An information management method and system based on chronic kidney disease nursing data

Abstract

The present invention relates to the field of nursing data information management technology, an information management method and system based on chronic kidney disease nursing data, including: if the associated time series hospitalization data does not meet the discharge standard, the hospitalization associated replacement value is calculated, if it meets the discharge standard, the hospitalization associated interaction curve is drawn according to the hospitalization associated replacement value set, and the hospitalization interaction score value of the hospitalization associated interaction curve is calculated; if the associated time series home data does not meet the rehabilitation standard, the home associated replacement value of the home similar time series data set is calculated, if it meets the rehabilitation standard, the home associated interaction curve is drawn according to the home associated replacement value set, and the home interaction score value is calculated; according to the hospitalization interaction score value and the home interaction score value, the information management comprehensive score value is calculated. The present invention can solve the problem of low management accuracy in the current management of examination data for patients with chronic kidney disease.

Description

Technical Field

[0001] The present invention relates to the technical field of nursing data information management, and in particular to an information management method and system based on chronic kidney disease nursing data. Background Art

[0002] Chronic Kidney Disease (CKD) is a common chronic disease with high prevalence, low awareness and poor prognosis. In the actual medical care process, the medical data management of patients with CKD faces many challenges.

[0003] China currently lacks a unified and complete information technology standard, which results in patients' home health management lacking the support of hospital examination data, while hospitals lack long-term and effective vital sign data monitoring during treatment. This information gap is not conducive to controlling the progression of chronic kidney disease in patients and it is difficult to effectively improve the quality of life of patients.

[0004] The examination data of patients with chronic kidney disease have great data value, but there is currently no complete method for assessing the value of examination data. Obviously, when the value of examination data is low, the amount of examination data can be increased to improve the reference value of the examination data, but there is currently no effective method to determine the incremental threshold of examination data (that is, when the amount of examination data increases to a certain extent, the reference value of the examination data has been increased to a higher level. Therefore, increasing the amount of examination data is of little significance for improving the reference value of the examination data). Therefore, the current management of examination data for patients with chronic kidney disease has the problem of low management accuracy. Summary of the invention

[0005] The present invention provides an information management method and system based on chronic kidney disease nursing data, the main purpose of which is to solve the problem of low management accuracy in the current examination data management of chronic kidney disease patients.

[0006] To achieve the above objectives, the present invention provides an information management method based on chronic kidney disease nursing data, comprising:

[0007] Acquire inpatient time series examination data, and identify an inpatient similar time series data set of the inpatient time series examination data in a pre-constructed inpatient data time series storage unit;

[0008] Using the hospitalization similar time series data set to perform hospitalization-associated storage on the hospitalization time series examination data to obtain associated time series hospitalization data;

[0009] Determining whether the associated time-series hospitalization data meets preset discharge criteria;

[0010] If the associated time series hospitalization data does not meet the discharge criteria, the hospitalization associated replacement value of the hospitalization similar time series data set is calculated, and the process of obtaining the hospitalization time series examination data is returned to the above step;

[0011] If the associated time series hospitalization data meets the discharge criteria, all hospitalization associated replacement values ​​are summarized to obtain a hospitalization associated replacement value set, and a hospitalization associated interaction curve is drawn according to the hospitalization associated replacement value set;

[0012] Calculating the inpatient interaction score value of the inpatient association interaction curve using a pre-constructed interaction score formula;

[0013] Acquire home time series inspection data, and identify a home similar time series data set of the home time series inspection data in a pre-built home data time series storage unit;

[0014] Using the home similar time series data set to perform home-associated storage on the home time series inspection data to obtain associated time series home data;

[0015] Determining whether the associated time-series home data meets a preset rehabilitation standard;

[0016] If the associated time-series home data does not meet the rehabilitation standard, then calculating the home-associated replacement value of the home-similar time-series data set, and returning to the above step of obtaining the home-similar time-series examination data;

[0017] If the associated time-series home data meets the rehabilitation standard, all home-associated replacement values ​​are summarized to obtain a home-associated replacement value set, and a home-associated interaction curve is drawn according to the home-associated replacement value set;

[0018] Calculating the home interaction score value of the home association interaction curve using the interaction score formula;

[0019] According to the inpatient interaction score and the home interaction score, a pre-constructed comprehensive scoring formula is used to calculate the information management comprehensive score of chronic kidney disease nursing data, thereby completing the information management based on chronic kidney disease nursing data.

[0020] Optionally, the step of identifying a hospitalization similar time series data set of the hospitalization time series examination data in a pre-constructed hospitalization data time series storage unit comprises:

[0021] Extracting single hospitalization examination data in sequence from the hospitalization time series examination data according to the preset physical sign examination time;

[0022] identifying an abnormal indicator inspection data set in the single hospitalization inspection data;

[0023] identifying an initial similar inspection data set in the hospitalization data time series storage unit according to the abnormal indicator inspection data set;

[0024] Initial similar examination data are sequentially extracted from the initial similar examination data set, and the matching similarity between the initial similar examination data and the single hospitalization examination data is calculated using a pre-constructed similarity formula, wherein the similarity formula is as follows:

[0025] ,

[0026] in, Indicates the matching similarity. Indicates the total number of physical examination indicators. represents the similarity weight of the i-th physical examination index, It represents the single examination value of the ith physical examination index in a single hospitalization examination data. Represents the similar examination value of the i-th physical sign examination index in the initial similar examination data;

[0027] Determining whether the matching similarity is greater than a preset matching similarity threshold;

[0028] If the matching similarity is greater than the matching similarity threshold, identifying the hospitalization number associated with the initial similar examination data, and determining whether the initial similar examination data has been extracted;

[0029] If the initial similarity check data has not been extracted, return to the above step of sequentially extracting the initial similarity check data from the initial similarity check data set;

[0030] If the initial similar examination data is extracted, all associated hospitalization numbers are summarized to obtain an associated hospitalization number set;

[0031] If the matching similarity is not greater than the matching similarity threshold, determining whether the initial similarity check data has been extracted;

[0032] If the initial similarity check data has not been extracted, return to the above step of sequentially extracting the initial similarity check data from the initial similarity check data set;

[0033] If the initial similar examination data is extracted, all associated hospitalization numbers are summarized to obtain an associated hospitalization number set;

[0034] Identify the number of associated hospitalization numbers in the associated hospitalization number set, and determine whether the number of associated hospitalization numbers is 1;

[0035] If the number of associated hospitalization numbers is 1, the associated hospitalization data corresponding to the associated hospitalization number will be identified, and the associated hospitalization data will be used as a hospitalization similar time series data set;

[0036] If the number of associated hospitalization numbers is not 1, identifying an associated hospitalization data set corresponding to the associated hospitalization number set, and using the associated hospitalization data set to perform a preset matching data update on the hospitalization data time series storage unit;

[0037] Determining whether the single hospitalization examination data has been extracted;

[0038] If the single hospitalization examination data has not been extracted, return to the above step of sequentially extracting the single hospitalization examination data from the hospitalization time series examination data according to the preset physical sign examination time;

[0039] If the single hospitalization examination data is extracted, the associated hospitalization data set is used as a hospitalization similar time series data set.

[0040] Optionally, the using the hospitalization similar time series data set to perform hospitalization-associated storage on the hospitalization time series examination data to obtain associated time series hospitalization data includes:

[0041] storing the hospitalization time series examination data into the hospitalization data time series storage unit to obtain hospitalization time series storage data;

[0042] The hospitalization time series storage data is associated with the hospitalization similar time series data set to obtain associated time series hospitalization data.

[0043] Optionally, the calculating the hospitalization-related replacement value of the hospitalization similar time series data set includes:

[0044] Acquire a historical temporal examination data set of the inpatient temporal examination data, and sequentially extract historical temporal examination data from the historical temporal examination data set;

[0045] Identify the historical association number sets corresponding to the historical timing inspection data to obtain multiple groups of historical association number sets;

[0046] The pre-built association replacement formula is used to calculate the hospitalization association replacement value according to the multiple sets of historical association number sets, wherein the association replacement formula is as follows:

[0047] ,

[0048] in, represents the hospitalization-related replacement value, Indicates the number of groups of historical association number sets, represents the j-1th set of historical association numbers, represents the jth set of historical association numbers, represents the intersection symbol, Represents the statistical symbol of the number of elements in a collection.

[0049] Optionally, drawing a hospitalization-related interaction curve according to the hospitalization-related replacement value set includes:

[0050] sequentially extracting hospitalization-related replacement values ​​from the hospitalization-related replacement value set;

[0051] Identify the physical sign examination time corresponding to the hospitalization-related replacement value;

[0052] According to the hospitalization-related replacement value and the physical sign examination time, points are drawn in a pre-constructed and associated interactive coordinate system to obtain a hospitalization-related scatter point set, wherein the horizontal axis of the associated interactive coordinate system represents the hospitalization time, and the vertical axis represents the hospitalization-related replacement value;

[0053] The hospitalization-related scatter point set is fitted to obtain a hospitalization-related interaction curve.

[0054] Optionally, the calculating the hospitalization interaction score value of the hospitalization-related interaction curve by using a pre-constructed interaction score formula includes:

[0055] receiving a hospitalization standard interactive curve input by a user;

[0056] The pre-constructed interaction scoring formula is used to calculate the integral difference between the hospitalization standard interaction curve and the hospitalization association interaction curve to obtain a hospitalization interaction score value. The interaction scoring formula is as follows:

[0057] ,

[0058] in, represents the hospitalization interaction score value, Indicates the time of admission, Indicates the time of discharge from hospital, represents the integral value of the hospitalization standard interaction curve with respect to the hospitalization time, represents the integral value of the hospitalization-related interaction curve with respect to the hospitalization time, Represents the absolute value symbol.

[0059] Optionally, before identifying the home similar time series data set of the home time series inspection data in the pre-built home data time series storage unit, the method further includes:

[0060] Obtain time series data of home patients from discharged patients;

[0061] The home data time series storage unit is used to update the storage data using the home patient time series data.

[0062] Optionally, the comprehensive scoring formula is as follows:

[0063] ,

[0064] in, Indicates the comprehensive score of information management. represents the adjustment coefficient, represents the hospitalization interaction score value, Represents the home interaction score value.

[0065] Optionally, after calculating the information management comprehensive score of chronic kidney disease nursing data according to the inpatient interaction score and the home interaction score using a pre-constructed comprehensive score formula, the method further includes:

[0066] Obtain an information management score gradient set, and identify a target management score gradient corresponding to the information management comprehensive score value in the information management score gradient set;

[0067] The target management level corresponding to the target management score gradient is identified, and data is supplemented in the hospitalization data time series storage unit and the home data time series storage unit according to the target management level.

[0068] To achieve the above object, the present invention also provides an information management system based on chronic kidney disease nursing data, comprising:

[0069] An inpatient interaction score value calculation module is used to obtain inpatient time series examination data, identify an inpatient similar time series data set of the inpatient time series examination data in a pre-constructed inpatient data time series storage unit; use the inpatient similar time series data set to perform inpatient association storage on the inpatient time series examination data to obtain associated time series inpatient data; determine whether the associated time series inpatient data meets the preset discharge criteria; if the associated time series inpatient data does not meet the discharge criteria, calculate the inpatient association replacement value of the inpatient similar time series data set, and return to the above step of obtaining inpatient time series examination data; if the associated time series inpatient data meets the discharge criteria, summarize all inpatient association replacement values ​​to obtain an inpatient association replacement value set, and draw an inpatient association interaction curve according to the inpatient association replacement value set; use a pre-constructed interaction score formula to calculate the inpatient interaction score value of the inpatient association interaction curve;

[0070] A home interaction score value calculation module is used to obtain home time series inspection data, identify a home similar time series data set of the home time series inspection data in a pre-constructed home data time series storage unit; use the home similar time series data set to perform home association storage on the home time series inspection data to obtain associated time series home data; determine whether the associated time series home data meets the preset rehabilitation standard; if the associated time series home data does not meet the rehabilitation standard, calculate the home association replacement value of the home similar time series data set, and return to the above step of obtaining the home time series inspection data; if the associated time series home data meets the rehabilitation standard, summarize all home association replacement values ​​to obtain a home association replacement value set, and draw a home association interaction curve according to the home association replacement value set; and use the interaction scoring formula to calculate the home interaction score of the home association interaction curve;

[0071] The information management comprehensive score calculation module is used to calculate the information management comprehensive score of chronic kidney disease nursing data based on the inpatient interaction score and the home interaction score using a pre-built comprehensive score formula.

[0072] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0073] A memory storing at least one instruction; and a processor executing the instructions stored in the memory to implement the above-mentioned information management method based on chronic kidney disease nursing data.

[0074] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned information management method based on chronic kidney disease care data.

[0075] In order to solve the problem described in the background technology, the present invention first needs to calculate the two parts of the inpatient interaction score value and the home interaction score value. When calculating the inpatient interaction score value, it is necessary to first obtain the inpatient time series examination data, and then identify the inpatient similar time series data set of the inpatient time series examination data in the inpatient data time series storage unit. In order to calculate the inpatient correlation replacement value of the inpatient similar time series data set, it is necessary to use the inpatient similar time series data set to perform inpatient correlation storage on the inpatient time series examination data to obtain the correlated time series inpatient data. At this time, it is necessary to judge whether the correlated time series inpatient data meets the preset discharge criteria. If not, the inpatient correlation replacement value of the inpatient similar time series data set can be calculated, and the inpatient time series examination data can be returned to obtain. If it meets the discharge criteria, all inpatient correlation replacement values ​​are summarized to obtain an inpatient correlation replacement value set. Finally, an inpatient correlation interaction curve is drawn according to the inpatient correlation replacement value set, and the inpatient interaction score value of the inpatient correlation interaction curve is calculated using a pre-constructed interaction scoring formula. When calculating the home interaction score value, according to the same principle, it is necessary to first obtain the home time series examination data, and then in the pre-constructed The home-based data time series storage unit identifies the home-based time series data set similar to the home-based time series inspection data, uses the home-based similar time series data set to perform home-based association storage on the home-based time series inspection data, and obtains the associated time series home data. At this time, it is necessary to determine whether the associated time series home data meets the preset rehabilitation standard. If the associated time series home data does not meet the rehabilitation standard, the home-based association replacement value of the home-based similar time series data set is continuously calculated, and the home-based time series inspection data is returned to be obtained. If the associated time series home data meets the rehabilitation standard, there is no need to perform home association storage. In the calculation of the home-related replacement value, at this time, it is necessary to summarize all home-related replacement values ​​to obtain a home-related replacement value set, and finally draw a home-related interaction curve according to the home-related replacement value set, and use the interaction scoring formula to calculate the home interaction score of the home-related interaction curve. After obtaining the hospitalization interaction score and the home interaction score, the information management comprehensive score of the chronic kidney disease nursing data can be calculated according to the hospitalization interaction score and the home interaction score, and the information management of the chronic kidney disease nursing data is completed according to the information management comprehensive score. Therefore, the present invention can solve the problem of low management accuracy in the current management of examination data for patients with chronic kidney disease. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 A flow chart of an information management method based on chronic kidney disease nursing data provided by one embodiment of the present invention;

[0077] Figure 2 A functional module diagram of an information management system based on chronic kidney disease nursing data provided by an embodiment of the present invention;

[0078] Figure 3 A schematic diagram of the structure of an electronic device for implementing the information management method based on chronic kidney disease nursing data provided by one embodiment of the present invention.

[0079] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0080] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0081] The embodiment of the present application provides an information management method based on chronic kidney disease nursing data. The execution subject of the information management method based on chronic kidney disease nursing data includes but is not limited to at least one of the electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiment of the present application. In other words, the information management method based on chronic kidney disease nursing data can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0082] Reference Figure 1 FIG. 1 is a flow chart of an information management method based on chronic kidney disease nursing data provided by an embodiment of the present invention. In this embodiment, the information management method based on chronic kidney disease nursing data includes:

[0083] S1. Acquire inpatient time series examination data, and identify an inpatient similar time series data set of the inpatient time series examination data in a pre-constructed inpatient data time series storage unit.

[0084] It can be explained that the inpatient time series examination data refers to all inpatient examination data of chronic kidney disease patients at a certain time of hospitalization vital signs. The inpatient data time series storage unit refers to a storage unit storing the inpatient time series examination data of chronic kidney disease patients. The inpatient similar time series data set refers to a set of inpatient examination data of other patients in the inpatient data time series storage unit that are similar to the inpatient time series examination data. The inpatient examination data can be examination data of indicators such as blood creatinine, blood urea nitrogen, endogenous creatinine clearance, albumin, total cholesterol, blood calcium, blood potassium, and blood sodium.

[0085] In an embodiment of the present invention, the step of identifying a hospitalization similar time series data set of the hospitalization time series examination data in a pre-constructed hospitalization data time series storage unit includes:

[0086] Extracting single hospitalization examination data in sequence from the hospitalization time series examination data according to the preset physical sign examination time;

[0087] identifying an abnormal indicator inspection data set in the single hospitalization inspection data;

[0088] identifying an initial similar inspection data set in the hospitalization data time series storage unit according to the abnormal indicator inspection data set;

[0089] Initial similar examination data are sequentially extracted from the initial similar examination data set, and the matching similarity between the initial similar examination data and the single hospitalization examination data is calculated using a pre-constructed similarity formula, wherein the similarity formula is as follows:

[0090] ,

[0091] in, Indicates the matching similarity. Indicates the total number of physical examination indicators. represents the similarity weight of the i-th physical examination index, It represents the single examination value of the ith physical examination index in a single hospitalization examination data. Represents the similar examination value of the i-th physical sign examination index in the initial similar examination data;

[0092] Determining whether the matching similarity is greater than a preset matching similarity threshold;

[0093] If the matching similarity is greater than the matching similarity threshold, identifying the hospitalization number associated with the initial similar examination data, and determining whether the initial similar examination data has been extracted;

[0094] If the initial similarity check data has not been extracted, return to the above step of sequentially extracting the initial similarity check data from the initial similarity check data set;

[0095] If the initial similar examination data is extracted, all associated hospitalization numbers are summarized to obtain an associated hospitalization number set;

[0096] If the matching similarity is not greater than the matching similarity threshold, determining whether the initial similarity check data has been extracted;

[0097] If the initial similarity check data has not been extracted, return to the above step of sequentially extracting the initial similarity check data from the initial similarity check data set;

[0098] If the initial similar examination data is extracted, all associated hospitalization numbers are summarized to obtain an associated hospitalization number set;

[0099] Identify the number of associated hospitalization numbers in the associated hospitalization number set, and determine whether the number of associated hospitalization numbers is 1;

[0100] If the number of associated hospitalization numbers is 1, the associated hospitalization data corresponding to the associated hospitalization number will be identified, and the associated hospitalization data will be used as a hospitalization similar time series data set;

[0101] If the number of associated hospitalization numbers is not 1, identifying an associated hospitalization data set corresponding to the associated hospitalization number set, and using the associated hospitalization data set to perform a preset matching data update on the hospitalization data time series storage unit;

[0102] Determining whether the single hospitalization examination data has been extracted;

[0103] If the single hospitalization examination data has not been extracted, return to the above step of sequentially extracting the single hospitalization examination data from the hospitalization time series examination data according to the preset physical sign examination time;

[0104] If the single hospitalization examination data is extracted, the associated hospitalization data set is used as a hospitalization similar time series data set.

[0105] It is understandable that the physical examination time refers to the time when the chronic kidney disease patient undergoes physical examination during hospitalization. The single hospitalization examination data refers to the data of a single physical examination during hospitalization. The abnormal index examination data set refers to the index examination data set that exceeds the normal range. The initial similar examination data set refers to the examination data set of other chronic kidney disease patients after screening the abnormal index examination data set.

[0106] Furthermore, the associated hospitalization number refers to the hospitalization number of the patient corresponding to the initial similar examination data. The matching data update refers to updating the patient examination data used to match the hospitalization time series examination data in the hospitalization data time series storage unit.

[0107] S2. Using the hospitalization similar time series data set, the hospitalization time series examination data is stored in association with the hospitalization to obtain associated time series hospitalization data.

[0108] Furthermore, the hospitalization associated storage refers to storing the hospitalization similar time series data set after associating it with the hospitalization time series examination data.

[0109] In an embodiment of the present invention, the use of the hospitalization similar time series data set to perform hospitalization-associated storage on the hospitalization time series examination data to obtain associated time series hospitalization data includes:

[0110] storing the hospitalization time series examination data into the hospitalization data time series storage unit to obtain hospitalization time series storage data;

[0111] The hospitalization time series storage data is associated with the hospitalization similar time series data set to obtain associated time series hospitalization data.

[0112] S3. Determine whether the associated time series hospitalization data meets the preset discharge criteria.

[0113] It can be understood that the discharge criteria may be that the examination values ​​of various hospital examination indicators are all within the normal range.

[0114] If the associated time series hospitalization data does not meet the discharge criteria, S4 is executed to calculate the hospitalization associated replacement value of the hospitalization similar time series data set.

[0115] Furthermore, the hospitalization-related replacement value represents the change degree value of the hospitalization-like time series data set after each hospitalization examination.

[0116] In the embodiment of the present invention, the calculation of the hospitalization-related replacement value of the hospitalization similar time series data set includes:

[0117] Acquire a historical temporal examination data set of the inpatient temporal examination data, and sequentially extract historical temporal examination data from the historical temporal examination data set;

[0118] Identify the historical association number sets corresponding to the historical timing inspection data to obtain multiple groups of historical association number sets;

[0119] The pre-built association replacement formula is used to calculate the hospitalization association replacement value according to the multiple sets of historical association number sets, wherein the association replacement formula is as follows:

[0120] ,

[0121] in, represents the hospitalization-related replacement value, Indicates the number of groups of historical association number sets, represents the j-1th set of historical association numbers, represents the jth set of historical association numbers, represents the intersection symbol, Represents the statistical symbol of the number of elements in a collection.

[0122] It is understandable that the historical time series examination data set refers to the examination data before the hospitalization time series examination data. For example, if the current time is January 20 and the hospitalization time is January 1, then the historical time series examination data set refers to the examination data from January 1 to January 20. The historical time series examination data may be the examination data of each day in the historical time series examination data set (when the examination cycle is 1 day). The historical associated number set refers to the associated hospitalization number set corresponding to the historical time series examination data.

[0123] For example, when the first set of historical association number sets are 001, 002, 003, 004 and 005, and the second set of historical association number sets are 003, 004, 005, 006 and 007, then the intersection of the first set of historical association number sets and the second set of historical association number sets is 003, 004, 005. , 004, 005, 006, 007, .

[0124] Return to the above step of obtaining the inpatient time series examination data.

[0125] If the associated time series hospitalization data meets the discharge criteria, S5 is executed to aggregate all hospitalization associated replacement values ​​to obtain a hospitalization associated replacement value set, and a hospitalization associated interaction curve is drawn according to the hospitalization associated replacement value set.

[0126] It can be explained that the hospitalization-related interaction curve refers to a curve drawn according to the hospitalization-related replacement value set, with the hospitalization-related replacement value as the vertical axis and the hospitalization time as the horizontal axis.

[0127] In an embodiment of the present invention, drawing a hospitalization-related interaction curve according to the hospitalization-related replacement value set includes:

[0128] sequentially extracting hospitalization-related replacement values ​​from the hospitalization-related replacement value set;

[0129] Identify the physical sign examination time corresponding to the hospitalization-related replacement value;

[0130] According to the hospitalization-related replacement value and the physical sign examination time, points are drawn in a pre-constructed and associated interactive coordinate system to obtain a hospitalization-related scatter point set, wherein the horizontal axis of the associated interactive coordinate system represents the hospitalization time, and the vertical axis represents the hospitalization-related replacement value;

[0131] The hospitalization-related scatter point set is fitted to obtain a hospitalization-related interaction curve.

[0132] S6. Calculate the hospitalization interaction score value of the hospitalization-associated interaction curve using a pre-constructed interaction score formula.

[0133] It can be understood that the hospitalization interaction score value refers to the deviation value between the hospitalization-related interaction curve and the hospitalization standard interaction curve.

[0134] In the embodiment of the present invention, the method of calculating the hospitalization interaction score value of the hospitalization-related interaction curve by using a pre-constructed interaction score formula includes:

[0135] receiving a hospitalization standard interactive curve input by a user;

[0136] The pre-constructed interaction scoring formula is used to calculate the integral difference between the hospitalization standard interaction curve and the hospitalization association interaction curve to obtain a hospitalization interaction score value. The interaction scoring formula is as follows:

[0137] ,

[0138] in, represents the hospitalization interaction score value, Indicates the time of admission, Indicates the time of discharge from hospital, represents the integral value of the hospitalization standard interaction curve with respect to the hospitalization time, represents the integral value of the hospitalization-related interaction curve with respect to the hospitalization time, Represents the absolute value symbol.

[0139] S7. Acquire home time series inspection data, and identify a home similar time series data set of the home time series inspection data in a pre-built home data time series storage unit.

[0140] It is understandable that the home time series examination data refers to the data of physical sign detection at home at certain time intervals after the chronic kidney disease patient is discharged from the hospital. The home data time series storage unit refers to the storage unit that stores the home time series examination data of the chronic kidney disease patient. The home similar time series data set refers to the home examination data set of other patients in the home data time series storage unit that are similar to the home time series examination data.

[0141] In the embodiment of the present invention, before identifying the home similar time series data set of the home time series inspection data in the pre-constructed home data time series storage unit, the method further includes:

[0142] Obtain time series data of home patients from discharged patients;

[0143] The home data time series storage unit is used to update the storage data using the home patient time series data.

[0144] S8. Use the home similar time series data set to perform home-associated storage on the home time series inspection data to obtain associated time series home data.

[0145] It is understandable that the home-related storage is the same as the hospital-related storage, and will not be elaborated here.

[0146] S9. Determine whether the associated time-series home data meets the preset rehabilitation standard.

[0147] It can be understood that the rehabilitation standard refers to the rehabilitation standard set by medical staff based on the test values ​​of various test indicators.

[0148] If the associated time series home data does not meet the rehabilitation standard, execute S10, calculate the home associated replacement value of the home similar time series data set, and return to the above step of obtaining the home time series examination data.

[0149] It can be understood that the home-related replacement value is the same as the hospitalization-related replacement value, and will not be repeated here.

[0150] If the associated time-series home data meets the rehabilitation standard, S11 is executed to aggregate all home-associated replacement values ​​to obtain a home-associated replacement value set, and a home-associated interaction curve is drawn according to the home-associated replacement value set.

[0151] Furthermore, the drawing method of the home-related interaction curve is similar to that of the hospitalization-related interaction curve, which will not be repeated here.

[0152] S12. Calculate the home interaction score value of the home association interaction curve using the interaction score formula.

[0153] It can be understood that the calculation method of the home interaction score is the same as the calculation method of the hospitalization interaction score, which will not be repeated here.

[0154] S13. According to the hospitalization interaction score and the home interaction score, a pre-constructed comprehensive scoring formula is used to calculate the information management comprehensive score of the chronic kidney disease nursing data, and complete the information management based on the chronic kidney disease nursing data.

[0155] It can be understood that the information management comprehensive score value refers to the data value evaluation value of the data stored in the inpatient data time series storage unit and the home data time series storage unit based on the inpatient interaction score value and the home interaction score value.

[0156] In the embodiment of the present invention, the comprehensive scoring formula is as follows:

[0157] ,

[0158] in, Indicates the comprehensive score of information management. represents the adjustment coefficient, represents the hospitalization interaction score value, Represents the home interaction score value.

[0159] In the embodiment of the present invention, after calculating the information management comprehensive score of chronic kidney disease nursing data using a pre-constructed comprehensive score formula according to the inpatient interaction score and the home interaction score, the method further includes:

[0160] Obtain an information management score gradient set, and identify a target management score gradient corresponding to the information management comprehensive score value in the information management score gradient set;

[0161] The target management level corresponding to the target management score gradient is identified, and data is supplemented in the hospitalization data time series storage unit and the home data time series storage unit according to the target management level.

[0162] It is understandable that the lower the target management level is, the lower the reference value of the data stored in the inpatient data time series storage unit and the home data time series storage unit is. Therefore, the amount of data supplement needs to be increased. The lower the target management level is, the greater the amount of case data supplement is.

[0163] In order to solve the problem described in the background technology, the present invention first needs to calculate the two parts of the inpatient interaction score value and the home interaction score value. When calculating the inpatient interaction score value, it is necessary to first obtain the inpatient time series examination data, and then identify the inpatient similar time series data set of the inpatient time series examination data in the inpatient data time series storage unit. In order to calculate the inpatient correlation replacement value of the inpatient similar time series data set, it is necessary to use the inpatient similar time series data set to perform inpatient correlation storage on the inpatient time series examination data to obtain the correlated time series inpatient data. At this time, it is necessary to judge whether the correlated time series inpatient data meets the preset discharge criteria. If not, the inpatient correlation replacement value of the inpatient similar time series data set can be calculated, and the inpatient time series examination data can be returned to obtain. If it meets the discharge criteria, all inpatient correlation replacement values ​​are summarized to obtain an inpatient correlation replacement value set. Finally, an inpatient correlation interaction curve is drawn according to the inpatient correlation replacement value set, and the inpatient interaction score value of the inpatient correlation interaction curve is calculated using a pre-constructed interaction scoring formula. When calculating the home interaction score value, according to the same principle, it is necessary to first obtain the home time series examination data, and then in the pre-constructed The home-based data time series storage unit identifies the home-based time series data set similar to the home-based time series inspection data, uses the home-based similar time series data set to perform home-based association storage on the home-based time series inspection data, and obtains the associated time series home data. At this time, it is necessary to determine whether the associated time series home data meets the preset rehabilitation standard. If the associated time series home data does not meet the rehabilitation standard, the home-based association replacement value of the home-based similar time series data set is continuously calculated, and the home-based time series inspection data is returned to be obtained. If the associated time series home data meets the rehabilitation standard, there is no need to perform home association storage. In the calculation of the home-related replacement value, at this time, it is necessary to summarize all home-related replacement values ​​to obtain a home-related replacement value set, and finally draw a home-related interaction curve according to the home-related replacement value set, and use the interaction scoring formula to calculate the home interaction score of the home-related interaction curve. After obtaining the hospitalization interaction score and the home interaction score, the information management comprehensive score of the chronic kidney disease nursing data can be calculated according to the hospitalization interaction score and the home interaction score, and the information management of the chronic kidney disease nursing data is completed according to the information management comprehensive score. Therefore, the present invention can solve the problem of low management accuracy in the current management of examination data for patients with chronic kidney disease.

[0164] like Figure 2 , which is a functional module diagram of an information management system based on chronic kidney disease nursing data provided by one embodiment of the present invention.

[0165] The information management system 100 based on chronic kidney disease nursing data of the present invention can be installed in an electronic device. According to the functions to be implemented, the information management system 100 based on chronic kidney disease nursing data can include an inpatient interaction score calculation module 101, a home interaction score calculation module 102 and an information management comprehensive score calculation module 103. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0166] The inpatient interaction score value calculation module 101 is used to obtain inpatient time series examination data, identify an inpatient similar time series data set of the inpatient time series examination data in a pre-constructed inpatient data time series storage unit; use the inpatient similar time series data set to perform inpatient association storage on the inpatient time series examination data to obtain associated time series inpatient data; determine whether the associated time series inpatient data meets the preset discharge criteria; if the associated time series inpatient data does not meet the discharge criteria, calculate the inpatient association replacement value of the inpatient similar time series data set, and return to the above step of obtaining inpatient time series examination data; if the associated time series inpatient data meets the discharge criteria, summarize all inpatient association replacement values ​​to obtain an inpatient association replacement value set, and draw an inpatient association interaction curve according to the inpatient association replacement value set; and calculate the inpatient interaction score value of the inpatient association interaction curve using a pre-constructed interaction score formula;

[0167] The home interaction score value calculation module 102 is used to obtain home time series inspection data, identify the home similar time series data set of the home time series inspection data in the pre-constructed home data time series storage unit; use the home similar time series data set to store the home time series inspection data at home to obtain the associated time series home data; determine whether the associated time series home data meets the preset rehabilitation standard; if the associated time series home data does not meet the rehabilitation standard, calculate the home association replacement value of the home similar time series data set, and return to the above step of obtaining the home time series inspection data; if the associated time series home data meets the rehabilitation standard, summarize all home association replacement values ​​to obtain a home association replacement value set, and draw a home association interaction curve according to the home association replacement value set; and calculate the home interaction score value of the home association interaction curve using the interaction scoring formula;

[0168] The information management comprehensive score calculation module 103 is used to calculate the information management comprehensive score of chronic kidney disease nursing data according to the inpatient interaction score and the home interaction score using a pre-built comprehensive score formula.

[0169] In detail, each module in the information management system 100 based on chronic kidney disease nursing data in the embodiment of the present invention is used in the same manner as described above. Figure 1 The technical means are the same as the information management method based on chronic kidney disease nursing data described in, and can produce the same technical effects, so I will not go into details here.

[0170] like Figure 3 , which is a schematic diagram of the structure of an electronic device for implementing an information management method based on chronic kidney disease nursing data provided by an embodiment of the present invention.

[0171] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as an information management method program based on chronic kidney disease care data.

[0172] Among them, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 can also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the information management method program based on chronic kidney disease nursing data, but also can be used to temporarily store data that has been output or is to be output.

[0173] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and a combination of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (such as information management method programs based on chronic kidney disease nursing data, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0174] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0175] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0176] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0177] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0178] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0179] The information management method program based on chronic kidney disease nursing data stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0180] Acquire inpatient time series examination data, and identify an inpatient similar time series data set of the inpatient time series examination data in a pre-constructed inpatient data time series storage unit;

[0181] Using the hospitalization similar time series data set to perform hospitalization-associated storage on the hospitalization time series examination data to obtain associated time series hospitalization data;

[0182] Determining whether the associated time-series hospitalization data meets preset discharge criteria;

[0183] If the associated time series hospitalization data does not meet the discharge criteria, the hospitalization associated replacement value of the hospitalization similar time series data set is calculated, and the process of obtaining the hospitalization time series examination data is returned to the above step;

[0184] If the associated time series hospitalization data meets the discharge criteria, all hospitalization associated replacement values ​​are summarized to obtain a hospitalization associated replacement value set, and a hospitalization associated interaction curve is drawn according to the hospitalization associated replacement value set;

[0185] Calculating the inpatient interaction score value of the inpatient association interaction curve using a pre-constructed interaction score formula;

[0186] Acquire home time series inspection data, and identify a home similar time series data set of the home time series inspection data in a pre-built home data time series storage unit;

[0187] Using the home similar time series data set to perform home-associated storage on the home time series inspection data to obtain associated time series home data;

[0188] Determining whether the associated time-series home data meets a preset rehabilitation standard;

[0189] If the associated time-series home data does not meet the rehabilitation standard, then calculating the home-associated replacement value of the home-similar time-series data set, and returning to the above step of obtaining the home-similar time-series examination data;

[0190] If the associated time-series home data meets the rehabilitation standard, all home-associated replacement values ​​are summarized to obtain a home-associated replacement value set, and a home-associated interaction curve is drawn according to the home-associated replacement value set;

[0191] Calculating the home interaction score value of the home association interaction curve using the interaction score formula;

[0192] According to the inpatient interaction score and the home interaction score, a pre-constructed comprehensive scoring formula is used to calculate the information management comprehensive score of chronic kidney disease nursing data, thereby completing the information management based on chronic kidney disease nursing data.

[0193] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0194] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0195] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0196] Acquire inpatient time series examination data, and identify an inpatient similar time series data set of the inpatient time series examination data in a pre-constructed inpatient data time series storage unit;

[0197] Using the hospitalization similar time series data set to perform hospitalization-associated storage on the hospitalization time series examination data to obtain associated time series hospitalization data;

[0198] Determining whether the associated time-series hospitalization data meets preset discharge criteria;

[0199] If the associated time series hospitalization data does not meet the discharge criteria, the hospitalization associated replacement value of the hospitalization similar time series data set is calculated, and the process of obtaining the hospitalization time series examination data is returned to the above step;

[0200] If the associated time series hospitalization data meets the discharge criteria, all hospitalization associated replacement values ​​are summarized to obtain a hospitalization associated replacement value set, and a hospitalization associated interaction curve is drawn according to the hospitalization associated replacement value set;

[0201] Calculating the inpatient interaction score value of the inpatient association interaction curve using a pre-constructed interaction score formula;

[0202] Acquire home time series inspection data, and identify a home similar time series data set of the home time series inspection data in a pre-built home data time series storage unit;

[0203] Using the home similar time series data set to perform home-associated storage on the home time series inspection data to obtain associated time series home data;

[0204] Determining whether the associated time-series home data meets a preset rehabilitation standard;

[0205] If the associated time-series home data does not meet the rehabilitation standard, then the home-associated replacement value of the home-similar time-series data set is calculated, and the process returns to the step of obtaining the home-similar time-series examination data;

[0206] If the associated time-series home data meets the rehabilitation standard, all home-associated replacement values ​​are summarized to obtain a home-associated replacement value set, and a home-associated interaction curve is drawn according to the home-associated replacement value set;

[0207] Calculating the home interaction score value of the home association interaction curve using the interaction score formula;

[0208] According to the inpatient interaction score and the home interaction score, a pre-constructed comprehensive scoring formula is used to calculate the information management comprehensive score of chronic kidney disease nursing data, thereby completing the information management based on chronic kidney disease nursing data.

[0209] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0210] The modules described as separate components may or may not be physically separated, and the components shown as modules 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 modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0211] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0212] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0213] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. An information management method based on chronic kidney disease nursing data, characterized in that: The method comprises: Acquire inpatient time series examination data, and identify an inpatient similar time series data set of the inpatient time series examination data in a pre-constructed inpatient data time series storage unit; Using the hospitalization similar time series data set to perform hospitalization-associated storage on the hospitalization time series examination data to obtain associated time series hospitalization data; Determining whether the associated time-series hospitalization data meets preset discharge criteria; If the associated time series hospitalization data does not meet the discharge criteria, the hospitalization associated replacement value of the hospitalization similar time series data set is calculated, and the process of obtaining the hospitalization time series examination data is returned to the above step; If the associated time series hospitalization data meets the discharge criteria, all hospitalization associated replacement values ​​are summarized to obtain a hospitalization associated replacement value set, and a hospitalization associated interaction curve is drawn according to the hospitalization associated replacement value set; Calculating the inpatient interaction score value of the inpatient association interaction curve using a pre-constructed interaction score formula; Acquire home time series inspection data, and identify a home similar time series data set of the home time series inspection data in a pre-built home data time series storage unit; Using the home similar time series data set to perform home-associated storage on the home time series inspection data to obtain associated time series home data; Determining whether the associated time-series home data meets a preset rehabilitation standard; If the associated time-series home data does not meet the rehabilitation standard, then calculating the home-associated replacement value of the home-similar time-series data set, and returning to the above step of obtaining the home-similar time-series examination data; If the associated time-series home data meets the rehabilitation standard, all home-associated replacement values ​​are summarized to obtain a home-associated replacement value set, and a home-associated interaction curve is drawn according to the home-associated replacement value set; Calculating the home interaction score value of the home association interaction curve using the interaction score formula; According to the inpatient interaction score and the home interaction score, a pre-built comprehensive scoring formula is used to calculate the information management comprehensive score of chronic kidney disease nursing data, thereby completing the information management based on chronic kidney disease nursing data; The step of identifying the inpatient similar time series data set of the inpatient time series examination data in the pre-constructed inpatient data time series storage unit comprises: Extracting single hospitalization examination data in sequence from the hospitalization time series examination data according to the preset physical sign examination time; identifying an abnormal indicator inspection data set in the single hospitalization inspection data; identifying an initial similar inspection data set in the hospitalization data time series storage unit according to the abnormal indicator inspection data set; Initial similar examination data are sequentially extracted from the initial similar examination data set, and the matching similarity between the initial similar examination data and the single hospitalization examination data is calculated using a pre-constructed similarity formula, wherein the similarity formula is as follows: ， in, Indicates the matching similarity. Indicates the total number of physical examination indicators. represents the similarity weight of the i-th physical examination index, It represents the single examination value of the ith physical examination index in a single hospitalization examination data. Represents the similar examination value of the i-th physical sign examination index in the initial similar examination data; Determining whether the matching similarity is greater than a preset matching similarity threshold; If the matching similarity is greater than the matching similarity threshold, identifying the hospitalization number associated with the initial similar examination data, and determining whether the initial similar examination data has been extracted; If the initial similarity check data has not been extracted, return to the above step of sequentially extracting the initial similarity check data from the initial similarity check data set; If the initial similar examination data is extracted, all associated hospitalization numbers are summarized to obtain an associated hospitalization number set; If the matching similarity is not greater than the matching similarity threshold, determining whether the initial similarity check data has been extracted; If the initial similarity check data has not been extracted, return to the above step of sequentially extracting the initial similarity check data from the initial similarity check data set; If the initial similar examination data is extracted, all associated hospitalization numbers are summarized to obtain an associated hospitalization number set; Identify the number of associated hospitalization numbers in the associated hospitalization number set, and determine whether the number of associated hospitalization numbers is 1; If the number of associated hospitalization numbers is 1, the associated hospitalization data corresponding to the associated hospitalization number will be identified, and the associated hospitalization data will be used as a hospitalization similar time series data set; If the number of associated hospitalization numbers is not 1, identifying an associated hospitalization data set corresponding to the associated hospitalization number set, and using the associated hospitalization data set to perform a preset matching data update on the hospitalization data time series storage unit; Determining whether the single hospitalization examination data has been extracted; If the single hospitalization examination data has not been extracted, return to the above step of sequentially extracting the single hospitalization examination data from the hospitalization time series examination data according to the preset physical sign examination time; If the single hospitalization examination data is extracted, the associated hospitalization data set is used as a hospitalization similar time series data set; Calculating the hospitalization-related replacement value of the hospitalization similar time series data set, including: Acquire a historical temporal examination data set of the inpatient temporal examination data, and sequentially extract historical temporal examination data from the historical temporal examination data set; Identify the historical association number sets corresponding to the historical timing inspection data to obtain multiple groups of historical association number sets; The pre-built association replacement formula is used to calculate the hospitalization association replacement value according to the multiple sets of historical association number sets, wherein the association replacement formula is as follows: ， in, represents the hospitalization-related replacement value, Indicates the number of groups of historical association number sets, represents the j-1th set of historical association numbers, represents the jth set of historical association numbers, represents the intersection symbol, Indicates the statistical symbol of the number of elements in a set; The comprehensive scoring formula is as follows: ， in, Indicates the comprehensive score of information management. represents the adjustment coefficient, represents the hospitalization interaction score value, Represents the home interaction score value.

2. The information management method based on chronic kidney disease nursing data according to claim 1, characterized in that: The step of using the hospitalization similar time series data set to store the hospitalization time series examination data in an inpatient-associated manner to obtain associated time series hospitalization data includes: storing the hospitalization time series examination data into the hospitalization data time series storage unit to obtain hospitalization time series storage data; The hospitalization time series storage data is associated with the hospitalization similar time series data set to obtain associated time series hospitalization data.

3. The information management method based on chronic kidney disease nursing data according to claim 2, characterized in that: Drawing a hospitalization-related interaction curve according to the hospitalization-related replacement value set includes: sequentially extracting hospitalization-related replacement values ​​from the hospitalization-related replacement value set; Identify the physical sign examination time corresponding to the hospitalization-related replacement value; According to the hospitalization-related replacement value and the physical sign examination time, points are drawn in a pre-constructed and associated interactive coordinate system to obtain a hospitalization-related scatter point set, wherein the horizontal axis of the associated interactive coordinate system represents the hospitalization time, and the vertical axis represents the hospitalization-related replacement value; The hospitalization-related scatter point set is fitted to obtain a hospitalization-related interaction curve.

4. The information management method based on chronic kidney disease nursing data according to claim 3, characterized in that: The method of calculating the inpatient interaction score value of the inpatient association interaction curve by using a pre-constructed interaction score formula includes: receiving a hospitalization standard interactive curve input by a user; The pre-constructed interaction scoring formula is used to calculate the integral difference between the hospitalization standard interaction curve and the hospitalization association interaction curve to obtain a hospitalization interaction score value. The interaction scoring formula is as follows: ， in, represents the hospitalization interaction score value, Indicates the time of admission, Indicates the time of discharge from hospital, represents the integral value of the hospitalization standard interaction curve with respect to the hospitalization time, represents the integral value of the hospitalization-related interaction curve with respect to the hospitalization time, Represents the absolute value symbol.

5. The information management method based on chronic kidney disease nursing data according to claim 4, characterized in that: Before identifying the home similar time series data set of the home time series inspection data in the pre-built home data time series storage unit, the method further includes: Obtain time series data of home patients from discharged patients; The home patient time series data is used to update the storage data of the home data time series storage unit.

6. The information management method based on chronic kidney disease nursing data according to claim 5, characterized in that: After calculating the information management comprehensive score of chronic kidney disease nursing data according to the inpatient interaction score and the home interaction score using a pre-constructed comprehensive score formula, the method further includes: Obtain an information management score gradient set, and identify a target management score gradient corresponding to the information management comprehensive score value in the information management score gradient set; The target management level corresponding to the target management score gradient is identified, and data is supplemented in the hospitalization data time series storage unit and the home data time series storage unit according to the target management level.

7. An information management system based on chronic kidney disease nursing data using the method as claimed in claim 1, characterized in that: The system comprises: An inpatient interaction score value calculation module is used to obtain inpatient time series examination data, identify an inpatient similar time series data set of the inpatient time series examination data in a pre-constructed inpatient data time series storage unit; use the inpatient similar time series data set to perform inpatient association storage on the inpatient time series examination data to obtain associated time series inpatient data; determine whether the associated time series inpatient data meets the preset discharge criteria; if the associated time series inpatient data does not meet the discharge criteria, calculate the inpatient association replacement value of the inpatient similar time series data set, and return to the above step of obtaining inpatient time series examination data; if the associated time series inpatient data meets the discharge criteria, summarize all inpatient association replacement values ​​to obtain an inpatient association replacement value set, and draw an inpatient association interaction curve according to the inpatient association replacement value set; use a pre-constructed interaction score formula to calculate the inpatient interaction score value of the inpatient association interaction curve; A home interaction score value calculation module is used to obtain home time series inspection data, identify a home similar time series data set of the home time series inspection data in a pre-constructed home data time series storage unit; use the home similar time series data set to perform home association storage on the home time series inspection data to obtain associated time series home data; determine whether the associated time series home data meets the preset rehabilitation standard; if the associated time series home data does not meet the rehabilitation standard, calculate the home association replacement value of the home similar time series data set, and return to the above step of obtaining the home time series inspection data; if the associated time series home data meets the rehabilitation standard, summarize all home association replacement values ​​to obtain a home association replacement value set, and draw a home association interaction curve according to the home association replacement value set; and use the interaction scoring formula to calculate the home interaction score of the home association interaction curve; The information management comprehensive score calculation module is used to calculate the information management comprehensive score of chronic kidney disease nursing data based on the inpatient interaction score and the home interaction score using a pre-built comprehensive score formula.

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