Special instrument panel for hemodialysis treatment scheme

Abstract

The invention relates to the technical field of medical equipment, in particular to a special instrument for a hemodialysis treatment scheme, which comprises a shell, a data receiving module and a data processing module are further arranged on the shell, and the data processing module is used for judging whether the remaining service life of a filter, the liquid state and accumulation of primary patient diseases are abnormal or not. The method comprises the following steps: acquiring filter residual service life of a filter, marking patients whose any one of filter residual service life, liquid state and accumulation of primary patient diseases is abnormal, assigning values to the marked patients according to abnormal degrees, calculating total scores of the marked patients, and arranging the total scores of the marked patients according to a descending order; the hemodialysis treatment equipment data processing method and the hemodialysis treatment equipment are used for processing the data collected by the hemodialysis treatment equipment, so that corresponding data support is provided for a dialysis prescription appointed by the user.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment, and in particular to a special instrument panel for hemodialysis treatment scheme. Background Art

[0002] Hemodialysis is a type of blood purification technology. Its principle is to rely on a semipermeable membrane and utilize the semipermeable membrane balance principle to allow the patient's blood and dialysate to flow through both sides of the dialysate membrane at the same time. With the help of the solute gradient and water pressure gradient difference on both sides of the membrane, harmful metabolic waste in the blood can diffuse into the dialysate through the semipermeable membrane, and the beneficial substances in the dialysate can diffuse into the blood. Ultrafiltration is used to remove excess water retained in the body, thereby removing harmful substances in the body, correcting electrolyte and acid-base imbalances, and replenishing the necessary substances in the body to achieve the purpose of purifying the blood. Hemodialysis is widely used in the treatment of acute and chronic renal failure and certain poisoning or drug overdose. In addition, hemodialysis can also be used to treat hypercalcemia, hyperuricemia, severe water, electrolyte, acid-base imbalance and other diseases.

[0003] The device widely used in the existing technology is CRRT, namely continuous renal replacement therapy (Continuous Renal Replacement Therapy). Compared with traditional renal dialysis, CRRT can provide more continuous and stable blood purification, and can also more permanently and effectively remove medium and large molecular solutes and inflammatory mediators in the patient's blood, while avoiding the rebound phenomenon of solute concentration in patients during dialysis.

[0004] In the existing CRRT, although the equipment can collect some data during the patient's treatment process, it lacks data that can directly provide data support for medical staff to formulate dialysis prescriptions. Summary of the invention

[0005] In order to solve the above problems, the present invention provides a dedicated dashboard for hemodialysis treatment plan, which is used to process data collected by hemodialysis treatment equipment, thereby providing corresponding data support for users to specify dialysis prescriptions.

[0006] In order to achieve the above object, the technical solution of the present invention is as follows: A hemodialysis treatment program dedicated instrument panel includes a housing, a display screen is installed on the housing, and the housing is also provided with:

[0007] A data receiving module, which is used to receive patient vital signs and examination results input by the user, and continuously receive real-time patient data of all patients collected by the hemodialysis treatment equipment;

[0008] A data processing module, the data processing module is used to obtain the filter service life, liquid state and accumulation of primary patient diseases according to the patient's vital signs, examination results and real-time patient data, and to construct a quantitative chart based on the filter service life, liquid state and accumulation of primary patient diseases; the data processing module is also used to determine whether there is an abnormality in the remaining service life of the filter, the liquid state and the accumulation of primary patient diseases, and to mark patients with abnormalities in any of the remaining service life of the filter, the liquid state and the accumulation of primary patient diseases, and to assign values ​​to the marked patients according to the degree of abnormality, calculate the total score of the marked patients, and arrange the total scores of the marked patients in descending order, and control the display screen to output the quantitative charts corresponding to the patients to the user in sequence according to the arrangement order;

[0009] The correction module is used to receive historical patient data and historical vital signs and historical examination results of historical patients, use the historical patient data, historical vital signs and historical examination results to build a verification model, predict the real-time patient data changes during the patient's treatment process according to the patient's vital signs and examination results to obtain a set of predicted data, and continuously calculate the similarity between the predicted data and the real-time patient data at the same time point. Only when the similarity is less than a preset value, the control display screen outputs the patient's real-time patient data and warning information to the user.

[0010] Furthermore, the data receiving module is also used to receive the medical staff scheduling information and the corresponding qualifications of the medical staff input by the user. The data processing module is also used to obtain the real-time time, and assign the corresponding medical staff to the patient according to the total score of the marked patient, the medical staff scheduling information, the real-time time and the corresponding qualifications of the medical staff, and output the medical staff information assigned to the patient while outputting the quantitative chart of the patient to the user on the control display screen.

[0011] Furthermore, the data receiving module is also used to receive the operating steps and usage specifications of the hemodialysis treatment equipment input by the user, and obtain the step group required by the user to search for different features in the real-time patient data based on the operating steps and usage specifications of the hemodialysis equipment. The data receiving module is also used to record the number of times different features in the real-time patient data are queried. The data receiving module is also used to receive instruction information input by the user, compare the instruction information with the steps at corresponding positions in the step group according to the order in which the instruction information is input, obtain the step group that is the same as the instruction information, and obtain the most queried features in the trial patient data corresponding to these step groups, and control the display screen to output these features to the user.

[0012] Furthermore, both real-time patient data and historical patient data include, but are not limited to, the patient's total ultrafiltration rate, set dialysis dosage, blood flow rate, arterial pressure, venous pressure, transmembrane pressure, input volume, output volume, and the start and end time of the patient's hemodialysis treatment.

[0013] Furthermore, the correction module is also used to compare the instruction information and the step group. When there is no step group that is identical to all the instruction information, the control display screen outputs an error prompt to the user.

[0014] Furthermore, the data receiving module is also used to denoise the real-time patient data.

[0015] Furthermore, the correction module is also used to construct the association between historical vital signs and historical examination results and historical patient data, and to construct a corresponding scatter plot based on the association, and delete the historical patient data corresponding to the outliers.

[0016] Furthermore, it also includes a camera, which is used to collect image information of personnel in the department. The data receiving module is also used to match the personnel in the department with the medical staff schedule one by one according to the personnel image information. The correction module is also used to screen the medical staff according to the personnel image information when the data processing module assigns corresponding medical staff to the patient, and screen out the medical staff who do not exist in the personnel image information at this time.

[0017] Furthermore, the data processing module is also used to determine whether the medical staff corresponding to the patient exists in the personnel image information based on the personnel information after the quantitative chart of the patient is output to the user through the display screen, and switch the information displayed on the display screen to the next patient after the medical staff corresponding to the patient does not exist in the personnel image.

[0018] Furthermore, the data processing module is also used to classify patients into high risk, medium risk and low risk according to the total score, and when controlling the display screen to output the quantitative chart of the corresponding patient, the display screen displays red light, yellow light and green light in sequence.

[0019] Technical principles and beneficial effects of the above scheme:

[0020] 1. This solution obtains the patient's vital signs, test results and various data during the hemodialysis treatment process, and independently calculates the patient's various data that can reflect the treatment effect and the use of the filter of the hemodialysis treatment equipment, and constructs corresponding quantitative charts based on the calculation results. The relevant data is output to the user in the form of quantitative charts, which is convenient for medical staff to evaluate the patient's treatment effect and the use of the filter of the hemodialysis treatment equipment, simplifying the medical staff's diagnosis and treatment process, and also provides data support for medical staff to choose anticoagulation strategies, treatment modes, blood flow velocity, etc., which helps to reduce the occurrence of filter downtime and other shortening of filter life caused by improper selection of anticoagulation strategies, thereby extending the service life of the filter and reducing treatment costs.

[0021] 2. This solution, through the design of a data processing module, uses the calculated data such as filter service life, liquid status and primary patient disease to judge the urgency of the patient's condition, and outputs the patient's information to medical staff from urgent to non-urgent. Compared with the existing technology, this solution does not require medical staff to check the patient's treatment status in turn to determine whether they need corresponding care or treatment, which helps to reduce manpower waste. Outputting patient information from urgent to non-urgent also helps to avoid the dispersion of medical resources to patients with milder conditions and delaying the treatment of patients with more urgent conditions, thereby facilitating the rational allocation of medical resources.

[0022] 3. This solution, through the correction module, builds a corresponding verification model through the historical patient data, historical vital signs and historical examinations of historical patients. Before hemodialysis treatment, the patient's real-time patient data is predicted, and the gap between the predicted result and the actual collected data is continuously compared during the hemodialysis treatment. When the gap is small, the actual collected data can be used for the subsequent calculation and production of quantitative charts. If the gap is large, the actual collected data may have caused a large error due to data transmission, medical staff's operational errors, etc. In order to avoid the error affecting the display module's judgment of the patient's condition and improve the accuracy of the device's judgment, it can also help medical staff to judge the stability of the operation of the device and the hemodialysis treatment device, so as to timely repair or replace the hemodialysis treatment device to avoid delays in the patient's treatment due to damage to the hemodialysis treatment device.

[0023] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 An axonometric diagram of an embodiment of a dedicated instrument panel for a hemodialysis treatment program of the present invention;

[0025] Figure 2 A circuit diagram of an embodiment of a dedicated instrument panel for hemodialysis treatment program of the present invention;

[0026] Figure 3 It is a structural schematic diagram of an embodiment of a dedicated instrument panel for hemodialysis treatment program of the present invention;

[0027] Figure 4 Flow chart of an embodiment of a dedicated dashboard for hemodialysis treatment plan of the present invention.

[0028] The reference numerals in the drawings of the specification include: 1. housing; 2. display screen; 3. data receiving module; 4. data processing module; 5. correction module. DETAILED DESCRIPTION

[0029] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0031] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0032] The following is further described in detail through specific implementation methods:

[0033] Example:

[0034] As attached Figure 1 -Attached Figure 4 As shown: A special instrument panel for hemodialysis treatment program, including a housing 1 and a camera, the camera is used to collect image information of personnel in the department, the housing 1 is fixedly connected with a display screen 2 by bolts, and the housing 1 is also provided with:

[0035] The data receiving module 3 includes a controller, the camera and the display screen 2 are electrically connected to the controller, and the controller is fixedly connected to the inner wall of the shell 1 by bolts. The data receiving module 3 is used to receive the patient's vital signs and examination results input by the user, wherein the patient's vital signs include age, weight, gender, blood pressure, heart rate and blood oxygen, etc., and the examination results include coagulation function, blood routine, blood renal function, albumin, blood sugar and acid-base balance, etc., and continuously receive the patient's real-time patient data collected during the operation of the hemodialysis treatment equipment, wherein the real-time patient data includes total ultrafiltration rate, set dialysis measurement, blood flow rate, arterial end pressure, venous pressure, transmembrane pressure, input volume, water output, the start time and end time of the patient's hemodialysis treatment, etc.; the data receiving module 3 is also used to receive the medical staff's scheduling information input by the user and the qualifications of each medical staff in the scheduling information, and the medical staff's scheduling information includes the medical staff's name, work number and facial image, etc.

[0036] The data receiving module 3 is also used to receive the operating steps and usage specifications of the hemodialysis treatment equipment input by the user, and obtain the step group required to find different features in the real-time patient data and the number of times different features in the real-time patient data are queried according to the operating steps and usage specifications of the hemodialysis treatment equipment. At the same time, it receives the instruction information input by the user, and compares the instruction information with the steps at the corresponding position in the step group according to the order in which the instruction information is input, and screens out the features with the most queries in the real-time patient data features corresponding to the step group that is the same as the instruction information, and displays it to the user through the display screen 2.

[0037] For example, according to the operating steps and usage specifications of the hemodialysis treatment equipment, the step group for obtaining blood flow is (abcd) with a query number of 1, the step group for obtaining the total ultrafiltration rate is (abmr) with a query number of 2, the step group for obtaining the water output is (abmt) with a query number of 3, and the step group for obtaining the transmembrane pressure is (cbqd) with a query number of 4. In the process of the user entering instructions in sequence, the user begins to enter instruction information a. At this time, only a exists in the step group for obtaining blood volume, total ultrafiltration rate and water output. In this case, the transmembrane pressure is screened out, and the water output has the largest number of queries. It is reasonably predicted that the real-time patient feature that the user wants to query is the water output, so the water output is output to the user. Then the user continues to enter instruction information b and m. At this time, the blood flow is screened out, and the query number of the water output is At most, the display screen 2 still outputs the water output to the user, and uses the query times to judge the frequency of querying each feature in the real-time patient data. The higher the frequency, the higher the probability of being queried in this query. By giving priority to outputting features with higher query rates to users, it is helpful to reduce the user's operation steps, thereby shortening the user's usage time and saving time for subsequent treatment; the data receiving module 3 is also used to denoise the real-time patient data, which is helpful to improve the quality of the real-time patient data and reduce the noise caused by the data transmission process, thereby improving the accuracy and reliability of the data, and also helps to reduce unnecessary computational complexity; the data receiving module 3 is also used to extract features from personnel images, and according to the extracted features, the medical staff in the department at this time are matched one by one with the medical staff schedule.

[0038] The data processing module 4 is used to construct a quantitative chart based on the patient's vital signs, examination results and real-time patient data, wherein the filter life of the corresponding hemodialysis device is calculated according to the start time and end time of the hemodialysis treatment of the patient. For example, a hemodialysis device is used by three patients in a unit time, wherein the difference between the end time and the start time of patient A is a hour, the difference between the end time and the start time of patient B is b hours, and the difference between the end time and the start time of patient C is c hours. Then the usage time of the hemodialysis device in a unit time is (a+b+c) hours. The filter remaining life of the device is calculated according to the historical usage time of the device and the type of the device. The remaining usage time is the service life of the filter. At the same time, the service life of the filter is adjusted according to the transmembrane pressure, arterial pressure and venous pressure. For example, when the transmembrane pressure increases, the arterial pressure is too high or the venous pressure is too high, the remaining life of the filter will decrease. The input volume, water output and patient weight are used to calculate the fluid status in the patient's body. The accumulation indicators of the patient's primary disease are evaluated according to blood pressure, heart rate, blood medicine, coagulation function, blood routine, blood renal function, albumin, blood sugar and acid-base balance. The patient's quantitative chart includes real-time fluid status, filter service life, treatment time, set dialysis dosage, accumulation indicators of primary patient diseases, etc. The data processing module 4 is also used to determine whether the remaining service life of the filter is less than the minimum value of its preset range, whether the liquid state does not fall within its preset range, and whether the accumulation of the primary patient's disease is greater than the maximum value of the preset range. If any of the above items exists, the patient is abnormal, that is, the corresponding patient is marked, and the difference between the corresponding data and its preset range is calculated. For example, if the preset range of the remaining service life of the filter is 1-12, the remaining service life of the filter is 0.5, and the corresponding difference is 0.5. The remaining service life of the filter, the liquid state, and the correlation between the accumulation of abnormal primary patient diseases and the acute adverse reactions of the patient are assigned values, among which the one with stronger correlation is the one with stronger correlation. The item has a higher assignment, and the difference between the remaining service life of the filter, the liquid state and the accumulation of the primary patient's disease and the sum of the corresponding assignments are calculated for the patient who is currently undergoing hemodialysis treatment with the hemodialysis equipment in the department. For example, the remaining service life of the filter is assigned to e, the liquid state is assigned to f, and the accumulation of the primary patient's disease is assigned to g. Among the three items of patient D, only the first two are abnormal, and the difference between the abnormal value and the preset range is 3 and 1 respectively. Then the total score of patient D is (3e+f). The assistance of the patient who is currently undergoing hemodialysis is summarized and arranged in descending order according to the data size. The display screen 2 is controlled to work according to the arrangement order, and the contents of the quantitative chart corresponding to the patient are output to the user in turn.

[0039] The data processing module 4 is also used to obtain the real-time time (for example, the morning of × year × month ×), and allocate the corresponding medical staff to the patient according to the total score of the marked patient, the medical staff scheduling information, the real-time time and the corresponding qualifications of the medical staff, that is, according to the real-time time and the medical staff scheduling information, determine the list of medical staff working at that time and the corresponding qualifications of these medical staff, screen the working medical staff according to the total score of the marked patient, and allocate the medical staff who are qualified to provide care or treatment for the patient to the marked patient in descending order of the total score of the marked patient, and then when the control display screen 2 outputs the quantitative chart of the patient to the user, it synchronously outputs the information of the medical staff allocated to the corresponding patient. Through the above scheme, it is possible to realize the autonomous allocation of medical staff according to the urgency of the patient's status, improve the utilization rate of medical staff manpower, reduce the occurrence of repeated allocation or critical patients without care due to improper allocation, which is conducive to improving the management efficiency within the department. At the same time, by autonomously allocating medical staff with appropriate qualifications to patients, it is conducive to ensuring the standardization of treatment or care, and is conducive to improving patients' trust in medical staff, thereby improving patients' compliance.

[0040] The data processing module 4 is also used to determine whether the medical staff corresponding to the patient exists in the personnel image information after outputting the patient quantitative chart to the user through the display screen 2 according to the personnel image information, that is, whether the medical staff is still in the department and has not gone to the ward to treat or care for the patient. If the medical staff does not exist in the personnel image information, the medical staff may have gone to the corresponding ward. At this time, the display screen 2 is controlled to switch the displayed quantitative chart so that the display screen 2 displays the quantitative chart of the next patient, thereby realizing automatic switching of patient information. Compared with the manual switching method of medical staff, it is more efficient. Moreover, since the information displayed on the display screen 2 is the data of the patient that needs to be processed in time, the display screen 2 can also prompt the medical staff to a certain extent, so as to avoid the situation where the patient information is not updated in time and the patient care or treatment is not timely, which may cause medical accidents. Compared with the solution of automatically switching the patient information by designing a time interval, this solution only switches the patient information when the patient is in the patient's state. The assigned medical staff will switch the patient information only after they go to the ward, which can reduce the situation where the medical staff miss the information and miss the patient, and can also avoid medical accidents to a certain extent; the display module 5 is also used to divide the patient's status according to the total score, from high to low into high risk, medium risk and low risk, and when the display module 5 controls the display screen 2 to output the corresponding patient quantitative chart to the user, the display screen 2 is made to show red light, yellow light and green light. Through the above design, since these three colors are highly recognizable, when a high-risk patient appears, the red light of the display screen 2 can make the medical staff quickly notice it, so as to quickly set out. Therefore, compared with the scheme that does not use light reminders, this scheme does not require personnel to always watch the display screen 2. When a high-risk patient appears, the screen with red light can quickly attract the attention of medical staff, thereby shortening the time interval for discovering the appearance of high-risk patients, that is, shortening the reaction time of medical staff, which is conducive to increasing the treatment time of medical staff and improving the survival rate of patients.

[0041] Correction module 5 is used to receive historical patient data of historical patients and corresponding historical vital signs and historical examination results, and to construct corresponding relationships between all features of the historical vital signs and historical examination results and each feature in the historical patient data according to the corresponding relationship between the historical vital signs and historical examination results and the historical patient data, and to construct a verification model according to the above corresponding relationship, and to use the verification model to predict the changes of real-time patient data during the treatment of the patient (i.e., the patient who is currently undergoing hemodialysis treatment) according to the vital signs and examination results of the patient, obtain a set of prediction data, and calculate the prediction at the same time point. The similarity between the data and the real-time patient data is that when the similarity between the two is greater than or equal to the preset value, the real-time patient data is in a normal state and is used for subsequent data calculation and output. If the similarity between the two is less than the preset value, there is a deviation between the real-time patient data and the predicted data. At this time, the real-time data error may be caused by a malfunction of the hemodialysis equipment, an operational error of the medical staff, or an error in data transmission. At this time, the control display screen 2 outputs the real-time patient data of the patient and the warning information to the user, reminding the medical staff that the patient data may be deviated and should be checked and adjusted in time to avoid delays caused by data errors.

[0042] The correction module 5 is also used to compare the instruction information with the step group. When the instruction information input by the user does not exist in any step group, the user may make an output error. At this time, the control display screen 2 outputs an error prompt to the user, prompting the user to make adjustments to avoid wasting the user's waiting time. For example, when the user inputs the instruction information f at the beginning, and the first step in the step group corresponding to any feature is f, the user operation is wrong, and an error prompt is output to the user. The correction module 5 is also used to establish an association between the historical vital signs and the historical examination results and the corresponding historical patient data, and to establish the corresponding A scatter plot is formed, and according to the density of data distribution, points with a density lower than a preset range are marked as outliers, and the historical patient data corresponding to the outliers are deleted, so that the historical patient data has universal applicability, avoiding the interference of extreme data on the prediction model, and improving the accuracy of the prediction data; the correction module 5 is also used to screen the medical staff according to the personnel image information when the display module 5 assigns the corresponding medical staff to the patient, and screen out the medical staff who do not exist in the personnel image information at this time, that is, the medical staff who are not in the department are not assigned to the patient, so as to avoid repeated assignment or assignment to medical staff who are not on duty, resulting in untimely patient care.

[0043] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A dedicated instrument panel for hemodialysis treatment plan, comprising a housing (1), on which a display screen (2) is mounted, characterized in that: The housing (1) is also provided with: A data receiving module (3), the data receiving module (3) is used to receive patient vital signs and examination results input by a user, and continuously receive real-time patient data of all patients collected by the hemodialysis treatment equipment; The data processing module (4) is used to obtain the filter service life, liquid state and accumulation of primary patient diseases according to the patient's vital signs, examination results and real-time patient data, and to construct a quantitative chart based on the filter service life, liquid state and accumulation of primary patient diseases. The data processing module (4) is also used to determine whether there is an abnormality in the filter's remaining service life, liquid state and accumulation of primary patient diseases, and to mark patients with any abnormality in the filter's remaining service life, liquid state and accumulation of primary patient diseases, and to assign values ​​to the marked patients according to the degree of abnormality, calculate the total score of the marked patients, and arrange the total scores of the marked patients in descending order, and control the display screen (2) to output the quantitative charts corresponding to the patients to the user in sequence according to the arrangement order; A correction module (5), the correction module (5) is used to receive historical patient data and historical vital signs and historical examination results of historical patients, use the historical patient data, historical vital signs and historical examination results to build a verification model, predict the real-time patient data changes during the patient's treatment process based on the patient's vital signs and examination results to obtain a set of predicted data, and continuously calculate the similarity between the predicted data and the real-time patient data at the same time point. Only when the similarity is less than a preset value, the control display screen (2) outputs the patient's real-time patient data and warning information to the user.

2. The hemodialysis treatment plan dedicated instrument panel according to claim 1, characterized in that: The data receiving module (3) is also used to receive the medical staff scheduling information and the corresponding qualifications of the medical staff input by the user, and the data processing module (4) is also used to obtain the real-time time, and assign the corresponding medical staff to the patient according to the total score of the marked patient, the medical staff scheduling information, the real-time time and the corresponding qualifications of the medical staff, and output the medical staff information assigned to the patient while outputting the quantitative chart of the patient to the user on the control display screen (2).

3. The hemodialysis treatment plan dedicated instrument panel according to claim 2, characterized in that: The data receiving module (3) is also used to receive the operating steps and usage specifications of the hemodialysis treatment device input by the user, and obtain the step group required by the user to search for different features in the real-time patient data based on the operating steps and usage specifications of the hemodialysis treatment device. The data receiving module (3) is also used to record the number of times different features in the real-time patient data are queried. The data receiving module (3) is also used to receive instruction information input by the user, compare the instruction information with the steps at corresponding positions in the step group according to the order in which the instruction information is input, obtain the step group that is the same as the instruction information, and obtain the most queried features among the features of the real-time patient data corresponding to these step groups, and control the display screen (2) to output these features to the user.

4. The hemodialysis treatment plan dedicated instrument panel according to claim 3, characterized in that: Both real-time patient data and historical patient data include, but are not limited to, the patient's total ultrafiltration rate, set dialysis dosage, blood flow rate, arterial end pressure, venous pressure, transmembrane pressure, input volume, water output, and the start and end time of the patient's hemodialysis treatment.

5. The hemodialysis treatment plan dedicated instrument panel according to claim 4, characterized in that: The correction module (5) is also used to compare the instruction information and the step group, and when there is no step group that is identical to all the instruction information, the control display screen (2) outputs an error prompt to the user.

6. The hemodialysis treatment plan dedicated instrument panel according to claim 5, characterized in that: The data receiving module (3) is also used to remove noise from real-time patient data.

7. The hemodialysis treatment plan dedicated instrument panel according to claim 6, characterized in that: The correction module (5) is also used to construct the association between the historical vital signs and historical examination results and the historical patient data, and to construct a corresponding scatter plot based on the association, and delete the historical patient data corresponding to the outliers.

8. The hemodialysis treatment plan dedicated instrument panel according to claim 7, characterized in that: The system also includes a camera for collecting image information of personnel in the department. The data receiving module (3) is also used to match the personnel in the department with the medical staff schedule one by one according to the image information of the personnel. The correction module (5) is also used to screen the medical staff according to the image information of the personnel when the data processing module (4) assigns the corresponding medical staff to the patient, and to screen out the medical staff that does not exist in the image information of the personnel at this time.

9. The hemodialysis treatment plan dedicated instrument panel according to claim 8, characterized in that: The data processing module (4) is also used to determine whether the medical staff corresponding to the patient exists in the personnel image information based on the personnel image information after the quantitative chart of the patient is output to the user through the display screen (2), and switch the information displayed on the display screen (2) to the next patient after the medical staff corresponding to the patient does not exist in the personnel image.

10. The hemodialysis treatment plan dedicated instrument panel according to claim 9, characterized in that: The data processing module (4) is also used to classify patients into high risk, medium risk and low risk according to the total score, and when controlling the display screen (2) to output a quantitative chart corresponding to the patient, the display screen (2) is caused to display red light, yellow light and green light in sequence.

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