record it in the electronic health record corresponding to the patient.

[0063] Optionally, based on the above step 160, in order to simplify the doctor's operation and prevent omissions, in the case where the doctor does not add a suspected case mark after receiving the mark reminder, the above technical solution can also be set as follows: if the suspected case mark added by the doctor is the first mark or the patient has not added a suspected case mark, the case information of the patient can be uploaded to the national health information platform. Among them, if the doctor does not add a suspected case mark, it will be included in the doctor's mark missing rate statistics for the doctor's assessment.

[0064] It should be understood that the above technical solution can accurately screen the diagnosis and treatment information of online patients in Internet hospitals, and find out the possible diseases of patients by matching the diagnosis and treatment information with the keyword list, and then remind doctors to pay attention to and verify their diagnosis and treatment information through the doctor terminal. It should be noted that the results obtained after matching are not used to characterize the final disease results of the patients. This method can assist doctors to identify the diseases suffered by patients more accurately, and at the same time, it can prevent doctors from missing key information and serve as a reminder.

[0065] Furthermore, after step 130, the screening method provided in this embodiment also includes: if the medical information hits at least one symptom keyword in the second target keyword list in at least one keyword list, determining whether the disease corresponding to the hit second target keyword list includes the disease corresponding to the main diagnosis in the medical information; when the disease corresponding to the main diagnosis in the medical information is not included, sending a symptom reminder to the doctor terminal to remind the doctor to verify whether the patient is suffering from the disease corresponding to the hit second target keyword list.

[0066] In this embodiment, the symptom rule library includes a second target keyword list, wherein the second target keyword list can be a keyword list corresponding to common diseases and chronic diseases in the Internet hospital diagnosis and treatment catalog. Under normal circumstances, it is not necessary to initiate a reminder to the doctor's terminal for such common diseases and chronic diseases. Therefore, when the hit disease is consistent with the main diagnosis generated by the patient in the offline clinic before, the symptom reminder can be generated without generating a symptom reminder, and the doctor who conducts the follow-up visit can directly prescribe the medicine. When the hit disease is inconsistent with the original main diagnosis of the patient, a symptom reminder can be generated to remind the doctor.

[0067] Specifically, when the diagnosis and treatment information of the patient hits at least one symptom keyword in one or more second target keyword lists, the Internet hospital data center further determines whether the one or more diseases corresponding to the one or more second target keyword lists include the disease corresponding to the main diagnosis in the diagnosis and treatment information of the patient. If not, it means that the symptoms of the patient may have changed. Therefore, a symptom reminder is generated to remind the doctor to verify whether the patient suffers from the disease corresponding to the second target keyword list, and to verify whether the main diagnosis of the patient has actually changed. The above technical solution can be applied to the screening of special diseases, common diseases, chronic diseases and other diseases by Internet hospitals. For special diseases, doctors can be reminded to verify in time after screening, and the case information of patients verified and confirmed by doctors can be uploaded to the national health information platform in time, which is conducive to the timely implementation of follow-up supervision. For common diseases and chronic diseases, after screening, the screening results that are inconsistent with the main diagnosis can be reminded in time to prevent doctors from missing key information during follow-up visits, resulting in delays in the condition.

[0068] This technical solution is particularly suitable for the current screening of new coronavirus pneumonia. For offline patients, when doctors find that their clinical manifestations and laboratory test results have obvious symptoms of new coronavirus pneumonia, they can be directly admitted and isolated, but for Internet hospitals, there are problems such as the inability to conduct face-to-face consultations with patients and the difficulty of isolation. This embodiment determines the patient's qualification for follow-up visits through steps 110-120. After determining that the patient can undergo online follow-up visits at the Internet hospital, the screening of diagnosis and treatment information is carried out, and then the doctor conducts targeted verification of the disease he suffers from based on the screening results. The efficiency is high and the results obtained are highly accurate. At the same time, by adding corresponding suspected case tags to patients and uploading the information of such patients with special disease risks to the platform, the government can provide corresponding clues for early warning and discovery of infectious diseases. At the same time, for key controlled diseases such as new coronavirus pneumonia, it can be timely investigated and isolated offline based on the patient's basic information to solve the pain point of difficult isolation in Internet hospitals.

[0069] In a specific embodiment, the missing marker rate can be used as an evaluation indicator for doctors, and when the missing marker rate exceeds the preset normal value range, an early warning reminder is sent to the doctor's terminal, prompting the doctor to actively and promptly add the corresponding suspected case mark after completing the diagnosis and treatment. The specific flow chart is as follows Figure 3 As shown, including:

[0070] Step 210: Count the number of times a marking reminder is sent to the doctor terminal within a preset period and the number of times the doctor terminal does not add a suspected case mark after receiving the marking reminder.

[0071] The cycle can be set to one day, one week or one month. Take a doctor terminal within a week as an example. After the end of this week, count the number of times a mark reminder has been sent to the doctor terminal within this week, and the number of times the doctor terminal has not added a suspected case mark after receiving the mark reminder. For the convenience of statistics, after the patient's current visit, if the doctor terminal has not uploaded the corresponding suspected case mark, the patient's mark status can be set to "missing mark", and the number of times the suspected case mark has not been added can be obtained by counting the number of "missing marks".

[0072] Step 220: Calculate the ratio of the number of times the suspected case mark is not added to the number of times the mark reminder is sent to obtain the mark missing rate.

[0073] Step 230: When the marker missing rate exceeds a preset normal value range, a warning reminder is sent to the doctor terminal.

[0074] Further, such as Figure 4 As shown, the screening method for Internet hospital diagnosis and treatment information provided by the embodiment of the present application also includes the following steps:

[0075] Step 310: Obtain the consultation content between the patient and the doctor during the consultation process transmitted by the doctor terminal.

[0076] During the online consultation process of the Internet hospital, the patient can choose the text consultation mode, that is, to ask the doctor in text communication mode, or the voice consultation mode, that is, to communicate with the doctor in voice. The consultation content in step 310 includes all the communication content between the patient and the doctor during this consultation process, which can be obtained in the following two ways:

[0077] (1) If the patient chooses text consultation, the doctor terminal receives the consultation content, which is obtained by the doctor terminal summarizing the text content between the patient and the doctor during the text consultation process.

[0078] (2) If the patient chooses voice consultation, the voice content between the patient and the doctor during the voice consultation is received from the doctor's terminal, and then the voice-to-text interface is called to convert the received voice content of both parties into corresponding text content, and the text content is summarized to obtain the consultation content.

[0079] Step 320: Match the medical inquiry content with sensitive words in a preset list of sensitive words for medical treatment.

[0080] Internet hospitals shall establish a list of sensitive words for diagnosis and treatment in advance to standardize doctors' diagnosis and treatment terms. The list of sensitive words for diagnosis and treatment shall include at least one category of sensitive words, such as: sensitive words with political tendencies, sensitive words with violent tendencies, unhealthy terms, uncivilized terms, etc.

[0081] Step 330: If the consultation content matches any sensitive word in the list of sensitive words for diagnosis and treatment, a standard word reminder is sent to the doctor's terminal.

[0082] If the content of the consultation between the patient and the doctor hits any sensitive word in the list of sensitive words for diagnosis and treatment, it means that the patient or the doctor has used sensitive words during the consultation. Therefore, a standardized terminology reminder is generated to remind the doctor to standardize the diagnosis and treatment terms used during the consultation and to standardize the doctor's words and deeds during the consultation.

[0083] In a more specific embodiment, step 130 of the method includes: before obtaining the consultation content between the patient and the doctor during the current consultation transmitted from the doctor's terminal, obtaining the patient's historical medical information, and matching the historical medical information with at least one keyword list in the symptom rule library.

[0084] In another more specific embodiment, step 130 of the method includes: after obtaining the consultation content between the patient and the doctor during the consultation process transmitted by the doctor's terminal, matching the consultation content with at least one keyword list in the symptom rule library.

[0085] Based on this specific embodiment, the screening method for Internet hospital medical information can include multiple application scenarios for screening patient medical information:

[0086] First, after the patient makes an online follow-up appointment and it is determined that the patient meets the follow-up qualifications, the patient's historical diagnosis and treatment information is retrieved and matched with at least one keyword list in the symptom rule library; if the patient actively enters the chief complaint information (a description of the patient's main symptoms related to the disease and their duration) on the user terminal interface when making this appointment, then the entered chief complaint information and historical diagnosis and treatment information can also be matched with the keyword list. Among them, the chief complaint information uploaded by the user terminal can be the user checking the multiple chief complaint symptoms presented on the user terminal interface to obtain structured chief complaint information.

[0087] Second, after obtaining the consultation content between the patient and the doctor during this consultation process through step 310, the main complaint keywords are extracted from the consultation content to form structured consultation information, and the consultation information is matched with at least one keyword list in the symptom rule library.

[0088] Third, after completing the consultation, the doctor's terminal uploads the patient's chief complaint information. For example, the doctor obtains structured chief complaint information by checking the various chief complaint symptoms presented on the doctor's terminal page, and then matches the chief complaint information with at least one keyword list in the symptom rule library.

[0089] It can be understood that steps 130 and 140 in the screening method for Internet hospital diagnosis and treatment information provided in the embodiment of the present application can be executed before the patient's current visit to provide the doctor with a reference in advance for the visit, or can be executed after the patient's current visit to avoid the doctor missing certain data and failing to discover a certain condition of the patient in time. In addition, it can also be executed before the patient's current visit and again after the patient's current visit, thereby providing more accurate and comprehensive guidance for the diagnosis and treatment of the Internet hospital.

[0090] Furthermore, after the diagnosis and treatment is completed, the constructed Internet hospital information system sends a reminder to the doctor's terminal to remind the physician to make a prescription selection, including successful follow-up (prescription), successful follow-up (consultation / consultation), and no follow-up (cross-department transfer / other). The physician decides whether to prescribe for the patient based on the results of the online consultation.

[0091] If a prescription can be issued, the system calls up the "electronic prescription issuance" function (i.e., function (1) deployed in the previous article), completes the issuance of the electronic prescription online and performs an electronic signature, selects "successful follow-up (prescription)", and starts the prescription review; if a prescription is not issued, the system selects "successful follow-up (consultation / consultation)" or "no follow-up (cross-department transfer / other)" according to the situation, and the diagnosis and treatment ends.

[0092] In the above-mentioned prescription-issuing situation, once the system recognizes that the physician has completed the electronic prescription, it automatically pushes the prescription to the "pharmacist prescription review platform" (i.e., function (3) deployed in the previous article). The pharmacist completes the prescription review and issues a review opinion. The pharmacist uses the gray list of drugs established in the previous deployment work as the basis for prescription review. If there are drugs on the list, the prescription review will fail. If the review opinion is "failed", the physician will re-adjust the prescription based on the review opinion and review the prescription again.

[0093] If the review opinion is "passed", the system will automatically transmit the prescription to the prescription circulation platform (i.e., function (4) deployed in the previous article). The prescription circulation platform recommends relevant pharmacy information based on the patient's location. The patient completes the online payment. The system records and compiles the patient's expense information, distinguishes between medical insurance payment details and non-medical insurance payment details, and reminds the patient to pick up the medicine offline or complete drug delivery through a third party.

[0094] The above content provided in this embodiment establishes the in-diagnosis supervision process of Internet hospital diagnosis and treatment. In addition, each operation step of in-diagnosis supervision can be timestamped to record the patient's diagnosis and treatment time. The system sets a reasonable interval for the duration of the consultation. If the duration is outside the reasonable interval, an abnormal reminder will be issued to the doctor, "Your diagnosis and treatment time is too short / long, please arrange the diagnosis and treatment time reasonably."

[0095] Furthermore, the present application embodiment also establishes a post-diagnosis supervision process for Internet hospital diagnosis and treatment, which includes:

[0096] (1) Patient satisfaction evaluation

[0097] After the diagnosis and treatment, the system automatically pushes the "Patient Satisfaction Score Sheet" to the patient and reminds the patient to complete and submit it in time. The system can analyze the indicators related to patient satisfaction at different stages, including the effective questionnaire recovery rate, the average score of physician satisfaction, etc.

[0098] (2) Patient complaints and suggestions

[0099] After the patient satisfaction evaluation is completed, the system will automatically push a "patient complaint and suggestion" inquiry to the patient, and summarize the patient's feedback into a "patient complaint and suggestion list" to help improve the quality of diagnosis and treatment services of the Internet hospital.

[0100] (3) Statistical analysis of diagnosis and treatment results

[0101] When the physician / pharmacist completes the work content of the diagnosis and treatment shift, he / she clicks the "Exit" button on the doctor's terminal, and the Internet diagnosis and treatment of this shift ends. The system automatically records the consultation time, follow-up results and other information during the diagnosis and treatment of all patients in the shift, and makes statistics. The system can realize the statistics of relevant indicator values ​​such as the cumulative consultation time, the cumulative number of consultations, the average consultation time, the follow-up success rate, and the mark missing rate, and judges according to the preset normal value range of the relevant indicators. If the indicator value exceeds the normal value range, an early warning reminder will be sent to the doctor's terminal to remind the physician. Among them, the calculation method of the mark missing rate has been explained in the previous article and will not be repeated here.

[0102] In summary, in this application, based on the Internet hospital construction requirements in relevant documents, the full-process supervision of Internet hospital diagnosis and treatment before, during and after diagnosis is established, covering multiple roles (physicians, pharmacists, patients) and multiple dimensions of multiple behaviors (diagnosis and treatment, medication, etc.), realizing the intelligent supervision of diagnosis and treatment quality and physician behavior throughout the process, which can effectively improve the quality of medical services. At the same time, it can complete the timely reporting of suspected cases of special diseases to assist in the comprehensive screening of special diseases and regional collaborative management.

[0103] Based on the same inventive concept, the present application embodiment also provides a screening device for Internet hospital diagnosis and treatment information, such as Figure 5 As shown, including:

[0104] The follow-up appointment module 410 is used to receive a follow-up appointment request from a patient in an Internet hospital;

[0105] A follow-up qualification determination module 420 is used to determine whether the patient meets the qualification for follow-up in the Internet hospital according to the follow-up appointment request;

[0106] The information acquisition module 430 is used to acquire the diagnosis and treatment information of the patient after determining that the patient meets the qualifications for the follow-up visit, and match the diagnosis and treatment information with at least one keyword list in the symptom rule library; wherein each keyword list includes a symptom keyword of a specific disease;

[0107] The information screening module 440 is used to send a marking reminder to the doctor terminal when the medical information hits at least one symptom keyword in the first target keyword list in the at least one keyword list. The marking reminder includes the name of the disease corresponding to the hit first target keyword list, so as to remind the doctor to verify whether the patient suffers from the disease corresponding to the hit first target keyword list, and mark it after verification.

[0108] Optionally, the device further comprises:

[0109] A mark receiving module, used for receiving a suspected case mark added to the patient by the doctor through the doctor terminal after verifying whether the patient suffers from the disease corresponding to the hit first target keyword list;

[0110] The marking determination module is used to upload the case information of the patient to the national health information platform when the added suspected case mark is the first mark.

[0111] Optionally, the device further comprises:

[0112] A primary diagnosis determination module, for determining, when the diagnosis and treatment information hits at least one symptom keyword in the second target keyword list in the at least one keyword list, whether the disease corresponding to the hit second target keyword list includes the disease corresponding to the primary diagnosis in the diagnosis and treatment information;

[0113] The symptom reminder module is used to send a symptom reminder to the doctor's terminal when the disease corresponding to the second target keyword list is not included in the disease corresponding to the main diagnosis in the medical information, so as to remind the doctor to verify whether the patient is suffering from the disease corresponding to the second target keyword list.

[0114] Optionally, the device further comprises:

[0115] The consultation content acquisition module is used to obtain the consultation content between the patient and the doctor during the consultation process transmitted by the doctor terminal;

[0116] A sensitive word matching module, used to match the medical consultation content with sensitive words in a preset list of sensitive words for medical treatment;

[0117] The terminology reminder module is used to send a standard terminology reminder to the doctor terminal when the medical consultation content hits any sensitive word in the medical terminology sensitive word list; the standard terminology reminder is used to remind the doctor to standardize the medical terminology used during the medical consultation.

[0118] Optionally, the consultation content acquisition module is specifically used to: receive the consultation content transmitted from the doctor terminal, where the consultation content is obtained by summarizing the text content between the patient and the doctor during the text consultation process by the doctor terminal; or, receive the voice content between the patient and the doctor during the voice consultation process transmitted from the doctor terminal, convert the voice content into text content, and summarize the text content to obtain the consultation content.

[0119] Optionally, the device further comprises:

[0120] A marking statistics module, used to count the number of times the marking reminder is sent to the doctor terminal within a preset period and the number of times the doctor terminal does not add a suspected case mark after receiving the marking reminder;

[0121] The early warning reminder module is used to calculate the ratio of the number of times the suspected case mark is not added to the number of times the mark reminder is sent to obtain the mark missing rate; and when the mark missing rate exceeds a preset normal value range, send an early warning reminder to the doctor terminal.

[0122] It should be understood that the above-mentioned screening device for Internet hospital medical information has the same basic principles and technical effects as the screening method for Internet hospital medical information in the previous method embodiment. For the sake of brief description, for parts not mentioned in this embodiment, please refer to the corresponding contents in the above-mentioned method embodiment, and no further details will be given here.

[0123] Based on the above embodiments, the embodiments of the present application further provide a storage medium, which stores computer instructions. When the computer instructions are executed by a computer, the computer executes the aforementioned screening method for Internet hospital diagnosis and treatment information.

[0124] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. Furthermore, the functional modules in the various embodiments of the present application can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part.

[0125] In this document, relational terms such as first and second, etc. are used merely to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0126] The above description is only an embodiment of the present application and is not intended to limit the protection scope of the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for screening diagnosis and treatment information of an Internet hospital, characterized in that: include: Receive follow-up appointment requests from patients in the Internet hospital; Determining whether the patient meets the qualifications for a follow-up visit in the Internet hospital according to the follow-up appointment request; After determining that the patient meets the qualifications for the follow-up visit, obtaining the patient's diagnosis and treatment information, and matching the diagnosis and treatment information with at least one keyword list in the symptom rule library; wherein each keyword list includes a symptom keyword of a specific disease; If the diagnosis and treatment information hits at least one symptom keyword in the first target keyword list in the at least one keyword list, a marking reminder is sent to the doctor terminal, wherein the marking reminder includes the name of the disease corresponding to the hit first target keyword list, so as to remind the doctor to verify whether the patient suffers from the disease corresponding to the hit first target keyword list, and mark the disease after verification; If the conclusion is that the patient suffers from the corresponding disease, a first mark is added; if the conclusion is that the patient does not suffer from the corresponding disease, a second mark is added; the first target keyword list is a list of all keywords or a list of keywords corresponding to a specific disease.

2. The method according to claim 1, characterized in that After sending the marking reminder to the doctor terminal, the method further includes: receiving a suspected case mark added to the patient by the doctor through the doctor terminal after the doctor verifies whether the patient suffers from the disease corresponding to the hit first target keyword list; If the added suspected case mark is the first mark, the case information of the patient will be uploaded to the national health information platform.

3. The method according to claim 1, characterized in that After matching the diagnosis and treatment information with at least one keyword list in the symptom rule library, the method further includes: If the diagnosis and treatment information hits at least one symptom keyword in the second target keyword list in the at least one keyword list, determine whether the disease corresponding to the hit second target keyword list includes the disease corresponding to the main diagnosis in the diagnosis and treatment information; the second target keyword list is a keyword list corresponding to common diseases and chronic diseases; When the disease corresponding to the main diagnosis in the medical information is not included, a symptom reminder is sent to the doctor terminal to remind the doctor to verify whether the patient suffers from the disease corresponding to the hit second target keyword list.

4. The method according to any one of claims 1 to 3, characterized in that: The method further comprises: Obtain the consultation content between the patient and the doctor during the consultation process transmitted by the doctor's terminal; Matching the medical consultation content with sensitive words in a preset list of sensitive words for medical treatment; If the medical inquiry content matches any sensitive word in the list of sensitive words for medical treatment, a standard terminology reminder is sent to the doctor terminal; the standard terminology reminder is used to remind the doctor to standardize the medical treatment terms used during the medical consultation.

5. The method according to claim 4, characterized in that The obtaining of the consultation content between the patient and the doctor during the consultation process transmitted by the doctor terminal includes: receiving the consultation content transmitted by the doctor terminal, wherein the consultation content is obtained by the doctor terminal summarizing the text content between the patient and the doctor during the text consultation process; or The voice content between the patient and the doctor during the voice consultation process is received from the doctor terminal, the voice content is converted into text content, and the text content is summarized to obtain the consultation content.

6. The method according to claim 2, characterized in that The method further comprises: Counting the number of times the marking reminder is sent to the doctor terminal within a preset period and the number of times the doctor terminal does not add a suspected case mark after receiving the marking reminder; The ratio of the number of times the suspected case mark is not added to the number of times the mark reminder is sent is calculated to obtain the mark missing rate; when the mark missing rate exceeds a preset normal value range, an early warning reminder is sent to the doctor terminal.

7. The method according to claim 4, characterized in that The obtaining of the patient's medical information and matching of the medical information with at least one keyword list in the symptom rule library includes: before obtaining the consultation content between the patient and the doctor during the current consultation transmitted from the doctor's terminal, obtaining the patient's historical medical information and matching the historical medical information with at least one keyword list in the symptom rule library.

8. The method according to claim 4, characterized in that The obtaining of the diagnosis and treatment information of the patient and matching the diagnosis and treatment information with at least one keyword list in the symptom rule library includes: after obtaining the consultation content between the patient and the doctor during the consultation process transmitted by the doctor's terminal, matching the consultation content with at least one keyword list in the symptom rule library.

9. A screening device for diagnosis and treatment information of an Internet hospital, characterized in that: include: The follow-up appointment module is used to receive follow-up appointment requests from patients in the Internet hospital; A follow-up consultation qualification determination module is used to determine whether the patient meets the qualifications for follow-up consultation in the Internet hospital according to the follow-up consultation appointment request; An information acquisition module, for acquiring the diagnosis and treatment information of the patient after determining that the patient meets the qualifications for the follow-up visit, and matching the diagnosis and treatment information with at least one keyword list in the symptom rule library; wherein each keyword list includes a symptom keyword of a specific disease; An information screening module is used to send a marking reminder to a doctor terminal when the diagnosis and treatment information hits at least one symptom keyword in the first target keyword list of the at least one keyword list, wherein the marking reminder includes the name of the disease corresponding to the hit first target keyword list, so as to remind the doctor to verify whether the patient suffers from the disease corresponding to the hit first target keyword list, and mark the patient after verification; if the conclusion is that the patient suffers from the corresponding disease, a first mark is added, and if the conclusion is that the patient does not suffer from the corresponding disease, a second mark is added; the first target keyword list is a list of all keywords or a list of keywords corresponding to a special disease.

10. A storage medium, characterized in that: The storage medium stores computer instructions, and when the computer instructions are executed by a computer, the computer is caused to execute the method according to any one of claims 1 to 8.

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