CN117153360B - Intelligent management system for endoscope center - Google Patents
Intelligent management system for endoscope center Download PDFInfo
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- 238000003745 diagnosis Methods 0.000 claims abstract description 62
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- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 44
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- 238000001839 endoscopy Methods 0.000 claims description 17
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- 206010020718 hyperplasia Diseases 0.000 claims description 9
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Abstract
The invention relates to the technical field of data processing, and provides an endoscope center intelligent management system, which comprises the following components: the data acquisition module acquires relevant information of a patient needing follow-up; the diagnosis frequency rarity factor acquisition module acquires diagnosis frequency rarity factors of patients needing follow-up; the comprehensive body excellent index acquisition module acquires a comprehensive body excellent index of a patient needing follow-up; the endoscope disease priority index acquisition module acquires the endoscope disease priority index of a patient needing follow-up; the priority follow-up visit determining module obtains follow-up visit priority indexes, obtains follow-up visit priority thresholds according to the follow-up visit priority indexes of all patients needing follow-up visit, and determines the patients who follow-up visit preferentially and the follow-up visit sequence according to the follow-up visit priority thresholds and the follow-up visit priority indexes. The invention solves the problem of untimely follow-up visit caused by inaccurate evaluation of patients with preferential follow-up visit by a follow-up visit system.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an intelligent management system for an endoscope center.
Background
The number of patients in the diagnosis and treatment of the endoscope center is continuously increased, the workload of the endoscope center and doctors is increased, and meanwhile, the primary treatment is finished, and the patients discharged home are still possibly complicated in the recovery stage, so that the professional guidance of the doctors can not be obtained. Therefore, it is necessary to build an endoscope center intelligent management system by which the attending physician can know the priority order of follow-up for the patient, and at the same time, remind the patient of notice and review time according to the patient's condition to ensure the patient's recovery condition.
The existing follow-up system clusters according to the illness state of patients and the follow-up time, clusters the patients needing to be followed up in time, and reminds a doctor to carry out telephone follow-up on the patients when the follow-up time is close. However, in the process of determining the patient to be followed, the priority of the patient to be followed needs to be evaluated in advance, and the determination of the threshold value of the priority to be followed usually involves a complex association relationship and a nonlinear problem, so that the accuracy of evaluating the priority of the follow-up by using the conventional method is low.
Disclosure of Invention
The invention provides an endoscope center intelligent management system, which aims to solve the problem of untimely follow-up visit caused by inaccurate evaluation of patients who follow-up visit by a follow-up visit system, and adopts the following technical scheme:
the embodiment of the invention provides an endoscope center intelligent management system, which comprises the following modules:
the data acquisition module acquires relevant information of a patient needing follow-up;
the visit frequency rarity factor acquisition module acquires the time interval of each visit of the patient and the weight of the time interval of the visit of the patient according to the related information of the patient needing to be followed, and acquires the visit frequency rarity factor of the patient needing to be followed;
the comprehensive body excellent index acquisition module is used for acquiring a first time average value of a first neighbor set according to a time interval of patient treatment, acquiring an adjacent time interval, acquiring weight of the adjacent time interval of a patient according to relevant information of the patient in a treatment record corresponding to the adjacent time interval, acquiring a recent body weakness coefficient of the patient needing follow-up, and acquiring a comprehensive body excellent index;
the endoscope disease priority index acquisition module acquires a diagnosis prompt sequence according to an endoscope examination report of a patient needing follow-up visit, acquires a first matching value and a first matching value weight of elements in the diagnosis prompt sequence, and acquires an endoscope disease priority index of the patient needing follow-up visit;
the priority follow-up visit determining module is used for obtaining a disease priority assessment index according to an endoscopic disease priority index of a patient needing follow-up visit, obtaining a follow-up visit priority index, obtaining a follow-up visit priority threshold according to the follow-up visit priority indexes of all patients needing follow-up visit, and determining a patient and a follow-up visit sequence of the priority follow-up visit according to the follow-up visit priority threshold and the follow-up visit priority index.
Further, the relevant information of the patient who needs to be visited includes, but is not limited to, age of the patient who needs to be visited, number of visits in one year, date of each visit record, whether the patient is in hospital or not in each visit record, text part in the report of the last time of endoscopy, chinese part in the report of the last time of pathology examination, scheduled visit time of a doctor in a follow-up system, and historical follow-up times of the patient.
Further, the method for obtaining the diagnosis frequency rarity factor of the patient needing to be visited according to the related information of the patient needing to be visited includes the following steps:
taking the date of each visit of the patient needing follow-up as the date of the visit to be analyzed, and taking the date of the next visit record of the date of the visit to be analyzed and the number of days between the date of the visit to be analyzed as the time interval of the visit to be analyzed of the patient;
according to whether the patient is in a hospital or not in the visit record, acquiring the weight of the time interval of the patient visit, when the patient is in the hospital, assigning the weight of the time interval of the patient visit as a first weight value, and when the patient is not in the hospital, assigning the weight of the time interval of the patient visit as a second weight value;
the ratio of the time interval of the patient visit needing follow-up to the weight of the time interval is recorded as a first ratio of the visit;
the normalized value of the sum of the first ratios of all visits of the patient in need of the follow-up is recorded as a rarity factor of the frequency of the visits of the patient in need of the follow-up.
Further, the method for acquiring the weight of the adjacent time interval of the patient according to the relevant information of the patient in the visit record corresponding to the adjacent time interval includes the following steps:
clustering the time intervals of patient consultation to obtain a time interval set;
recording the average value of the time intervals of all patient visits contained in the time interval set as the first time average value of the time interval set;
the set with the minimum first time mean value is marked as a first neighbor set;
recording the time intervals of all patient visits contained in the first neighbor set as adjacent time intervals;
acquiring the weight of the adjacent time interval of the patient according to whether the patient is in the hospital or not in the relevant information of the patient corresponding to the adjacent time interval, and assigning the weight of the adjacent time interval as a first weight value when the patient is in the hospital in the relevant information of the patient corresponding to the adjacent time interval; and when the patient is not hospitalized in the relevant information of the patient corresponding to the adjacent time interval, assigning the weight of the adjacent time interval as a second weight value.
Further, the method for acquiring the recent physical weakness coefficient of the patient needing follow-up comprises the following steps:
the ratio of the adjacent time interval of the patient needing follow-up to the weight of the adjacent time interval is recorded as a second ratio;
the product of the sum of the second ratios of all the patients needing follow-up and the first time average value of the first neighbor set is recorded as a first product;
the sum of the first product and a first preset threshold value is recorded as a first sum value;
the ratio of the number of adjacent time intervals of the patient needing to be visited to the number of times of visit of the patient needing to be visited in one year is recorded as a third ratio;
the ratio of the third ratio to the first sum is noted as the recent physical weakness factor of the patient in need of follow-up.
Further, the method for obtaining the comprehensive body excellent index comprises the following steps:
the sum of the recent physical weakness coefficient of the patient needing follow-up and the first preset threshold value is recorded as a second sum value;
the ratio of the rarity factor of the frequency of visits to the second sum of patients in need of follow-up is recorded as the overall body wellness index of patients in need of follow-up.
Further, the method for acquiring the first matching value and the first matching value weight of the elements in the diagnosis prompt sequence by the endoscopy report of the patient which is followed according to the requirement comprises the following steps:
acquiring text parts in an endoscopy report of a patient, which is diagnosed as requiring preferential follow-up, of a report diagnosis threshold value from an endoscope center database;
capturing text contents after diagnosis prompts in text parts of an endoscopy report of each patient needing priority follow-up, dividing the captured text contents according to line-feed symbols in the text contents, and sequentially arranging a plurality of divided contents into a group of sequences to obtain diagnosis prompt sequences of each patient needing priority follow-up;
acquiring a diagnosis prompt sequence of a patient needing to be visited according to a character part in a report form of the last time of endoscopy of the patient needing to be visited and a character part in a report form of the last time of pathological examination of the patient;
matching each element in the diagnosis prompt sequence of the patient needing follow-up with each element in the diagnosis prompt sequence of each patient needing prior follow-up, when the matching is successful, marking the matching value of the element in the diagnosis prompt sequence of the patient needing follow-up and the patient needing prior follow-up as a third weight value, and when the matching is unsuccessful, marking the matching value of the element in the diagnosis prompt sequence of the patient needing follow-up and the patient needing prior follow-up as a fourth weight value;
the average value of all the matching values of the elements in the diagnosis prompt sequence of the patient needing follow-up is recorded as a first matching value of the elements;
when the elements in the diagnosis prompt sequence contain no hyperplasia, assigning the first matching value weight of the elements as a fifth weight value; when the elements in the diagnosis prompt sequence contain mild abnormal hyperplasia, assigning the first matching value weight of the elements as a sixth weight value; when the elements in the diagnosis prompt sequence contain moderate abnormal hyperplasia, assigning the first matching value weight of the elements as a seventh weight value; when the elements in the diagnosis prompt sequence contain severe dysplasia, the first matching value weight of the elements is assigned as an eighth weight value.
Further, the method for acquiring the endoscope disease priority index of the patient needing follow-up comprises the following steps:
marking the sum of the first matching value and the second preset threshold value of the elements in the diagnosis prompt sequence of the patient needing follow-up as the third sum value of the elements;
recording the product of the third sum value of the elements and the first matching value weight value of the elements as the second product of the elements;
the sum of the second products of all elements in the diagnostic prompt sequence of the patient in need of follow-up is noted as the endoscopic disease priority index of the patient in need of follow-up.
Further, the method for acquiring the follow-up priority index comprises the following steps of:
marking the sum of the comprehensive body excellent index of the patient needing follow-up and the first preset threshold value as a fourth sum value;
the ratio of the endoscopic disease priority index to the fourth sum value of the patients needing to be subjected to follow-up is recorded as the disease priority assessment index of the patients needing to be subjected to follow-up;
recording a difference value of the third preset threshold and a power of the historic follow-up times of the patient needing follow-up as an exponent based on a natural constant as a first difference value;
the sum of the number of days that the doctor scheduled follow-up time exceeds the time of the day and the second preset threshold value is recorded as a fifth sum value in the follow-up system corresponding to the patient needing follow-up;
recording the product of the fifth sum and the disease priority assessment index of the patient needing follow-up as a third product;
the ratio of the third product to the first difference is recorded as a follow-up priority index for the patient in need of follow-up.
Further, the method for acquiring the follow-up priority threshold according to the follow-up priority indexes of all patients needing follow-up and determining the patients who are subjected to the follow-up priority and the follow-up sequence according to the follow-up priority threshold and the follow-up priority indexes comprises the following steps:
dividing the follow-up priority indexes of all patients needing follow-up by using a maximum inter-class variance method, obtaining an adaptive dividing threshold value, and marking the adaptive dividing threshold value as a follow-up priority threshold value;
when the follow-up priority index of the patient needing follow-up is larger than the follow-up priority threshold, the patient is considered to need to carry out the priority follow-up;
the follow-up priority indexes of the patients needing to be subjected to the priority follow-up are ordered from big to small, and the doctor is asked to carry out the follow-up on the patients needing to be subjected to the priority follow-up according to the time schedule according to the ordered order.
The beneficial effects of the invention are as follows:
based on the related information of the patient needing follow-up, the comprehensive body excellent index of the patient needing follow-up is obtained, and the comprehensive body excellent index reflects the health degree of the physical condition of the patient; then, according to the endoscopy report form and the pathological examination report form of the endoscope center of the patient, combining the endoscopy report form of the patient which is diagnosed to be subjected to follow-up in the endoscope center database, acquiring the priority index of the endoscope diseases of the patient which is subjected to follow-up, wherein the priority index of the endoscope diseases reflects the priority degree of the illness state of the endoscope center of the patient; finally, the patient condition priority assessment index of the patient needing to be visited is combined with the patient history visit times and the preset visit date in the follow-up system to obtain the follow-up priority index, the follow-up priority index can reflect the priority degree of patient follow-up, the follow-up priority threshold is obtained according to the follow-up priority indexes of all the patients needing to be visited, the patient and the follow-up sequence of the priority follow-up are determined according to the follow-up priority threshold and the follow-up priority index, and the problems of untimely follow-up caused by low determination accuracy of the follow-up system on the threshold of the priority follow-up are solved according to the physical condition of the patient to be visited, the disease condition of the endoscope and the cognitive ability of the patient.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a schematic flow chart of an intelligent management system for an endoscope center according to an embodiment of the present invention;
fig. 2 is a schematic diagram of time intervals for patient visits.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flowchart of an endoscope center intelligent management system according to an embodiment of the invention is shown, the system includes: the system comprises a data acquisition module, a visit frequency rarity factor acquisition module, a comprehensive body excellent index acquisition module, an endoscope disease priority index acquisition module and a priority follow-up determination module.
And the data acquisition module is used for acquiring relevant information of the patient needing follow-up.
And (3) information acquisition is carried out on the patient needing follow-up visit by using a crawler technology, and relevant information of the patient needing follow-up visit in the hospital information management system is crawled. The relevant information of the patient comprises age, the number of times of treatment in one year, the date of each treatment record, whether the patient is in a hospital or not in each treatment record, a text part in a last endoscopy report of the patient, a text part in a last pathology examination report of the patient, the scheduled follow-up time of a doctor in a follow-up system and the historical follow-up times of the patient.
To this end, information about the patient who needs to be followed up is acquired.
The visit frequency rarity factor acquisition module acquires the time interval of each visit of the patient and the weight of the time interval of the visit of the patient according to the related information of the patient needing to be followed, and acquires the visit frequency rarity factor of the patient needing to be followed.
If the patient has more and more serious basic diseases, the patient has poorer physical state, more medical attention and support are generally required to be provided for the patient with poorer physical state, and preferential follow-up is carried out, so that the patient with poorer physical state is ensured to be timely serviced. In general, a patient will go to a hospital to make a registration visit only when the patient is ill or feels bad, so the more patients go to the hospital for a year, the worse the patient's physical condition. Meanwhile, patients with serious illness and long treatment time can be scheduled to be hospitalized, so that whether the patients are hospitalized or not after the visit can also show the illness severity of the patients who visit the visit.
The date of each visit of the patient needing follow-up is taken as the date of the visit to be analyzed, and the date between the date of the next visit record of the date of the visit to be analyzed and the date of the visit to be analyzed is taken as the time interval of the visit to be analyzed of the patient. A schematic of the time intervals for patient visits is shown in figure 2.
The smaller the time interval between patient visits, the more frequent the two adjacent patient visits, which indicates that the patient's condition is more likely to relapse or worsen, resulting in poor patient's physical condition.
The weight of the time interval for taking a patient visit is based on whether the patient is hospitalized in the visit record. When the patient is in hospital at the time of the visit, the weight of the time interval of the patient visit is assigned as a first weight value; when the patient is not hospitalized at the time of the visit, the weight of the time interval of the patient visit is assigned to the second weight value. Wherein the empirical values of the first weight value and the second weight value are 2 and 1, respectively.
Acquiring a rarity factor of the patient visit frequency of the patient needing to be visited according to the time interval of the patient visit needing to be visited and the weight of the time interval of the patient visit;
;
in the formula, PHI i A rarity factor for the frequency of visits for the ith patient in need of follow-up;time interval of the gamma visit for the ith patient in need of follow-up, where gamma = 1,2, …, a i -1；a i The number of visits in one year for the ith patient requiring follow-up; />Weighting the time interval of the ith visit for the ith patient requiring follow-up; norm () is a normalization function, acting as a normalization value in brackets.
When the time interval of the visit of the patient requiring the follow-up is smaller and the weight of the time interval of the visit is larger, the less frequent factor of the visit of the patient is smaller, namely, the worse the physical condition of the patient requiring the follow-up is.
To this end, the frequency of visits by patients requiring follow-up is obtained as a rarity factor.
The comprehensive body excellent index acquisition module acquires a first time average value of a first neighbor set according to a time interval of patient treatment, acquires an adjacent time interval, acquires weight of the adjacent time interval of a patient according to relevant information of the patient in a treatment record corresponding to the adjacent time interval, acquires a recent body weakness coefficient of the patient needing follow-up, and acquires a comprehensive body excellent index.
The rarity factor of the patient needing follow-up visit is an evaluation of the overall physical condition of the patient within one year, and if the physical condition of the patient is obviously improved within one year, the evaluation of the physical condition of the patient by the rarity factor of the patient is not accurate any more. For example, in the early stages of the year, the patient's physical condition is poor, the frequency of visits is high, but the condition of the later stage patient is effectively controlled, and the physical condition is good, but the high frequency of the early stage of the year leads to the low frequency of the patient's visits by a factor of less.
The patient has more frequent medical visits in the early stage of one year, the overall physical condition is better, but the illness state of the patient is effectively controlled in the later stage of one year, the physical condition of the patient is better for the intelligent management follow-up system, but the changed medical visits have a small rarity factor. In order to evaluate the physical condition of the patient more accurately, the physical condition of the patient is analyzed according to the distribution of the time intervals of the patient's visit in the recent year.
And clustering the time intervals of patient visit by using a K-means clustering algorithm to obtain K time interval sets. Wherein, the empirical value of the number K of the time interval sets is 3, and the K-means clustering algorithm is a known technique and will not be described again.
The average value of the time intervals of all patient visits contained in the time interval set is recorded as a first time average value of the time interval set, and the set with the minimum first time average value is recorded as a first neighbor set.
When the first time mean value of the first neighbor set is smaller, the average time interval for the recent patient to visit the hospital is shorter, i.e. the more frequent the recent patient visits, the worse the recent physical condition of the patient.
The time interval for all patient visits contained in the first neighbor set is noted as the adjacent time interval.
The greater the number of adjacent time intervals for a patient requiring follow-up, the greater the number of recent hospital visits the patient has to visit.
Acquiring the weight of the adjacent time interval of the patient according to whether the patient is in the hospital or not in the relevant information of the patient corresponding to the adjacent time interval, and assigning the weight of the adjacent time interval as a first weight value when the patient is in the hospital in the relevant information of the patient corresponding to the adjacent time interval; and when the patient is not hospitalized in the relevant information of the patient corresponding to the adjacent time interval, assigning the weight of the adjacent time interval as a second weight value.
Acquiring the recent physical weakness coefficient of the patient needing follow-up according to the adjacent time interval and the weight of the adjacent time interval;
;
in PFC (Power factor correction) i Recent physical weakness coefficients for the ith patient in need of follow-up;a delta next interval for the ith patient in need of follow-up, where delta = 1,2, …, r; />Weighting the delta next interval for the i-th patient in need of follow-up; r is the number of adjacent time intervals for the ith patient for whom follow-up is desired; a, a i The number of visits in one year for the ith patient requiring follow-up; />A first time average value that is a first neighbor set; a, a 1 For the first preset threshold, the function is to prevent the denominator from being 0 and making the denominator meaningless, and the empirical value is 1.
The greater the number of adjacent time intervals for a patient requiring follow-up, the smaller the first time average of the first neighbor set, the smaller the adjacent time intervals for a patient requiring follow-up, the greater the number of adjacent time intervals, the greater the recent physical weakness factor for a patient requiring follow-up, and the worse the physical condition of the patient.
Acquiring a comprehensive body excellent index according to the rarity factors of the frequency of the visit and the recent body weakness coefficient of the patient needing follow-up;
;
in PC i A comprehensive body wellness index for the ith patient in need of follow-up; PHI (PHI) i A rarity factor for the frequency of visits for the ith patient in need of follow-up; PFC (Power factor correction) i Recent physical weakness coefficients for the ith patient in need of follow-up; a, a 1 For the first preset threshold, the function is to prevent the denominator from being 0 and making the denominator meaningless, and the empirical value is 1.
When the frequency of visits of patients requiring follow-up is smaller, the more recent physical weakness coefficient is larger, the less comprehensive physical superiority index of the patient is smaller, i.e. the frequency of visits of the patient to the hospital is higher, the number of hospitalization is higher, and the recent physical condition is worse.
After the patient with smaller comprehensive body excellent index is treated by the endoscope center, the patient has poor physical condition and weak recovery capability, and the possibility of abnormal complications of the patient is high, so that the patient should be suitably followed up to prevent the exacerbation of the patient.
To this end, a comprehensive body wellness index is obtained for the patient in need of follow-up.
And the endoscope disease priority index acquisition module acquires a diagnosis prompt sequence according to an endoscope examination report of a patient needing follow-up visit, acquires a first matching value and a first matching value weight of elements in the diagnosis prompt sequence, and acquires the endoscope disease priority index of the patient needing follow-up visit.
According to the result of the endoscopy performed by the patient in the endoscope center, the health condition of the patient is worse when the under-scope lesions are more serious.
The more diagnostic cues for the patient's endoscopy report and pathology report, the more severe the patient's condition, the more should follow-up be prioritized. For example, when no obvious abnormality or chronic superficial gastritis appears in the diagnosis prompt, the patient's illness is light and the patient is in line with the doctor's advice and can be treated in time, if other symptoms such as rotten gastritis and antral ulcer are also present in the diagnosis prompt, the illness is serious and follow-up should be carried out preferentially.
The crawler technique is used to obtain from the endoscopy central database the text portion of the report diagnostic threshold number of endoscopy reports for patients who have been diagnosed as requiring preferential follow-up. The regular expression of a re module is used by the programming language such as python to capture the text content after 'diagnosis prompt' in the text part of the endoscopy report of each patient needing to be visited preferentially, the captured text content is divided according to line changing symbols in the text content, and the divided contents are sequentially arranged into a group of sequences to obtain the diagnosis prompt sequence of each patient needing to be visited preferentially. Wherein the empirical value of the report diagnostic threshold is 500.
Each element in the sequence of diagnostic cues corresponds to a diagnostic cue.
And similarly, acquiring a diagnosis prompt sequence of the patient needing to be visited according to the text part in the report form of the last endoscopic examination of the patient needing to be visited and the text part in the report form of the last pathological examination of the patient.
And matching each element in the diagnosis prompt sequence of the patient needing follow-up with each element in the diagnosis prompt sequence of each patient needing prior follow-up, when the matching is successful, marking the matching value of the element in the diagnosis prompt sequence of the patient needing follow-up and the matched patient needing prior follow-up as a third weight value, and when the matching is unsuccessful, marking the matching value of the element in the diagnosis prompt sequence of the patient needing follow-up and the matched patient needing prior follow-up as a fourth weight value. Wherein the empirical values of the third weight value and the fourth weight value are 1 and 0, respectively.
The mean of all the matching values of the elements in the diagnostic prompt sequence of the patient requiring follow-up is recorded as the first matching value of the element.
When the first matching value of the element in the diagnosis prompt sequence of the patient needing to be visited is larger, the diagnosis prompt of the patient needing to be visited is closer to the diagnosis prompt of the patient needing to be visited preferentially, and the probability of carrying out the preferential follow-up on the patient needing to be visited is higher.
When the elements in the diagnosis prompt sequence contain no hyperplasia, assigning the first matching value weight of the elements as a fifth weight value; when the elements in the diagnosis prompt sequence contain mild abnormal hyperplasia, assigning the first matching value weight of the elements as a sixth weight value; when the elements in the diagnosis prompt sequence contain moderate abnormal hyperplasia, assigning the first matching value weight of the elements as a seventh weight value; when the elements in the diagnosis prompt sequence contain severe dysplasia, the first matching value weight of the elements is assigned as an eighth weight value. Wherein the empirical values of the fifth weight value, the sixth weight value, the seventh weight value and the eighth weight value are respectively 1,2, 3 and 4.
Acquiring an endoscopic disease priority index of a patient needing follow-up according to a first matching value and a first matching value weight of elements in a diagnosis prompt sequence of the patient needing follow-up;
;
in VF i An endoscopic disease priority index for the ith patient in need of follow-up; g is the number of all elements contained in the diagnostic cue sequence of the ith patient for whom follow-up is desired; v (V) i,u A first matching value for a u-th element in a diagnostic cue sequence for an i-th patient in need of follow-up, where u = 1,2, …, g; VM (virtual machine) i,u A first matching value weight of a u-th element in a diagnosis prompt sequence of an i-th patient needing follow-up; a, a 2 For the second preset threshold, the empirical value is 1.
When the first matching value of the element in the diagnosis prompt sequence of the patient requiring the follow-up is larger and the first matching value weight is larger, the larger the endoscope disease priority index of the patient requiring the follow-up is, the more the patient should be scheduled for the priority follow-up.
To this end, an endoscopic disease priority index is obtained for the patient who needs to be followed.
The priority follow-up visit determining module is used for obtaining a disease priority assessment index according to an endoscopic disease priority index of a patient needing follow-up visit, obtaining a follow-up visit priority index, obtaining a follow-up visit priority threshold according to the follow-up visit priority indexes of all patients needing follow-up visit, and determining a patient and a follow-up visit sequence of the priority follow-up visit according to the follow-up visit priority threshold and the follow-up visit priority index.
Acquiring a disease priority assessment index of a patient needing to be visited according to the comprehensive body excellent index and the endoscope disease priority index of the patient needing to be visited;
;
wherein V is i A priority assessment index for the condition of the ith patient in need of follow-up; PC (personal computer) i A comprehensive body wellness index for the ith patient in need of follow-up; VF (VF) i An endoscopic disease priority index for the ith patient in need of follow-up; a, a 1 For the first preset threshold, the function is to prevent the denominator from being 0 and making the denominator meaningless, and the empirical value is 1.
When the overall physical well-being index of the patient requiring follow-up is smaller and the endoscope disease priority index is larger, the disease priority evaluation index of the patient requiring follow-up is larger, that is, the patient should be scheduled for priority follow-up.
The fewer the number of historical follow-up visits to a patient in need of follow-up, the less familiar the patient is with the follow-up procedure, the less experience the patient follows, and the more likely it is to ignore abnormalities in physical changes in daily life, so these patients should be followed up preferentially. While patients beyond the predetermined follow-up time should be given a priority follow-up.
Based on the analysis, acquiring a follow-up priority index according to the disease priority evaluation index of the patient needing follow-up;
;
wherein F is i A follow-up priority index for the ith patient in need of follow-up; v (V) i A priority assessment index for the condition of the ith patient in need of follow-up; a, a 2 The empirical value is 1 for a second preset threshold; a, a 3 The third preset threshold value is the empirical value of 1; e is a natural constant; LSN (LSN) i Historical follow-up times for the ith patient requiring follow-up; LS (least squares) i The scheduled follow-up time of the doctor in the follow-up system corresponding to the ith patient needing follow-up exceeds the day of the time of day, and when the day of the time is earlier than the scheduled follow-up time of the doctor in the follow-up system corresponding to the patient needing follow-up, the constant value 0 is taken.
When the patient's condition priority evaluation index for the follow-up is larger, the number of days the physician in the follow-up system scheduled the follow-up time exceeds the time of day is larger, and the number of historical follow-up times of the patient for the follow-up is smaller, the patient for the follow-up should be scheduled with priority follow-up.
And dividing the follow-up priority indexes of all patients needing follow-up by using a maximum inter-class variance method, acquiring an adaptive dividing threshold value, and marking the adaptive dividing threshold value as a follow-up priority threshold value. The maximum inter-class variance method is a well-known technique and will not be described in detail.
When the follow-up priority index of the patient needing follow-up is larger than the follow-up priority threshold, the patient is considered to need to carry out the priority follow-up. The follow-up priority indexes of the patients needing to be subjected to the priority follow-up are ordered from big to small, a doctor is asked to follow-up the patients needing to be subjected to the priority follow-up according to the time arrangement according to the ordering order, the recent physical condition of the patients, the abnormal condition and the professional guidance are inquired for the patients, meanwhile, the patient is reminded of notes and review time, and the continuity of subsequent diagnosis and treatment is guaranteed.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. The foregoing description of the preferred embodiments of the present invention is not intended to be limiting, but rather, any modifications, equivalents, improvements, etc. that fall within the principles of the present invention are intended to be included within the scope of the present invention.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the invention, but any modifications, equivalent substitutions, improvements, etc. within the principles of the present invention should be included in the scope of the present invention.
Claims (4)
1. An endoscope center intelligent management system is characterized by comprising the following modules:
the data acquisition module acquires relevant information of a patient needing follow-up;
the visit frequency rarity factor acquisition module acquires the time interval of each visit of the patient and the weight of the time interval of the visit of the patient according to the related information of the patient needing to be followed, and acquires the visit frequency rarity factor of the patient needing to be followed;
the comprehensive body excellent index acquisition module is used for acquiring a first time average value of a first neighbor set according to a time interval of patient treatment, acquiring an adjacent time interval, acquiring weight of the adjacent time interval of a patient according to relevant information of the patient in a treatment record corresponding to the adjacent time interval, acquiring a recent body weakness coefficient of the patient needing follow-up, and acquiring a comprehensive body excellent index;
the endoscope disease priority index acquisition module acquires a diagnosis prompt sequence according to an endoscope examination report of a patient needing follow-up visit, acquires a first matching value and a first matching value weight of elements in the diagnosis prompt sequence, and acquires an endoscope disease priority index of the patient needing follow-up visit;
the priority follow-up visit determining module is used for acquiring a disease priority assessment index according to an endoscopic disease priority index of a patient needing follow-up visit, acquiring a follow-up visit priority index, acquiring a follow-up visit priority threshold according to the follow-up visit priority indexes of all patients needing follow-up visit, and determining a patient and a follow-up visit sequence of the priority follow-up visit according to the follow-up visit priority threshold and the follow-up visit priority index;
the relevant information of the patient needing to be visited includes, but is not limited to, the age of the patient needing to be visited, the number of visits in one year, the date of each visit record, whether the patient is in a hospital or not in each visit record, the text part in the last endoscopy report of the patient, the text part in the last pathology examination report of the patient, the visit time scheduled by a diagnostician in a follow-up system and the historical follow-up times of the patient;
the method for acquiring the weight of the adjacent time interval of the patient according to the relevant information of the patient in the diagnosis record corresponding to the adjacent time interval comprises the following steps:
clustering the time intervals of patient consultation to obtain a time interval set;
recording the average value of the time intervals of all patient visits contained in the time interval set as the first time average value of the time interval set;
the set with the minimum first time mean value is marked as a first neighbor set;
recording the time intervals of all patient visits contained in the first neighbor set as adjacent time intervals;
acquiring the weight of the adjacent time interval of the patient according to whether the patient is in the hospital or not in the relevant information of the patient corresponding to the adjacent time interval, and assigning the weight of the adjacent time interval as a first weight value when the patient is in the hospital in the relevant information of the patient corresponding to the adjacent time interval; when the patient is not hospitalized in the relevant information of the patient corresponding to the adjacent time interval, the weight of the adjacent time interval is assigned to be a second weight value;
the method for acquiring the recent physical weakness coefficient of the patient needing follow-up comprises the following steps:
the ratio of the adjacent time interval of the patient needing follow-up to the weight of the adjacent time interval is recorded as a second ratio;
the product of the sum of the second ratios of all the patients needing follow-up and the first time average value of the first neighbor set is recorded as a first product;
the sum of the first product and a first preset threshold value is recorded as a first sum value;
the ratio of the number of adjacent time intervals of the patient needing to be visited to the number of times of visit of the patient needing to be visited in one year is recorded as a third ratio;
recording the ratio of the third ratio to the first sum as a recent physical weakness factor for the patient in need of follow-up;
the method for obtaining the comprehensive body excellent index comprises the following steps:
the sum of the recent physical weakness coefficient of the patient needing follow-up and the first preset threshold value is recorded as a second sum value;
the ratio of the treatment frequency rarity factor to the second sum value of the patient needing to be subjected to follow-up is recorded as the comprehensive body superiority index of the patient needing to be subjected to follow-up;
the method for acquiring the first matching value and the first matching value weight of the elements in the diagnosis prompt sequence comprises the following steps of:
acquiring text parts in an endoscopy report of a patient, which is diagnosed as requiring preferential follow-up, of a report diagnosis threshold value from an endoscope center database;
capturing text contents after diagnosis prompts in text parts of an endoscopy report of each patient needing priority follow-up, dividing the captured text contents according to line-feed symbols in the text contents, and sequentially arranging a plurality of divided contents into a group of sequences to obtain diagnosis prompt sequences of each patient needing priority follow-up;
acquiring a diagnosis prompt sequence of a patient needing to be visited according to a character part in a report form of the last time of endoscopy of the patient needing to be visited and a character part in a report form of the last time of pathological examination of the patient;
matching each element in the diagnosis prompt sequence of the patient needing follow-up with each element in the diagnosis prompt sequence of each patient needing prior follow-up, when the matching is successful, marking the matching value of the element in the diagnosis prompt sequence of the patient needing follow-up and the patient needing prior follow-up as a third weight value, and when the matching is unsuccessful, marking the matching value of the element in the diagnosis prompt sequence of the patient needing follow-up and the patient needing prior follow-up as a fourth weight value;
the average value of all the matching values of the elements in the diagnosis prompt sequence of the patient needing follow-up is recorded as a first matching value of the elements;
when the elements in the diagnosis prompt sequence contain no hyperplasia, assigning the first matching value weight of the elements as a fifth weight value; when the elements in the diagnosis prompt sequence contain mild abnormal hyperplasia, assigning the first matching value weight of the elements as a sixth weight value; when the elements in the diagnosis prompt sequence contain moderate abnormal hyperplasia, assigning the first matching value weight of the elements as a seventh weight value; when the elements in the diagnosis prompt sequence contain severe dysplasia, assigning the first matching value weight of the elements as an eighth weight value;
the method for acquiring the endoscope disease priority index of the patient needing follow-up comprises the following steps:
marking the sum of the first matching value and the second preset threshold value of the elements in the diagnosis prompt sequence of the patient needing follow-up as the third sum value of the elements;
recording the product of the third sum value of the elements and the first matching value weight value of the elements as the second product of the elements;
marking the sum of the second products of all elements in the diagnosis prompt sequence of the patient needing to be subjected to follow-up as an endoscopic disease priority index of the patient needing to be subjected to follow-up;
the method for acquiring the follow-up priority index comprises the following steps of:
marking the sum of the comprehensive body excellent index of the patient needing follow-up and the first preset threshold value as a fourth sum value;
the ratio of the endoscopic disease priority index to the fourth sum value of the patients needing to be subjected to follow-up is recorded as the disease priority assessment index of the patients needing to be subjected to follow-up;
recording a difference value of the third preset threshold and a power of the historic follow-up times of the patient needing follow-up as an exponent based on a natural constant as a first difference value;
the sum of the number of days that the doctor scheduled follow-up time exceeds the time of the day and the second preset threshold value is recorded as a fifth sum value in the follow-up system corresponding to the patient needing follow-up;
recording the product of the fifth sum and the disease priority assessment index of the patient needing follow-up as a third product;
the ratio of the third product to the first difference is recorded as a follow-up priority index for the patient in need of follow-up.
2. The intelligent management system of an endoscope center according to claim 1, wherein the method for acquiring the time interval of each visit of the patient and the weight of the time interval of the visit of the patient according to the related information of the patient needing to be followed by acquiring the rarity factor of the visit frequency of the patient needing to be followed by the following steps:
taking the date of each visit of the patient needing follow-up as the date of the visit to be analyzed, and taking the date of the next visit record of the date of the visit to be analyzed and the number of days between the date of the visit to be analyzed as the time interval of the visit to be analyzed of the patient;
according to whether the patient is in a hospital or not in the visit record, acquiring the weight of the time interval of the patient visit, when the patient is in the hospital, assigning the weight of the time interval of the patient visit as a first weight value, and when the patient is not in the hospital, assigning the weight of the time interval of the patient visit as a second weight value;
the ratio of the time interval of the patient visit needing follow-up to the weight of the time interval is recorded as a first ratio of the visit;
the normalized value of the sum of the first ratios of all visits of the patient in need of the follow-up is recorded as a rarity factor of the frequency of the visits of the patient in need of the follow-up.
3. The intelligent management system of an endoscope center according to claim 1, wherein the method for acquiring the disease priority assessment index according to the endoscope disease priority index of the patient to be followed comprises the following steps:
marking the sum of the comprehensive body excellent index of the patient needing follow-up and the first preset threshold value as a fourth sum value;
the ratio of the endoscopic disease priority index to the fourth sum value of the patients needing to be subjected to follow-up is recorded as the disease priority assessment index of the patients needing to be subjected to follow-up;
recording a difference value of the third preset threshold and a power of the historic follow-up times of the patient needing follow-up as an exponent based on a natural constant as a first difference value;
the sum of the number of days that the doctor scheduled follow-up time exceeds the time of the day and the second preset threshold value is recorded as a fifth sum value in the follow-up system corresponding to the patient needing follow-up;
recording the product of the fifth sum and the disease priority assessment index of the patient needing follow-up as a third product;
the ratio of the third product to the first difference is recorded as a follow-up priority index for the patient in need of follow-up.
4. The endoscope center intelligent management system according to claim 1, wherein the method for acquiring the follow-up priority threshold according to the follow-up priority index of all patients needing follow-up and determining the patient and the follow-up sequence of the priority follow-up according to the follow-up priority threshold and the follow-up priority index is as follows:
dividing the follow-up priority indexes of all patients needing follow-up by using a maximum inter-class variance method, obtaining an adaptive dividing threshold value, and marking the adaptive dividing threshold value as a follow-up priority threshold value;
when the follow-up priority index of the patient needing follow-up is larger than the follow-up priority threshold, the patient is considered to need to carry out the priority follow-up;
the follow-up priority indexes of the patients needing to be subjected to the priority follow-up are ordered from big to small, and the doctor is asked to carry out the follow-up on the patients needing to be subjected to the priority follow-up according to the time schedule according to the ordered order.
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| CN115985523A (en) * | 2023-02-02 | 2023-04-18 | 南京市妇幼保健院 | Digital chronic disease follow-up management system |
| CN116580830A (en) * | 2023-07-11 | 2023-08-11 | 云天智能信息(深圳)有限公司 | Remote intelligent medical service system based on cloud platform |
| CN116779190A (en) * | 2023-06-25 | 2023-09-19 | 急尼优医药科技(上海)有限公司 | Medical platform user follow-up management system and method based on Internet of things |
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| CN115985523A (en) * | 2023-02-02 | 2023-04-18 | 南京市妇幼保健院 | Digital chronic disease follow-up management system |
| CN116779190A (en) * | 2023-06-25 | 2023-09-19 | 急尼优医药科技(上海)有限公司 | Medical platform user follow-up management system and method based on Internet of things |
| CN116580830A (en) * | 2023-07-11 | 2023-08-11 | 云天智能信息(深圳)有限公司 | Remote intelligent medical service system based on cloud platform |
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