Intelligent dialysis prescription information generation method and system

Abstract

The present invention provides an intelligent dialysis prescription information generation method and system, which obtains the patient's physiological function data; obtains the patient's appointment data on the day of consultation; obtains dialysis prescription and dialysis doctor's order information based on the patient's dialysis plan knowledge graph, combines the obtained physiological function data and appointment data, and matches the dialysis prescription information required for the day according to the cycle and date rules; the present invention combines the knowledge graph and the intelligent scheduling strategy with the automatically collected or data to achieve the rapid and accurate generation of dialysis prescription information and improve the efficiency of consultation registration.

Description

Technical Field

[0001] The present invention relates to the technical field of medical data processing, and in particular to an intelligent dialysis prescription information generation method and system. Background Art

[0002] The statements in this section merely provide background art related to the present invention and do not necessarily constitute prior art.

[0003] With the application of information technology in the medical field, it is designed to use information technology to assist dialysis center doctors to efficiently and safely conduct dialysis consultations, register dialysis prescriptions.

[0004] The inventors found that patients in hemodialysis centers need to do a lot of preparation work before dialysis, such as making appointments and schedules for dialysis patients, making dialysis plan templates, measuring weight before dialysis, recording blood pressure measurements before dialysis, and evaluating the patient's dialysis status. The workload is large and complicated, and the efficiency is low. Summary of the invention

[0005] In order to address the deficiencies of the prior art, the present invention provides an intelligent dialysis prescription information generation method and system, which combines knowledge graphs and intelligent scheduling strategies with automatically collected patient data to achieve rapid and accurate generation of dialysis prescription information and improve the efficiency of patient registration.

[0006] In order to achieve the above object, the present invention adopts the following technical solution:

[0007] A first aspect of the present invention provides an intelligent method for generating dialysis prescription information.

[0008] An intelligent dialysis prescription information generation method includes the following steps:

[0009] Obtaining the patient's physiological function data;

[0010] Get the patient's appointment data for the day of the consultation;

[0011] According to the patient's dialysis plan knowledge graph, the dialysis prescription and dialysis doctor's order information are obtained, and the obtained physiological function data and appointment data are combined to match the dialysis prescription information required for the day according to the cycle and date rules.

[0012] Furthermore, the physiological function data includes weight data and blood pressure data.

[0013] Furthermore, the patient's appointment data for the day of consultation is obtained, including:

[0014] Use intelligent scheduling algorithms to automatically schedule patients and allocate beds;

[0015] The appointment data for the day is filtered by the patient's unique ID and date, and the patient's dialysis mode, dialyzer and bed information for the day are queried and automatically assigned.

[0016] Furthermore, before intelligent scheduling, the patient scheduling knowledge graph is constructed, including:

[0017] Build a knowledge graph library for patient scheduling. Build a patient scheduling knowledge graph for each patient. The information of the patient scheduling knowledge graph includes:

[0018] Information related to the patient's dialysis treatment, including the patient's dialysis mode and dialyzer;

[0019] Basic patient information, including patient identification, patient name, and positive identification;

[0020] The patient's dialysis regularity information includes the patient's dialysis cycle, dialysis time period, and dialysis bed.

[0021] Going a step further, intelligent scheduling includes:

[0022] Filter out the patient list for which the patient scheduling knowledge graph has been constructed, exclude patients who are not currently on dialysis, and obtain the first data set;

[0023] Obtain the scheduling knowledge graph data of all patients in the first list, assign the basic information of the patients to the scheduling knowledge graph data, and define it as the second data set;

[0024] Obtaining an existing scheduling data set from the scheduling date to the scheduling deadline, which is defined as a third data set;

[0025] Traverse the second data set of the patient scheduling knowledge graph, obtain the dialysis regularity information in the patient scheduling knowledge graph, determine whether the current date is an odd or even week, match the cycle number, and after the cycle number is successfully matched, schedule the patient in combination with the existing third data set;

[0026] If the bed information in the patient scheduling knowledge graph is empty, the bed information will be automatically allocated. According to the dialysis treatment-related information in the patient scheduling knowledge graph and the patient's basic information in the knowledge graph, an empty bed that meets the patient scheduling conditions is randomly obtained, and the empty bed is allocated to the patient to complete the scheduling.

[0027] Furthermore, a patient prescription information database and a patient commonly used drug information database are constructed, and commonly used drugs are constructed into the prescription information database;

[0028] Formulate intelligent medical advice recommendation rules based on the patient's test results and the situation during dialysis;

[0029] Construct a knowledge graph of patient dialysis plans;

[0030] When maintaining the patient's knowledge graph information, according to the intelligent recommendation rules of the doctor's order, the doctor's order information database gives priority to the drugs recommended for the patient, and builds the dialysis plan knowledge graph for each patient;

[0031] After the knowledge graph of the patient's dialysis plan is constructed, the knowledge graph data is directly extracted during the patient's dialysis, and the conventional prescription graph data is directly assigned. The patient's weight gain and planned dehydration data for this dialysis are automatically calculated by subtracting the dry weight from the obtained patient's weight.

[0032] Dialysis orders are filtered based on attributes. Order data with fixed attributes are not subjected to logical judgment. Order data with periodic attributes are filtered by judging the day of the week to filter out the medicines that the patient needs to use on that day. Order data with date attributes are filtered by judging the date of the day to obtain the order data with the date of the day in the patient's order plan.

[0033] Furthermore, the patient dialysis plan knowledge graph includes:

[0034] Conventional dialysis prescription dialysis regimen, including dry weight, blood flow, and vascular access information;

[0035] The dialysis regimen prescribed by the physician includes the dialysis prescription information of the patient.

[0036] A second aspect of the present invention provides an intelligent dialysis prescription information generation system.

[0037] An intelligent dialysis prescription information generation system, comprising:

[0038] The physiological function data acquisition module is configured to: acquire the patient's physiological function data;

[0039] The appointment data acquisition module is configured to: acquire the appointment data of the patient on the day of consultation;

[0040] The dialysis prescription information generation module is configured to: obtain dialysis prescription and dialysis doctor's order information according to the patient's dialysis plan knowledge graph, combine the obtained physiological function data and appointment data, and match the dialysis prescription information required for the day according to the cycle and date rules.

[0041] The third aspect of the present invention provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps in the intelligent dialysis prescription information generation method as described in the first aspect of the present invention.

[0042] The fourth aspect of the present invention provides an electronic device, comprising a memory, a processor, and a program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the intelligent dialysis prescription information generation method as described in the first aspect of the present invention are implemented.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. The intelligent dialysis prescription information generation method and system described in the present invention, combined with knowledge graph and intelligent scheduling strategy, combined with automatically collected data, realizes the rapid and accurate generation of dialysis prescription information and improves the efficiency of consultation registration.

[0045] 2. The intelligent dialysis prescription information generation method and system described in the present invention avoids the need for medical staff to measure and check, and avoids the need for doctors to manually calculate the amount of dehydration, thereby ensuring the accuracy of the amount of dehydration, saving manpower, and improving the efficiency of consultation.

[0046] 3. The intelligent dialysis prescription information generation method and system described in the present invention avoids the problem of patients misreading, misremembering, and reporting numbers arbitrarily when checking weight and blood pressure data, thereby avoiding the occurrence of medical accidents.

[0047] 4. The intelligent dialysis prescription information generation method and system described in the present invention can realize rapid consultation, reduce the waiting time of patients, and greatly shorten the consultation time of doctors.

[0048] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0050] Figure 1 This is a schematic diagram of the dialysis consultation process provided in Example 1 of the present invention.

[0051] Figure 2 This is the patient scheduling knowledge graph provided in Example 1 of the present invention.

[0052] Figure 3 This is the patient dialysis plan knowledge graph provided in Example 1 of the present invention. DETAILED DESCRIPTION

[0053] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0054] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0055] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0056] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0057] Embodiment 1:

[0058] like Figure 1 As shown, Embodiment 1 of the present invention provides an intelligent dialysis prescription information generation method, comprising the following process:

[0059] S1: Obtain the measurement results of patient p from the weight scale and blood pressure measuring instruments;

[0060] S2: Perform intelligent scheduling for patient p and obtain the appointment information of patient p on the day of consultation;

[0061] S3: Build a knowledge graph of the patient's dialysis plan, obtain the dialysis prescription and dialysis doctor's order information in the patient's dialysis plan knowledge graph, and match the dialysis prescription information required for the day according to the cycle and date rules.

[0062] Specifically, S1 includes:

[0063] S101: Before S101, the database and related data tables are built in advance to query patient information and save patient measurement information. The electronic weight scale and blood pressure machine equipment are connected to the computer through the RS-232 interface and the nine-pin cross serial port cable. The computer is configured with a front-end page and a tray program. The front-end page is used to display patient information, and the tray program is used to parse weight data;

[0064] S102: After patient p swipes the card, the patient information in the database is read through the patient p's medical card information and displayed to the patient p. After the patient information is successfully read, a message for collecting information is sent to the tray program through the WebSocket technology;

[0065] S103: After receiving the message, the tray program reads the configuration file information in the computer hard disk, the configuration file information includes the pre-configured COM port, baud rate, check bit, data bit, stop bit, and opens the computer serial port through the configuration file information to read the data transmitted by the COM port, and decrypts and identifies the obtained encrypted data through the protocol provided by the electronic scale manufacturer or a known protocol;

[0066] S104: After successfully identifying the weight data of patient p, the tray program sends a message to the front-end page through WebSocket, and the front-end page displays the weight information of patient p on the page and saves the weight information and basic information of the patient into the database;

[0067] S105: After the measurement is successful, the weight data and blood pressure data of the patient p will be automatically displayed on the information registration page of the hemodialysis system.

[0068] Specifically, S2 includes:

[0069] S201: Use intelligent scheduling to automatically schedule patients and automatically allocate beds, and make appointments for patients’ dialysis information in advance;

[0070] S202: Filter the appointment data of the day by the unique patient ID and date of the patient p, query the dialysis mode, dialyzer, and bed information of the patient p on the day, and automatically assign values;

[0071] The description of "Smart Scheduling" in S202 is as follows:

[0072] Intelligent scheduling is based on the construction of patient knowledge graph to achieve automatic scheduling of the system. It is a solution that allows departments to quickly schedule patients. The specific implementation steps are as follows:

[0073] (1) Before intelligent scheduling, we first build a patient scheduling knowledge graph

[0074] (i) Build a knowledge graph library for patient scheduling. The graph library contains a variety of common dialysis rules. When building a knowledge graph for patient scheduling, you can directly reference the information provided in the graph library to quickly build a knowledge graph for patient scheduling. The knowledge graph is as follows: Figure 2 As shown;

[0075] (ii) For each patient p, a knowledge graph of patient scheduling is constructed. The information in the knowledge graph includes three categories: one is the information related to the patient's dialysis treatment, including the patient's dialysis mode and dialyzer; one is the patient's basic information, including the patient's ID, patient name, positive ID, etc.; and one is the patient's dialysis regularity information, including the patient's dialysis cycle, dialysis time period, and dialysis bed;

[0076] (iii) After constructing the knowledge graph for patient scheduling, set the date for the system to perform intelligent scheduling, which is generally set to the middle of each month. Set a scheduled task, and the system will automatically perform intelligent scheduling after the set date.

[0077] (2) Intelligent scheduling of patients for whom knowledge graphs have been constructed

[0078] (i) First, filter out the patient list for which the knowledge graph has been constructed, excluding patients who are not currently on dialysis, which is defined as list-p.

[0079] (ii) Obtain the schedule knowledge graph data of all patients in list-p and assign the basic information of the patients to the knowledge graph data, which is defined as list-pt.

[0080] (iii) Obtain the existing scheduling data set from the scheduling date to the scheduling deadline, which is defined as list-pre.

[0081] (iiii) Traverse the patient scheduling knowledge graph dataset list-pt, obtain the dialysis regularity information in the patient p scheduling knowledge graph, determine whether the current date is an odd or even week, match the cycle number, and schedule patient p in combination with the existing appointment data list-pre after the cycle number is successfully matched. If the bed information in the patient p scheduling knowledge graph is empty, the bed information needs to be automatically allocated. According to the dialysis treatment-related information in the patient scheduling knowledge graph and the basic information of the patient in the knowledge graph, randomly obtain the empty bed N that meets the patient p scheduling conditions, allocate the empty bed N to the patient p, and complete the scheduling.

[0082] Specifically, S3 includes:

[0083] S301: Constructing a patient prescription information database D. The dialysis medications of hemodialysis patients are generally fixed. Constructing a patient commonly used drug information database, and building commonly used drugs such as L-carnitine, recombinant human erythropoietin, and iron sucrose into the prescription information database D;

[0084] S302: Construct intelligent recommendation rules for medical advice, and formulate recommendation rules based on the patient's test results and the situation during dialysis. For example, if the patient's HGB (hemoglobin) content is low in recent times, the use of recombinant human erythropoietin can be recommended. If the patient's dialyzer coagulation level is high in recent times, the doctor can be recommended to increase the dosage of anticoagulants. If the test result shows that ferritin is higher or lower than the standard value, the doctor is recommended to pay attention to the use of sucrose iron drugs, etc.

[0085] S303: Construct a knowledge graph of the patient p's dialysis plan, such as Figure 3 As shown in FIG, the patient's dialysis plan knowledge graph is mainly divided into two categories. One is the conventional dialysis prescription dialysis plan, including information such as dry weight, blood flow, and vascular access; the other is the doctor's order dialysis plan, including the patient's dialysis doctor's order information.

[0086] When maintaining the knowledge graph information of patient p, according to the S302 medical order intelligent recommendation rule, the medical order information database D will give priority to recommending drugs for patient p, thereby realizing the rapid construction of the dialysis plan knowledge graph for each patient.

[0087] S304: After the knowledge graph of the dialysis plan of patient p is constructed, the knowledge graph data can be directly extracted when the patient is undergoing dialysis. Conventional prescription graph data is directly assigned values, and the weight gain and planned dehydration data of patient p for this dialysis are automatically calculated by subtracting the dry weight from the weight measured in step 1. Dialysis orders are filtered according to attributes. No logical judgment is made for order data with fixed attributes. Order data with periodic attributes are filtered by judging the day of the week to filter out the medicines that patient p needs to use on that day. Order data with date attributes are filtered by judging the date of the day, and the order data with the date of the day in the order plan of patient p is taken.

[0088] After S1, S2 and S3, the main contents of dialysis registration include blood pressure (systolic pressure, diastolic pressure), pulse, respiration, pre-dialysis weight, dry weight, weight gain, planned dehydration, additional dehydration, dry weight, dialysis medication, dialysis duration, anticoagulant type and dosage, blood flow, dialysis machine bed number, dialyzer, dialysis method, vascular access, condition assessment, dialysis notes, dialysis medication, etc., which have been automatically assigned to the registration page. If there are no special circumstances, the doctor does not need to modify the data and can complete the dialysis registration with one click.

[0089] Embodiment 2:

[0090] Embodiment 2 of the present invention provides an intelligent dialysis prescription information generation system, including:

[0091] The physiological function data acquisition module is configured to: acquire the patient's physiological function data;

[0092] The appointment data acquisition module is configured to: acquire the appointment data of the patient on the day of consultation;

[0093] The dialysis prescription information generation module is configured to: obtain dialysis prescription and dialysis doctor's order information according to the patient's dialysis plan knowledge graph, combine the obtained physiological function data and appointment data, and match the dialysis prescription information required for the day according to the cycle and date rules.

[0094] The working method of the system is the same as the intelligent dialysis prescription information generation method provided in Example 1, and will not be repeated here.

[0095] Embodiment 3:

[0096] Embodiment 3 of the present invention provides a computer-readable storage medium on which a program is stored. When the program is executed by a processor, the steps in the intelligent dialysis prescription information generation method as described in Embodiment 1 of the present invention are implemented.

[0097] Embodiment 4:

[0098] Embodiment 4 of the present invention provides an electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the intelligent dialysis prescription information generation method as described in Embodiment 1 of the present invention are implemented.

[0099] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0100] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0101] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0102] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0103] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0104] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent method for generating dialysis prescription information, Features: The process includes: Obtaining the patient's physiological function data; Obtain the patient's appointment data for the day of the consultation, including: automatic scheduling of patients and automatic allocation of beds using intelligent scheduling algorithms; filter the appointment data for the day by the patient's unique ID and date, query the patient's dialysis mode, dialyzer and bed information for the day, and automatically assign values; Before intelligent scheduling, the patient scheduling knowledge graph is constructed, including: constructing a patient scheduling knowledge graph library, constructing a patient scheduling knowledge graph for each patient, and the information of the patient scheduling knowledge graph includes: patient dialysis treatment related information, including the patient's dialysis mode and dialyzer; patient basic information, including patient identification, patient name and positive identification; patient dialysis regularity information, including the patient's dialysis cycle, dialysis time period and dialysis bed; Intelligent scheduling includes: screening out a patient list for which a patient scheduling knowledge graph has been constructed, excluding patients who are not currently undergoing dialysis, and obtaining a first data set; obtaining scheduling knowledge graph data for all patients in the first list, assigning basic patient information to the scheduling knowledge graph data, and defining it as a second data set; obtaining an existing scheduling data set from the scheduling date to the scheduling deadline, and defining it as a third data set; traversing the second data set of the patient scheduling knowledge graph, obtaining dialysis regularity information in the patient scheduling knowledge graph, determining whether the current date is an odd or even week, and matching the number of cycles, and after the number of cycles is successfully matched, scheduling the patient in combination with the existing third data set; if the bed information in the patient scheduling knowledge graph is empty, automatically assigning the bed information, and randomly acquiring an empty bed that meets the patient scheduling conditions based on the dialysis treatment-related information in the patient scheduling knowledge graph and the patient's basic information in the knowledge graph, assigning the empty bed to the patient, and completing scheduling; According to the patient's dialysis plan knowledge graph, the dialysis prescription and dialysis doctor's order information are obtained, and the obtained physiological function data and appointment data are combined to match the dialysis prescription information required for the day according to the cycle and date rules.

2. The intelligent dialysis prescription information generating method according to claim 1, Features: The physiological function data includes weight data and blood pressure data.

3. The intelligent dialysis prescription information generating method according to claim 1, Features: Build a patient prescription information database and a patient commonly used drug information database, and build commonly used drugs into the prescription information database; Formulate intelligent medical advice recommendation rules based on the patient's test results and the situation during dialysis; Construct a knowledge graph of patient dialysis plans; When maintaining the patient's knowledge graph information, according to the intelligent recommendation rules of the doctor's order, the doctor's order information database gives priority to the drugs recommended for the patient, and builds the dialysis plan knowledge graph for each patient; After the knowledge graph of the patient's dialysis plan is constructed, the knowledge graph data is directly extracted during the patient's dialysis, and the conventional prescription graph data is directly assigned. The patient's weight gain and planned dehydration data for this dialysis are automatically calculated by subtracting the dry weight from the obtained patient's weight. Dialysis orders are filtered based on attributes. Order data with fixed attributes are not subjected to logical judgment. Order data with periodic attributes are filtered by judging the day of the week to filter out the medicines that the patient needs to use on that day. Order data with date attributes are filtered by judging the date of the day to obtain the order data with the date of the day in the patient's order plan.

4. The intelligent dialysis prescription information generating method according to claim 3, Features: Patient dialysis plan knowledge graph, including: Conventional dialysis prescription dialysis regimen, including dry weight, blood flow, and vascular access information; The dialysis regimen prescribed by the physician includes the dialysis prescription information of the patient.

5. An intelligent dialysis prescription information generation system, Features: include: The physiological function data acquisition module is configured to: acquire the patient's physiological function data; The reservation data acquisition module is configured to: obtain the patient's reservation data on the day of the consultation, including: using the intelligent scheduling algorithm to automatically schedule the patient and automatically allocate the bed; filtering the reservation data of the day by the patient's unique identification and date, querying the patient's dialysis mode, dialyzer and bed information on the day, and automatically assigning values; Before intelligent scheduling, the patient scheduling knowledge graph is constructed, including: constructing a patient scheduling knowledge graph library, constructing a patient scheduling knowledge graph for each patient, and the information of the patient scheduling knowledge graph includes: patient dialysis treatment related information, including the patient's dialysis mode and dialyzer; patient basic information, including patient identification, patient name and positive identification; patient dialysis regularity information, including the patient's dialysis cycle, dialysis time period and dialysis bed; Intelligent scheduling includes: screening out a patient list for which a patient scheduling knowledge graph has been constructed, excluding patients who are not currently undergoing dialysis, and obtaining a first data set; obtaining scheduling knowledge graph data for all patients in the first list, assigning basic patient information to the scheduling knowledge graph data, and defining it as a second data set; obtaining an existing scheduling data set from the scheduling date to the scheduling deadline, and defining it as a third data set; traversing the second data set of the patient scheduling knowledge graph, obtaining dialysis regularity information in the patient scheduling knowledge graph, determining whether the current date is an odd or even week, and matching the number of cycles, and after the number of cycles is successfully matched, scheduling the patient in combination with the existing third data set; if the bed information in the patient scheduling knowledge graph is empty, automatically assigning the bed information, and randomly acquiring an empty bed that meets the patient scheduling conditions based on the dialysis treatment-related information in the patient scheduling knowledge graph and the patient's basic information in the knowledge graph, assigning the empty bed to the patient, and completing scheduling; The dialysis prescription information generation module is configured to: obtain dialysis prescription and dialysis doctor's order information according to the patient's dialysis plan knowledge graph, combine the obtained physiological function data and appointment data, and match the dialysis prescription information required for the day according to the cycle and date rules.

6. A computer-readable storage medium having a program stored thereon, It is characterized in that When the program is executed by a processor, the steps in the intelligent dialysis prescription information generation method as described in any one of claims 1 to 4 are implemented.

7. An electronic device comprising a memory, a processor, and a program stored in the memory and executable on the processor, It is characterized in that When the processor executes the program, the steps in the intelligent dialysis prescription information generation method according to any one of claims 1 to 4 are implemented.

Images