Tumor patient follow-up visit management method and system based on Internet

Abstract

The invention discloses a tumor patient follow-up visit management method and system based on the Internet, and relates to the technical field of medical management. Calculating physical condition indexes; respectively calculating a follow-up time interval and the number of follow-up inspection items so as to obtain a follow-up plan index; the follow-up reminding advance time and the follow-up reminding time interval are calculated respectively, the information comprehensive characteristic value is calculated, and finally the information priority is obtained; calculating disease risk assessment indexes, further calculating follow-up compliance assessment values, comparing the follow-up compliance assessment values with preset threshold values, judging follow-up compliance levels of the patients, and adopting follow-up plans corresponding to the follow-up compliance levels; according to the method, follow-up visit can be efficiently reminded, doctor-patient communication is promoted, and then the follow-up visit management quality of tumor patients is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical management, and in particular to an Internet-based tumor patient follow-up management method and system. Background Art

[0002] Cancer is a disease that seriously threatens human health. Long-term follow-up management of patients after treatment is essential. With the increasing number of patients, traditional follow-up management of cancer patients faces huge challenges. During the follow-up process, a large amount of information about the patient needs to be collected, including physical recovery after treatment and disease recurrence, and the accuracy and timeliness of this information must be ensured. In addition, the follow-up schedule, examination item determination, and communication between doctors and patients all need to be effectively coordinated.

[0003] At present, some medical institutions have adopted electronic medical record systems to store patients' basic information and treatment records, which facilitates information query and management to a certain extent. In terms of follow-up schedule, some systems will automatically generate follow-up reminders according to preset time intervals and send them to medical staff and patients. For doctor-patient communication, there are also attempts to achieve text communication through online platforms.

[0004] However, existing technologies still have many defects. Existing follow-up reminders are often based on fixed time intervals, lack personalization, and cannot be flexibly adjusted according to the patient's actual condition and treatment. In addition, the existing doctor-patient communication platforms are relatively simple in function, and most of them only support simple text communication, which cannot meet complex communication needs such as condition analysis and imaging data viewing. Summary of the invention

[0005] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides an Internet-based tumor patient follow-up management method and system, which collects multiple data of tumor patients; calculates physical condition indicators; respectively calculates the follow-up time interval and the number of follow-up examination items, and then obtains the follow-up plan indicators; respectively calculates the follow-up reminder advance time and the follow-up reminder time interval, and calculates the comprehensive characteristic value of the information, and finally obtains the information priority; calculates the disease risk assessment index, further calculates the follow-up compliance assessment value, presets a threshold value to compare and judge the patient's follow-up compliance level, and adopts a corresponding follow-up plan, thereby solving the problems of low efficiency and untimely follow-up in traditional manual follow-up management methods.

[0006] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: a tumor patient follow-up management method based on the Internet, comprising: Collect personal information data, medical history data, treatment information data and follow-up data of cancer patients; Calculate the physical condition index P based on the personal information data; calculate the follow-up time interval F and the number of follow-up examination items NLP based on the physical condition index P and the medical record information data; calculate the follow-up plan index PL based on the follow-up time interval F and the number of follow-up examination items NLP; According to the follow-up plan indicator PL and the follow-up data, the follow-up reminder advance time TA is calculated; the follow-up reminder time interval TB is calculated based on the follow-up reminder advance time TA; the information comprehensive characteristic value CM is calculated based on the treatment information data, and the information priority LM is calculated according to the follow-up reminder advance time TA, the follow-up reminder time interval TB and the information comprehensive characteristic value CM; According to the information priority LM, personal information data and medical record information data, the disease risk assessment index RI is calculated; according to the disease risk assessment index RI and the follow-up data, the follow-up compliance assessment value CIK is calculated; the follow-up compliance assessment value threshold is preset, and the follow-up compliance assessment value CIK is compared with the follow-up compliance assessment value threshold, and the patient's follow-up compliance level is judged according to the comparison result, and a corresponding follow-up plan is adopted.

[0007] In the preferred embodiment of the above-mentioned Internet-based follow-up management method for tumor patients, the method for calculating the physical condition index P is: Personal information data includes age AK, height HK and weight WK; According to age AK, height HK and weight WK, calculate the physical condition index P, the calculation formula is:

[0008] Where DK is the number of diseases suffered.

[0009] In the preferred embodiment of the above-mentioned Internet-based tumor patient follow-up management method, the method for calculating the follow-up time interval F and the number of follow-up examination items NLP is: Medical record information data include tumor complexity coefficient CI, tumor stage index SI and treatment type combination index TI; According to the physical condition index P, tumor complexity coefficient CI, tumor stage index SI and treatment type combination index TI, the follow-up time interval F is calculated using the following formula:

[0010] Among them, RI is the treatment effect feedback index; According to the physical condition index P, tumor complexity coefficient CI, tumor stage index SI and treatment type combination index TI, the number of follow-up examination items NLP is calculated based on the following formula:

[0011] Among them, ω1 is the weight coefficient of the physical condition index P, which is 0.1~0.3; ω2 is the weight coefficient of the tumor complexity coefficient CI, which is 0.2~0.4; ω3 is the weight coefficient of the tumor stage index SI, which is 0.3~0.4; ω4 is the weight coefficient of the treatment type combination index TI, which is 0.1~0.3; ω5 is the treatment effect feedback index The weight coefficient is between 0.1 and 0.2, and ω1+ω2+ω3+ω4+ω5=1.

[0012] In the preferred embodiment of the above-mentioned Internet-based tumor patient follow-up management method: the method for calculating the follow-up plan indicator PL is: According to the follow-up time interval F and the number of follow-up examination items NLP, the follow-up plan index PL is calculated using the following formula:

[0013] in, is a natural constant.

[0014] In the preferred embodiment of the above-mentioned Internet-based tumor patient follow-up management method, the method for calculating the follow-up reminder advance time TA and the follow-up reminder time interval TB is: Follow-up data include the number of electronic materials to be submitted MH; According to the follow-up plan indicator PL and the number of electronic materials to be submitted MH, the follow-up reminder advance time TA is calculated using the following formula:

[0015] Among them, S is the patient's emphasis on follow-up; PM is the busyness of medical staff; a is the reminder advance coefficient; Based on the follow-up reminder advance time TA, the follow-up reminder time interval TB is calculated using the following formula:

[0016] Among them, NM is the total number of follow-up reminders.

[0017] In the preferred embodiment of the above-mentioned Internet-based tumor patient follow-up management method, the method for calculating the information comprehensive characteristic value CM is: The treatment information data include information text length TF, voice duration VF, number of pictures PF, and video duration QF; According to the information text length TF, voice duration VF, number of pictures PF and video duration QF, the information comprehensive feature value CM is calculated. The calculation formula is:

[0018] Among them, φ1 is the weight coefficient of the information text length TF, and its value is 0.2~0.4; φ2 is the weight coefficient of the voice duration VF, and its value is 0.1~0.3; φ3 is the weight coefficient of the number of pictures PF, and its value is 0.3~0.4; φ4 is the weight coefficient of the video duration QF, and its value is 0.2~0.3; and φ1+φ2+φ3+φ4=1; E is the urgency of the information; II is the importance of the information.

[0019] In the preferred embodiment of the above-mentioned Internet-based tumor patient follow-up management method, the method for calculating the information priority LM is: According to the follow-up reminder advance time TA, the follow-up reminder time interval TB and the information comprehensive characteristic value CM, the information priority LM is calculated based on the formula:

[0020] Among them, k1 is the weight coefficient of the follow-up reminder advance time TA, and its value is 0.5~0.7; k2 is the weight coefficient of the follow-up reminder time interval TB, and its value is 0.3~0.5; and k1+k2=1; R is the response speed of the receiver.

[0021] In the preferred embodiment of the above-mentioned Internet-based tumor patient follow-up management method, the method for calculating the disease risk assessment index RI is: Medical record information data also included tumor size GH and number of lymph node metastases NS; According to the information priority LM, age AK, tumor size GH and number of lymph node metastases NS, the disease risk assessment index RI is calculated using the following formula:

[0022] Among them, MM indicates whether the tumor has metastasis, if yes, MM=1, if no, MM=0.

[0023] In the preferred embodiment of the above-mentioned Internet-based tumor patient follow-up management method, the method for determining the patient follow-up compliance level is: Follow-up data also include the planned follow-up number SD, the actual follow-up number AD, and the number of patients lost to follow-up LD; According to the disease risk assessment index RI, the planned follow-up times SD, the actual follow-up times AD and the patient loss times LD, the follow-up compliance assessment value CIK is calculated based on the following formula:

[0024] Among them, DD is the sum of the deviation days of follow-up interval; TT is the average follow-up interval time; The follow-up compliance evaluation value thresholds include the follow-up compliance evaluation value threshold one CIK1 and the follow-up compliance evaluation value threshold two CIK2, and CIK1 < CIK2; When CIK ≤ CIK1, it is determined that the patient's follow-up compliance is low, and follow-up plan one is adopted; When CIK1 < CIK ≤ CIK2, it is determined that the patient's follow-up compliance is medium, and follow-up plan two is adopted; When CIK > CIK2, it is determined that the patient's follow-up compliance is high, and follow-up plan three is adopted.

[0025] The present invention also discloses an Internet-based follow-up management system for tumor patients, which is used to implement the above-mentioned Internet-based follow-up management method for tumor patients, and includes: An information collection module, which is used to collect personal information data, medical record information data, treatment information data and follow-up data of tumor patients; A follow-up plan formulation module, which is used to calculate the physical condition index P based on the personal information data; calculate the follow-up time interval F and the number of follow-up examination items NLP according to the physical condition index P and the medical record information data; calculate the follow-up plan index PL according to the follow-up time interval F and the number of follow-up examination items NLP; A follow-up reminder module, which is used to calculate the follow-up reminder advance time TA according to the follow-up plan index PL and the follow-up data; calculate the follow-up reminder time interval TB based on the follow-up reminder advance time TA; calculate the information comprehensive feature value CM based on the treatment information data, and calculate the information priority LM according to the follow-up reminder advance time TA, the follow-up reminder time interval TB and the information comprehensive feature value CM; A level judgment module, which is used to calculate the disease risk assessment index RI according to the information priority LM, the personal information data and the medical record information data; calculate the follow-up compliance evaluation value CIK according to the disease risk assessment index RI and the follow-up data; preset the follow-up compliance evaluation value threshold, compare the follow-up compliance evaluation value CIK with the follow-up compliance evaluation value threshold, and judge the patient's follow-up compliance level according to the comparison result, and adopt the corresponding follow-up plan.

[0026] (III) Beneficial effects The present invention provides an Internet-based follow-up management method and system for tumor patients, which have the following beneficial effects: (1) The personal information data helps to understand the basic situation of the patient, the medical record information data can reflect the history and current situation of the patient's disease, the treatment information data can show the treatment process and its effect that the patient has experienced, and the follow-up data can track the patient's recovery situation after treatment, etc. Through comprehensive data collection, rich materials can be provided for subsequent analysis and management.

[0027] (2) Calculating physical condition indicators can reflect the patient's physical condition, and calculating the follow-up interval and the number of follow-up examination items can ensure that the follow-up plan closely matches the patient's actual condition. This can avoid the waste of medical resources and increased burden on patients caused by excessive follow-up, and can also prevent problems such as insufficient follow-up leading to untimely disease monitoring and missing the best treatment opportunity, thereby improving the efficiency and quality of follow-up.

[0028] (3) Calculating the lead time for follow-up reminders and the interval between follow-up reminders can ensure that patients follow up on time, avoid forgetting, and improve patients' follow-up compliance. The calculation of information comprehensive feature values ​​and information priority can record the condition and treatment plan in detail, help medical staff arrange their work reasonably, quickly convey instructions and opinions, and give priority to important follow-up information, thereby improving the efficiency and pertinence of medical work.

[0029] (4) By calculating the disease risk assessment index, it helps medical staff to take preventive measures. The follow-up compliance assessment value and its comparison with the threshold can objectively measure the patient's implementation of the follow-up plan. Adopting corresponding follow-up plans for different follow-up compliance levels can improve the patient's compliance with follow-up and ensure the continuity and effectiveness of treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 The present invention is a schematic diagram of the steps of an Internet-based tumor patient follow-up management method. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] See also Figure 1 The present invention provides an Internet-based tumor patient follow-up management method, comprising: Step 1: Collect personal information data, medical history information data, treatment information data and follow-up data of cancer patients.

[0033] Comprehensive step one: Personal information data helps to understand the basic situation of the patient. Medical history information data allows doctors to fully understand the development of the disease and provide a basis for diagnosis and treatment. Treatment information data can help evaluate the treatment effect and optimize the treatment plan. Follow-up data can monitor the patient's recovery and detect signs of recurrence in a timely manner.

[0034] Step 2: Calculate the physical condition index P based on the personal information data; calculate the follow-up time interval F and the number of follow-up examination items NLP according to the physical condition index P and the medical record information data; calculate the follow-up plan index PL according to the follow-up time interval F and the number of follow-up examination items NLP.

[0035] Step 201: Calculate the physical condition index P, the specific steps include: Personal information data includes age AK, height HK and weight WK.

[0036] It should be noted that when a patient undergoes a physical examination or sees a doctor in a hospital, the hospital's electronic medical record system will record the information in the electronic medical record. Through the patient's electronic medical record, the patient's age AK, height HK and weight WK can be obtained.

[0037] According to age AK, height HK and weight WK, calculate the physical condition index P, the calculation formula is:

[0038] Where DK is the number of diseases suffered.

[0039] It should be noted that to obtain the number of diseases DK, the hospital's electronic medical record system is checked to query all the patient's medical records in the hospital, from which the number of diseases the patient suffers in the hospital is obtained. Through the regional medical information platform, the patient's medical information in other medical institutions is obtained to further improve the patient's disease data. Comprehensively evaluate and organize medical information from different institutions, count the number of diseases of the patient, and obtain the number of diseases DK.

[0040] It should be noted that the numerator indicates that age is an important factor affecting physical condition. With age, physical function generally declines gradually, so age plays a positive role in affecting physical condition indicators in the formula. The denominator comprehensively considers the impact of height and weight on physical condition, making the physical condition index relatively small when weight and height match well, and relatively large when weight and height do not match. Finally, 10×DK is added, indicating that the more diseases one suffers from, the greater the physical condition index.

[0041] Step 202: Calculate the follow-up time interval F and the number of follow-up examination items NLP. The specific steps include: Medical record information data include tumor complexity coefficient CI, tumor stage index SI and treatment type combination index TI.

[0042] It should be noted that to obtain the tumor complexity coefficient CI, the patient's electronic medical record is obtained from the hospital's HIS hospital information system, and the different histological types of the tumor diagnosed by the diagnosis results in the medical record are scored, with adenocarcinoma scored 3, squamous cell carcinoma scored 2, and other types of cancer scored 1. When the diagnosis result determines that the tumor is well differentiated, the score is 1; when the tumor is moderately differentiated, the score is 3; when the tumor is poorly differentiated, the score is 5; when the tumor is undifferentiated, the score is 7. Finally, the score is calculated, which is the tumor complexity coefficient CI. For example, if the diagnosis result confirms that the patient's tumor is adenocarcinoma and the tumor differentiation is moderately differentiated, CI=3+3=6.

[0043] Obtain the tumor staging index SI, and score the tumor size according to the tumor size confirmed by the diagnosis results in the patient's electronic medical record; when the maximum diameter of the tumor is less than or equal to 2cm, the score is 1; when the maximum diameter of the tumor is between 2-5cm, the score is 3; when the maximum diameter of the tumor is greater than 5, the score is 5. Determine whether the lymph nodes are metastatic according to the diagnosis results in the patient's medical record. When the lymph nodes are not metastatic, the score is 0; when there are 1-3 areas of lymph node metastasis, the score is 3; when there are more than 4 areas of lymph node metastasis, the score is 5; determine whether the tumor has distant metastasis according to the diagnosis results in the patient's medical record. When the tumor has no distant metastasis, the score is 0, and when the tumor has distant metastasis, the score is 1. The obtained scores are statistically added and summed to obtain the tumor staging index SI. For example, if the diagnosis results confirm that the patient's tumor has a maximum diameter of 4cm, there are 2 areas of lymph node metastasis, and there is no distant metastasis, then SI=3+3+0=6.

[0044] Obtain the treatment type combination index TI, and score it according to the chemotherapy regimen confirmed by the diagnosis results in the patient's electronic medical record; if no chemotherapy, the score is 0; if single-drug chemotherapy is performed, the score is 2; if two drugs are combined for chemotherapy, the score is 4; if three or more combined chemotherapy is performed, the score is 6. Determine the dose used by the patient during radiotherapy according to the diagnosis results in the medical record. If no radiotherapy is performed, the score is 0; if a radiotherapy dose of less than 30Gy is used, the score is 2; if a radiotherapy dose of 30-60Gy is used, the score is 4; if a radiotherapy dose of more than 60Gy is used, the score is 6. The obtained scores are counted, and the sum is the treatment type combination index TI. For example, if the diagnosis confirms that the patient used three drugs for combined chemotherapy and received a radiotherapy dose of 50Gy, then TI=6+4=10.

[0045] According to the physical condition index P, tumor complexity coefficient CI, tumor stage index SI and treatment type combination index TI, the follow-up time interval F is calculated using the following formula:

[0046] Among them, RI is the treatment effect feedback indicator.

[0047] It should be noted that the treatment effect feedback index RI is obtained by obtaining the tumor volume v1 before treatment and the tumor volume v2 after treatment from the patient's electronic medical record, and then the treatment effect feedback index RI is calculated, RI=(v2-v1) / v1.

[0048] It should be noted that this formula calculates the follow-up interval by comprehensively considering the complexity of the tumor, tumor stage, treatment type, physical condition and treatment effect. The combination of various factors makes the value of the denominator reflect the patient's comprehensive condition and rehabilitation environment, and thus derives a reasonable follow-up interval. The more complex the condition, the higher the stage, the more treatment methods, the worse the physical condition, and the worse the treatment effect, the shorter the follow-up interval.

[0049] According to the physical condition index P, tumor complexity coefficient CI, tumor stage index SI and treatment type combination index TI, the number of follow-up examination items NLP is calculated based on the following formula:

[0050] Among them, ω1 is the weight coefficient of the physical condition index P, which is 0.1~0.3; ω2 is the weight coefficient of the tumor complexity coefficient CI, which is 0.2~0.4; ω3 is the weight coefficient of the tumor stage index SI, which is 0.3~0.4; ω4 is the weight coefficient of the treatment type combination index TI, which is 0.1~0.3; ω5 is the treatment effect feedback index The weight coefficient is between 0.1 and 0.2, and ω1+ω2+ω3+ω4+ω5=1.

[0051] It should be noted that this formula comprehensively considers five important parameters: physical condition index P, tumor complexity coefficient CI, tumor stage index SI, treatment type combination index TI and treatment effect feedback index RI. Each parameter has a corresponding weight coefficient, which indicates the importance of different parameters when calculating the number of follow-up examination items NLP. The number of follow-up examination items NLP is obtained by multiplying each parameter with its corresponding weight coefficient and then summing them.

[0052] Step 203: Calculate the follow-up plan indicator PL, the specific steps include: According to the follow-up time interval F and the number of follow-up examination items NLP, the follow-up plan index PL is calculated using the following formula:

[0053] in, It is a natural constant and its value is 2.71828.

[0054] It should be noted that this formula is designed to comprehensively consider the impact of the follow-up interval and the number of follow-up examination items on the follow-up plan indicators. Through mathematical operations such as cubic sum, exponential function and square difference, these two factors are combined in a nonlinear way to more accurately reflect the complex characteristics of the follow-up plan.

[0055] Comprehensive steps 201 to 203: By calculating the physical condition indicators, the patient's physical condition can be fully reflected. By calculating the follow-up interval and the number of follow-up examination items, the most suitable follow-up strategy can be tailored for each patient, avoiding the waste of medical resources caused by excessive follow-up and the risk of missing disease monitoring caused by insufficient follow-up. Calculating the follow-up plan indicators can make the entire follow-up process more systematic and planned, and medical staff can arrange their work more efficiently.

[0056] Step 3: Calculate the follow-up reminder advance time TA based on the follow-up plan indicator PL and the follow-up data; calculate the follow-up reminder time interval TB based on the follow-up reminder advance time TA; calculate the information comprehensive characteristic value CM based on the treatment information data, and calculate the information priority LM based on the follow-up reminder advance time TA, the follow-up reminder time interval TB and the information comprehensive characteristic value CM.

[0057] Step 301: Calculate the follow-up reminder advance time TA and the follow-up reminder time interval TB, and the specific steps include: Follow-up data include the number of electronic materials to be submitted.

[0058] It should be noted that by finding the target patient's file in the electronic medical record system, various types of electronic data required for follow-up, such as laboratory test results, diagnostic reports, etc., are screened out in the patient's electronic medical record, and the number is counted to obtain the number of electronic data to be submitted MH.

[0059] According to the follow-up plan indicator PL and the number of electronic materials to be submitted MH, the follow-up reminder advance time TA is calculated using the following formula:

[0060] Among them, S is the patient's emphasis on follow-up; PM is the busyness of medical staff; and a is the reminder advance coefficient.

[0061] It should be noted that, to obtain the patient's degree of importance S for follow-up, by recording the patient's actual participation in the past p follow-up visits, obtaining the number of follow-up visits on time as e, and calculating the patient's degree of importance S for follow-up, S=e / p.

[0062] Obtain the busyness of medical staff PM. Since the hospital's HIS records the operation time of medical staff in the system, including login time, doctor's order entry time, medical record writing time, etc. By analyzing these operation records, the actual working time tw of medical staff in a week is obtained; based on the actual working time tw in a week, the busyness of medical staff PM is calculated, PM=tw / ts, where ts is the standard working time in a week, which is 40 hours per week.

[0063] Obtain the reminder advance coefficient a. By obtaining the number of times the patient was able to follow up on time without reminders in the past k follow-ups (g), calculate the reminder advance coefficient a, a=1 / (1+g / k×q), where q is the weight coefficient of g / k and is a positive number.

[0064] It should be noted that Represents the comprehensive needs for follow-up-related preparations. It reflects the factors that limit the advance reminder time. The busier the medical staff is, the lower their ability to handle follow-up reminder-related work is; the larger the reminder advance coefficient a is, the less necessary the advance reminder is. These two factors are multiplied as the denominator to limit and adjust the numerator. The entire formula balances the needs of follow-up preparation work and the limiting factors in actual operation through this relationship between the numerator and the denominator, thereby deriving a relatively reasonable follow-up reminder advance time TA.

[0065] Based on the follow-up reminder advance time TA, the follow-up reminder time interval TB is calculated using the following formula:

[0066] Among them, NM is the total number of follow-up reminders.

[0067] It should be noted that the total number of follow-up reminders NM is obtained. Since the follow-up management system will record each follow-up reminder issued, the target patient's file is found in the system by logging into the follow-up management system of the medical institution, and the relevant records of the follow-up reminder are further found. The found follow-up reminder records are counted to obtain the total number of follow-up reminders NM.

[0068] It should be noted that the denominator NM-1 indicates that when calculating the time interval, the last reminder does not need to consider the subsequent reminder time interval. The average time interval TB between each follow-up reminder is obtained by dividing the lead time of the follow-up reminder by the number of effective reminders.

[0069] Step 302: Calculate the information comprehensive characteristic value CM, the specific steps include: The treatment information data includes the information text length TF, voice duration VF, number of pictures PF and video duration QF.

[0070] It should be noted that the electronic medical record has a text length statistics function, which can directly obtain the information text length TF of each treatment record from the electronic medical record.

[0071] During online communication, voice records usually automatically display the duration, and the voice duration VF of each voice can be directly obtained.

[0072] By logging into the medical communication platform of the medical institution, the number of pictures PF in the communication process with the patient can be queried based on the built-in picture quantity statistics function of the platform.

[0073] The video duration QF can be directly obtained through video call software such as Tencent Conference, Zoom, etc.

[0074] According to the information text length TF, voice duration VF, number of pictures PF and video duration QF, the information comprehensive feature value CM is calculated. The calculation formula is:

[0075] Among them, φ1 is the weight coefficient of the information text length TF, and its value is 0.2~0.4; φ2 is the weight coefficient of the voice duration VF, and its value is 0.1~0.3; φ3 is the weight coefficient of the number of pictures PF, and its value is 0.3~0.4; φ4 is the weight coefficient of the video duration QF, and its value is 0.2~0.3; and φ1+φ2+φ3+φ4=1; E is the urgency of the information; II is the importance of the information.

[0076] It should be noted that the information urgency E is calculated by obtaining the information processing deadline td and the current time tc, E = (td-tc) / td. When tc is closer to td, E is close to 0, indicating a high urgency; when tc is much smaller than td, E is close to 1, indicating a low urgency.

[0077] Obtain the importance of information II. By obtaining the number of people affected by the information na and the total number of relevant people nt, calculate the importance of information II, II=na / nt.

[0078] It should be noted that (E×II) represents the product of the urgency and importance of information. The information text length TF, voice duration VF, number of pictures PF and video duration QF represent the characteristics of information in the form of text, picture, voice and video respectively; by multiplying these four parameters with their corresponding weight coefficients, then summing them and finally adding (E×II), the comprehensive characteristic value CM of information is obtained. This formula calculates the comprehensive characteristic value CM of information by comprehensively considering the characteristics of information in different forms as well as the urgency and importance of information.

[0079] Step 303: Calculate the information priority LM. The specific steps include: According to the follow-up reminder advance time TA, the follow-up reminder time interval TB and the information comprehensive characteristic value CM, the information priority LM is calculated based on the formula:

[0080] Among them, k1 is the weight coefficient of the follow-up reminder advance time TA, and its value is 0.5~0.7; k2 is the weight coefficient of the follow-up reminder time interval TB, and its value is 0.3~0.5; and k1+k2=1; R is the response speed of the receiver.

[0081] It should be noted that to obtain the receiver's response speed R, a series of simulation information of different types and different urgency levels are sent to the receiver, and the receiver's response time to each simulation information is recorded; the average response time to of receiving the simulation information is calculated, and then the receiver's response speed R is calculated, R=1 / to.

[0082] It should be noted that the numerator shows that the comprehensive characteristics of the information itself have a direct positive impact on the information priority. The denominator comprehensively considers the receiver's response speed, factors related to the follow-up reminder time, and the authority level of the information sender to reflect the impact on the information priority.

[0083] Comprehensive steps 301 to 303: Calculating the lead time for follow-up reminders can ensure that patients and medical staff are well prepared for follow-up visits in advance, avoid missing follow-up opportunities due to forgetfulness, and improve the on-time execution rate of follow-up visits. Calculating the interval between follow-up reminders can make follow-up reminders more reasonable and regular, and optimize the time arrangement of the entire follow-up process. Calculating the comprehensive characteristic value of information can record the condition and treatment plan in detail, help medical staff arrange their work reasonably, and quickly convey instructions and opinions; calculating the priority of information can reasonably classify the follow-up-related information of different patients.

[0084] Step 4: Calculate the disease risk assessment index RI based on the information priority LM, personal information data and medical record information data; calculate the follow-up compliance assessment value CIK based on the disease risk assessment index RI and follow-up data; preset the follow-up compliance assessment value threshold, compare the follow-up compliance assessment value CIK with the follow-up compliance assessment value threshold, judge the patient's follow-up compliance level based on the comparison result, and adopt a corresponding follow-up plan.

[0085] Step 401: Calculate the disease risk assessment index RI, the specific steps include: The medical record information data also included tumor size GH and number of lymph node metastases NS.

[0086] It should be noted that the patient's imaging examination report was obtained based on the hospital's electronic medical record system; the patient's tumor size GH was obtained directly from the imaging examination report.

[0087] Find the pathology examination report in the patient's electronic medical record system. The pathology report will clearly indicate the number of lymph nodes sent for examination and the number of lymph nodes in which tumor cell metastasis was found, that is, the lymph node metastasis number NS.

[0088] According to the information priority LM, age AK, tumor size GH and number of lymph node metastases NS, the disease risk assessment index RI is calculated using the following formula:

[0089] Among them, MM indicates whether the tumor has metastasis, if yes, MM=1, if no, MM=0.

[0090] It should be noted that by checking the patient's pathology report, the report will clearly indicate whether tumor metastasis cells are found in the tissues submitted for examination. For example, the report will state "tumor metastasis foci were found in lymph node tissue" or "no tumor cells were found" to obtain whether the tumor has metastasized MM.

[0091] It should be noted that this formula calculates the disease risk assessment index RI by comprehensively considering factors such as tumor size, lymph node metastasis, tumor metastasis status, age, number of diseases and information priority, and dividing it by 1000. This comprehensive consideration of multiple factors can comprehensively assess the patient's disease risk and help doctors develop more accurate treatment plans and prognosis judgments.

[0092] Step 402: Determine the patient's follow-up compliance level, including: The follow-up data also include the planned follow-up times (SD), the actual follow-up times (AD), and the number of patients lost to follow-up (LD).

[0093] It should be noted that according to the follow-up management system, the medical records of the target patients are found in the system, and the follow-up plan module is checked; according to the records in the system, the total number of planned follow-ups is counted to obtain the planned number of follow-ups SD. The follow-up records of the target patients are screened out in the follow-up management system, and the actual follow-up records are further screened to obtain the actual number of follow-up AD. The number of patient loss LD is obtained by subtracting the actual number of follow-up AD from the planned number of follow-up SD.

[0094] According to the disease risk assessment index RI, the planned follow-up times SD, the actual follow-up times AD and the patient loss times LD, the follow-up compliance assessment value CIK is calculated based on the following formula:

[0095] Among them, DD is the total number of deviation days of follow-up interval; TT is the average follow-up interval time.

[0096] It should be noted that to obtain the total number of deviation days of follow-up interval DD, the planned follow-up time and actual follow-up time of the patient are obtained in the hospital's follow-up management system. For two adjacent planned follow-ups, the number of days between the planned follow-up is calculated; similarly, for two adjacent actual follow-ups, the number of days between the actual follow-up is calculated. Then the number of deviation days of each follow-up interval is calculated = the actual number of follow-up interval days - the planned number of follow-up interval days. For example, the first planned follow-up is January 1, 2023, and the second planned follow-up is March 1, 2023. The planned follow-up interval is 31+28+1=60 days; the first actual follow-up is January 5, 2023, and the second actual follow-up is March 10, 2023. The actual follow-up interval is 25+28+10=63 days; then the number of deviation days of the follow-up interval is 63-60=3 days. List the number of deviation days of the follow-up interval calculated each time and add them up to obtain the total number of deviation days of the follow-up interval DD.

[0097] Get the average follow-up interval TT by obtaining the time interval between two consecutive follow-up visits of the patient , according to the actual number of follow-up visits AD and the time interval between two consecutive follow-up visits , calculate the average follow-up interval TT, the calculation formula is:

[0098] in, is the i-th adjacent follow-up time interval, i is the sequence number of the adjacent follow-up time interval, and its value is [1, AD-1].

[0099] It should be noted that The significance of is to measure the effective follow-up that the patient actually completed. If the patient actually has more follow-up visits and fewer lost follow-up visits, the value of the numerator will be larger, indicating that the patient performed well in follow-up. This term takes into account the effect of the number of days of deviation from the follow-up interval. If the sum of the number of days of deviation from the follow-up interval DD is large, the patient's follow-up regularity is poor relative to the planned follow-up, which will increase the denominator and reduce the follow-up compliance assessment value. This item takes into account the patient's disease risk. The higher the disease risk, the larger the denominator, which means that for patients with high disease risk, the follow-up compliance assessment will be more stringent. In general, this formula calculates the follow-up compliance assessment value CIK by comprehensively considering factors such as the patient's actual follow-up number, planned follow-up number, number of missed follow-ups, number of days of deviation from the follow-up interval, and disease risk assessment indicators.

[0100] Preset follow-up compliance evaluation value threshold; the follow-up compliance evaluation value threshold includes follow-up compliance evaluation value threshold one CIK1 and follow-up compliance evaluation value threshold two CIK2, and CIK1 < CIK2; collect a large amount of follow-up data of tumor patients through the electronic medical record system and the follow-up management system, including the patient's basic information, disease information, treatment information, planned follow-up times, actual follow-up times, lost follow-up times, deviation days of follow-up intervals, disease risk assessment indicators, etc. Calculate the follow-up compliance evaluation value CIK for each patient; further calculate the average value of the follow-up compliance evaluation value CIK avg and the standard deviation σ, and use CIK avg -σ as the follow-up compliance evaluation value threshold one CIK1; use CIK avg +σ as the follow-up compliance evaluation value threshold two CIK2.

[0101] When CIK ≤ CIK1, it is determined that the patient's follow-up compliance is low, and follow-up plan one is adopted; follow-up plan one is to send to medical staff "The follow-up compliance of patient XX is low, and communication and follow-up management need to be strengthened. Increase the communication frequency with the patient; shorten the follow-up interval, and change the original planned follow-up once every 3 months to follow-up once every 2 months". Send a follow-up reminder message to the patient to remind the patient of the new follow-up time.

[0102] When CIK1 < CIK ≤ CIK2, it is determined that the patient's follow-up compliance is medium, and follow-up plan two is adopted; follow-up plan two is to send to medical staff "The follow-up compliance of patient XX is medium, please note to remind the patient of the follow-up time by text message or phone one week before the follow-up". Send a follow-up reminder message to the patient to remind the patient of the next follow-up time and inform the follow-up content.

[0103] When CIK > CIK2, it is determined that the patient's follow-up compliance is high, and follow-up plan three is adopted; follow-up plan three is to send to medical staff "The follow-up compliance of patient XX is high, please follow up according to the original plan". Send a follow-up reminder message to the patient to remind the patient to follow up according to the original plan.

[0104] Integrate step 401 to step 402: Calculating the disease risk assessment indicators can more scientifically and comprehensively evaluate the patient's disease risk, avoiding the one-sidedness of single-factor evaluation. Calculating the follow-up compliance evaluation value, presetting the follow-up compliance evaluation value threshold and comparing them can divide the patient's follow-up compliance level. This grading helps medical staff formulate personalized follow-up plans.

[0105] On the other hand, the present invention also discloses an Internet-based follow-up management system for tumor patients, which is used to implement the above-mentioned Internet-based follow-up management method for tumor patients, including: An information collection module is used to collect personal information data, medical history information data, treatment information data and follow-up data of tumor patients; A follow-up plan formulation module is used to calculate the physical condition index P based on the personal information data; calculate the follow-up time interval F and the number of follow-up examination items NLP according to the physical condition index P and the medical record information data; calculate the follow-up plan index PL according to the follow-up time interval F and the number of follow-up examination items NLP; A follow-up reminder module is used to calculate the follow-up reminder advance time TA according to the follow-up plan indicator PL and the follow-up data; calculate the follow-up reminder time interval TB based on the follow-up reminder advance time TA; calculate the information comprehensive characteristic value CM based on the treatment information data, and calculate the information priority LM according to the follow-up reminder advance time TA, the follow-up reminder time interval TB and the information comprehensive characteristic value CM; The level judgment module is used to calculate the disease risk assessment index RI according to the information priority LM, personal information data and medical record information data; calculate the follow-up compliance assessment value CIK according to the disease risk assessment index RI and follow-up data; preset the follow-up compliance assessment value threshold, compare the follow-up compliance assessment value CIK with the follow-up compliance assessment value threshold, judge the patient's follow-up compliance level according to the comparison result, and adopt a corresponding follow-up plan.

[0106] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware or in combination with computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0107] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0108] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A tumor patient follow-up management method based on the Internet, characterized in that: include: Collect personal information data, medical history data, treatment information data and follow-up data of cancer patients; Calculate the physical condition index P based on the personal information data; calculate the follow-up time interval F and the number of follow-up examination items NLP based on the physical condition index P and the medical record information data; calculate the follow-up plan index PL based on the follow-up time interval F and the number of follow-up examination items NLP; According to the follow-up plan indicator PL and follow-up data, the follow-up reminder advance time TA is calculated; Calculate the follow-up reminder time interval TB based on the follow-up reminder advance time TA; Calculate the information comprehensive characteristic value CM based on the treatment information data, and calculate the information priority LM according to the follow-up reminder advance time TA, the follow-up reminder time interval TB and the information comprehensive characteristic value CM; According to the information priority LM, personal information data and medical record information data, the disease risk assessment index RI is calculated; according to the disease risk assessment index RI and the follow-up data, the follow-up compliance assessment value CIK is calculated; A follow-up compliance assessment value threshold is preset, and the follow-up compliance assessment value CIK is compared with the follow-up compliance assessment value threshold. The patient's follow-up compliance level is determined based on the comparison result, and a corresponding follow-up plan is adopted.

2. The method for follow-up management of tumor patients based on the Internet according to claim 1, characterized in that: The method for calculating the physical condition index P is: Personal information data includes age AK, height HK and weight WK; According to age AK, height HK and weight WK, calculate the physical condition index P, the calculation formula is: ； Where DK is the number of diseases suffered.

3. The method for follow-up management of tumor patients based on the Internet according to claim 2, characterized in that: The NLP method for calculating the follow-up interval F and the number of follow-up examination items is: Medical record information data include tumor complexity coefficient CI, tumor stage index SI and treatment type combination index TI; According to the physical condition index P, tumor complexity coefficient CI, tumor stage index SI and treatment type combination index TI, the follow-up time interval F is calculated using the following formula: ； Among them, RI is the treatment effect feedback index; According to the physical condition index P, tumor complexity coefficient CI, tumor stage index SI and treatment type combination index TI, the number of follow-up examination items NLP is calculated based on the following formula: ； Among them, ω1 is the weight coefficient of the physical condition index P, which is 0.1~0.3; ω2 is the weight coefficient of the tumor complexity coefficient CI, which is 0.2~0.4; ω3 is the weight coefficient of the tumor stage index SI, which is 0.3~0.4; ω4 is the weight coefficient of the treatment type combination index TI, which is 0.1~0.3; ω5 is the treatment effect feedback index The weight coefficient is between 0.1 and 0.2, and ω1+ω2+ω3+ω4+ω5=1.

4. The method for follow-up management of tumor patients based on the Internet according to claim 3, characterized in that: The method for calculating the follow-up plan indicator PL is: According to the follow-up time interval F and the number of follow-up examination items NLP, the follow-up plan index PL is calculated using the following formula: ； in, is a natural constant.

5. The method for follow-up management of tumor patients based on the Internet according to claim 4, characterized in that: The method for calculating the follow-up reminder advance time TA and the follow-up reminder time interval TB is: Follow-up data include the number of electronic materials to be submitted MH; According to the follow-up plan indicator PL and the number of electronic materials to be submitted MH, the follow-up reminder advance time TA is calculated using the following formula: ； Among them, S is the patient's emphasis on follow-up; PM is the busyness of medical staff; a is the reminder advance coefficient; Based on the follow-up reminder advance time TA, the follow-up reminder time interval TB is calculated using the following formula: ； Among them, NM is the total number of follow-up reminders.

6. The method for follow-up management of tumor patients based on the Internet according to claim 5, characterized in that: The method for calculating the comprehensive information characteristic value CM is: The treatment information data include information text length TF, voice duration VF, number of pictures PF, and video duration QF; According to the information text length TF, voice duration VF, number of pictures PF and video duration QF, the information comprehensive feature value CM is calculated. The calculation formula is: ； Among them, φ1 is the weight coefficient of the information text length TF, with a value range of 0.2 to 0.4; φ2 is the weight coefficient of the voice duration VF, with a value range of 0.1 to 0.3; φ3 is the weight coefficient of the number of pictures PF, with a value range of 0.3 to 0.4; φ4 is the weight coefficient of the video duration QF, with a value range of 0.2 to 0.3; and φ1 + φ2 + φ3 + φ4 = 1; E is the information urgency level; II is the information importance level.

7. The method for follow-up management of tumor patients based on the Internet according to claim 6, characterized in that: The method for calculating the information priority LM is as follows: Based on the follow-up reminder advance time TA, the follow-up reminder time interval TB, and the information comprehensive eigenvalue CM, calculate the information priority LM. The formula is as follows: ； Among them, k1 is the weight coefficient of the follow-up reminder advance time TA, with a value range of 0.5 to 0.7; k2 is the weight coefficient of the follow-up reminder time interval TB, with a value range of 0.3 to 0.5; and k1 + k2 = 1; R is the recipient's response speed.

8. The method for follow-up management of tumor patients based on the Internet according to claim 7, characterized in that: The method for calculating the disease risk assessment index RI is as follows: The medical record information data also includes the tumor size GH and the number of lymph node metastases NS; Based on the information priority LM, age AK, tumor size GH, and the number of lymph node metastases NS, calculate the disease risk assessment index RI. The calculation formula is as follows: ； Among them, MM represents whether the tumor has metastases. If there are metastases, MM = 1; if not, MM = 0.

9. The method for follow-up management of tumor patients based on the Internet according to claim 8, characterized in that: The method for judging the patient's follow-up compliance level is as follows: The follow-up data also includes the planned number of follow-ups SD, the actual number of follow-ups AD, and the number of patient lost to follow-up LD; Based on the disease risk assessment index RI, the planned number of follow-ups SD, the actual number of follow-ups AD, and the number of patient lost to follow-up LD, calculate the follow-up compliance evaluation value CIK. The formula is as follows: ； Among them, DD is the total sum of the days deviated from the follow-up interval; TT is the average follow-up interval time; The follow-up compliance evaluation value thresholds include the follow-up compliance evaluation value threshold one CIK1 and the follow-up compliance evaluation value threshold two CIK2, and CIK1 < CIK2; When CIK ≤ CIK1, it is judged that the patient's follow-up compliance is low, and follow-up plan one is adopted; When CIK1 < CIK ≤ CIK2, it is judged that the patient's follow-up compliance is medium, and follow-up plan two is adopted; When CIK > CIK2, it is judged that the patient's follow-up compliance is high, and follow-up plan three is adopted.

10. An Internet-based follow-up management system for cancer patients, characterized in that: An information collection module for collecting the personal information data, medical record information data, treatment information data, and follow-up data of cancer patients; A follow-up plan formulation module for calculating the physical condition index P based on the personal information data; calculating the follow-up time interval F and the number of follow-up examination items NLP respectively according to the physical condition index P and the medical record information data; calculating the follow-up plan index PL according to the follow-up time interval F and the number of follow-up examination items NLP; A follow-up reminder module for calculating the follow-up reminder advance time TA according to the follow-up plan index PL and the follow-up data; Calculating the follow-up reminder time interval TB based on the follow-up reminder advance time TA; Calculate the information comprehensive characteristic value CM based on the treatment information data, and calculate the information priority LM according to the follow-up reminder advance time TA, the follow-up reminder time interval TB and the information comprehensive characteristic value CM; The level judgment module is used to calculate the disease risk assessment index RI according to the information priority LM, personal information data and medical record information data; According to the disease risk assessment index RI and follow-up data, the follow-up compliance assessment value CIK is calculated; A follow-up compliance assessment value threshold is preset, and the follow-up compliance assessment value CIK is compared with the follow-up compliance assessment value threshold. The patient's follow-up compliance level is determined based on the comparison result, and a corresponding follow-up plan is adopted.

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