Intelligent blood purification information management system

Abstract

The invention relates to an intelligent blood purification information management system, and the system comprises a blood purification data obtaining module which is used for obtaining the blood purification data of each blood purification machine according to the communication connection relation with a plurality of blood purification machines; the physical sign blood gas data acquisition module is used for acquiring physical sign monitoring data and blood gas analysis data of each monitoring device according to the communication connection relationship with the plurality of monitoring devices; the test data acquisition module is used for acquiring patient test data according to the communication connection relationship with the hospital electronic system; the data storage module is used for storing the blood purification data, the physical sign monitoring data, the blood gas analysis data and the patient inspection data to a system database; and the analysis and early warning module is used for monitoring and analyzing the acquired blood purification data, the physical sign monitoring data, the blood gas analysis data and the patient examination data in real time by using a big data algorithm so as to predict complications in the blood purification process and give an early warning according to the predicated complications.

Description

Technical Field

[0001] This application relates to the technical field of medical systems, and in particular to an intelligent blood purification information management system. Background Technology

[0002] In the current medical environment, blood purification therapy is a vital means for many patients to maintain their health. However, existing blood purification information management systems suffer from numerous problems. For example, data records are scattered and non-standardized, and data from different departments and devices is difficult to integrate, making it challenging for doctors to obtain complete patient treatment information and affecting the accuracy and timeliness of treatment decisions. Simultaneously, the lack of effective real-time monitoring and early warning mechanisms makes it impossible to promptly detect abnormalities in patients during blood purification, increasing medical risks. Furthermore, traditional information systems are complex to operate, requiring medical staff to spend a significant amount of time on data entry and management, reducing work efficiency. Summary of the Invention

[0003] Therefore, the purpose of this application is to provide a blood purification information management system that can overcome the shortcomings of the prior art.

[0004] To achieve the above objectives, the technical solution adopted in this application is as follows:

[0005] An intelligent blood purification information management system, comprising:

[0006] The blood purification data acquisition module is used to acquire blood purification data of each of the blood purification machines based on the communication connection relationship with the machines.

[0007] The vital signs and blood gas data acquisition module is used to acquire vital signs monitoring data and blood gas analysis data from each of the monitoring devices based on the communication connection relationship with several monitoring devices;

[0008] The test data acquisition module is used to acquire patient test data based on the communication connection with the hospital's electronic system;

[0009] The data storage module is used to store the blood purification data, the vital signs monitoring data, the blood gas analysis data, and the patient test data into the system database;

[0010] The analysis and early warning module is used to monitor and analyze the acquired blood purification data, vital sign monitoring data, blood gas analysis data and patient test data in real time using big data algorithms, so as to predict complications during the blood purification process and issue early warnings based on the predicted complications.

[0011] As one implementation method, the step of acquiring vital sign monitoring data and blood gas analysis data from each of the monitoring devices based on communication connections with several monitoring devices includes:

[0012] Based on the communication connection with several blood purification machines, the blood flow rate, replacement fluid rate, dialysate rate, blood purification mode, dialysate formula, replacement fluid formula, and acid-base balance index uploaded by each of the blood purification machines are obtained.

[0013] In one implementation, the monitoring device includes a patient monitor and a blood gas analyzer;

[0014] The step of obtaining vital sign monitoring data from each of the monitoring devices based on communication connections with several monitoring devices includes:

[0015] Based on the communication connection with several monitors, the vital signs, body temperature, blood pressure and heart rate uploaded by each of the monitoring devices are obtained;

[0016] Based on communication connections with several blood gas analyzers, the following blood gas analysis parameters are obtained: pH value, partial pressure of carbon dioxide (PCO2), base excess (BE), and serum sodium (Na). + Serum potassium K + Blood calcium (Ca) 2+ And blood lactate (Lac).

[0017] In one implementation, the hospital electronic system includes a LIS system;

[0018] The step of acquiring patient test data based on the communication connection with the hospital's electronic system includes:

[0019] Based on the communication connection with the LIS system, the patient's clinical laboratory index data, liver function index data, and coagulation function index data are obtained.

[0020] As one implementation method, the clinical laboratory data include white blood cell count, platelet count, procalcitonin (PCT), C-reactive protein (CRP), and blood lactate (LAC).

[0021] The liver function indicators included albumin, total bilirubin (TBIL), and direct bilirubin (DBIL).

[0022] The coagulation function indicators include the International Normalized Ratio (INR), Prothrombin Activity (PT-A), Prothrombin Time (PT), Activated Partial Thromboplastin Time (APTT), Fibrinogen (FIB), and Thrombin Time (TT).

[0023] As one implementation method, the intelligent blood purification information management system also includes:

[0024] The vital signs monitoring data, the blood gas analysis data, and the patient's test data are compared with preset data indicator reference ranges to obtain normal indicator data and abnormal indicator data.

[0025] The normal indicator data is displayed according to the first display parameter, and the abnormal indicator data is displayed according to the second display parameter.

[0026] As one implementation method, the reference ranges for the data indicators include: reference ranges for vital signs, reference ranges for blood gas analysis, reference ranges for clinical laboratory indicators, reference ranges for liver function indicators, and reference ranges for coagulation indicators.

[0027] The reference ranges for vital signs include: body temperature: 36-37℃, blood pressure: systolic pressure 90-139 mmHg, diastolic pressure: 60-89 mmHg, and heart rate: 60-100 beats / minute.

[0028] The reference ranges for the blood gas analysis indicators include: pH: 7.35-7.45, PCO2: 35-45 mmHg, BE: -3 to +3 mmol / L, Na... + 135-145 mmol / L, K + 3.5-5.5 mmol / L, Ca 2 Total calcium 2.25-2.58 mmol / L; Ionic calcium 1.10-1.34 mmol / L;

[0029] The reference ranges for the clinical laboratory indicators include: White blood cell count: Adults (4.0-10.0) × 10⁻¹⁰ 9 / L, platelets: (100-300)×10 9 / L, PCT < 0.05 ng / ml, CRP < 10 mg / L, LAC: 0.5-1.7 mmol / L;

[0030] The reference ranges for liver function indicators include: albumin: 35-55 g / L, TBIL: 3.4-17.1 μmol / L, DBIL: 0-6.8 μmol / L;

[0031] The reference ranges for coagulation indicators include: INR: 0.8-1.2, PT-A: 70%-130%, PT: 11-13 seconds, APTT: 25-37 seconds, FIB: 2-4 g / L, TT: 16-18 seconds.

[0032] As one implementation method, the intelligent blood purification information management system also includes:

[0033] The formula information editing module is used to respond to the interactive operations of medical staff, adding, deleting, modifying or calling formula information in the department's exclusive formula dictionary; the formula information includes basic electrolyte formulas and anticoagulant dosage formulas.

[0034] As one implementation method, the intelligent blood purification information management system also includes:

[0035] The ion concentration acquisition module is used to acquire the ion concentration in the replacement fluid corresponding to the replacement fluid formula based on the basic electrolyte formula and the anticoagulant dosage formula.

[0036] As one implementation method, the intelligent blood purification information management system also includes:

[0037] The formula information extraction and analysis module is used to extract and analyze parameters from several formula information and display the parameter analysis comparison results of several formula information through a table template.

[0038] Compared with traditional technologies, the beneficial effects of this application are:

[0039] The intelligent blood purification information management system of this application can acquire and store blood purification data from the blood purification machine, vital sign monitoring data and blood gas analysis data from the monitoring equipment, as well as patient test data from the hospital's electronic system. Then, it uses big data algorithms to monitor and analyze the acquired blood purification data, vital sign monitoring data, blood gas analysis data, and patient test data in real time to predict complications during the blood purification process and issue early warnings based on the predicted complications. This helps to promptly detect abnormalities in patients during the blood purification process and improves the safety and scientific nature of blood purification treatment.

[0040] To better understand and implement this application, the following detailed description is provided in conjunction with the accompanying drawings. Attached Figure Description

[0041] Figure 1 This is a schematic diagram of the module connections of an intelligent blood purification information management system according to an embodiment of this application;

[0042] Figure 2 This is a schematic diagram of dialysate changes in an intelligent blood purification information management system according to an embodiment of this application;

[0043] Figure 3 This is a schematic diagram illustrating the basic fluid changes in an intelligent blood purification information management system according to an embodiment of this application.

[0044] Figure 4 This is a schematic diagram illustrating the citric acid changes in an intelligent blood purification information management system according to an embodiment of this application.

[0045] 101. Blood purification data acquisition module; 103. Vital signs and blood gas data acquisition module; 105. Laboratory data acquisition module; 107. Data storage module; 109. Analysis and early warning module. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0047] It should be understood that the described embodiments are merely some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of the embodiments of this application.

[0048] In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. In the description of this application, it should be understood that the terms "first," "second," "third," etc., are used only to distinguish similar objects and are not necessarily used to describe a specific order or sequence, nor should they be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances. The singular forms "a," "the," and "the" used in this application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. The word "if" as used herein can be interpreted as "when," "when," or "in response to determination."

[0049] Furthermore, in the description of this application, unless otherwise stated, "multiple" means two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0050] Please see Figure 1 This is a schematic diagram of the module connections of the intelligent blood purification information management system according to the first embodiment of this application, including:

[0051] The blood purification data acquisition module 101 is used to acquire blood purification data of each of the blood purification machines according to the communication connection relationship with the blood purification machines.

[0052] The vital signs and blood gas data acquisition module 103 is used to acquire vital signs monitoring data and blood gas analysis data of each of the monitoring devices according to the communication connection relationship with several monitoring devices;

[0053] The test data acquisition module 105 is used to acquire patient test data based on the communication connection with the hospital's electronic system;

[0054] Data storage module 107 is used to store the blood purification data, vital sign monitoring data, blood gas analysis data and patient test data into the system database;

[0055] The analysis and early warning module 109 is used to monitor and analyze the acquired blood purification data, vital sign monitoring data, blood gas analysis data and patient test data in real time using big data algorithms, so as to predict complications during the blood purification process and issue early warnings based on the predicted complications.

[0056] The intelligent blood purification information management system of this application can acquire and store blood purification data from the blood purification machine, vital sign monitoring data and blood gas analysis data from the monitoring equipment, as well as patient test data from the hospital's electronic system. Then, it uses big data algorithms to monitor and analyze the acquired blood purification data, vital sign monitoring data, blood gas analysis data, and patient test data in real time to predict complications during the blood purification process and issue early warnings based on the predicted complications. This helps to promptly detect abnormalities in patients during the blood purification process and improves the safety and scientific nature of blood purification treatment.

[0057] In a feasible embodiment, the step of acquiring vital sign monitoring data and blood gas analysis data from each of the monitoring devices based on communication connections with several monitoring devices includes:

[0058] Based on the communication connection with several blood purification machines, the blood flow rate, replacement fluid rate, dialysate rate, blood purification mode, dialysate formula, replacement fluid formula, and acid-base balance index uploaded by each of the blood purification machines are obtained.

[0059] In one feasible embodiment, the monitoring device includes a patient monitor and a blood gas analyzer;

[0060] The step of obtaining vital sign monitoring data from each of the monitoring devices based on communication connections with several monitoring devices includes:

[0061] Based on the communication connection with several monitors, the vital signs, body temperature, blood pressure and heart rate uploaded by each of the monitoring devices are obtained;

[0062] Based on communication connections with several blood gas analyzers, the following blood gas analysis parameters are obtained: pH value, partial pressure of carbon dioxide (PCO2), base excess (BE), and serum sodium (Na). + Serum potassium K + Blood calcium (Ca) 2+ And blood lactate (Lac).

[0063] In one feasible embodiment, the hospital electronic system includes a LIS system;

[0064] The step of acquiring patient test data based on the communication connection with the hospital's electronic system includes:

[0065] Based on the communication connection with the LIS system, the patient's clinical laboratory index data, liver function index data, and coagulation function index data are obtained.

[0066] In one feasible embodiment, the clinical laboratory data include white blood cell count, platelet count, procalcitonin (PCT), C-reactive protein (CRP), and blood lactate (LAC).

[0067] The liver function indicators included albumin, total bilirubin (TBIL), and direct bilirubin (DBIL).

[0068] The coagulation function indicators include the International Normalized Ratio (INR), Prothrombin Activity (PT-A), Prothrombin Time (PT), Activated Partial Thromboplastin Time (APTT), Fibrinogen (FIB), and Thrombin Time (TT).

[0069] In one feasible embodiment, the intelligent blood purification information management system further includes:

[0070] The vital signs monitoring data, the blood gas analysis data, and the patient's test data are compared with preset data indicator reference ranges to obtain normal indicator data and abnormal indicator data.

[0071] The normal indicator data is displayed according to the first display parameter, and the abnormal indicator data is displayed according to the second display parameter.

[0072] The first displayed parameter can be blue, and the second displayed parameter can be red. The comparison results can be displayed intuitively, such as red values ​​indicating warnings and blue values ​​indicating normal status. When abnormal indicator data occurs, the system can also issue a pop-up warning.

[0073] In one feasible embodiment, the reference range of the data indicators includes: reference range of vital signs indicators, reference range of blood gas analysis indicators, reference range of clinical laboratory indicators, reference range of liver function indicators, and reference range of coagulation indicators.

[0074] The reference ranges for vital signs include: body temperature: generally 36-37℃ (axillary temperature), blood pressure: systolic pressure 90-139 mmHg, diastolic pressure: 60-89 mmHg, heart rate: 60-100 beats / minute.

[0075] The reference ranges for the blood gas analysis parameters include: pH: 7.35-7.45, PCO2 (partial pressure of carbon dioxide): 35-45 mmHg, BE (base excess): -3 to +3 mmol / L, Na... + (Serum sodium): 135-145 mmol / L, K + (Serum potassium): 3.5-5.5 mmol / L, Ca 2+ (Blood calcium): Total calcium 2.25-2.58 mmol / L; Ionized calcium 1.10-1.34 mmol / L;

[0076] The reference ranges for the clinical laboratory indicators include: White blood cell count: Adults (4.0-10.0) × 10⁻¹⁰ 9 / L, platelets: (100-300)×10 9 / L, PCT (procalcitonin) <0.05ng / ml, CRP (C-reactive protein) <10mg / L, LAC (blood lactate): 0.5-1.7mmol / L;

[0077] The reference ranges for liver function indicators include: albumin: 35-55 g / L, TBIL (total bilirubin): 3.4-17.1 μmol / L, and DBIL (direct bilirubin): 0-6.8 μmol / L;

[0078] The reference ranges for the coagulation indicators include: INR (International Normalized Ratio): 0.8-1.2, PT-A (Prothrombin Activity): 70%-130%, PT (Prothrombin Time): 11-13 seconds, APTT (Activated Partial Thromboplastin Time): 25-37 seconds, FIB (Fibrinogen): 2-4 g / L, and TT (Thrombin Time): 16-18 seconds.

[0079] In the above parameter range, "-" indicates the range. For example, TT (thrombin time): 16-18 seconds means that the reference range of TT (thrombin time) is 16 to 18 seconds.

[0080] In one feasible embodiment, the intelligent blood purification information management system further includes:

[0081] The formula information editing module is used to respond to the interactive operations of medical staff, adding, deleting, modifying or calling formula information in the department's exclusive formula dictionary; the formula information includes basic electrolyte formulas and anticoagulant dosage formulas.

[0082] Among these features, medical staff can also select appropriate formulas based on different clinical scenarios, and the system will automatically adjust treatment parameters according to the selected formula.

[0083] In one feasible embodiment, the intelligent blood purification information management system further includes:

[0084] The ion concentration acquisition module is used to acquire the ion concentration in the replacement fluid corresponding to the replacement fluid formula based on the basic electrolyte formula and the anticoagulant dosage formula.

[0085] The ion concentration is calculated using the following formula:

[0086] Blood glucose (GLU) - = 1.91 * (basal solution) / 180 / 4 + (50% glucose solution GS) * 500 / 180 / 4;

[0087] Chloride ions (CL) - = ((base solution)*0.418 / 100+(10% potassium chloride KCl)*35.5 / 745+(5% calcium chloride CaCl2)*71 / 2220) / ((base solution)+(water for injection)+(10% potassium chloride KCl)+(5% calcium chloride CaCl2)+(25% magnesium sulfate MgSO4)+(5% sodium bicarbonate NaHCO3)) / 35.5*1000000;

[0088] Bicarbonate ions (HCO3-) = (base solution) + (water for injection) + (10% potassium chloride (KCl)) + (5% calcium chloride (CaCl2)) + (25% magnesium sulfate (MgSO4)) * (5% sodium bicarbonate (NaHCO3)) * 5 / 100 * 1000 * 1000 / ((base solution))

[0089] +(Water for Injection)+(10% Potassium Chloride KCl)+(5% Calcium Chloride CaCl2)+(25% Magnesium Sulfate MgSO4)*((5% Sodium Bicarbonate NaHCO3 rate)+(Displacement Solution rate))*84);

[0090] Sodium ion Na + = (((base solution)*0.26 / 100 / 23)+((5% sodium bicarbonate NaHCO3 rate)*5 / 100*((base solution)+(water for injection)+(10% potassium chloride KCl)+(5% calcium chloride CaCl2)+(25% magnesium sulfate MgSO4)) / (84*(replacement solution rate))))*1000*1000*(replacement solution rate) / (((base solution)+(water for injection)+(10% potassium chloride KCl)+(5% calcium chloride CaCl2)+(25% magnesium sulfate MgSO4))*((5% sodium bicarbonate NaHCO3 rate)+(replacement solution rate)))+(10% NaCl)*100 / 58.5 / 4;

[0091] Potassium ion K += 10 / 100 * (10% potassium chloride KCl) * 1000 * 1000 * (replacement fluid rate) / (74.5 * ((base solution) + (water for injection) + (10% potassium chloride KCl) + (5% calcium chloride CaCl2) + (25% magnesium sulfate MgSO4)) * ((5% sodium bicarbonate NaHCO3 rate) + (replacement fluid rate)));

[0092] Ca2 + = 5 / 100*(5% CaCl2)*1000*1000*(replacement fluid rate) / (111*((base solution)+(water for injection)+(10% potassium chloride KCl)+(5% calcium chloride CaCl2)+(25% magnesium sulfate MgSO4))*((5% sodium bicarbonate NaHCO3 rate)+(replacement fluid rate)))+1.6*(base solution) / 4000;

[0093] Magnesium ions Mg2+ + =25 / 100*I10*1000*1000*I5 / (112*((base solution)+(water for injection)+(10% potassium chloride KCl)+(5% calcium chloride CaCl2)+(25% magnesium sulfate MgSO4))*((5% sodium bicarbonate NaHCO3 rate)+(displacement solution rate)))+0.797*(base solution) / 4000.

[0094] In addition, the ultrafiltration rate can be calculated by combining factors such as the patient's weight, condition, and treatment goals, using the preset formula: "Ultrafiltration rate = ((replacement fluid velocity) + (pure dehydration)) / (weight)".

[0095] In one feasible embodiment, the intelligent blood purification information management system further includes:

[0096] The formula information extraction and analysis module is used to extract and analyze parameters from several formula information and display the parameter analysis comparison results of several formula information through a table template.

[0097] The intelligent blood purification information management system of this application has a one-click function to copy historical parameter configurations, supports historical formula comparison, and graphically displays the linkage changes of vital signs and fluid intake and output during treatment. The system stores the parameter configurations of each treatment (including basic electrolyte formula, ultrafiltration rate, etc.) in the database for easy retrieval later.

[0098] Furthermore, when medical staff need to use historical parameter configurations, they can simply click the corresponding copy button, and the system will copy the historical parameters to the current treatment plan. By extracting and analyzing the parameters of different historical formulas, the system can compare them and display them in tabular form, making it easy for medical staff to view the differences.

[0099] Please see Figure 2-4 The system also employs data visualization technology, which can display the patient's vital signs during treatment, such as blood pressure, heart rate, body temperature, total output, total intake, and total balance in 24 hours, as well as changes in dialysate, basal fluid, and citrate during blood purification, in the form of trend charts, intuitively showing the interconnected changes between them.

[0100] The blood purification information management system can also synchronously generate continuous blood purification (CBP) treatment records based on the formula data during the blood purification process. Data modifications should not affect the formula. The system has a preset template for CBP treatment records, which includes patient basic information, time, treatment method, anticoagulation method, body temperature, filter type, patient consciousness and breathing mode, respiratory rate, oxygen concentration, vasoactive drugs, adrenocorticotropic hormone, dopamine, norepinephrine, dobutamine, insulin, blood pressure, heart rate, blood flow, oral and peripheral fluid replacement volume, urine output, net ultrafiltration volume, replacement fluid preparation time, basal replacement fluid, water for injection, 10% potassium chloride, 10% sodium chloride, 25% magnesium sulfate, 5% calcium chloride, citric acid, and 5% sodium bicarbonate, among other data. When the formula data changes, the system automatically synchronizes the relevant data to the treatment record, ensuring that the information on the record is consistent with the actual treatment.

[0101] Preferably, to ensure that data modifications do not affect the formula, the system stores formula data and treatment record data separately and manages them accordingly. When it is necessary to modify data in the treatment record, the system will perform the operation without affecting the formula data.

[0102] In some embodiments, the blood purification information management system also includes: machine pressure information in the CBP (Continuous Blood Purification) treatment record; pressure indicators such as arterial pressure, venous pressure, transmembrane pressure, and pre-filtration pressure reflect the flow of blood in the extracorporeal circulation tubing. For example, low arterial pressure indicates obstructed arterial tubing or insufficient blood flow; if not addressed promptly, this can lead to treatment disruptions or even complications such as hypotension. Conversely, high venous pressure indicates obstructed venous return, posing a risk of tubing rupture and blood leakage. By monitoring these pressures in real time, healthcare professionals can promptly identify potential safety hazards and take appropriate measures to ensure the safety of the treatment process.

[0103] Transmembrane pressure reflects the driving force of fluid exchange during blood filtration. Appropriate transmembrane pressure helps ensure effective ultrafiltration and solute removal. Pre-filtration pressure is related to the patency of the filter; if the pre-filtration pressure remains elevated, the filter is prone to clogging, which will affect the efficiency and effectiveness of treatment. Healthcare professionals adjust treatment parameters based on these pressure changes to achieve optimal therapeutic results.

[0104] Stable machine pressure is a crucial indicator of normal equipment operation. Abnormal pressure fluctuations may indicate a malfunction in the machine itself, such as a blood pump failure or a malfunctioning pressure sensor. Timely detection of pressure anomalies helps medical staff diagnose equipment problems, enabling timely repairs or replacement of components and ensuring the continuity of treatment.

[0105] Record the pressure data of the blood purification equipment during operation, such as time, arterial pressure, venous pressure, transmembrane pressure, and pre-filtration pressure. Medical staff closely monitor these pressure data over time and adjust treatment parameters promptly based on the data to ensure the smooth progress of blood purification treatment.

[0106] Furthermore, the system can perform pre-dialysis assessments to reduce the patient's risk of infection and optimize treatment plans; it can also detect catheter-related complications in a timely manner by checking for infection, bleeding, effusion, redness, or swelling in the double-lumen catheter. If signs of infection appear in the double-lumen catheter, anti-infection measures should be taken promptly or the catheter should be replaced to prevent the spread of infection and reduce the risk of serious complications such as sepsis.

[0107] The blood purification information management system described in this application can also be used to understand the method of sodium bicarbonate rehydration, the use of 5% calcium chloride and citric acid, etc., and adjust the treatment plan according to the patient's specific condition and biochemical indicators. For example, the amount of sodium bicarbonate supplementation can be adjusted according to the patient's acid-base balance, such as by monitoring arterial blood gas analysis, focusing on indicators such as blood pH, partial pressure of carbon dioxide (PCO2), and bicarbonate ions (HCO3-). If the patient has metabolic acidosis, with a pH value lower than the normal range (7.35-7.45) and a decreased HCO3- concentration, sodium bicarbonate supplementation is necessary. The doctor will further adjust the treatment plan based on the patient's clinical observation and follow-up blood gas results.

[0108] The blood purification information management system can also be used to display the patient's coagulation function and adjust the dosage of citrate. Doctors will comprehensively consider laboratory test results, prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (APTT), platelet count, fibrinogen level, and clinical observation to determine the patient's coagulation function and then rationally adjust the dosage of citrate to ensure the safety and effectiveness of treatment.

[0109] By accessing patient records, net ultrafiltration data, and total ultrafiltration volume, healthcare professionals can gain a comprehensive understanding of changes in the patient's condition and treatment response. This helps in assessing treatment effectiveness, determining whether adjustments to treatment parameters or other treatment measures are necessary, and developing personalized treatment plans for each patient.

[0110] The device embodiments described above are merely illustrative. The components described as separate parts may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this application according to actual needs. Those skilled in the art can understand and implement this without any inventive effort.

[0111] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0112] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 The computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function selected in one or more boxes.

[0113] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function selected in one or more boxes.

[0114] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0115] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0116] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0117] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0118] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. An intelligent blood purification information management system, characterized in that, include: The blood purification data acquisition module is used to acquire blood purification data of each of the blood purification machines based on the communication connection relationship with the machines. The vital signs and blood gas data acquisition module is used to acquire vital signs monitoring data and blood gas analysis data from each of the monitoring devices based on the communication connection relationship with several monitoring devices; The test data acquisition module is used to acquire patient test data based on the communication connection with the hospital's electronic system; The data storage module is used to store the blood purification data, the vital signs monitoring data, the blood gas analysis data, and the patient test data into the system database; The analysis and early warning module is used to monitor and analyze the acquired blood purification data, vital sign monitoring data, blood gas analysis data and patient test data in real time using big data algorithms, so as to predict complications during the blood purification process and issue early warnings based on the predicted complications.

2. The intelligent blood purification information management system according to claim 1, characterized in that, The step of acquiring vital sign monitoring data and blood gas analysis data from each of the monitoring devices based on communication connections with several monitoring devices includes: Based on the communication connection with several blood purification machines, the blood flow rate, replacement fluid rate, dialysate rate, blood purification mode, dialysate formula, replacement fluid formula, and acid-base balance index uploaded by each of the blood purification machines are obtained.

3. The intelligent blood purification information management system according to claim 1, characterized in that, The monitoring equipment includes a patient monitor and a blood gas analyzer; The step of obtaining vital sign monitoring data from each of the monitoring devices based on communication connections with several monitoring devices includes: Based on the communication connection with several monitors, the vital signs, body temperature, blood pressure and heart rate uploaded by each of the monitoring devices are obtained; Based on communication connections with several blood gas analyzers, the following blood gas analysis parameters are obtained: pH value, partial pressure of carbon dioxide (PCO2), base excess (BE), and serum sodium (Na). + Serum potassium K + Blood calcium (Ca) 2+ And blood lactate (Lac).

4. The intelligent blood purification information management system according to claim 1, characterized in that, The hospital's electronic system includes a LIS system; The step of acquiring patient test data based on the communication connection with the hospital's electronic system includes: Based on the communication connection with the LIS system, the patient's clinical laboratory index data, liver function index data, and coagulation function index data are obtained.

5. The intelligent blood purification information management system according to claim 1, characterized in that, The clinical laboratory indicators include white blood cell count, platelet count, procalcitonin PCT, C-reactive protein CRP, and blood lactate LAC. The liver function indicators included albumin, total bilirubin (TBIL), and direct bilirubin (DBIL). The coagulation function indicators include the International Normalized Ratio (INR), Prothrombin Activity (PT-A), Prothrombin Time (PT), Activated Partial Thromboplastin Time (APTT), Fibrinogen (FIB), and Thrombin Time (TT).

6. The intelligent blood purification information management system according to claim 1, characterized in that, The intelligent blood purification information management system also includes: The vital signs monitoring data, the blood gas analysis data, and the patient's test data are compared with preset data indicator reference ranges to obtain normal indicator data and abnormal indicator data. The normal indicator data is displayed according to the first display parameter, and the abnormal indicator data is displayed according to the second display parameter.

7. The intelligent blood purification information management system according to claim 6, characterized in that, The reference ranges for the data indicators include: reference ranges for vital signs, blood gas analysis, clinical laboratory tests, liver function, and coagulation. The reference ranges for vital signs include: body temperature: 36-37℃, blood pressure: systolic pressure 90-139 mmHg, diastolic pressure: 60-89 mmHg, and heart rate: 60-100 beats / minute. The reference ranges for the blood gas analysis indicators include: pH: 7.35-7.45, PCO2: 35-45 mmHg, BE: -3 to +3 mmol / L, Na... + 135-145 mmol / L, K + 3.5-5.5 mmol / L, Ca 2 Total calcium 2.25-2.58 mmol / L; Ionic calcium 1.10-1.34 mmol / L; The reference range for the clinical laboratory indicators includes: White blood cell count: Adults (4.0-10.0) × 10⁻¹⁰ 9 / L, platelets: (100-300)×10 9 / L, PCT < 0.05 ng / ml, CRP < 10 mg / L, LAC: 0.5-1.7 mmol / L; The reference ranges for liver function indicators include: albumin: 35-55 g / L, TBIL: 3.4-17.1 μmol / L, DBIL: 0-6.8 μmol / L; The reference ranges for coagulation indicators include: INR: 0.8-1.2, PT-A: 70%-130%, PT: 11-13 seconds, APTT: 25-37 seconds, FIB: 2-4 g / L, TT: 16-18 seconds.

8. The intelligent blood purification information management system according to claim 2, characterized in that, The intelligent blood purification information management system also includes: The formula information editing module is used to respond to the interactive operations of medical staff, adding, deleting, modifying or calling formula information in the department's exclusive formula dictionary; the formula information includes basic electrolyte formulas and anticoagulant dosage formulas.

9. The intelligent blood purification information management system according to claim 8, characterized in that, The intelligent blood purification information management system also includes: The ion concentration acquisition module is used to acquire the ion concentration in the replacement fluid corresponding to the replacement fluid formula based on the basic electrolyte formula and the anticoagulant dosage formula.

10. The intelligent blood purification information management system according to claim 8, characterized in that, The intelligent blood purification information management system also includes: The formula information extraction and analysis module is used to extract and analyze parameters from several formula information and display the parameter analysis comparison results of several formula information through a table template.

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