Virtual doctor follow-up visit management method and system

Abstract

The invention relates to a follow-up visit management method and system for a virtual doctor, and relates to the technical field of medical follow-up visit, and the method comprises the steps: obtaining a target population type and a target disease type of a to-be-follow-up visit patient; determining a target follow-up plan for the to-be-follow-up patient at the current time according to the easily-induced symptoms of the drug side effects of the target historical follow-up patient and the corresponding easily-induced duration, the crowd type of the target historical follow-up patient is the same as the target crowd type, the taken medicine is the same as that of the to-be-follow-up patient, and the disease type is the same as the target disease type; according to the target follow-up visit plan, sending a follow-up visit message to a patient terminal of the patient to be subjected to follow-up visit; according to feedback information sent by the patient terminal, whether the illness state of the patient to be follow-up visited is abnormal or not is determined, if yes, the target follow-up visit plan is adjusted, and the feedback information is feedback of generated uncomfortable symptoms. The method has the effects of improving the individuation of the follow-up visit service and improving the follow-up visit service experience of the patient.

Description

Technical Field

[0001] The present application relates to the field of medical follow-up technology, and in particular to a virtual doctor's follow-up management method and system. Background Art

[0002] Virtual doctor follow-up refers to the use of Internet technology and artificial intelligence algorithms to simulate the diagnosis and treatment process of real doctors and conduct remote follow-up of patients. Patients can communicate and consult with virtual doctors anytime and anywhere. Among them, follow-up refers to the regular tracking and monitoring of patients by doctors or medical institutions during the medical service process to evaluate the treatment effect, monitor changes in the condition, provide necessary support and guidance, and ensure that patients receive continuous medical attention. Follow-up management refers to a detailed tracking and monitoring plan developed for patients to ensure that patients receive continuous attention and support during the rehabilitation process after the completion of treatment. As people's health awareness gradually improves, the requirements for follow-up services in hospitals are also getting higher and higher. Therefore, effective follow-up management is the key to improving the quality and experience of follow-up services for patients.

[0003] At present, the follow-up management based on virtual doctors is usually carried out in the following way: follow-up messages are automatically sent to patients through traditional virtual medical systems to track and monitor patients regularly. In this way, traditional virtual medical systems edit corresponding follow-up messages based on universal follow-up templates and send them to patients with different diseases. However, since different patients have different follow-up needs, the follow-up services provided are less personalized and the patients' follow-up service experience is also affected. Summary of the invention

[0004] In order to enhance the personalization of follow-up services and improve patients' follow-up service experience, the present application provides a virtual doctor's follow-up management method, system, storage medium and electronic device.

[0005] In a first aspect of the present application, a virtual doctor follow-up management method is provided, which specifically includes: Obtain the target population type and target disease type of patients to be followed up; Determine a target follow-up plan for the patient to be followed up at the current time according to the easily induced symptoms of drug side effects of the target historical follow-up patient and the corresponding easily induced duration, the target historical follow-up patient has the same population type as the target population type, takes the same drugs as the patient to be followed up, and has the same disease type as the target disease type, the easily induced symptoms are discomfort symptoms easily induced by the side effects of taking drugs, the easily induced duration is the discharge time when the easily induced symptoms are likely to occur, and the target follow-up plan includes a plan for understanding the discomfort symptoms caused by drug side effects at the current time; According to the target follow-up plan, sending a follow-up message to the patient terminal of the patient to be followed up; According to the feedback information sent by the patient terminal, it is determined whether the condition of the patient to be followed up is abnormal. If so, the target follow-up plan is adjusted, and the feedback information is feedback on the discomfort symptoms generated.

[0006] By adopting the above technical solution, after obtaining the target population type and target disease type, the easy-to-induce symptoms and corresponding easy-to-induce duration of the target historical follow-up patients with the same disease type, population type and compounded drugs as the patient to be followed up are determined, so as to analyze the generation of the discomfort symptoms of the drug side effects of the patient to be followed up at the current time, and then determine the understanding plan for the corresponding discomfort symptoms, so as to determine the target follow-up plan that is more in line with the specific disease condition of the patient to be followed up. Furthermore, based on the target follow-up plan, a follow-up message is sent to the patient terminal of the patient to be followed up, so as to track its specific disease condition. Finally, according to the feedback information, it is analyzed whether the patient to be followed up has discomfort symptoms caused by normal drug side effects or abnormal conditions. If it is determined that the condition is abnormal, the original target follow-up plan may no longer be applicable and needs to be adjusted, so that the follow-up of the follow-up patients is more targeted, the personalization of follow-up services is improved, and the follow-up service experience of patients is improved.

[0007] Optionally, the step of determining a target follow-up plan for the patient to be followed up at the current time based on the easily induced symptoms of drug side effects of the target historical follow-up patient and the corresponding easily induced duration specifically includes: Counting the first occurrence times of historical discomfort symptoms of drug side effects of the target historical follow-up patients, and selecting the first occurrence times of the historical discomfort symptoms from each of the historical discomfort symptoms in descending order as the easily induced symptom; Obtaining the historical discharge duration corresponding to the occurrence of each of the inducible symptoms, and counting the second occurrence number of each of the historical discharge durations; According to the descending order of the second occurrence times, the second historical discharge time is selected from each of the historical discharge times and determined as the corresponding inducible time of the inducible symptom; Calculating a first weight of each of the inducible symptoms and a second weight of the corresponding inducible duration, wherein the first weight is a ratio of a first occurrence number of each inducible symptom to a sum of first occurrence numbers of all inducible symptoms, and the second weight is a ratio of a second occurrence number of a single inducible duration corresponding to the inducible symptom to a sum of second occurrence numbers of all corresponding inducible durations; According to each of the first weights and the corresponding second weights, a target follow-up plan for the patient to be followed-up at the current time is determined.

[0008] By adopting the above technical solution, the greater the first occurrence number, the more likely the patient to be followed up will experience the corresponding historical discomfort symptoms during rehabilitation treatment, thereby determining the easily induced symptoms of drug side effects; the greater the second occurrence number, the more likely the discharge time when the easily induced symptoms occur will be the corresponding historical discharge time, thereby determining the easily induced time corresponding to the easily induced symptoms. Furthermore, an analysis is performed in combination with the first weight of each easily induced symptom and the second weight of the corresponding easily induced time to determine whether it is necessary to understand the discomfort symptoms of the patient to be followed up at the current time, thereby determining a target follow-up plan that is more suitable for the patient to be followed up.

[0009] Optionally, determining a target follow-up plan for the patient to be followed-up at the current time according to each of the first weights and the corresponding second weights specifically includes: Calculating a first discharge duration between the current time and the discharge time of the patient to be followed up, and determining the easily induced symptoms that exist in the first discharge duration in the corresponding easily induced duration as key induced symptoms; Calculate the first weight product of the first weight of each of the key induced symptoms and the second weight of the corresponding first discharge time, and select the maximum first weight product from each of the first weight products; The key induced symptom corresponding to the maximum first weight product is determined as the target induced symptom, and the care items corresponding to the occurrence of the target induced symptom at the current time are added to the initial follow-up plan to obtain the target follow-up plan.

[0010] By adopting the above technical solution, the larger the first weight product is, the more likely the patient to be followed up is to experience the corresponding key induced symptoms caused by drug side effects at the current time. Then, the maximum first weight product is selected from each first weight product, and the key induced symptom corresponding to the maximum first weight product is determined as the target induced symptom, that is, the patient to be followed up is more likely to experience discomfort symptoms caused by drug side effects at the current time. Finally, the care items corresponding to the occurrence of this target induced symptom at the current time are added to the initial follow-up plan to obtain a target follow-up plan, thereby achieving a more accurate follow-up of the patients to be followed up and improving the experience of follow-up services.

[0011] Optionally, determining whether the condition of the patient to be followed up is abnormal according to the feedback information sent by the patient terminal specifically includes: If it is determined that the target induced symptom occurs according to the feedback information sent by the patient terminal, then obtaining the actual occurrence time of the target induced symptom of the patient to be followed up; When the actual occurrence time is not the current time, calculating the second weight product of the first weight of the target induced symptom and the second weight of each corresponding easily induced duration, and selecting the maximum second weight product from each of the second weight products; Determine a second discharge time between the actual occurrence time and the discharge time of the patient to be followed up, and when the second discharge time is not the easily inducible time corresponding to the maximum second weight product, determine the easily inducible symptoms that exist in the second discharge time in the corresponding easily inducible time as other easily inducible symptoms; The third weight product of the first weight of the other easily-inducible symptoms and the second weight of the corresponding second discharge time is calculated. If the third weight product is greater than the maximum second weight product, it is determined that the condition of the patient to be followed up is abnormal.

[0012] By adopting the above technical solution, the larger the second weight product is, the easier it is for the target induced symptom to appear in the corresponding easy-inducible time. Further, the maximum second weight product is selected from each second weight product. If the second discharge time is not the easy-inducible time corresponding to the maximum second weight product, it means that the target induced symptoms of this patient to be followed up at the second discharge time are unlikely to be caused by drug side effects, and may be caused by abnormal conditions, which requires further verification. If there is a third weight product greater than the above-mentioned maximum second weight product, it means that the patient to be followed up is more likely to have other easy-inducible symptoms caused by drug side effects at the second discharge time, rather than the target induced symptoms, and then verify that the target induced symptoms of the patient to be followed up are not caused by drug side effects, but are caused by abnormal conditions, so as to more accurately judge the abnormal condition.

[0013] Optionally, the method further includes: If it is determined according to the feedback information sent by the patient terminal that the target induced symptom has not occurred, then calculating the sum of the weight products of the first weight of each of the easily induced symptoms and the second weight of each corresponding easily induced duration; When the sum of the weight products corresponding to the target induced symptoms is the largest, determining the easily induced durations corresponding to the target induced symptoms that are shorter than the first discharge duration as the first duration; Calculate the sum of the first weight products of the first weight of the target induced symptom and the second weights of the corresponding first durations; Determine the easily inducible duration that is greater than the first discharge duration among the easily inducible durations corresponding to the target induced symptom as the second duration, and calculate the sum of the second weight products of the first weight of the target induced symptom and the second weights of the corresponding second durations; The sum of the second weight products and the maximum first weight product are summed to obtain the sum of the third weight products. If the sum of the first weight products is greater than the sum of the third weight products, the target population type of the patients to be followed up is adjusted.

[0014] By adopting the above technical scheme, when the sum of the weight products corresponding to the target induced symptoms is the largest among all the sums of weight products, the possibility of the patient to be followed up developing the target induced symptoms due to drug side effects is the greatest. Furthermore, if the sum of the first weight products is greater than the sum of the third weight products, it means that the target induced symptoms are less likely to occur during the easy-to-induce time after the first discharge time, that is, the probability that the patient to be followed up will eventually develop the target induced symptoms due to drug side effects is small. The two dimensions determine the possibility of the occurrence of the target induced symptoms and contradict each other. It may be because the accuracy of the target population type is poor, so it is readjusted to make the population type determined for the patients to be followed up more accurate.

[0015] Optionally, if so, adjusting the target follow-up plan includes: If yes, then obtain the historical abnormality type corresponding to the target disease type, count the third occurrence times of each of the historical abnormality types, and select the historical abnormality type with the third number from each of the historical abnormality types in descending order of the third occurrence times to determine as the abnormality prone to occur; Counting the fourth number of occurrences of the historical discomfort symptoms of each of the historical patients prone to abnormalities, selecting the fourth number of historical discomfort symptoms from each of the historical discomfort symptoms in descending order of the fourth number of occurrences and determining them as the corresponding prone symptoms; Determine a third weight of each of the prone abnormalities and a fourth weight of the corresponding prone symptom, wherein the third weight is a ratio of a third occurrence number of each prone abnormality to the sum of the third occurrence numbers of all prone abnormalities, and the fourth weight is a ratio of a fourth occurrence number of a single prone symptom corresponding to the prone abnormality to the sum of the fourth occurrence numbers of all corresponding prone symptoms; Based on the third weight and the corresponding fourth weight, the target follow-up plan is adjusted.

[0016] By adopting the above technical solution, the greater the third occurrence number, the more likely the patient of the target disease type is to have the corresponding historical abnormality type, thereby determining the abnormality that is likely to occur; the greater the fourth occurrence number, the more likely the abnormality is to be accompanied by the corresponding historical discomfort symptoms, thereby determining the discomfort symptoms that are likely to be accompanied by the abnormality. Finally, based on each third weight and the corresponding fourth weight, it is analyzed whether the condition of the patient to be followed up is abnormal, so as to adjust the target follow-up plan accordingly, so that the target follow-up plan is more suitable for the patient to be followed up, and the quality of the follow-up service is higher.

[0017] Optionally, adjusting the target follow-up plan based on the third weight and the corresponding fourth weight specifically includes: Determine the easily occurring symptoms actually occurring in the patient to be followed up as actual discomfort symptoms, determine the easily occurring abnormalities corresponding to each actual discomfort symptom as actual abnormalities, and calculate the sum of the fourth weight products of the third weight of each actual abnormality and the fourth weight of the corresponding actual discomfort symptom; Summing the sums of the fourth weighted products to obtain a final product sum, and if the final product sum is greater than a preset product sum threshold, determining the actual abnormality corresponding to the maximum sum of the fourth weighted products among the sums of the fourth weighted products as the final abnormality of the condition of the patient to be followed up; The target follow-up plan is adjusted according to the final abnormal condition.

[0018] By adopting the above technical solution, the larger the sum of the fourth weighted products is, the greater the possibility that the corresponding actual abnormality will occur in the patient to be followed up. Furthermore, the sum of the fourth weighted products corresponding to each actual abnormality is summed to obtain the final sum of products. The larger the final sum of products is, the greater the possibility that the overall condition of the patient to be followed up will be abnormal. If the final sum of products is greater than the preset product sum threshold, it means that the patient to be followed up is likely to have an abnormal condition, and the abnormal condition is verified again. Finally, the actual abnormality corresponding to the maximum sum of the fourth weighted products in the sum of each fourth weighted product is determined as the final abnormal condition of the patient to be followed up, that is, the most likely abnormal condition, and according to the final abnormal condition, the target follow-up plan is adjusted, so as to achieve a more accurate and reasonable follow-up of the patients to be followed up, and improve the follow-up service experience of the patients.

[0019] In a second aspect of the present application, a virtual doctor follow-up management system is provided, which specifically includes: An information acquisition module, used to obtain the target population type and target disease type of the patients to be followed up; A plan determination module is used to determine a target follow-up plan for the patient to be followed up at the current time according to the easily induced symptoms of drug side effects of the target historical follow-up patient and the corresponding easily induced duration, the target historical follow-up patient has the same population type as the target population type, takes the same drugs as the patient to be followed up, and has the same disease type as the target disease type, the easily induced symptoms are discomfort symptoms easily induced by the side effects of taking drugs, the easily induced duration is the discharge time when the easily induced symptoms are likely to occur, and the target follow-up plan includes a plan for understanding the discomfort symptoms caused by drug side effects at the current time; A message follow-up module, used for sending a follow-up message to a patient terminal of the patient to be followed up according to the target follow-up plan; The plan adjustment module is used to determine whether the condition of the patient to be followed up is abnormal according to the feedback information sent by the patient terminal. If so, the target follow-up plan is adjusted. The feedback information is feedback on the discomfort symptoms generated.

[0020] By adopting the above technical solution, the information acquisition module obtains the target population type and the target disease type, the plan determination module determines the target follow-up plan for the patients to be followed up at the current time, and then the message follow-up module sends a follow-up message to the patient terminal of the patient to be followed up according to the target follow-up plan. Finally, the plan adjustment module determines whether the condition is abnormal based on the feedback information from the patient terminal. If so, the target follow-up plan is adjusted.

[0021] In a third aspect of the present application, a computer-readable storage medium is provided, in which a computer program is stored. When the computer program is loaded and executed by a processor, the method steps described in any one of the first aspects are performed.

[0022] In a fourth aspect of the present application, an electronic device is provided, specifically comprising: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the processor is used to load and execute the computer program stored in the memory so that the electronic device performs the method as described in any one of the first aspects.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: determining the easily induced symptoms and corresponding easily induced duration of the target historical follow-up patients with the same disease type, population type and compounded drugs as the patient to be followed up, so as to analyze the generation of the discomfort symptoms of the drug side effects of the patient to be followed up at the current time, and then determine the understanding plan for the corresponding discomfort symptoms, so as to determine a target follow-up plan that is more in line with the specific disease condition of the patient to be followed up. Furthermore, based on the target follow-up plan, a follow-up message is sent to the patient terminal of the patient to be followed up, so as to track his specific disease condition. Finally, according to the feedback information, it is analyzed whether the patient to be followed up has discomfort symptoms caused by normal drug side effects or abnormal condition. If it is determined that the condition is abnormal, the original target follow-up plan may no longer be applicable and needs to be adjusted, so that the follow-up of the follow-up patients is more targeted, the personalization of the follow-up service is improved, and the follow-up service experience of the patient is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flowchart of a virtual doctor follow-up management method provided in an embodiment of the present application; Figure 2 It is a flowchart of another virtual doctor follow-up management method provided in an embodiment of the present application; Figure 3 It is a structural diagram of a virtual doctor follow-up management system provided in an embodiment of the present application; Figure 4 It is a structural diagram of another virtual doctor follow-up management system provided in an embodiment of the present application.

[0025] Explanation of the accompanying drawings: 11. Information acquisition module; 12. Plan determination module; 13. Message follow-up module; 14. Plan adjustment module; 15. Type adjustment module. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0027] In the description of the embodiments of the present application, words such as "illustrative", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "illustrative", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "illustrative", "for example" or "for example" is intended to present related concepts in a concrete way.

[0028] In the description of the embodiments of the present application, the term "and / or" is only a kind of association relationship describing the associated objects, indicating that there may be three kinds of relationships, for example, A and / or B, which can represent: A exists alone, B exists alone, and A and B exist at the same time. In addition, unless otherwise specified, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" can explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0029] See also Figure 1 The embodiment of the present application discloses a flow chart of a virtual doctor's follow-up management method, which can be implemented by a computer program or run on a virtual doctor's follow-up management system based on the von Neumann system. The computer program can be integrated into an application or run as an independent tool application, specifically including: S101: Obtain the target population type and target disease type of the patients to be followed up.

[0030] Specifically, in an embodiment of the present application, the patient to be followed up is a patient who returns home for rehabilitation treatment after completing treatment in the hospital and needs to be followed up. The rehabilitation treatment can be drug therapy to help the patient to be followed up to perform physical conditioning as much as possible after treatment. In other embodiments, rehabilitation therapy can also be a combination of drug therapy and physical therapy. Among them, follow-up refers to a series of tracking and monitoring activities carried out on the patient after returning home after the hospital treatment is completed, aiming to ensure that the patient's rehabilitation progresses smoothly and to promptly discover and deal with possible problems. Population type refers to different group categories divided according to the user's characteristic attributes or basic information. The target population type refers to the group category of the patient to be followed up. The target disease type is the specific disease suffered by the patient to be followed up during hospital treatment. In other embodiments, the target disease type can also be the disease category to which the disease suffered by the patient to be followed up during hospital treatment belongs.

[0031] Furthermore, the execution subject of a virtual doctor follow-up management method disclosed in an embodiment of the present application may be a terminal, and the terminal may be a personal computer or a tablet computer. A feasible way to obtain the target population type and the target disease type is to retrieve the electronic medical record of the patient to be followed up, extract the basic information of the patient to be followed up and the specific disease suffered from the electronic medical record, so as to determine the target disease type. The basic information includes but is not limited to the name, age, gender and underlying disease of the patient to be followed up. This basic information is input into the population type prediction model to obtain the target population type. The population type prediction model may be a trained convolutional neural network model. In other embodiments, it may also be a recurrent neural network model. The training process is briefly described as training the model through basic information samples marked with population types until the model converges.

[0032] S102: Determine a target follow-up plan for the patient to be followed up at the current time based on the easily induced symptoms of drug side effects of the target historical follow-up patient and the corresponding easily induced duration.

[0033] Specifically, the population type of the target historical follow-up patients is the same as the target population type, the medications they take are the same as those of the patients to be followed up, and the disease type is the same as the target disease type. It can be understood that the target historical follow-up patients and the patients to be followed up have the same disease, the same population category, and the same rehabilitation treatment medications. Inducible symptoms are discomfort symptoms that are easily induced by the side effects of taking drugs, and the inducible duration is the discharge duration when the easily induced symptoms are likely to occur. The target follow-up plan includes an understanding plan for the discomfort symptoms that may be caused by the side effects of the drugs at the current time. For example, there is a target historical follow-up patient A, whose discharge time is March 2, and the time when the discomfort symptoms caused by the side effects of the drugs appear on March 7, then the discharge duration corresponding to this appearance time is 5 days. It should be noted that discomfort symptoms include but are not limited to nausea, headache, vomiting, etc.

[0034] Furthermore, a feasible way to determine the easily induced symptoms and the corresponding easily induced duration is as follows: according to the historical follow-up records of the target historical follow-up patients, the historical discomfort symptoms of the drug side effects of each target historical follow-up patient are obtained, and the first occurrence number of each historical discomfort symptom is counted. The larger the first occurrence number, the more likely the patient to be followed up will have the corresponding historical discomfort symptom during rehabilitation treatment. According to the order of the first occurrence number from large to small, the first number of historical discomfort symptoms is selected from each historical discomfort symptom to be determined as the easily induced symptom. Further, the historical discharge duration of the patient when each easily induced symptom occurs is obtained from the historical follow-up records, and the second occurrence number of each historical discharge duration is counted. The larger the second occurrence number, the more likely the discharge duration when the easily induced symptom occurs is to be the corresponding historical discharge duration. Finally, according to the order of the second occurrence number from large to small, the second number of historical discharge duration is selected from each historical discharge duration and determined as the easily induced duration of the corresponding easily induced symptom.

[0035] Furthermore, the first weight of each inducible symptom and the second weight of the corresponding inducible duration are calculated, wherein the first weight is the ratio of the first occurrence number of each inducible symptom to the sum of the first occurrence numbers of all inducible symptoms, and the second weight is the ratio of the second occurrence number of a single inducible duration corresponding to the inducible symptom to the sum of the second occurrence numbers of all corresponding inducible durations.

[0036] Further, according to the determined first weight and the corresponding second weight, the target follow-up plan is determined. A feasible implementation method is: subtract the discharge time of the patient to be followed up from the current time to obtain the first discharge time. In the embodiment of the present application, the current time and the discharge time are both dates. Then the easily induced symptoms in the corresponding easily induced time with the first discharge time are determined as key induced symptoms, and the first weight product of the first weight of each key induced symptom and the second weight of the corresponding first discharge time is calculated. The larger the first weight product, the easier it is for the patient to be followed up to have the corresponding key induced symptoms caused by drug side effects at the current time. Then the maximum first weight product is selected from each first weight product, and the key induced symptom corresponding to the maximum first weight product is determined as the target induced symptom, that is, the patient to be followed up is more likely to have discomfort symptoms caused by drug side effects at the current time. Finally, the corresponding occurrence of the target induced symptom at the current time is added to the initial follow-up plan to obtain the target follow-up plan, so as to achieve a more accurate follow-up of the follow-up patients and improve the experience of follow-up services. Among them, the matters of care for the situation include but are not limited to asking whether the patient to be followed up has the target induced symptoms and other matters. The follow-up plan refers to a detailed follow-up plan formulated according to the specific situation of the patient, including the schedule, frequency, content and method of follow-up, so as to monitor the patient's recovery in real time. In an embodiment of the present application, the initial follow-up plan is matched from a preset follow-up plan matching table based on the target population type and the target disease type. The follow-up plan matching table includes different population types, disease types and corresponding initial follow-up plans.

[0037] S103: Sending a follow-up message to a patient terminal of the patient to be followed up according to the target follow-up plan.

[0038] Specifically, in the embodiment of the present application, the patient terminal may be a smart phone or a personal computer. Since the target follow-up plan includes care items corresponding to the occurrence of the target induced symptoms at the current time, a corresponding care template is selected from a preset follow-up template library, and query information about the occurrence of the target induced symptoms is input into the care template to obtain a corresponding follow-up message, which is then sent to the patient terminal.

[0039] S104: Determine whether the condition of the patient to be followed up is abnormal based on the feedback information sent by the patient terminal, and if so, adjust the target follow-up plan.

[0040] Specifically, after obtaining the feedback information sent by the patient terminal of the patient to be followed up, the feedback information is the feedback of the patient to be followed up on the discomfort symptoms. If it is determined based on the feedback information that the target induced symptom appears in the body of the patient to be followed up, then a pop-up window for collecting the appearance time is sent to the patient terminal to obtain the actual appearance time of the target induced symptom. If the actual appearance time is not the current time, it means that although the target induced symptom appears, it is not currently appearing. Then, the actual appearance time is subtracted from the discharge time of the patient to be followed up to obtain the second discharge time, and then the first weight of the target induced symptom and the second weight product of the corresponding second weights of each easy-to-induce time are calculated. The larger the second weight product, the easier it is for the target induced symptom to appear in the corresponding easy-to-induce time. Further, the maximum second weight product is selected from each second weight product. If the second discharge time is not the susceptible time corresponding to the maximum second weight product, it means that the target induced symptoms of the patient to be followed up at the second discharge time are unlikely to be caused by drug side effects, and may be caused by abnormal disease conditions, which requires further verification. Then the susceptible symptoms of the second discharge time in the corresponding susceptible time are determined as other susceptible symptoms, and then the third weight product of the first weight of each other susceptible symptom and the second weight of the corresponding second discharge time is calculated. If there is a third weight product greater than the above-mentioned maximum second weight product, it means that the patient to be followed up is more likely to have other susceptible symptoms caused by drug side effects at the second discharge time, rather than the target induced symptoms, and then it is verified that the target induced symptoms of the patient to be followed up are not caused by drug side effects, but by abnormal disease conditions, and then it is determined that the disease condition of the patient to be followed up is abnormal.

[0041] In other embodiments, if it is determined based on feedback information that the patient to be followed up has not developed the target induced symptom, the sum of the weight products of the first weight of each easily induced symptom and the corresponding second weights of each easily induced duration is calculated. The larger the sum of the weight products, the greater the possibility that the patient to be followed up will develop the corresponding easily induced symptom. When the sum of the weight products corresponding to the target induced symptom is the largest among all weight product sums, the possibility that the patient to be followed up will develop the target induced symptom due to drug side effects is the greatest, and the target induced symptom may appear at an easily induced duration after the first discharge duration. Then, among all easily induced durations corresponding to the target induced symptom, the easily induced duration that is less than the first discharge duration is determined as the first duration. The first weight of the target induced symptom and the weight product of the corresponding second weights of each first duration are calculated and summed to obtain the sum of the first weight products. The larger the sum of the first weight products, the greater the possibility that the target induced symptom will appear at a discharge duration less than the first discharge duration due to drug side effects.

[0042] Similarly, the easily induced durations corresponding to the target induced symptoms that are greater than the first discharge duration are determined as the second durations, and the sum of the second weight products of the first weight of the target induced symptoms and the second weights of the corresponding second durations are calculated. Further, the sum of the second weight products is summed with the maximum first weight product to obtain the sum of the third weight products. If the sum of the first weight products is greater than the sum of the third weight products, it means that the target induced symptoms are less likely to occur in the easily induced duration after the first discharge duration, that is, the probability that the patient to be followed up will eventually develop the target induced symptoms due to drug side effects is low. The inconsistency may be due to the poor accuracy of the target population type, so it is readjusted. A feasible adjustment method is to obtain the optimal population type sent by the patient terminal and replace it with the target population type.

[0043] See also Figure 2 The present application embodiment discloses a flowchart of another virtual doctor follow-up management method, which can be implemented by a computer program or run on a virtual doctor follow-up management system based on the von Neumann system. The computer program can be integrated into an application or run as an independent tool application, specifically including: S201: Obtain the target population type and target disease type of the patients to be followed up.

[0044] S202: Determine a target follow-up plan for the patient to be followed up at the current time based on the easily induced symptoms of drug side effects of the target historical follow-up patient and the corresponding easily induced duration.

[0045] S203: Sending a follow-up message to a patient terminal of the patient to be followed up according to the target follow-up plan.

[0046] S204: Determine whether the condition of the patient to be followed up is abnormal based on the feedback information sent by the patient terminal.

[0047] For details, please refer to steps S101-S104, which will not be described in detail here.

[0048] S205: If yes, obtain the historical abnormality type corresponding to the target disease type, count the third occurrence times of each historical abnormality type, and select the historical abnormality type with the third number from each historical abnormality type in descending order of the third occurrence times to determine as the abnormality prone to occur.

[0049] S206: Count the fourth number of occurrences of each historical patient's historical discomfort symptom that is prone to abnormalities, and select the fourth number of historical discomfort symptoms from each historical discomfort symptom in descending order of the fourth number of occurrences and determine them as the corresponding prone symptom that is prone to abnormalities.

[0050] S207: Determine the third weight of each prone abnormality and the corresponding fourth weight of the prone symptom.

[0051] Specifically, if it is determined based on the feedback information that the condition of the patient to be followed up is abnormal, then based on the follow-up records of historical patients of the target disease type, the abnormal condition types that have occurred in each historical patient after the completion of hospital treatment are obtained, that is, the historical abnormality types corresponding to the target disease type. The third number of occurrences of each historical abnormality type is counted. The larger the third number of occurrences, the more likely the patient of the target disease type is to have the corresponding historical abnormality type. Then, in the order of the third number of occurrences from large to small, the third number of historical abnormality types are selected from each historical abnormality type to be determined as an abnormality prone to occur, that is, an abnormality type prone to occur. Further, the fourth number of occurrences of each historical patient's accompanying historical discomfort symptoms when prone to occur is counted. The larger the fourth number of occurrences, the more likely the corresponding historical discomfort symptoms are to occur when prone to occur. Then, in the order of the fourth number of occurrences from large to small, the fourth number of historical discomfort symptoms are selected from each historical discomfort symptom and determined as the corresponding abnormal symptom prone to occur, that is, the discomfort symptom prone to occur.

[0052] Further, the third weight of each prone abnormality and the fourth weight of the corresponding prone symptom are calculated, the third weight being the ratio of the third occurrence number of each prone abnormality to the sum of the third occurrence numbers of all prone abnormalities, and the fourth weight being the ratio of the fourth occurrence number of a single prone symptom corresponding to the prone abnormality to the sum of the fourth occurrence numbers of all corresponding prone symptoms.

[0053] S208: Adjust the target follow-up plan based on the third weight and the corresponding fourth weight.

[0054] Specifically, the feedback information also includes the actual discomfort symptoms described by the patients to be followed up, and the prone symptoms among the actual discomfort symptoms are determined as the actual discomfort symptoms, and the prone abnormalities corresponding to each actual discomfort symptom are determined as the actual abnormalities, that is, the corresponding prone symptoms include the prone abnormalities of the actual discomfort symptoms.

[0055] Further, the sum of the fourth weight products of the third weight of each actual abnormality and the fourth weight of each corresponding actual discomfort symptom is calculated. The larger the sum of the fourth weight products is, the greater the possibility that the corresponding actual abnormality occurs in the patient to be followed up. Further, the sum of the fourth weight products corresponding to each actual abnormality is summed to obtain the final sum of products. The larger the final sum of products is, the greater the possibility that the overall condition of the patient to be followed up is abnormal. If the final sum of products is greater than the preset product sum threshold, it means that the patient to be followed up is likely to have an abnormal condition, and the judgment result of whether the condition is abnormal according to the feedback information in step S204 is verified to ensure the accuracy of the result.

[0056] Finally, the actual abnormality corresponding to the maximum sum of the fourth weighted products in the sum of the fourth weighted products is determined as the final abnormal condition of the patient to be followed up, that is, the most likely abnormal condition. Further, according to this final abnormal condition, the target follow-up plan is adjusted. In the embodiment of the present application, a feasible adjustment method is: based on the professional doctor's rating of this final abnormal condition, the higher the rating, the more attention is needed, and the corresponding follow-up frequency is relatively higher. The content of the follow-up also adds inquiries about the final abnormal condition and online targeted guidance. Exemplarily, the rating is divided into 1 to 5 levels. For a rating of 1, the follow-up frequency increases by 1 time a month; for a rating of 2, the follow-up frequency increases by 2 times a month, and so on.

[0057] The implementation principle of a virtual doctor's follow-up management method in an embodiment of the present application is: determine the easily induced symptoms and corresponding easily induced duration of the target historical follow-up patients with the same disease type, population type and compounded drugs as the patient to be followed up, so as to analyze the generation of the discomfort symptoms of the drug side effects of the patient to be followed up at the current time, and then determine the understanding plan for the corresponding discomfort symptoms, so as to determine a target follow-up plan that is more in line with the specific disease condition of the patient to be followed up. Furthermore, based on the target follow-up plan, a follow-up message is sent to the patient terminal of the patient to be followed up, so as to track the specific disease condition. Finally, according to the feedback information, it is analyzed whether the patient to be followed up has discomfort symptoms caused by normal drug side effects or abnormal condition. If it is determined that the condition is abnormal, the original target follow-up plan may no longer be applicable and needs to be adjusted, so that the follow-up of the follow-up patients is more targeted, the personalization of the follow-up service is improved, and the follow-up service experience of the patients is improved.

[0058] The following is an embodiment of the device of the present application, which can be used to execute the embodiment of the method of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method of the present application.

[0059] See also Figure 3, is a schematic diagram of the structure of the virtual doctor follow-up management system provided in the embodiment of the present application. The system includes The information acquisition module 11 is used to obtain the target population type and target disease type of the patients to be followed up; The plan determination module 12 is used to determine the target follow-up plan for the patient to be followed up at the current time according to the easily induced symptoms of the drug side effects of the target historical follow-up patient and the corresponding easily induced duration, the population type of the target historical follow-up patient is the same as the target population type, the medication taken is the same as the patient to be followed up, and the disease type is the same as the target disease type, the easily induced symptoms are the discomfort symptoms easily induced by the side effects of taking the drugs, the easily induced duration is the discharge time when the easily induced symptoms are likely to occur, and the target follow-up plan includes a plan for understanding the discomfort symptoms caused by the drug side effects at the current time; A message follow-up module 13, used for sending a follow-up message to a patient terminal of a patient to be followed up according to a target follow-up plan; The plan adjustment module 14 is used to determine whether the condition of the patient to be followed up is abnormal according to the feedback information sent by the patient terminal. If so, the target follow-up plan is adjusted. The feedback information is the feedback on the discomfort symptoms generated.

[0060] Optionally, the plan determination module 12 is specifically used for: The first occurrence times of historical discomfort symptoms of drug side effects of the target historical follow-up patients are counted, and the first historical discomfort symptom is selected from each historical discomfort symptom in descending order of the first occurrence times to be determined as the easily induced symptom; Obtain the historical discharge duration corresponding to the occurrence of each inducible symptom, and count the second occurrence times of each historical discharge duration; According to the order of the second occurrence frequency from large to small, the historical discharge duration of the second number is selected from each historical discharge duration and determined as the corresponding inducible duration of the inducible symptom; Calculate the first weight of each easily induced symptom and the second weight of the corresponding easily induced duration, the first weight being the ratio of the first occurrence number of each easily induced symptom to the sum of the first occurrence numbers of all easily induced symptoms, and the second weight being the ratio of the second occurrence number of a single easily induced duration corresponding to the easily induced symptom to the sum of the second occurrence numbers of all corresponding easily induced durations; According to each first weight and the corresponding second weight, a target follow-up plan for the patient to be followed up at the current time is determined.

[0061] Optionally, the plan determination module 12 is specifically used for: Calculate the first discharge duration between the current time and the discharge time of the patient to be followed up, and determine the easily induced symptoms that exist in the first discharge duration in the corresponding easily induced duration as the key induced symptoms; Calculate the first weight product of the first weight of each key induced symptom and the second weight of the corresponding first discharge duration, and select the maximum first weight product from each first weight product; The key induced symptom corresponding to the maximum first weight product is determined as the target induced symptom, and the care items corresponding to the occurrence of the target induced symptom at the current time are added to the initial follow-up plan to obtain the target follow-up plan.

[0062] Optionally, the plan adjustment module 14 is specifically used for: If the target induced symptom is determined to occur according to the feedback information sent by the patient terminal, the actual occurrence time of the target induced symptom of the patient to be followed up is obtained; When the actual occurrence time is not the current time, the second weight product of the first weight of the target induced symptom and the second weight of each corresponding induced duration is calculated, and the maximum second weight product is selected from each second weight product; Determine the second discharge time between the actual occurrence time and the discharge time of the patient to be followed up, and when the second discharge time is not the easily inducible time corresponding to the maximum second weight product, determine the easily inducible symptoms that have the second discharge time in the corresponding easily inducible time as other easily inducible symptoms; The third weight product of the first weight of other easily induced symptoms and the second weight of the corresponding second discharge time is calculated. If the third weight product is greater than the maximum second weight product, it is determined that the condition of the patient to be followed up is abnormal.

[0063] Optional, such as Figure 4 As shown, the system further includes a type adjustment module 15, which is specifically used for: If it is determined according to the feedback information sent by the patient terminal that the target induced symptom has not occurred, then the weight product sum of the first weight of each easily induced symptom and the corresponding second weight of each easily induced duration is calculated; When the sum of the weight products corresponding to the target induced symptoms is the largest, the easily induced duration corresponding to the target induced symptoms that is shorter than the first discharge duration is determined as the first duration; Calculate the sum of the first weight products of the first weight of the target induced symptom and the second weights of the corresponding first durations; Determine the easily inducible durations of each easily inducible duration corresponding to the target induced symptom that is greater than the first discharge duration as the second duration, and calculate the sum of the second weight products of the first weight of the target induced symptom and the second weights of each corresponding second duration; The sum of the second weight products is summed with the maximum first weight product to obtain the sum of the third weight products. If the sum of the first weight products is greater than the sum of the third weight products, the target population type of the patients to be followed up is adjusted.

[0064] Optionally, the plan adjustment module 14 is specifically used for: If yes, then obtain the historical abnormality type corresponding to the target disease type, count the third occurrence times of each historical abnormality type, and select the historical abnormality type with the third number from each historical abnormality type in descending order of the third occurrence times to determine it as a prone abnormality; Counting the fourth occurrence times of each historical discomfort symptom of each historical patient prone to abnormality, selecting the fourth number of historical discomfort symptoms from each historical discomfort symptom in descending order of the fourth occurrence times and determining them as the corresponding prone symptom prone to abnormality; Determine a third weight of each prone abnormality and a fourth weight of the corresponding prone symptom, the third weight being a ratio of the third occurrence number of each prone abnormality to the sum of the third occurrence numbers of all prone abnormalities, and the fourth weight being a ratio of the fourth occurrence number of a single prone symptom corresponding to the prone abnormality to the sum of the fourth occurrence numbers of all corresponding prone symptoms; Based on the third weight and the corresponding fourth weight, the target follow-up plan is adjusted.

[0065] Optionally, the plan adjustment module 14 is specifically used for: Determine the easily occurring symptoms actually occurring in the patient to be followed up as the actual discomfort symptoms, determine the easily occurring abnormality corresponding to each actual discomfort symptom as the actually occurring abnormality, and calculate the sum of the fourth weight product of the third weight of each actually occurring abnormality and the fourth weight of the corresponding actual discomfort symptom; The sums of the fourth weighted products are summed to obtain a final product sum, and if the final product sum is greater than a preset product sum threshold, the actual abnormality corresponding to the maximum fourth weighted product sum among the fourth weighted product sums is determined as the final condition abnormality of the patient to be followed up; The target follow-up plan was adjusted according to the final abnormal condition.

[0066] It should be noted that the virtual doctor follow-up management system provided in the above embodiment only uses the division of the above functional modules as an example when executing the virtual doctor follow-up management method. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the virtual doctor follow-up management system provided in the above embodiment and the virtual doctor follow-up management method embodiment belong to the same concept. The implementation process is detailed in the method embodiment and will not be repeated here.

[0067] An embodiment of the present application further discloses a computer-readable storage medium, and the computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, a virtual doctor follow-up management method of the above embodiment is adopted.

[0068] Among them, the computer program can be stored in a computer-readable medium, the computer program includes computer program code, the computer program code can be in the form of source code, object code, executable file or certain middleware, etc. The computer-readable medium includes any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the computer-readable medium includes but is not limited to the above-mentioned components.

[0069] Among them, through this computer-readable storage medium, a virtual doctor follow-up management method of the above embodiment is stored in a computer-readable storage medium, and is loaded and executed on a processor to facilitate the storage and application of the above method.

[0070] An embodiment of the present application also discloses an electronic device, in which a computer program is stored in a computer-readable storage medium. When the computer program is loaded and executed by a processor, the above-mentioned virtual doctor follow-up management method is adopted.

[0071] The electronic device may be a desktop computer, a laptop computer, a cloud server or other electronic device, and the electronic device includes but is not limited to a processor and a memory. For example, the electronic device may also include input and output devices, a network access device, and a bus.

[0072] Among them, the processor can adopt a central processing unit (CPU). Of course, according to actual usage, other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. can also be adopted. The general-purpose processor can adopt a microprocessor or any conventional processor, etc., and this application does not impose any restrictions on this.

[0073] Among them, the memory can be an internal storage unit of the electronic device, such as a hard disk or memory of the electronic device, or it can be an external storage device of the electronic device, such as a plug-in hard disk, a smart memory card (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the electronic device. Moreover, the memory can also be a combination of an internal storage unit and an external storage device of the electronic device. The memory is used to store computer programs and other programs and data required by the electronic device. The memory can also be used to temporarily store data that has been output or is to be output, and this application does not impose any restrictions on this.

[0074] Among them, through this electronic device, a virtual doctor follow-up management method of the above embodiment is stored in the memory of the electronic device, and is loaded and executed on the processor of the electronic device for easy use.

[0075] The above is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure cannot be limited thereto. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the specification and practicing the disclosure here, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field not recorded in the present disclosure. The description and examples are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A virtual doctor follow-up management method, characterized in that: The method comprises: Obtain the target population type and target disease type of patients to be followed up; Determine a target follow-up plan for the patient to be followed up at the current time according to the easily induced symptoms of drug side effects of the target historical follow-up patient and the corresponding easily induced duration, the target historical follow-up patient has the same population type as the target population type, takes the same drugs as the patient to be followed up, and has the same disease type as the target disease type, the easily induced symptoms are discomfort symptoms easily induced by the side effects of taking drugs, the easily induced duration is the discharge time when the easily induced symptoms are likely to occur, and the target follow-up plan includes a plan for understanding the discomfort symptoms caused by drug side effects at the current time; According to the target follow-up plan, sending a follow-up message to the patient terminal of the patient to be followed up; According to the feedback information sent by the patient terminal, it is determined whether the condition of the patient to be followed up is abnormal. If so, the target follow-up plan is adjusted, and the feedback information is feedback on the discomfort symptoms generated.

2. The virtual doctor follow-up management method according to claim 1, characterized in that: The step of determining a target follow-up plan for the patient to be followed up at the current time based on the easily induced symptoms of the drug side effects of the target historical follow-up patient and the corresponding easily induced duration specifically includes: Counting the first occurrence times of historical discomfort symptoms of drug side effects of the target historical follow-up patients, and selecting the first occurrence times of the historical discomfort symptoms from each of the historical discomfort symptoms in descending order as the easily induced symptom; Obtaining the historical discharge duration corresponding to the occurrence of each of the inducible symptoms, and counting the second occurrence number of each of the historical discharge durations; According to the descending order of the second occurrence times, the second historical discharge time is selected from each of the historical discharge times and determined as the corresponding inducible time of the inducible symptom; Calculating a first weight of each of the inducible symptoms and a second weight of the corresponding inducible duration, wherein the first weight is a ratio of a first occurrence number of each inducible symptom to a sum of first occurrence numbers of all inducible symptoms, and the second weight is a ratio of a second occurrence number of a single inducible duration corresponding to the inducible symptom to a sum of second occurrence numbers of all corresponding inducible durations; According to each of the first weights and the corresponding second weights, a target follow-up plan for the patient to be followed-up at the current time is determined.

3. The virtual doctor follow-up management method according to claim 2, characterized in that: Determining a target follow-up plan for the patient to be followed-up at the current time according to each of the first weights and the corresponding second weights specifically includes: Calculating a first discharge duration between the current time and the discharge time of the patient to be followed up, and determining the easily induced symptoms that exist in the first discharge duration in the corresponding easily induced duration as key induced symptoms; Calculate the first weight product of the first weight of each of the key induced symptoms and the second weight of the corresponding first discharge time, and select the maximum first weight product from each of the first weight products; The key induced symptom corresponding to the maximum first weight product is determined as the target induced symptom, and the care items corresponding to the occurrence of the target induced symptom at the current time are added to the initial follow-up plan to obtain the target follow-up plan.

4. The virtual doctor follow-up management method according to claim 3, characterized in that: The step of determining whether the condition of the patient to be followed up is abnormal according to the feedback information sent by the patient terminal specifically includes: If it is determined that the target induced symptom occurs according to the feedback information sent by the patient terminal, then obtaining the actual occurrence time of the target induced symptom of the patient to be followed up; When the actual occurrence time is not the current time, calculating the second weight product of the first weight of the target induced symptom and the second weight of each corresponding easily induced duration, and selecting the maximum second weight product from each of the second weight products; Determine a second discharge time between the actual occurrence time and the discharge time of the patient to be followed up, and when the second discharge time is not the easily inducible time corresponding to the maximum second weight product, determine the easily inducible symptoms that exist in the second discharge time in the corresponding easily inducible time as other easily inducible symptoms; The third weight product of the first weight of the other easily-inducible symptoms and the second weight of the corresponding second discharge time is calculated. If the third weight product is greater than the maximum second weight product, it is determined that the condition of the patient to be followed up is abnormal.

5. The virtual doctor follow-up management method according to claim 3, characterized in that: The method further comprises: If it is determined according to the feedback information sent by the patient terminal that the target induced symptom has not occurred, then calculating the sum of the weight products of the first weight of each of the easily induced symptoms and the second weight of each corresponding easily induced duration; When the sum of the weight products corresponding to the target induced symptoms is the largest, determining the easily induced durations corresponding to the target induced symptoms that are shorter than the first discharge duration as the first duration; Calculate the sum of the first weight products of the first weight of the target induced symptom and the second weights of the corresponding first durations; Determine the easily inducible duration that is greater than the first discharge duration among the easily inducible durations corresponding to the target induced symptom as the second duration, and calculate the sum of the second weight products of the first weight of the target induced symptom and the second weights of the corresponding second durations; The sum of the second weight products and the maximum first weight product are summed to obtain the sum of the third weight products. If the sum of the first weight products is greater than the sum of the third weight products, the target population type of the patients to be followed up is adjusted.

6. The virtual doctor follow-up management method according to claim 1, characterized in that: If so, the target follow-up plan is adjusted, including: If yes, then obtain the historical abnormality type corresponding to the target disease type, count the third occurrence times of each of the historical abnormality types, and select the historical abnormality type with the third number from each of the historical abnormality types in descending order of the third occurrence times to determine as the abnormality prone to occur; Counting the fourth number of occurrences of the historical discomfort symptoms of each of the historical patients prone to abnormalities, selecting the fourth number of historical discomfort symptoms from each of the historical discomfort symptoms in descending order of the fourth number of occurrences and determining them as the corresponding prone symptoms; Determine a third weight of each of the prone abnormalities and a fourth weight of the corresponding prone symptom, wherein the third weight is a ratio of a third occurrence number of each prone abnormality to the sum of the third occurrence numbers of all prone abnormalities, and the fourth weight is a ratio of a fourth occurrence number of a single prone symptom corresponding to the prone abnormality to the sum of the fourth occurrence numbers of all corresponding prone symptoms; Based on the third weight and the corresponding fourth weight, the target follow-up plan is adjusted.

7. The virtual doctor follow-up management method according to claim 6, characterized in that: The adjusting the target follow-up plan based on the third weight and the corresponding fourth weight specifically includes: Determine the easily occurring symptoms actually occurring in the patient to be followed up as actual discomfort symptoms, determine the easily occurring abnormalities corresponding to each actual discomfort symptom as actual abnormalities, and calculate the sum of the fourth weight products of the third weight of each actual abnormality and the fourth weight of the corresponding actual discomfort symptom; Summing the sums of the fourth weighted products to obtain a final product sum, and if the final product sum is greater than a preset product sum threshold, determining the actual abnormality corresponding to the maximum sum of the fourth weighted products among the sums of the fourth weighted products as the final abnormality of the condition of the patient to be followed up; The target follow-up plan is adjusted according to the final abnormal condition.

8. A virtual doctor follow-up management system, characterized in that: include: An information acquisition module (11) is used to obtain the target population type and target disease type of the patients to be followed up; A plan determination module (12) is used to determine a target follow-up plan for the patient to be followed up at the current time based on the easily induced symptoms of the drug side effects of the target historical follow-up patient and the corresponding easily induced duration, wherein the population type of the target historical follow-up patient is the same as the target population type, the medication taken is the same as the patient to be followed up, and the disease type is the same as the target disease type, the easily induced symptoms are the discomfort symptoms easily induced by the side effects of taking the drugs, the easily induced duration is the discharge time when the easily induced symptoms are likely to occur, and the target follow-up plan includes a plan for understanding the discomfort symptoms caused by the drug side effects at the current time; A message follow-up module (13), used for sending a follow-up message to a patient terminal of the patient to be followed up according to the target follow-up plan; A plan adjustment module (14) is used to determine whether the condition of the patient to be followed up is abnormal based on the feedback information sent by the patient terminal, and if so, adjust the target follow-up plan, wherein the feedback information is feedback on the discomfort symptoms generated.

9. A computer-readable storage medium having a computer program stored therein, characterized in that: When the computer program is loaded and executed by a processor, the method according to any one of claims 1 to 7 is adopted.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor loads and executes the computer program, the method according to any one of claims 1 to 7 is adopted.

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