An intelligent data collection system for hemodialysis machine treatment

Abstract

The present invention relates to the technical field of data management, and particularly to an intelligent collection system for hemodialysis machine treatment data, including a data collection and processing center, a hemodialysis information database, a treatment status evaluation unit, an information deviation evaluation unit, a collection, transmission and analysis unit, a collection management and distribution unit, and an operation management unit; The present invention analyzes from two aspects of acquisition and collection transmission based on the stable operation of the hemodialysis machine to ensure the integrity and effectiveness of the collection and storage of patients' treatment data. Through the way of information progression, treatment matching and information collection management analysis are carried out on the basic information. On the one hand, it conducts preliminary identification and matching of patients to improve the accuracy of storing patients' treatment information and the efficiency of information integration. On the other hand, it helps to manage and set the treatment information of first-time dialysis patients, helps to improve the integration of patients' treatment data and subsequent retrieval and query, and thus helps to overall improve the collection efficiency of patients' treatment data.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and particularly to an intelligent collection system for hemodialysis machine treatment data. Background Art

[0002] Hemodialysis is one of the renal replacement therapies for patients with acute and chronic renal failure. It involves draining the blood in the body to the outside, passing it through a dialyzer composed of countless hollow fibers. Inside and outside each hollow fiber, the blood and an electrolyte solution (dialysate) with a concentration similar to that of the body undergo mass exchange through the principles of diffusion, ultrafiltration, adsorption, and convection to remove metabolic wastes in the body, maintain electrolyte and acid-base balance; at the same time, excess water in the body is removed, and the whole process of returning the purified blood is called hemodialysis;

[0003] However, in the prior art, potential hidden dangers in the operation of the hemodialysis machine cannot be discovered in advance and warned, which increases the risk of data collection during the operation of the hemodialysis machine. Moreover, it is impossible to supervise the difficulty of data collection from two points: collection and collection transmission, thereby reducing the integrity and effectiveness of the collection and storage of treatment data. At the same time, when collecting and storing treatment data, it is impossible to store it reasonably according to the patient's treatment situation, resulting in a chaotic storage process, and the data is prone to being incomplete, which is not conducive to the subsequent retrieval of scientific research data;

[0004] In view of the above technical deficiencies, a solution is proposed now. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent collection system for hemodialysis machine treatment data to solve the above-mentioned technical deficiencies. The present invention initially analyzes from the perspective of potential mutations of the hemodialysis machine to understand whether to control the hemodialysis machine to work, so as to improve the operation stability and safety of the hemodialysis machine. By means of information feedback, it analyzes from two points: collection and collection transmission, so as to intuitively understand whether the collection and transmission of treatment data interfere with subsequent storage and collection, thereby ensuring the integrity and effectiveness of the collection and storage of the patient's treatment data. By means of information progression, it conducts treatment matching and information collection management analysis on basic information. On the one hand, it conducts preliminary identification and matching of patients to improve the accuracy of patient treatment information storage and information integration efficiency. On the other hand, it helps to manage and set the treatment information of first-time dialysis patients, helps to improve the integration and subsequent retrieval and query of patient treatment data, and thus helps to overall improve the collection efficiency of patient treatment data.

[0006] The purpose of the present invention can be achieved through the following technical solutions: An intelligent collection system for hemodialysis machine treatment data includes a data collection and processing center, a hemodialysis information database, a treatment status evaluation unit, an information deviation evaluation unit, a collection transmission analysis unit, a collection management and distribution unit, and an operation management unit;

[0007] The data collection and processing center is used to retrieve the potential operation data of the hemodialysis machine from the hemodialysis information database and send the potential operation data to the treatment status evaluation unit. The treatment status evaluation unit is used to conduct an evaluation and analysis on the necessity of information collection for the received potential operation data, perform discriminant processing on the obtained operation condition evaluation coefficient, and obtain a normal signal or an abnormal signal;

[0008] The information offset evaluation unit is used to respond to the normal signal, simultaneously collect the information on the influence of the collection of the treatment data of the hemodialysis machine, and conduct an analysis on the accuracy classification of the collection influence information to obtain a first-level accuracy or a second-level accuracy;

[0009] The collection, transmission, and analysis unit is used to respond to the normal signal, simultaneously collect the collection and transmission information of the treatment data of the hemodialysis machine, and conduct a progressive analysis on the availability of information collection for the collection and transmission information to obtain a first-level availability or a second-level availability or a third-level availability;

[0010] Conduct an evaluation and feedback analysis on the first-level accuracy, the second-level accuracy, the first-level availability, the second-level availability, and the third-level availability. If both the first-level accuracy and the first-level availability are obtained simultaneously, an effective signal is generated; if the first-level accuracy and the first-level availability are not obtained simultaneously, a deviation signal is generated;

[0011] The collection, management, and allocation unit is used to respond to the effective signal, simultaneously collect the basic information input by the patient, and conduct a treatment matching and information collection management analysis on the basic information to obtain a sub-storage folder name and a dialysis folder name.

[0012] Preferably, the process of the evaluation and analysis on the necessity of information collection is as follows:

[0013] Collect the treatment period of the hemodialysis machine and set it as the time threshold, obtain the potential operation data of the hemodialysis machine within the time threshold. The potential operation data includes the start-stop response value and the parameter deviation index. Set the number of the start-stop response value and the parameter deviation index that are greater than or equal to the preset start-stop response value threshold and the preset parameter deviation index threshold as the operation condition evaluation coefficient, and conduct discriminant processing on the operation condition evaluation coefficient to obtain a normal signal or an abnormal signal.

[0014] Preferably, the start-stop response value represents the number of times that the difference between the actual end consumption time corresponding to the historical dialysis task of the hemodialysis machine and the preset end consumption time is greater than the preset threshold; the parameter deviation index represents the proportion of the number of times that the working condition information corresponding to the dialysis task exceeds the preset threshold in the total number of historical dialysis tasks of the hemodialysis machine. The working condition information includes the operating temperature and the mechanical vibration amplitude.

[0015] Preferably, the process of the accuracy classification analysis of the information collection is as follows:

[0016] Obtain the acquisition impact information of hemodialysis machine treatment data within the time threshold. The acquisition impact information includes the information offset index and the real-time evaluation index. Compare and analyze the information offset index and the real-time evaluation index with the preset information offset index threshold and the preset real-time evaluation index threshold to obtain the first-level accuracy and the second-level accuracy;

[0017] The analysis process of the information offset index is as follows: Obtain the number of acquisition interference information existing in the acquisition process of hemodialysis machine treatment data within the time threshold, and set the number of acquisition interference information existing in the acquisition process of hemodialysis machine treatment data as the information offset index. The acquisition interference information includes sensor failure and flow failure;

[0018] The analysis process of the real-time evaluation index is as follows: Obtain the part where the average value of the acquisition preprocessing duration of hemodialysis machine treatment data within the time threshold exceeds the preset threshold, and set the part where the average value of the acquisition preprocessing duration of hemodialysis machine treatment data exceeds the preset threshold as the real-time evaluation index. The average value of the acquisition preprocessing duration represents the average value of the duration between the start time and the end time of the acquisition preprocessing in the total number of historical uses of the hemodialysis machine.

[0019] Preferably, the progressive analysis process of the information collection availability is as follows:

[0020] Obtain the collection and transmission information of hemodialysis machine treatment data within the time threshold. The collection and transmission information includes the timeliness evaluation value and the credibility evaluation value. Compare and analyze the timeliness evaluation value and the credibility evaluation value with the preset timeliness evaluation value threshold and the preset credibility evaluation value threshold. Set the number corresponding to the timeliness evaluation value and the credibility evaluation value that is greater than or equal to the preset timeliness evaluation value threshold and the preset credibility evaluation value threshold as the transmission reliability value, and perform discrimination processing on the transmission reliability value to obtain first-level availability or second-level availability or third-level availability;

[0021] The timeliness evaluation value represents the product value obtained by multiplying the frequency at which the numerical value corresponding to the transmission parameter information of the hemodialysis machine treatment data exceeds the preset threshold by the value obtained by normalizing the power attenuation rate. The transmission parameter information includes the delay rate and the packet loss rate; The credibility evaluation value represents the product value obtained by multiplying the ratio of the number of error codes in the hemodialysis machine treatment data to the total number of codes by the value obtained by normalizing the interference index. The interference index represents the part where the environmental electromagnetic value exceeds the preset threshold.

[0022] Preferably, the treatment matching and information collection management analysis process is as follows:

[0023] The basic information input by the patient is obtained through the data recording program. The basic information includes name, gender, age, and ID number. At the same time, character extraction is performed on the basic information, and the string formed by the character extraction of the basic information is set as the dialysis identification string. At the same time, the list of historical dialysis identification strings is obtained, and the dialysis identification string is compared and analyzed with the list of historical dialysis identification strings one by one to obtain a matching signal or a first dialysis signal.

[0024] Preferably, when a matching signal is generated, S1: Obtain the record storage folder of the patient corresponding to the matching signal in the dialysis repository;

[0025] S2: Obtain the patient's current dialysis date, perform character extraction on the patient's current dialysis date, and set the string formed by the character extraction of the patient's current dialysis date as the sub-storage folder name. Set up a sub-storage folder in the record storage folder with the sub-storage folder name. At the same time, use the hemodialysis data collector to collect the treatment data of the patient undergoing hemodialysis in real time, and store the treatment data in the sub-storage folder name, which helps to improve the integration and subsequent retrieval and query of the patient's treatment data.

[0026] Preferably, when a first dialysis signal is generated, after obtaining the patient's name and the last six digits of the ID card, perform character extraction on the patient's name and the last six digits of the ID card, and set the string formed by the character extraction of the patient's name and the last six digits of the ID card as the dialysis folder name. Create a patient record folder in the dialysis repository, and the name of the newly created patient record folder is the dialysis folder name, and then execute the above S2 step.

[0027] The beneficial effects of the present invention are as follows:

[0028] (1) The present invention initially analyzes from the perspective of potential mutations in hemodialysis machines to determine whether the potential mutation risk of the operating state stability of hemodialysis machines is too high, and then understands whether to control the hemodialysis machines to work, so as to manage the hemodialysis machines targeted to improve the operating stability and safety of hemodialysis machines. And through the way of information feedback, analyze from two points of acquisition and collection transmission, so as to intuitively understand whether the acquisition and transmission of treatment data interfere with subsequent storage and collection, that is, understand the overall difficulty of collecting and storing the patient's treatment data from the perspective of acquisition and transmission, so as to conduct targeted management, and then ensure the integrity and effectiveness of the collection and storage of the patient's treatment data;

[0029] (2) The present invention performs treatment matching, information collection, management, and analysis on basic information through a progressive information method. On the one hand, it conducts preliminary identification and matching of patients to improve the accuracy of patient treatment information storage and the efficiency of information integration. On the other hand, it helps manage and set treatment information for first-time dialysis patients, contributing to the integration and subsequent retrieval and query of patient treatment data, and thus overall improving the efficiency of patient treatment data collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The present invention will be further described below in conjunction with the accompanying drawings;

[0031] Figure 1 is a system flow block diagram of the present invention;

[0032] Figure 2 is a partial analysis reference diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0034] Embodiment 1:

[0035] Please refer to Figures 1 to 2 As shown, the present invention is an intelligent blood dialysis machine treatment data collection system, including a data collection and processing center, a hemodialysis information database, a treatment status evaluation unit, an information deviation evaluation unit, a collection transmission analysis unit, a collection management and distribution unit, and an operation management unit. The hemodialysis information database is in one-way communication connection with the data collection and processing center. The data collection and processing center is in one-way communication connection with the treatment status evaluation unit. The treatment status evaluation unit is in one-way communication connection with both the information deviation evaluation unit and the collection transmission analysis unit. The information deviation evaluation unit is in one-way communication connection with the collection transmission analysis unit. The collection transmission analysis unit is in one-way communication connection with both the collection management and distribution unit and the operation management unit. The collection management and distribution unit is in one-way communication connection with the operation management unit;

[0036] The data collection and processing center is used to retrieve potential operation data of the hemodialysis machine from the hemodialysis information database and send the potential operation data to the treatment status evaluation unit;

[0037] The treatment status evaluation unit is used to evaluate and analyze the necessity of information collection for the received potential operation data, so as to judge whether the potential mutation risk of the operation status stability of the hemodialysis machine is too high, and then understand whether to control the hemodialysis machine to work, so as to conduct targeted management on the hemodialysis machine to improve the operation stability and safety of the hemodialysis machine. The specific process of information collection necessity evaluation and analysis is as follows:

[0038] Collect the treatment period of the hemodialysis machine and set it as the time threshold. Obtain the potential operation data of the hemodialysis machine within the time threshold. The potential operation data includes the start-stop response value and the parameter deviation index. Set the number of the start-stop response value and the parameter deviation index that are greater than or equal to the preset start-stop response value threshold and the preset parameter deviation index threshold as the operation condition evaluation coefficient, and conduct discriminant processing on the operation condition evaluation coefficient:

[0039] If the operation condition evaluation coefficient is equal to zero, generate a normal signal;

[0040] If the operation condition evaluation coefficient is not equal to zero, generate an abnormal signal, and send the normal signal or the abnormal signal to the operation management unit. After receiving the normal signal or the abnormal signal, the operation management unit immediately performs the preset warning operation corresponding to the normal signal or the abnormal signal, so as to conduct targeted management on the hemodialysis machine to improve the operation stability and safety of the hemodialysis machine;

[0041] In the embodiment of the present invention, the start-stop response value represents the number of times that the difference between the actual end consumption time corresponding to the historical dialysis task of the hemodialysis machine and the preset end consumption time is greater than the preset threshold. It should be noted that the start-stop response value is an influence parameter reflecting the operation state of the hemodialysis machine. The larger the value of the start-stop response value, the greater the abnormal risk of the operation state stability of the hemodialysis machine;

[0042] In the embodiment of the present invention, the parameter deviation index represents the proportion of the number of times that the working condition information corresponding to the dialysis task exceeds the preset threshold in the total number of historical dialysis tasks of the hemodialysis machine. The working condition information includes the operating temperature, the mechanical vibration amplitude, etc. It should be noted that the parameter deviation index is an influence parameter reflecting the operation state of the hemodialysis machine. The larger the value of the parameter deviation index, the higher the potential mutation probability of the operation state stability of the hemodialysis machine.

[0043] Embodiment 2:

[0044] When a normal signal is generated, the information deviation evaluation unit is used to respond to the normal signal, and at the same time collect the acquisition influence information of the hemodialysis machine treatment data, and conduct information acquisition accuracy division analysis on the acquisition influence information, so as to divide the acquisition accuracy of the current hemodialysis machine treatment data. The specific process of information acquisition accuracy division analysis is as follows:

[0045] Obtain the acquisition impact information of hemodialysis machine treatment data within the time threshold. The acquisition impact information includes an information offset index and a real-time evaluation index. Compare and analyze the information offset index and the real-time evaluation index with the preset information offset index threshold and the preset real-time evaluation index threshold:

[0046] If the information offset index is less than the preset information offset index threshold and the real-time evaluation index is less than the preset real-time evaluation index threshold, it is determined as first-level accuracy;

[0047] If the information offset index is greater than or equal to the preset information offset index threshold, or the real-time evaluation index is greater than or equal to the preset real-time evaluation index threshold, it is determined as second-level accuracy. Among them, the risk of abnormal acquisition of hemodialysis machine treatment data corresponding to the first-level accuracy and the second-level accuracy increases in turn;

[0048] The analysis process of the information offset index is as follows: Obtain the number of acquisition interference information existing in the process of collecting hemodialysis machine treatment data within the time threshold, and set the number of acquisition interference information existing in the process of collecting hemodialysis machine treatment data as the information offset index. The acquisition interference information includes sensor failures, flow failures, etc. It should be noted that the larger the value of the information offset index, the greater the risk of inaccuracy in collecting hemodialysis machine treatment data;

[0049] The analysis process of the real-time evaluation index is as follows: Obtain the part of the average acquisition preprocessing duration of hemodialysis machine treatment data within the time threshold that exceeds the preset threshold, and set the part of the average acquisition preprocessing duration of hemodialysis machine treatment data that exceeds the preset threshold as the real-time evaluation index. The average acquisition preprocessing duration represents the average duration between the start time and the end time of acquisition preprocessing in the total number of historical uses of the hemodialysis machine. It should be noted that the larger the value of the real-time evaluation index, the greater the risk of abnormal data acquisition processing ability and the greater the real-time impact;

[0050] When a normal signal is generated, the collection and transmission analysis unit is used to respond to the normal signal, and at the same time collect the collection and transmission information of hemodialysis machine treatment data, and perform progressive analysis on the availability of information collection. The specific process of progressive analysis on the availability of information collection is as follows:

[0051] Obtain the collection and transmission information of hemodialysis machine treatment data within the time threshold. The collection and transmission information includes a timeliness evaluation value and a credibility evaluation value. Compare and analyze the timeliness evaluation value and the credibility evaluation value with the preset timeliness evaluation value threshold and the preset credibility evaluation value threshold, and set the number of the timeliness evaluation value and the credibility evaluation value that are greater than or equal to the preset timeliness evaluation value threshold and the preset credibility evaluation value threshold as the transmission reliability value, and perform discriminant processing on the transmission reliability value:

[0052] If the transmission reliability value = 0, it is determined as first-level availability;

[0053] If the transmission reliability value = 1, it is determined as secondary availability;

[0054] If the transmission reliability value = 2, it is determined as tertiary availability. Among them, the data reliability corresponding to primary availability, secondary availability, and tertiary availability decreases in turn;

[0055] In the embodiment of the present invention, the timeliness evaluation value represents the product value obtained by multiplying the frequency at which the numerical value corresponding to the transmission parameter information of the hemodialysis machine treatment data exceeds the preset threshold by the value obtained after data normalization of the power attenuation rate. The transmission parameter information includes the delay rate, packet loss rate, etc. The power attenuation rate refers to the attenuation rate of the signal power during the transmission process. It should be noted that the larger the numerical value of the timeliness evaluation value, the lower the transmission reliability of the hemodialysis machine treatment data and the higher the risk of data failure;

[0056] In the embodiment of the present invention, the credibility evaluation value represents the product value obtained by multiplying the ratio of the number of error codes in the hemodialysis machine treatment data to the total number of codes by the value obtained after data normalization of the interference index. The interference index represents the part where the environmental electromagnetic value exceeds the preset threshold. It should be noted that the larger the numerical value of the credibility evaluation value, the greater the abnormal risk of data availability;

[0057] Perform evaluation feedback analysis on primary accuracy, secondary accuracy, primary availability, secondary availability, and tertiary availability. If both primary accuracy and primary availability are obtained simultaneously, an effective signal is generated;

[0058] If both primary accuracy and primary availability are not obtained simultaneously, a deviation signal is generated, and the effective signal or deviation signal is sent to the operation management unit. After receiving the effective signal or deviation signal, the operation management unit immediately performs the preset warning operation corresponding to the effective signal or deviation signal, so as to intuitively understand whether the acquisition and transmission of the treatment data interfere with the subsequent storage and collection, that is, to understand the overall difficulty of collecting and storing the patient's treatment data from the perspective of acquisition and transmission, so as to perform targeted management, and then ensure the integrity and effectiveness of the collection and storage of the patient's treatment data.

[0059] Embodiment Three:

[0060] When an effective signal is generated, the collection management allocation unit is used to respond to the effective signal, and at the same time collect the basic information input by the patient, and perform treatment matching and information collection management analysis on the basic information, which helps to improve the collection efficiency and storage reliability of the patient's treatment data. The specific treatment matching and information collection management analysis process is as follows:

[0061] The basic information input by the patient is obtained through the data recording program. The basic information includes name, gender, age, ID number, etc. At the same time, character extraction is performed on the basic information, and the string composed of the basic information after character extraction is set as the dialysis identification string. At the same time, the list of historical dialysis identification strings is obtained, and the dialysis identification string is compared and analyzed one by one with the list of historical dialysis identification strings:

[0062] If the dialysis identification string corresponds one by one to the list of historical dialysis identification strings, a matching signal is generated;

[0063] If the dialysis identification string does not correspond one by one to the list of historical dialysis identification strings, a first dialysis signal is generated;

[0064] When a matching signal is generated, S1: Obtain the record storage folder of the patient corresponding to the matching signal in the dialysis repository;

[0065] S2: Obtain the patient's current dialysis date, perform character extraction on the patient's current dialysis date, and set the string composed of the patient's current dialysis date after character extraction as the sub-storage folder name. Set up a sub-storage folder in the record storage folder with the sub-storage folder name. At the same time, use the hemodialysis data collector to collect the treatment data of the patient undergoing hemodialysis in real time, and store the treatment data in the sub-storage folder name, which helps to improve the integration and subsequent retrieval and query of the patient's treatment data;

[0066] When the first dialysis signal is generated, obtain the patient's name and the last six digits of the ID card. Perform character extraction on the patient's name and the last six digits of the ID card, and set the string composed of the patient's name and the last six digits of the ID card after character extraction as the dialysis folder name. Create a patient record folder in the dialysis repository, and the name of the newly created patient record folder is the dialysis folder name. Then execute the above S2 step, that is, obtain the patient's current dialysis date, perform character extraction on the patient's current dialysis date, and set the string composed of the patient's current dialysis date after character extraction as the sub-storage folder. Set the sub-storage folder in the record storage folder. At the same time, use the hemodialysis data collector to collect the treatment data of the patient undergoing hemodialysis in real time, and store the treatment data in the sub-storage folder, which helps to improve the collection efficiency and storage reliability of the patient's treatment data;

[0067] In summary, the present invention initially analyzes from the perspective of potential mutations in hemodialysis machines to determine whether the potential mutation risk of the operating state stability of hemodialysis machines is too high, and then to understand whether to control the hemodialysis machines to work, so as to conduct targeted management of hemodialysis machines to improve the operating stability and safety of hemodialysis machines. By means of information feedback, analysis is carried out from two points of acquisition and collection transmission, so as to intuitively understand whether the acquisition and transmission of treatment data interfere with subsequent storage and collection, that is, to understand the overall difficulty of collecting and storing patients' treatment data from the perspectives of acquisition and transmission, so as to conduct targeted management, and then ensure the integrity and effectiveness of collecting and storing patients' treatment data;

[0068] By means of information progression, treatment matching and information collection management analysis of basic information are carried out. On the one hand, preliminary identification and matching of patients are carried out to improve the accuracy of storing patients' treatment information and the efficiency of information integration. On the other hand, it helps to manage and set the treatment information of first-time dialysis patients, helps to improve the integration and subsequent retrieval and query of patients' treatment data, and then helps to overall improve the collection efficiency of patients' treatment data.

[0069] The setting of the threshold value is for the convenience of comparison. Regarding the size of the threshold value, it depends on the amount of sample data and the base quantity set by those skilled in the art for each group of sample data; as long as it does not affect the proportional relationship between the parameters and the quantified values.

[0070] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution of the present invention and its inventive concept, makes equivalent substitutions or changes, and all should be covered within the protection scope of the present invention.

Claims

1. An intelligent collection system for hemodialysis machine treatment data, characterized in that: It includes a data collection and processing center, a hemodialysis information database, a treatment status evaluation unit, an information deviation evaluation unit, a collection transmission analysis unit, a collection management allocation unit, and an operation management unit; The data collection and processing center is used to retrieve the potential operation data of the hemodialysis machine from the hemodialysis information database, and send the potential operation data to the treatment status evaluation unit, which is used to evaluate and analyze the necessity of information collection on the received potential operation data, and perform discrimination processing on the obtained operation evaluation coefficient to obtain a normal signal or an abnormal signal; The information deviation evaluation unit is used to respond to normal signals, collect the collection influence information of the hemodialysis machine treatment data, and divide and analyze the collection influence information according to the information collection accuracy to obtain the first-level accuracy or the second-level accuracy; The collection transmission analysis unit is used to respond to the normal signal, collect the collection transmission information of the hemodialysis machine treatment data, and perform progressive analysis on the collection transmission information to obtain the first level availability, the second level availability or the third level availability; Conduct evaluation feedback analysis on the first-level accuracy, second-level accuracy, first-level availability, second-level availability, and third-level availability. If both the first-level accuracy and the first-level availability are obtained at the same time, a valid signal is generated; if both the first-level accuracy and the first-level availability are not obtained at the same time, a deviation signal is generated; The collection management allocation unit is used to respond to the effective signal, collect the basic information input by the patient, and perform treatment matching and information collection management analysis on the basic information to obtain the sub-storage folder name and the dialysis folder name; The information collection accuracy division and analysis process is as follows: Acquire the collection influence information of the hemodialysis machine treatment data within the time threshold, the collection influence information includes the information deviation index and the real-time evaluation index, compare and analyze the information deviation index and the real-time evaluation index with the preset information deviation index threshold and the preset real-time evaluation index threshold, and obtain the first-level accuracy and the second-level accuracy; The analysis process of the information deviation index is as follows: obtaining the number of collection interference information in the hemodialysis machine treatment data collection process within the time threshold, and setting the number of collection interference information in the hemodialysis machine treatment data collection process as the information deviation index, and the collection interference information includes sensor failure and flow failure; The analysis process of the real-time evaluation index is as follows: obtaining the portion of the mean value of the collection preprocessing time of the hemodialysis machine treatment data within the time threshold that exceeds the preset threshold, and setting the portion of the mean value of the collection preprocessing time of the hemodialysis machine treatment data that exceeds the preset threshold as the real-time evaluation index, and the mean value of the collection preprocessing time represents the mean value of the time between the start time and the end time of the collection preprocessing in the total number of historical uses of the hemodialysis machine; The information collection availability progressive analysis process is as follows: Acquire the collection and transmission information of the hemodialysis machine treatment data within the time threshold, the collection and transmission information includes a timeliness evaluation value and a credibility evaluation value, compare and analyze the timeliness evaluation value and the credibility evaluation value with a preset timeliness evaluation value threshold and a preset credibility evaluation value threshold, set the number of timeliness evaluation values ​​and credibility evaluation values ​​that are greater than or equal to the preset timeliness evaluation value threshold and the preset credibility evaluation value threshold as the transmission reliability value, and perform discrimination processing on the transmission reliability value to obtain first-level availability, second-level availability, or third-level availability; The timeliness evaluation value represents the product of the frequency at which the value corresponding to the transmission parameter information of the hemodialysis machine treatment data exceeds the preset threshold and the power attenuation rate after data normalization, and the transmission parameter information includes the delay rate and the packet loss rate; the credibility evaluation value represents the product of the proportion of the number of bit errors in the hemodialysis machine treatment data to the total number of bits and the interference index after data normalization, and the interference index represents the part of the environmental electromagnetic value that exceeds the preset threshold.

2. The intelligent collection system for hemodialysis machine treatment data according to claim 1, characterized in that: The information collection necessity evaluation and analysis process is as follows: The treatment period of the hemodialysis machine is collected and set as a time threshold, and the potential operation data of the hemodialysis machine within the time threshold is obtained. The potential operation data includes the start-stop response value and the parameter deviation index. The number of start-stop response values ​​and parameter deviation indexes that are greater than or equal to the preset start-stop response value threshold and the preset parameter deviation index threshold is set as the operation condition evaluation coefficient, and the operation condition evaluation coefficient is discriminated and processed to obtain a normal signal or an abnormal signal.

3. The intelligent collection system for hemodialysis machine treatment data according to claim 2, characterized in that: The start-stop response value indicates the number of times that the difference between the actual end consumption time and the preset end consumption time corresponding to the historical dialysis tasks of the hemodialysis machine is greater than a preset threshold; the parameter deviation index indicates the proportion of the number of times that the working condition information corresponding to the dialysis tasks in the total number of historical dialysis tasks of the hemodialysis machine has a value that exceeds the preset threshold, and the working condition information includes operating temperature and mechanical vibration amplitude.

4. The intelligent collection system for hemodialysis machine treatment data according to claim 1, characterized in that: The treatment matching and information collection management analysis process is as follows: The basic information input by the patient is obtained through the data recording program, and the basic information includes name, gender, age, and ID number. At the same time, the basic information is extracted, and the character string composed of the character extraction of the basic information is set as the dialysis identification string. At the same time, the historical dialysis identification string list is obtained, and the dialysis identification string is compared and analyzed one by one with the historical dialysis identification string list to obtain a matching signal or a first dialysis signal.

5. The intelligent collection system for hemodialysis machine treatment data according to claim 4, characterized in that: When a matching signal is generated, S1: obtaining a record storage folder of the patient corresponding to the matching signal in the dialysis repository; S2: Obtain the patient's current dialysis date, perform character extraction on the patient's current dialysis date, and set the character string composed of the character extraction of the patient's current dialysis date as the sub-storage folder name, set the sub-storage folder in the record storage folder with the sub-storage folder name, and use the hemodialysis data collector to collect the treatment data of patients undergoing hemodialysis in real time, and store the treatment data in the sub-storage folder name, which helps to improve the integration of patient treatment data and subsequent retrieval queries.

6. The intelligent collection system for hemodialysis machine treatment data according to claim 5, characterized in that: When the first dialysis signal is generated, the patient's name and the last six digits of the ID card are obtained, and the characters of the patient's name and the last six digits of the ID card are extracted. The string composed of the extracted characters of the patient's name and the last six digits of the ID card is set as the dialysis folder name, and a new patient record folder is created in the dialysis storage repository, and the name of the new patient record folder is the dialysis folder name, and then the above S2 step is executed.

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