Follow-up visit management method and system for otolaryngological patients

By dynamically adjusting the follow-up management strategy of otolaryngology patients, and judging the necessity of follow-up based on the severity of the disease and perceived ability, the problems of wasted resources and inaccurate notifications in the existing management methods were solved, and more efficient follow-up management was achieved.

CN120356704AInactive Publication Date: 2025-07-22QINGDAO YOURUIDA BIOTECHNOLOGY CO LTD +1
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Patent Information

Application Number
CN202510575365.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-06
Publication Date
2025-07-22
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing follow-up management methods of otolaryngology patients are too fixed, resulting in waste of resources and increased workload, and the inability to effectively allocate medical notification resources.

Method used

By obtaining the patient's follow-up date, basic information and follow-up information, we can judge the severity of the disease and the necessity of follow-up, and dynamically adjust the follow-up notification strategy to reduce invalid notifications.

Benefits of technology

It improves the convenience and efficiency of follow-up management of otolaryngology patients, reduces resource waste, and ensures the accuracy of medical notifications and patient health.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a follow-up visit management method and system for otolaryngological patients, and relates to the technical field of follow-up visit management. The method comprises the steps of obtaining a target patient of the otolaryngology department, collecting a follow-up visit date of the target patient, and judging whether the follow-up visit date is expired or not; if the follow-up visit date expires, basic information of the target patient is collected, and the severity of the illness state of the target patient is judged; acquiring follow-up information, and analyzing to obtain follow-up necessity of the target patient according to the follow-up information and the disease severity; whether the follow-up visit necessity reaches a preset necessity threshold value or not is judged, and if the follow-up visit necessity reaches the preset necessity threshold value, personal information of the target patient is obtained; analyzing according to the personal information to obtain the follow-up probability of the target patient, and recording the follow-up probability as the patient follow-up probability; and if the patient follow-up probability is not greater than the preset probability threshold, notifying the patient to follow up. The convenience of follow-up visit management of the otolaryngology department patient is improved.
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Description

Technical Field

[0001] This application relates to the technical field of follow-up management, and in particular, to a follow-up management method and system for patients in the otolaryngology department. Background Art

[0002] Follow-up refers to an observation method in which a hospital communicates with or otherwise regularly understands the condition changes of patients who have visited the hospital and guides the patients' recovery. Through follow-up, the hospital service level can be improved. At the same time, it is convenient for doctors to track and observe patients, master first-hand information for statistical analysis and experience accumulation. It is also conducive to the development of medical scientific research and the improvement of the professional level of medical workers, so as to better serve patients. For otolaryngology patients, follow-up is also very important, and through follow-up, the medical service and quality of life of patients can be improved. At present, the follow-up management of otolaryngology patients generally relies on fixed follow-up dates for management. This management method is too fixed, and the number of patients in the hospital is too large. Conducting such processing for all patients will waste a lot of resources and increase the workload of the hospital. Summary of the Invention

[0003] The purpose of the present invention is to provide a follow-up management method and system for otolaryngology patients to solve the problems raised in the above background art.

[0004] In the first aspect, a follow-up management method for otolaryngology patients provided by this application adopts the following technical solutions: Obtain the target patients in the otolaryngology department, collect the follow-up dates of the target patients, and determine whether the follow-up dates have expired; If the follow-up date has expired, collect the basic information of the target patient, and determine the severity of the target patient's condition based on the basic information; Obtain the follow-up information, and analyze the follow-up necessity of the target patient based on the follow-up information and the severity of the condition; Determine whether the follow-up necessity reaches a preset necessity threshold. If it reaches the necessity threshold, obtain the personal information of the target patient; Analyze the probability of the target patient participating in the follow-up based on the personal information and record it as the patient follow-up probability; If the patient follow-up probability is not greater than the preset probability threshold, notify the patient of the follow-up.

[0005] Preferably, the step of if the follow-up date has expired, collect the basic information of the target patient, and determine the severity of the target patient's condition based on the basic information is specifically: Collect the basic information of the target patient, and the basic information includes otolaryngology condition information and basic condition information; Analyze the first severity of the condition based on the otolaryngology condition information; The basic disease type is extracted according to the basic disease information, and the number of basic disease types affected by otolaryngology diseases is counted and recorded as the influence quantity. The human health standard is obtained, the difference degree between the basic disease information and the human health standard is compared, the second disease severity is obtained by combining the influence quantity, and the disease severity of the target patient is obtained by superimposing the first disease severity.

[0006] Preferably, the step of analyzing the first disease severity according to the otolaryngology disease information is specifically as follows: Judge whether the otolaryngology disease has a recovery period according to the otolaryngology disease information. If it has a recovery period, obtain the range of the recovery periods of all otolaryngology diseases. The first disease severity is obtained according to the ratio of the duration of the recovery period to the duration of the range of the recovery periods. If there is no recovery period, it is judged whether the otolaryngology disease continuously affects the life of the target patient. If it continuously affects the life of the target patient, the first disease severity is obtained by using the visual analogue scale. If it does not continuously affect the life of the target patient, the ratio of the average duration affecting the life of the target patient to the total duration of one year is counted as the first disease severity.

[0007] Preferably, the step of obtaining the follow-up information and analyzing the follow-up necessity of the target patient according to the follow-up information and the disease severity is specifically as follows: The follow-up information is obtained, and the follow-up information includes follow-up examination work and follow-up inquiry information. Judge whether the follow-up examination work must be completed in the hospital. If it must be completed in the hospital, the necessity of the examination work is obtained according to the first disease severity as the follow-up necessity. If the follow-up examination work does not have to be completed in the hospital, the follow-up inquiry features are extracted according to the follow-up inquiry information. The perception information of the target patient is obtained, the perception accuracy of the target patient for the follow-up inquiry features is judged according to the perception information, and the perception error degree is obtained according to the perception accuracy as the follow-up necessity.

[0008] Preferably, the step of judging whether the follow-up examination work must be completed in the hospital. If it must be completed in the hospital, the necessity of the examination work is obtained according to the first disease severity as the follow-up necessity is specifically as follows: Search for the patient records with the same otolaryngology disease information and the same first disease severity as the target patient, and extract and count the examination frequency of the follow-up examination work according to the patient records. Determine whether the inspection frequency is 100%. If the inspection frequency is not 100%, obtain the medical records of the target patient's otolaryngology condition; Count the proportion of the target patient's adoption of doctor's advice in the medical records as the inspection willingness, and calculate the follow-up necessity by combining the inspection frequency and the inspection willingness; If the inspection frequency is 100%, use the inspection frequency as the follow-up necessity.

[0009] Preferably, the steps of obtaining the perception information of the target patient, judging the perception accuracy of the target patient for the follow-up inquiry characteristics according to the perception information, and obtaining the perception error degree as the follow-up necessity are specifically as follows: Obtain the perception information of the target patient, where the perception information includes the patient's age and personal perception information; Establish an association curve between age and perception ability value, and find the corresponding perception ability value according to the patient's age and the association curve, denoted as the patient's perception value; Obtain the perception difficulty of the follow-up inquiry characteristics, and analyze the judgment accuracy of the follow-up inquiry characteristics of the target patient in combination with personal perception information; Comprehensively obtain the perception accuracy of the target patient by combining the patient's perception value and the judgment accuracy, and obtain the perception error degree as the follow-up necessity according to the perception accuracy.

[0010] Preferably, the steps of obtaining the perception difficulty of the follow-up inquiry characteristics and analyzing the judgment accuracy of the follow-up inquiry characteristics of the target patient in combination with personal perception information are specifically as follows: Extract the condition information at the target patient's first visit according to the otolaryngology condition information and denote it as the first visit information; Obtain the type of the target patient's condition according to the otolaryngology condition information, and collect the average discovery time of the condition type; Extract the patient's discovery time of the condition according to the first visit information, and calculate the time difference between the average discovery time and the patient's discovery time; Obtain the historical inquiry data of the follow-up inquiry characteristics, and extract the patient's judgment error rate of the follow-up inquiry characteristics from the historical inquiry data as the perception difficulty; Collect the historical follow-up accuracy rate of the target patient, and comprehensively obtain the judgment accuracy of the follow-up inquiry characteristics of the target patient by combining the time difference and the perception difficulty.

[0011] Preferably, the steps of analyzing according to personal information to obtain the probability of the target patient participating in the follow-up and denoting it as the patient's follow-up probability are specifically as follows: Obtain the historical follow-up records of the target patient, and count the probability of the target patient's punctual follow-up according to the historical follow-up records and denote it as the first probability; Obtain the degree of attention of the target patient to the condition, and combine with the severity of the condition to obtain the second probability of the target patient participating in the follow-up; Extract the frequency of the target patient changing hospitals according to the historical follow-up records to obtain the third probability of the target patient participating in the follow-up; Calculate the average value of the first probability, the second probability, and the third probability as the patient follow-up probability.

[0012] Preferably, the step of extracting the frequency of the target patient changing hospitals according to the historical follow-up records to obtain the third probability of the target patient participating in the follow-up is specifically as follows: Judge whether the target patient has changed hospitals according to the historical follow-up records of otolaryngology. If the target patient has not changed hospitals, then count the frequency of the target patient changing hospitals; Statistically analyze the average severity of the condition when the target patient stops following up at the initial hospital according to the historical follow-up records; Calculate the difference between the average severity and the first severity of the condition as the stop follow-up value of the target patient; Comprehensively combine the change frequency and the stop follow-up value to obtain the third probability of the target patient participating in the follow-up.

[0013] In a second aspect, a follow-up management system for otolaryngology patients provided by the present application adopts the following technical solution: A follow-up management system for otolaryngology patients includes: An expiration judgment module, which obtains the target patient of otolaryngology, collects the follow-up date of the target patient, and judges whether the follow-up date has expired; A disease severity module, if the follow-up date has expired, then collect the basic information of the target patient, and judge the severity of the condition of the target patient according to the basic information; A follow-up necessity module, which obtains the follow-up information, and analyzes the follow-up necessity of the target patient according to the follow-up information and the severity of the condition; A personal information module, which judges whether the follow-up necessity reaches a preset necessity threshold. If it reaches the necessity threshold, then obtain the personal information of the target patient; A follow-up probability module, which analyzes the probability of the target patient participating in the follow-up according to the personal information and records it as the patient follow-up probability; A notification management module, if the patient follow-up probability is not greater than a preset probability threshold, then notify the patient to follow up.

[0014] In summary, the present application includes at least one of the following beneficial technical effects: 1. For patients who have not come for a follow-up visit after the follow-up date has expired, based on their otolaryngology condition information, different assessment methods are given to confirm the severity of the patients' otolaryngology diseases in different situations, such as whether the condition has a recovery period and whether the condition continuously affects the patients' lives. Then, by combining the conditions of the patients' other underlying diseases, the severity of the patients' conditions is analyzed. The necessity of the patients' follow-up is confirmed using the severity of the patients' conditions and the follow-up information. For patients who need to be followed up and have a low probability of coming for a follow-up visit on their own, follow-up notifications are sent. While ensuring the health of the patients as much as possible, ineffective notifications are effectively reduced, the efficiency of the hospital's follow-up notification management is improved, and the convenience of the follow-up management of otolaryngology patients is enhanced.

[0015] 2. Determine whether the follow-up examination work must be completed in the hospital. If it must be completed in the hospital, the necessity of follow-up is confirmed based on the otolaryngology condition information and the examination frequency and willingness of the follow-up examination work in the records of patients with the same first disease severity. If it is not necessary to be completed in the hospital, the perception ability of the corresponding patients to their bodies is found according to the patients' ages, and the judgment accuracy comprehensively obtained from the perception difficulty of the follow-up inquiry characteristics during the follow-up process and the time when the patients perceive their conditions is used to confirm the necessity of the patients' follow-up. Judging whether it is necessary for the patients to have a follow-up is conducive to the follow-up notification management of patients with a high necessity of follow-up, reducing the omission of follow-up notifications caused by insufficient follow-up management resources, and thus reducing the impact on the patients' health caused by the follow-up notifications. Medical notification resources are more accurately allocated, and the efficiency of the follow-up management of otolaryngology patients is improved.

[0016] 3. Take the on-time follow-up probability of the target patient as the first probability, estimate the second probability from the degree of attention to the condition and the severity of the condition, and confirm the probability of the patient coming to the hospital for a follow-up on their own by combining the probability of the patient changing the hospital for treatment statistically from the historical follow-up records and the probability of stopping going to the hospital under the first disease severity. Confirming the patients' follow-up probability is conducive to reducing some unnecessary follow-up notifications, effectively reducing the workload of hospital staff, more precisely using resources to achieve follow-up management, making the follow-up notifications more effective, and improving the effectiveness of the follow-up management of otolaryngology patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a schematic diagram of the specific steps of an embodiment of a follow-up management method for otolaryngology patients of the present invention.

[0018] Figure 2 is a schematic diagram of the module connection of an embodiment of a follow-up management system for otolaryngology patients of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The following is combined with the embodiments and Figure 1 - Figure 2The present invention will be further described in detail, but the implementation manners of the present invention are not limited thereto.

[0020] The present invention discloses a follow-up management method for otolaryngology patients, which specifically includes the following steps: Step S1, obtain the target patients in otolaryngology, collect the follow-up dates of the target patients, and determine whether the follow-up dates have expired.

[0021] If the follow-up date has not expired, the target patient will not be notified of the follow-up temporarily.

[0022] Step S2, if the follow-up date has expired, collect the basic information of the target patient, and determine the severity of the target patient's condition based on the basic information.

[0023] Step S3, obtain the follow-up information, and analyze the necessity of follow-up for the target patient based on the follow-up information and the severity of the condition.

[0024] Step S4, determine whether the necessity of follow-up reaches a preset necessity threshold. If it reaches the necessity threshold, obtain the personal information of the target patient.

[0025] If the necessity threshold is reached, it means that the target patient needs to be followed up, otherwise it is easy to affect their own physical health. If the necessity of follow-up for the target patient does not reach the necessity threshold, it means that the patient can be followed up or not, and it has little impact on physical health, so the will of the target patient is respected and no additional follow-up notice is given. The setting of the necessity threshold is set by the user according to the actual situation. For example, if the user wants to further reduce the health problems of patients caused by follow-up, the necessity threshold is set lower, and the user can set it according to actual needs.

[0026] Step S5, analyze the probability of the target patient participating in the follow-up based on the personal information and record it as the patient follow-up probability.

[0027] Step S6, if the patient follow-up probability is not greater than a preset probability threshold, notify the patient of the follow-up.

[0028] If it is determined that the patient needs to be followed up to maintain physical health, the probability of the patient following up by themselves is judged. If the probability of the patient following up by themselves is relatively large, then there is no need to notify the patient of the follow-up, because even if the patient is not notified, they will still follow up. If the follow-up probability of the patient is small and the patient needs to be followed up, so at this time, in order to protect the physical health of the patient, a follow-up notice is required to notify the patient to follow up in time. The probability threshold is also set by the user according to their own needs. When the user hopes that the patient follow-up rate is higher, the probability threshold is lowered.

[0029] In actual application, the treatment of many diseases is not achieved overnight, and regular follow-up and multiple treatments are required. During the follow-up process, some patients do not follow the regular follow-up due to forgetfulness, fear of trouble, etc., and the hospital needs to issue follow-up notifications for the health of the patients. However, there are countless patients in the hospital every day, and it is easy to waste a lot of resources to follow up all patients one by one. At the same time, some patients may delay the follow-up time due to delays. For such patients, there is no need to notify them, and the patients will follow up on their own. In addition, some patients do not need to follow up. For some conditions, doctors only recommend follow-up. Whether to follow up depends on the patient's wishes. Therefore, follow-up notification management based on the necessity and probability of follow-up can effectively reduce unnecessary follow-up notifications, expand the coverage of necessary follow-up notifications, and reasonably use medical resources to manage follow-up notifications.

[0030] If the follow-up date is expired, the basic information of the target patient is collected, and the steps to determine the severity of the target patient's condition based on the basic information are as follows: Step S21, collecting basic information of the target patient, the basic information including ENT condition information and basic condition information.

[0031] Step S22, obtaining a first severity of the disease according to the ENT disease information analysis.

[0032] Step S23, extracting basic condition types according to the basic condition information, counting the number of basic condition types affected by the ENT condition and recording it as the affected number.

[0033] Step S24, obtaining the human health standard, comparing the basic disease information with the human health standard to obtain the difference, combining the impact quantity to obtain the second disease severity, and superimposing the first disease severity to obtain the disease severity of the target patient.

[0034] When the first severity of the disease and the second severity of the disease are superimposed, the data is normalized. For example, if the difference is 20%, the impact number is 2, and the proportional coefficient is set to 4, then the second severity of the disease is 4×2×20%=1.6. After normalization, the second severity of the disease is 32. If the first severity is 40, the severity of the disease of the target patient is 72.

[0035] In practical applications, the basic medical condition information refers to the patient's medical record information. From the patient's medical record information, the medical conditions the patient suffers from can be confirmed. For example, some patients have underlying diseases such as hypertension and diabetes in addition to otolaryngological conditions. And the otolaryngological conditions of patients sometimes also affect the patient's underlying diseases. For example, chronic rhinosinusitis (upper respiratory tract inflammation) and asthma (lower respiratory tract inflammation) are associated through the "one airway, one disease" theory. The inflammatory mediators produced by rhinosinusitis can affect the lower respiratory tract through the blood or nerve reflex, aggravating the symptoms of asthma. Then, the severity of the condition at this time is not only the upper respiratory tract inflammation caused by rhinosinusitis, because rhinosinusitis also affects the patient's own asthma condition, seriously affecting the patient's physical health. Therefore, when counting the severity of the patient's condition, the additional harm caused by otolaryngological conditions also needs to be considered. When the basic medical condition is not affected by otolaryngological conditions, no additional harm is produced, and the second severity of the condition is 0. The similarity between the basic medical condition information and the human health standard is obtained through the cosine similarity model, and the difference degree between the basic medical condition information and the human health standard is obtained according to 1 - similarity.

[0036] The steps for analyzing the first severity of the condition based on otolaryngological condition information are specifically as follows: Step S221: Determine whether the otolaryngological condition has a recovery period according to the otolaryngological condition information. If it has a recovery period, obtain the range of the recovery periods of all otolaryngological conditions.

[0037] For different types of otolaryngological conditions, their recovery periods are also different. Some chronic diseases cannot be completely cured and can only be controlled, so there is no recovery period. While some non - chronic diseases have a range of recovery periods. For example, acute rhinitis generally heals in 7 - 10 days. Both the recovery period and the range of the recovery period take their average values. For example, the average recovery period of acute rhinitis is 8 days.

[0038] Step S222: Obtain the first severity of the condition according to the ratio of the length of the recovery period to the length of the range of the recovery periods.

[0039] The length of the range of the recovery periods refers to the maximum length in the range of the recovery periods of all conditions. For example, if condition A takes 3 months to heal and condition B takes 6 months to heal, then the recovery period is 6 months. The length of the recovery period refers to the length of time required for the condition suffered by the target patient to heal. If the length of the recovery period is 3 months and the length of the range of the recovery periods is 12 months, then the ratio is 25%, and the severity of the condition is 25%.

[0040] Step S223: If there is no recovery period, obtain whether the otolaryngological condition continuously affects the life of the target patient.

[0041] If there is no recovery cycle, chronic diseases will affect the patient's life, because the ears, nose and throat are all commonly used organs of humans. However, some chronic diseases, such as allergic rhinitis, do not always have symptoms that affect the patient's life. Generally, they will affect the patient's life only when there are more catkins and pollen.

[0042] Step S224: If the disease continues to affect the target patient's life, a first disease severity level is obtained using a visual analog scale.

[0043] The Visual Analog Scale (VAS) is a tool that assesses the severity of symptoms by quantifying the patient's subjective feelings, especially for conditions that continue to affect life (such as pain, fatigue, dyspnea, etc.). The severity of the condition is assessed based on the patient's subjective feelings.

[0044] Step S225, if the disease does not continuously affect the target patient's life, the ratio of the average duration of the disease affecting the target patient's life to the total duration of the disease in one year is calculated as the first severity of the disease.

[0045] In actual application, if the target patient's life is not continuously affected, the longer the duration of the impact, the more serious the condition, because the interference to the patient is more serious. After the first severity of the condition obtained in different situations is normalized, a determined first severity of the condition is obtained. Because the characteristics of ENT conditions are different, different severity assessment methods are given according to conditions with different characteristics, which is conducive to obtaining more accurate results that fit the condition.

[0046] The steps to obtain follow-up information and analyze the necessity of follow-up for the target patient based on the follow-up information and the severity of the disease are as follows: Step S31, obtaining follow-up information, which includes follow-up inspection work and follow-up inquiry information.

[0047] Step S32, determining whether the follow-up examination must be completed in the hospital, and if it must be completed in the hospital, obtaining the necessity of the examination work according to the severity of the first disease condition as the necessity of the follow-up.

[0048] Examination work refers to the examinations that need to be done during follow-up visits to the hospital, such as nasal endoscopy, electronic laryngoscopy, etc.

[0049] Step S33: if the follow-up examination does not have to be completed in the hospital, extract the follow-up inquiry features based on the follow-up inquiry information.

[0050] Follow-up inquiry information refers to the information that doctors generally need to ask patients to judge their condition when they go to the hospital for follow-up. Follow-up inquiry characteristics refer to the characteristics of their condition that patients provide to doctors through their own perception, such as whether their nose hurts or whether they can swallow smoothly. These are follow-up inquiry characteristics.

[0051] Step S34: Obtain the perception information of the target patient, judge the perception accuracy of the target patient for the follow-up inquiry features according to the perception information, and obtain the perception error degree based on the perception accuracy and use it as the follow-up necessity.

[0052] In actual application, during the follow-up process, some conditions need to be completed through auxiliary examination means, and some are concluded through doctor's inquiries and examinations. For those that do not need to be completed through hospital examination means, doctors need to ask patients to obtain information related to the condition. Some patients have a high perception accuracy and can detect discomfort in time and seek follow-up medical treatment in time. When some patients have a low perception accuracy, it is difficult to detect discomfort through their own perception. At this time, it is more necessary to go to the hospital for follow-up and treat the condition through the doctor's diagnosis. Take the complement of the perception accuracy as the perception error degree. When the perception error degree is larger, the follow-up necessity of the patient is greater, and it is more necessary to maintain physical health through follow-up. Reduce the delay of the condition caused by inaccurate patient perception and improve the efficiency of the patient's timely medical treatment.

[0053] The step of judging whether the follow-up examination work must be completed in the hospital. If it must be completed in the hospital, then obtain the necessity of the examination work according to the first disease severity as the follow-up necessity, specifically: Step S321: Search for patient records with the same otolaryngology condition information and the same first disease severity as the target patient, and extract and count the examination frequency of the follow-up examination work according to the patient records.

[0054] Not all relevant conditions in otolaryngology examinations need to be examined. Even for the same condition, it does not mean that all patients with the same type of condition need to undergo the same examination. According to the patient records with the same cause and the same severity as the patient, extract the examination frequency. If each patient has undergone the examination, it means that the examination must be carried out.

[0055] Step S322: Judge whether the examination frequency is 100%. If the examination frequency is not 100%, then obtain the medical records of the otolaryngology condition of the target patient.

[0056] Step S323: Count the proportion of the target patient's adoption of the doctor's advice in the medical records as the examination willingness degree, and calculate the follow-up necessity by combining the examination frequency and the examination willingness degree.

[0057] Set the weight ratios of the examination frequency and the examination willingness degree respectively, and calculate the follow-up necessity according to the weight ratios. For example, set the weight ratios of the examination frequency and the examination willingness degree to 50% and 50% respectively, and the examination frequency and the examination willingness degree to 80% and 90% respectively. Then the follow-up necessity is 80%×50% + 90%×50% = 85%.

[0058] Step S324: If the inspection frequency is 100%, then use the inspection frequency as the follow-up necessity.

[0059] In practical applications, if the inspection frequency is 100%, then the follow-up of the patient must be completed through the hospital's inspection means, and the patient must go to the hospital for follow-up visits. Therefore, the follow-up necessity is 100%. If the inspection frequency is not 100%, it means that inspections can be skipped. Although the doctor recommends determining through inspections, the patient's wishes also need to be followed. Therefore, it is necessary to combine the inspection frequency and the patient's wishes to confirm the follow-up necessity. The higher the inspection frequency, the more accurate the judgment of the condition through inspections. And the higher the patient's willingness to be inspected, the more willing the patient is to follow the doctor's advice and undergo inspections, so the follow-up necessity is higher. Because the patient needs to go to the hospital for follow-up visits to have the inspections if they are willing to be inspected, the follow-up necessity is greater. For the follow-up necessities obtained under different circumstances, they are all normalized before being used as the final application data.

[0060] The steps of obtaining the perception information of the target patient, judging the perception accuracy of the target patient for the follow-up inquiry characteristics according to the perception information, and obtaining the perception error degree as the follow-up necessity are specifically as follows: Step S341: Obtain the perception information of the target patient, where the perception information includes the patient's age and personal perception information.

[0061] Step S342: Establish an association curve between age and the perception ability value, and find the corresponding perception ability value according to the patient's age and the association curve, which is recorded as the patient's perception value.

[0062] The visual acuity, depth vision, high-frequency hearing, etc. of the elderly all degenerate significantly. For example, the decline in visual acuity in people over 60 years old may lead to a weakened ability to observe disease signs (such as skin abnormalities). High-frequency hearing loss will affect the recognition of speech and indirectly weaken the perception of disease symptoms. Therefore, the older the patient, the worse their perception ability and the more difficult it is to perceive physical abnormalities.

[0063] Step S343: Obtain the perception difficulty of the follow-up inquiry characteristics, and analyze the judgment accuracy of the follow-up inquiry characteristics of the target patient in combination with personal perception information.

[0064] Step S344: Comprehensively obtain the perception accuracy of the target patient by combining the patient's perception value and the judgment accuracy, and obtain the perception error degree as the follow-up necessity according to the perception accuracy.

[0065] In actual application, the proportionality coefficients of the patient perception value and the judgment accuracy are set respectively, and the perception accuracy of the target patient is calculated according to the proportionality coefficients. For example, if the proportionality coefficients of the patient perception value and the judgment accuracy are set to 30% and 70% respectively, and the patient perception value and the judgment accuracy are 70 and 60 respectively, then the perception accuracy is 70×30% + 60×70% = 63%, and the perception error rate is 1 - 63% = 27%. When the patient perception value is larger, it is easier to accurately perceive physical abnormalities, the judgment ability is stronger, the judgment accuracy is higher, and the perception accuracy is also higher. The higher the perception accuracy, the lower the corresponding perception error rate and the lower the necessity for follow-up, because the patient can accurately perceive and judge physical abnormalities according to their own perception ability, so as to seek medical treatment in time and does not necessarily need to seek medical treatment through follow-up. For example, if there are no special abnormalities after surgery, follow-up may not be required, while if the patient's perception ability is weak, follow-up is needed for the doctor to judge whether the patient has recovered. Patients with strong perception ability can perceive whether they have recovered by themselves.

[0066] The steps of obtaining the perception difficulty of the follow-up inquiry feature and analyzing the judgment accuracy of the follow-up inquiry feature of the target patient in combination with personal perception information are specifically as follows: Step S3431, extract the disease information of the target patient at the first visit according to the otolaryngology disease information and record it as the first visit information.

[0067] The first visit information refers to the first visit information of the patient for otolaryngology diseases. For example, if a patient has otitis media, the information of the first visit due to otitis media.

[0068] Step S3432, obtain the disease types of the target patient according to the otolaryngology disease information, and collect the average discovery time of the disease types.

[0069] For example, if the patient has otitis media, collect the time when the condition occurred at the first visit of all patients with otitis media, that is, the time from the occurrence of the condition to the discovery of the condition by the patient, and calculate the average value as the average discovery time. For example, the average discovery time of secretory otitis media is 3 weeks (21 days).

[0070] Step S3433, extract the patient discovery time when the target patient discovers the disease according to the first visit information, and calculate the time difference between the average discovery time and the patient discovery time.

[0071] Step S3434, obtain the historical inquiry data of the follow-up inquiry feature, and extract the patient judgment error rate of the follow-up inquiry feature from the historical inquiry data as the perception difficulty.

[0072] The perceived difficulty of all follow-up inquiry features is not the same. Some follow-up inquiry features have a lower perceived difficulty, such as whether the throat hurts. While some follow-up inquiry features have a greater perceived difficulty, such as the loudness of the sound that the ear can perceive. Since most patients do not accurately master decibels and it is difficult to distinguish between high and low tones, the error rate of judgment for such follow-up inquiry features will be greater, that is, the perceived difficulty is greater. The statistics of the patient's error rate of judgment are given by the doctor according to the actual consultation situation, and the judgment results are compared according to the patient's judgment results to confirm whether it is correct.

[0073] Step S3435, collect the historical follow-up accuracy rate of the target patient, and comprehensively obtain the judgment accuracy of the follow-up inquiry features of the target patient by combining the time difference and the perceived difficulty.

[0074] The historical follow-up accuracy rate of the target patient refers to the judgment accuracy rate of the target patient for the corresponding follow-up inquiry features during the follow-up process. The doctor gives the judgment result according to the actual consultation situation and compares it with the judgment result of the target patient to determine whether it is correct. For example, the patient gives that they can hear high tones, but the doctor finds through testing that the patient cannot hear high tones, then the patient's judgment is incorrect.

[0075] In practical applications, personal perception information includes first visit information, patient discovery time, historical inquiry data, etc. The proportionality factors of the historical follow-up accuracy rate, time difference, and perceived difficulty are set respectively, and the judgment accuracy is calculated according to the proportionality factors. For example, the proportionality factors of the historical follow-up accuracy rate, time difference, and perceived difficulty are set to 30%, 30%, and 40% respectively, the time difference and perceived difficulty are 5 days and 40% respectively, and the historical follow-up accuracy rate is 80%, then the judgment accuracy is 80%×30% + 5×60% - 40%×40% = 1.58. In the calculation process of the perceived accuracy, it is uniformly normalized with the patient's perceived value before calculation. When the time difference is larger, it means that the target patient discovered the disease earlier and has a stronger perception of the disease, so the judgment accuracy is greater. At the same time, the greater the historical follow-up accuracy rate of the target patient, the higher the judgment accuracy of the patient. And the greater the perceived difficulty of the follow-up inquiry features, the more likely it is to affect the judgment accuracy of the target patient, so the judgment accuracy will be reduced.

[0076] The step of analyzing the personal information to obtain the probability of the target patient participating in the follow-up and recording it as the patient follow-up probability is specifically as follows: Step S51, obtain the historical follow-up records of the target patient, and count the probability of the target patient following up on time according to the historical follow-up records and record it as the first probability.

[0077] Among them, the standard for following up on time can be set by oneself. For example, following up on time within one week before and after the follow-up date is considered following up on time.

[0078] Step S52: Obtain the degree of attention of the target patient to the condition, and combine it with the severity of the condition to obtain the second probability of the target patient's participation in follow-up.

[0079] The degree of attention of the patient to the condition can be judged by observing the patient's behavioral compliance. For example, the probability of following medication instructions or the frequency of actively obtaining health knowledge can be used as evaluation items for the degree of attention of the patient to the condition.

[0080] Step S53: Extract the frequency of the target patient changing hospitals from the historical follow-up records to obtain the third probability of the target patient's participation in follow-up.

[0081] Step S54: Calculate the average value of the first probability, the second probability, and the third probability as the patient follow-up probability.

[0082] In practical applications, although some patients do not follow up on time within the follow-up date, it does not mean that the patient will not come to the hospital for follow-up. The patient may be delayed in the follow-up time due to certain things, or may think that the follow-up time needs to be postponed according to their own status, but the patient will still come to the hospital for follow-up within the follow-up period. Therefore, patients with a high follow-up probability can be temporarily not notified to reduce ineffective notifications. For some patients who do not plan to follow up at the hospital, for the sake of the patient's physical health, it is necessary to notify the patient of the follow-up in time to avoid delaying the condition.

[0083] The step of extracting the frequency of the target patient changing hospitals from the historical follow-up records to obtain the third probability of the target patient's participation in follow-up is specifically as follows: Step S531: Judge whether the target patient changes hospitals according to the historical follow-up records of the otolaryngology department. If the target patient does not change hospitals, then count the change frequency of the target patient changing hospitals.

[0084] If the patient changes hospitals, the third probability is the minimum value.

[0085] Step S532: Statistically calculate the average severity of the condition when the target patient stops following up at the initial hospital according to the historical follow-up records.

[0086] When some conditions are not very serious, the patient will stop following up by himself, thinking that he has recovered and temporarily does not need follow-up visits. Or the patient thinks that the condition is relatively mild and there is no need to go to a large hospital for follow-up visits, and can follow up and review through a small clinic. Obtain the average severity when the target patient stops following up at the initial hospital in all the condition records that need to be followed up.

[0087] Step S533: Calculate the difference between the average severity and the first disease severity as the stop follow-up value of the target patient.

[0088] When the severity of the first condition is less than the average severity, and the greater the difference, the greater the stop follow-up value, because it is very likely that the target patient stops the follow-up review due to the mild condition. When the severity of the first condition is greater than the average severity, the stop follow-up value is negative, indicating that the stop follow-up value is small.

[0089] Step S534, comprehensively obtain the third probability of the target patient participating in the follow-up by combining the replacement frequency and the stop follow-up value.

[0090] In practical applications, the weight ratios of the replacement frequency and the stop follow-up value are set to 80% and 20% respectively. The replacement frequency and the stop follow-up value are 0.5 times / condition and 30 respectively. Then the third probability of the target patient participating in the follow-up is -0.5×80% - 30×20% = -6.4.

[0091] A follow-up management system for otolaryngology patients, by applying a follow-up management method for otolaryngology patients as described above, includes: An expiration judgment module, which obtains the target patients in otolaryngology, collects the follow-up dates of the target patients, and judges whether the follow-up dates are expired.

[0092] A disease severity module, if the follow-up date is expired, collects the basic information of the target patient, and judges the severity of the target patient's condition according to the basic information.

[0093] A follow-up necessity module, which obtains the follow-up information and analyzes the follow-up necessity of the target patient according to the follow-up information and the disease severity.

[0094] A personal information module, judges whether the follow-up necessity reaches a preset necessity threshold, and if it reaches the necessity threshold, obtains the personal information of the target patient.

[0095] A follow-up probability module, analyzes the probability of the target patient participating in the follow-up according to the personal information and records it as the patient follow-up probability.

[0096] A notification management module, if the patient follow-up probability is not greater than a preset probability threshold, notifies the patient to follow up.

[0097] The above are all the preferred embodiments of this application, and the protection scope of this application is not limited accordingly. Therefore, all equivalent changes made according to the structure, shape, and principle of this application should be covered within the protection scope of this application.

Claims

1. A follow-up management method for otolaryngology patients, characterized in that, Including the following steps: Obtain the target patients in the otolaryngology department, collect the follow-up dates of the target patients, and determine whether the follow-up dates have expired; If the follow-up date has expired, collect the basic information of the target patient, and judge the severity of the target patient's condition based on the basic information; Obtain the follow-up information, and analyze the necessity of follow-up for the target patient based on the follow-up information and the severity of the condition; Judge whether the follow-up necessity reaches the preset necessity threshold. If it reaches the necessity threshold, obtain the personal information of the target patient; A follow-up management method for otolaryngology patients is characterized by including the following steps: Obtain the target patients in the otolaryngology department, collect the follow-up dates of the target patients, and determine whether the follow-up dates have expired; If the follow-up date has expired, collect the basic information of the target patient, and judge the severity of the target patient's condition based on the basic information; Obtain the follow-up information, and analyze the necessity of follow-up for the target patient based on the follow-up information and the severity of the condition; Judge whether the follow-up necessity reaches the preset necessity threshold. If it reaches the necessity threshold, obtain the personal information of the target patient; Analyze the probability of the target patient participating in the follow-up based on the personal information and record it as the patient follow-up probability; If the patient follow-up probability is not greater than the preset probability threshold, notify the patient of the follow-up.

2. The follow-up management method for otorhinolaryngology patients according to claim 1, wherein The step of, if the follow-up date has expired, collecting the basic information of the target patient and judging the severity of the target patient's condition based on the basic information is specifically: Collect the basic information of the target patient, and the basic information includes otolaryngology condition information and basic condition information; Analyze the first severity of the condition based on the otolaryngology condition information; Extract the basic condition type according to the basic condition information, count the number of basic condition types affected by the otolaryngology condition and record it as the influence number; Obtain the human health standard, compare the difference between the basic condition information and the human health standard, combine the influence number to obtain the second severity of the condition, and superimpose the first severity of the condition to obtain the severity of the target patient's condition.

3. The follow-up management method for otorhinolaryngology patients according to claim 2, characterized in that, The step of analyzing the first severity of the condition based on the otolaryngology condition information is specifically: Judge whether the otolaryngology condition has a recovery period according to the otolaryngology condition information. If it has a recovery period, obtain the range of the recovery periods of all otolaryngology conditions; Obtain the first severity of the condition according to the ratio of the recovery period duration to the duration of the recovery period range; If there is no recovery period, obtain whether the otolaryngology condition continuously affects the life of the target patient; If it continuously affects the life of the target patient, obtain the first severity of the condition by using the visual analogue scale; If it does not continuously affect the life of the target patient, count the ratio of the average duration affecting the life of the target patient to the total duration of one year as the first severity of the condition.

4. The follow-up management method for otorhinolaryngology patients according to claim 2, wherein The step of obtaining the follow-up information and analyzing the necessity of follow-up for the target patient based on the follow-up information and the severity of the condition is specifically: Obtain the follow-up information, and the follow-up information includes follow-up examination work and follow-up inquiry information; Determine whether the follow-up examination work must be completed in the hospital. If it must be completed in the hospital, obtain the necessity of the examination work based on the first disease severity as the follow-up necessity; If the follow-up examination work does not have to be completed in the hospital, extract the follow-up inquiry features according to the follow-up inquiry information; Obtain the perception information of the target patient, judge the perception accuracy of the target patient for the follow-up inquiry features according to the perception information, and obtain the perception error degree according to the perception accuracy as the follow-up necessity.

5. The follow-up management method for otorhinolaryngology patients according to claim 4, characterized in that, The step of determining whether the follow-up examination work must be completed in the hospital. If it must be completed in the hospital, obtaining the necessity of the examination work based on the first disease severity as the follow-up necessity is specifically as follows: Search for patient records with the same otolaryngology disease information and the same first disease severity as the target patient, and extract and count the examination frequency of the follow-up examination work according to the patient records; Judge whether the examination frequency is 100%. If the examination frequency is not 100%, obtain the medical record of the target patient's otolaryngology disease; Count the proportion of the target patient's adoption of the doctor's advice in the medical record as the examination willingness degree, and calculate the follow-up necessity by combining the examination frequency and the examination willingness degree; If the examination frequency is 100%, use the examination frequency as the follow-up necessity.

6. The follow-up management method for otolaryngology patients according to claim 5, characterized in that, The step of obtaining the perception information of the target patient, judging the perception accuracy of the target patient for the follow-up inquiry features according to the perception information, and obtaining the perception error degree according to the perception accuracy as the follow-up necessity is specifically as follows: Obtain the perception information of the target patient, and the perception information includes the patient's age and personal perception information; Establish an association curve between age and perception ability value, and find the corresponding perception ability value according to the patient's age and the association curve, which is recorded as the patient's perception value; Obtain the perception difficulty of the follow-up inquiry features, and analyze the judgment accuracy of the follow-up inquiry features of the target patient in combination with the personal perception information; Comprehensively obtain the perception accuracy of the target patient by combining the patient's perception value and the judgment accuracy, and obtain the perception error degree according to the perception accuracy as the follow-up necessity.

7. The follow-up management method for otolaryngology patients according to claim 6, characterized in that, The step of obtaining the perception difficulty of the follow-up inquiry features and analyzing the judgment accuracy of the follow-up inquiry features of the target patient in combination with the personal perception information is specifically as follows: Extract the disease information at the first visit of the target patient according to the otolaryngology disease information and record it as the first visit information; Obtain the disease type of the target patient according to the otolaryngology disease information, and collect the average discovery time of the disease type; Extract the patient discovery time when the target patient discovers the disease according to the first visit information, and calculate the time difference between the average discovery time and the patient discovery time; Obtain the historical inquiry data of the follow-up inquiry features, and extract the patient judgment error rate of the follow-up inquiry features from the historical inquiry data as the perception difficulty; Collect the historical follow-up accuracy rate of the target patient, and comprehensively obtain the judgment accuracy of the follow-up inquiry features of the target patient by combining the time difference and the perception difficulty.

8. The follow-up management method for otolaryngology patients according to claim 2, characterized in that, The step of analyzing and obtaining the probability of the target patient participating in the follow-up according to the personal information and recording it as the patient follow-up probability is specifically as follows: Obtain the historical follow-up records of the target patient, and count the probability of the target patient's punctual follow-up according to the historical follow-up records and record it as the first probability; Obtain the degree of attention of the target patient to the condition, and combine with the severity of the condition to obtain the second probability of the target patient participating in the follow-up; Extract the frequency of the target patient changing hospitals according to the historical follow-up records to obtain the third probability of the target patient participating in the follow-up; Calculate the average value of the first probability, the second probability and the third probability as the patient follow-up probability.

9. The follow-up management method for otorhinolaryngology patients according to claim 8, characterized in that, The step of extracting the frequency of the target patient changing hospitals according to the historical follow-up records to obtain the third probability of the target patient participating in the follow-up is specifically as follows: Judge whether the target patient changes hospitals according to the historical follow-up records of the otolaryngology department. If the target patient does not change hospitals, count the change frequency of the target patient changing hospitals; Statistically analyze the average severity of the condition when the target patient stops following up at the initial hospital according to the historical follow-up records; Calculate the difference between the average severity and the first severity of the condition as the follow-up stop value of the target patient; Combined with the change frequency and the follow-up stop value, comprehensively obtain the third probability of the target patient participating in the follow-up.

10. A follow-up management system for otolaryngology patients, characterized in that, Apply a follow-up management method for otolaryngology patients as described in any one of claims 1-9, including: An expiration judgment module, which obtains the target patient in the otolaryngology department, collects the follow-up date of the target patient, and judges whether the follow-up date has expired; A condition severity module, if the follow-up date has expired, collect the basic information of the target patient, and judge the severity of the condition of the target patient according to the basic information; A follow-up necessity module, which obtains the follow-up information and analyzes the follow-up necessity of the target patient according to the follow-up information and the severity of the condition; A personal information module, which judges whether the follow-up necessity reaches a preset necessity threshold. If the necessity threshold is reached, obtain the personal information of the target patient; A follow-up probability module, which analyzes the probability of the target patient participating in the follow-up according to the personal information and records it as the patient follow-up probability; A notification management module, if the patient follow-up probability is not greater than the preset probability threshold, notify the patient to follow up.