A nursing management system and method for hemodialysis patients

Abstract

This application relates to the technical field of healthcare information processing, and provides a nursing management system and method for hemodialysis patients. The basic information of the patient is obtained through a home dialysis machine, a personalized dialysis plan is generated and displayed on the interface of the dialysis machine; during dialysis, the physiological parameters of the patient's various vital signs are collected through a sensing device; a self-organizing network is constructed among the sensing devices, and in the self-organizing network, the physiological parameters are encrypted with a specific public key and a basic public key to generate encrypted data; the encrypted data is transmitted to a monitoring platform to deeply analyze the physiological state of the patient, generate a nursing management report, and display it on the interface of the home dialysis machine. It realizes the comprehensive monitoring of the patient's physiological state, the formulation and implementation of personalized treatment plans, and efficient data processing and analysis, thus significantly improving the safety and effectiveness during the dialysis treatment process and protecting the security and privacy of patient information.

Description

Technical Field

[0001] This application relates to the technical field of healthcare information processing, and more particularly, to a nursing management system and method for hemodialysis patients. Background Art

[0002] With the increasing aging of the global population, the incidence of chronic kidney disease is also rising year by year, and the number of patients in need of dialysis treatment is constantly increasing. With the continuous innovation of dialysis technology and the portability of equipment, home dialysis has become a new treatment option. This treatment method not only improves the flexibility and convenience of treatment, but also effectively alleviates the diagnosis and treatment pressure of hospital dialysis centers. Home dialysis is mainly applicable to chronic kidney disease patients who need long-term dialysis treatment. These patients can, in a home environment, conduct regular treatments by guiding through professional medical staff or operating dialysis equipment by themselves.

[0003] Although home dialysis can improve the convenience of treatment, in the case of being far from professional equipment and hospitals, professionals cannot timely and effectively obtain the data of patients during dialysis for physiological monitoring. At the same time, physiological data belongs to sensitive information, involving the privacy and safety of patients. The privacy and security of patient information and physiological data cannot be guaranteed during the data transmission process. Summary of the Invention

[0004] This application provides a nursing management system and method for hemodialysis patients, which can, to at least a certain extent, solve the problem that the privacy and security of patient information and physiological data cannot be guaranteed during the data transmission process.

[0005] Other features and advantages of this application will become apparent through the following detailed description, or be learned in part through the practice of this application.

[0006] According to one aspect of this application, a nursing management method for hemodialysis patients is provided, including: obtaining the basic information of a patient through a home dialysis machine, generating a personalized dialysis plan based on the basic information, and displaying it on the interface of the home dialysis machine; during the dialysis process according to the dialysis plan, collecting the physiological parameters of various vital signs of the patient through a sensing device; building an ad hoc network between the sensing devices, encrypting the physiological parameters with a specific public key and a basic public key in the ad hoc network to generate encrypted data; transmitting the encrypted data to a monitoring platform connected to the home dialysis machine, so as to deeply analyze the physiological state of the patient based on the encrypted data through the monitoring platform to generate a nursing management report; obtaining the nursing management report transmitted back by the monitoring platform and displaying it on the interface of the home dialysis machine.

[0007] In this application, based on the foregoing solution, generating a personalized dialysis plan according to the basic information includes: generating an information matrix corresponding to the basic information based on the patient's basic information; matching in the original dialysis plan according to the information matrix to determine an alternative plan; and correcting the alternative plan based on the basic information to generate a personalized dialysis plan.

[0008] In this application, based on the foregoing solution, building an ad hoc network among the sensing devices includes: obtaining device information of each sensing device, where the device information includes data type, data volume, and importance weight; and building an ad hoc network among the sensing devices according to the device information of the sensing devices.

[0009] In this application, based on the foregoing solution, encrypting the physiological parameters in the ad hoc network by using a specific public key and a basic public key to generate encrypted data includes: for the physiological parameters collected by each sensing device, respectively performing preliminary encryption based on the specific public key to generate a first ciphertext; encrypting the first ciphertext based on a physiological key to generate a second ciphertext; merging all the second ciphertexts based on the ad hoc network to generate a third ciphertext; and performing an encryption operation on the third ciphertext based on the basic public key to generate the encrypted data.

[0010] In this application, based on the foregoing solution, the monitoring platform deeply analyzes the physiological state of the patient based on the encrypted data to generate a nursing management report, including: the monitoring platform decrypts the encrypted data based on a basic private key and a specific private key to obtain physiological parameters; and deeply analyzes the physiological state of the patient based on the physiological parameters to generate a nursing management report.

[0011] In this application, based on the foregoing solution, the monitoring platform decrypts the encrypted data based on a basic private key and a specific private key to obtain physiological parameters, including: the monitoring platform decrypts the encrypted data based on the basic private key to obtain the merged third ciphertext; separating the third ciphertext to generate a second ciphertext; decrypting the second ciphertext based on the physiological key to generate a first ciphertext; and decrypting the first ciphertext based on the specific private key to generate the physiological parameters.

[0012] In this application, based on the foregoing solution, after collecting the physiological parameters of the patient's various vital signs by using a sensing device during the dialysis process according to the dialysis plan, it further includes: detecting whether there is homogeneous data in the physiological parameters; and if there is homogeneous data, compressing the homogeneous data.

[0013] According to one aspect of this application, a nursing management system for hemodialysis patients is provided, including:

[0014] A solution unit for obtaining basic information of a patient through a home hemodialysis device, generating a personalized dialysis solution according to the basic information, and displaying it on the interface of the home hemodialysis device;

[0015] A monitoring unit for collecting physiological parameters of various vital signs of a patient through a sensing device during hemodialysis according to the dialysis solution;

[0016] An encryption unit for building an ad-hoc network between the sensing devices and encrypting the physiological parameters through a specific public key and a basic public key in the ad-hoc network to generate encrypted data;

[0017] An analysis unit for transmitting the encrypted data to a monitoring platform connected to the home hemodialysis device, so as to deeply analyze the physiological state of the patient based on the encrypted data through the monitoring platform and generate a nursing management report;

[0018] A display unit for obtaining the nursing management report transmitted back by the monitoring platform and displaying it on the interface of the home hemodialysis device.

[0019] According to one aspect of the present application, there is provided a computer-readable medium having a computer program stored thereon, and when the computer program is executed by a processor, it implements the hemodialysis patient care management method as described in the above embodiments.

[0020] According to one aspect of the present application, there is provided an electronic device, including: one or more processors; a storage device for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the hemodialysis patient care management method as described in the above embodiments.

[0021] According to one aspect of the present application, there is provided a computer program product or a computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the hemodialysis patient care management method provided in the above various optional implementation manners.

[0022] In the technical solution of this application, basic information of a patient is obtained through a home dialysis machine, and according to the basic information, a personalized dialysis plan is generated and displayed on the interface of the home dialysis machine; during the dialysis process according to the dialysis plan, physiological parameters of various vital signs of the patient are collected through a sensing device; a self-organizing network is built among the sensing devices, and in the self-organizing network, the physiological parameters are encrypted by a specific public key and a basic public key to generate encrypted data; the encrypted data is transmitted to a monitoring platform connected to the home dialysis machine, so as to deeply analyze the physiological state of the patient based on the encrypted data through the monitoring platform and generate a nursing management report; the nursing management report returned by the monitoring platform is obtained and displayed on the interface of the home dialysis machine. Through a series of advanced technical means, comprehensive monitoring of the patient's physiological state, formulation and implementation of a personalized treatment plan, and efficient data processing and analysis are realized, thereby significantly improving the safety and effectiveness in the dialysis treatment process, providing more considerate, efficient and personalized nursing services for the patient, and protecting the security and privacy of the patient's information.

[0023] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit this application. Brief Description of the Drawings

[0024] The drawings here are incorporated into the specification and form a part of this specification, showing embodiments consistent with this application, and are used together with the specification to explain the principles of this application. Obviously, the drawings in the following description are only some embodiments of this application, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0025] Figure 1 Schematically shows a flowchart of a method for nursing management of hemodialysis patients in an embodiment of this application.

[0026] Figure 2 Schematically shows a flowchart of generating a personalized dialysis plan according to basic information in an embodiment of this application.

[0027] Figure 3 Schematically shows a schematic diagram of a nursing management system for hemodialysis patients in an embodiment of this application.

[0028] Figure 4 Shows a schematic structural diagram of a computer system of an electronic device suitable for implementing the embodiments of this application. Detailed Description of the Embodiments

[0029] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be more complete and comprehensive, and will fully convey the concept of the example embodiments to those skilled in the art.

[0030] In addition, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of the embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be employed. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of this application.

[0031] The block diagrams shown in the drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0032] The flowcharts shown in the drawings are merely illustrative and not necessarily include all the content and operations / steps, nor are they necessarily executed in the order described. For example, some operations / steps can be decomposed, while some operations / steps can be combined or partially combined, so the actual execution order may change according to the actual situation.

[0033] The implementation details of the technical solutions of this application are elaborated in detail below:

[0034] Figure 1 A flowchart of a method for caring for and managing hemodialysis patients according to an embodiment of this application is shown. Referring to Figure 1 as shown, the method for caring for and managing hemodialysis patients includes at least steps S110 to S150, which are introduced in detail as follows:

[0035] Step S110, obtaining basic information of the patient through a home dialysis machine, generating a personalized dialysis plan based on the basic information, and displaying it on the interface of the home dialysis machine.

[0036] In an embodiment of this application, obtaining the basic information of the patient through a home dialysis machine may specifically include the following information:

[0037] 1. Name, gender, age: used to understand the basic characteristics of the patient.

[0038] 2. Body weight and height: Used to calculate the patient's body mass index and evaluate their nutritional status and dialysis fluid requirements.

[0039] 3. Occupation and lifestyle: Understanding the patient's work environment and daily activities helps evaluate their dialysis needs and possible lifestyle adjustments.

[0040] 4. Medical history and medication history: Inquire in detail about the patient's past medical history, family medical history, and current medication use to formulate an appropriate dialysis plan.

[0041] 5. Laboratory test results: Include blood routine, urine routine, biochemical indicators, etc., and are used to evaluate the patient's renal function, electrolyte balance, and nutritional status.

[0042] As Figure 2 shown, in an embodiment of the present application, according to the basic information, a personalized dialysis plan is generated, including:

[0043] S210. Based on the patient's basic information, generate an information matrix corresponding to the basic information;

[0044] S220. Match according to the information matrix in the original dialysis plan to determine an alternative plan;

[0045] S230. Correct the alternative plan based on the basic information to generate a personalized dialysis plan.

[0046] In this embodiment, the patient's basic information , where are respectively the vector representations of the 1st, 2nd, i th, th samples. Generate the information matrix corresponding to the basic information C as:

[0047] ;

[0048] Among them, i represents the sample identifier, represents the number of samples in the basic information, represents the transpose of the matrix corresponding to the patient's basic information.

[0049] After that, calculate the eigenvalues and eigenvectors of the information matrix, and match according to the eigenvalues and eigenvectors of the information matrix in the original dialysis plan to determine an alternative plan. Specifically, the distance between values can be calculated to judge the similarity between the features and the plan, and then an alternative plan corresponding to the information matrix is selected from the original dialysis plan.

[0050] After that, the alternative plan is corrected based on the basic information. Specifically, it is corrected according to the patient's specific physiological responses and treatment effects, and a feedback loop can be introduced to adjust the dialysis plan by monitoring the patient's post-dialysis physiological indicators (such as electrolyte levels, blood pressure, weight changes, etc.).

[0051] In the above process, based on the patient's basic information, a personalized dialysis plan can be intelligently generated and presented in calendar form through the interface of the home dialysis machine. This not only improves the pertinence of dialysis treatment, but also enhances the patient's participation and the transparency of the treatment plan, helping the patient better understand and comply with the treatment plan.

[0052] Step S120, during the dialysis process according to the dialysis plan, physiological parameters of the patient's various vital signs are collected through a sensing device.

[0053] In this embodiment, the home dialysis machine is built-in with a high-precision sensing device to collect physiological parameters such as the patient's weight, blood pressure, heart rate, body temperature, etc. Using Internet of Things technology, the collected data is transmitted to the cloud server for storage and analysis.

[0054] After collecting the physiological parameters of the patient's various vital signs through the sensing device during the dialysis process according to the dialysis plan, it further includes:

[0055] Detect whether there is homogeneous data among the physiological parameters;

[0056] If there is homogeneous data, compress the homogeneous data.

[0057] In an embodiment of the present application, homogeneous data refers to data that changes very little or hardly at all over a period of time. Among the physiological parameters of dialysis patients, such data may include certain stable electrolyte levels, blood pressure readings, or weight measurements, especially when the patient's condition is relatively stable.

[0058] Optionally, set a change threshold. If the change amounts of several consecutive data points are all within this threshold, then these data are considered homogeneous. Analysis of variance can also be used to test whether the changes in the data points are significant. If not, then these data may be regarded as homogeneous. A fixed-size window can also be slid over the data sequence, calculate the average value, standard deviation or other statistics of the data within the window, and then judge whether the data within the window is homogeneous according to these statistics.

[0059] Once homogeneous data is detected, it can be compressed to reduce the requirements for storage space and computing resources. By reducing data redundancy, these steps can improve the efficiency and accuracy of data processing, while reducing storage and computing costs.

[0060] Optionally, for homogeneous data, its time average can be calculated and then used to replace the original data sequence.

[0061] Optionally, if the data is highly redundant in time (i.e., changes very slowly), the sampling frequency can be reduced, and only the data at key time points is retained.

[0062] Optionally, record the value of the first data point in the data sequence, and then only record the difference between subsequent data points and the previous data point. For homogeneous data, these differences are usually small and can be further compressed.

[0063] Among the collected physiological parameters, homogeneous data (i.e., data with little or no change) can be intelligently detected and compressed. This data compression technology not only reduces the storage requirements of data, but also improves the speed and efficiency of data processing, enabling the system to respond more quickly to changes in the patient's condition.

[0064] Step S130, construct an ad-hoc network among the sensing devices, and encrypt the physiological parameters in the ad-hoc network with a specific public key and a base public key to generate encrypted data.

[0065] In an embodiment of the present application, constructing an ad-hoc network among the sensing devices includes:

[0066] Obtain the device information of each sensing device, where the device information includes data type, data volume, and importance weight;

[0067] Construct an ad-hoc network among the sensing devices according to the device information of the sensing devices.

[0068] In an embodiment of the present application, it is clear which sensing devices are involved in monitoring. These devices may include blood pressure monitors, heart rate monitors, blood glucose meters, etc., depending on the physiological parameters that need to be monitored during dialysis. For each sensing device, its data type (such as heart rate, blood pressure, blood glucose value, etc.), data volume (for example, the number of data points collected per minute), and importance weight (the importance assessment of this data for the dialysis process) need to be collected. These information can be obtained through the data interface provided by the device manufacturer. If the device does not support a direct data interface, it may be necessary to collect data through middleware or manual input.

[0069] Use wireless communication technology (such as Bluetooth) to enable the sensing devices to discover each other. According to the device information and communication capabilities, construct a distributed ad-hoc network. Use existing ad-hoc network protocols to set routing rules in the network to ensure that data can be efficiently transmitted from the sensing devices through the home dialysis machine to the monitoring platform.

[0070] An ad hoc network is constructed based on the device information (data type, data volume, importance weight) of the sensing devices, optimizing the data transmission path and efficiency. This flexible networking method can adapt to data transmission requirements in different scenarios, improving the stability and reliability of data transmission.

[0071] In one embodiment of the present application, the physiological parameters are encrypted in the ad hoc network using a specific public key and a base public key to generate encrypted data, including:

[0072] For the physiological parameters collected by each sensing device, they are respectively preliminarily encrypted based on the specific public key to generate a first ciphertext;

[0073] The first ciphertext is encrypted based on the physiological key to generate a second ciphertext;

[0074] All the second ciphertexts are merged based on the ad hoc network to generate a third ciphertext;

[0075] The third ciphertext is encrypted based on the base public key to generate the encrypted data.

[0076] In one embodiment of the present application, to meet the security requirements for merging physiological parameters, a pair of specific public keys and a pair of base public keys are generated, where and are randomly generated large prime numbers, and are respectively the products of two randomly generated large prime numbers.

[0077] In this embodiment, each sensing device has its corresponding collected physiological parameter. For each physiological parameter , its corresponding specific public key is used for preliminary encryption to obtain a first ciphertext as:

[0078] ;

[0079] where represents the modulo operation.

[0080] After that, based on the physiological key k , the first ciphertext is encrypted to generate a second ciphertext as:

[0081] ;

[0082] After that, all the second ciphertexts are merged through the ad hoc network to generate a third ciphertext . The merging method can be simple concatenation, bitwise operation, or other complex combination methods. In this embodiment, the second ciphertexts corresponding to all sensing devices in the network are merged through an ad-hoc network without the need for processing through other external networks, ensuring data security.

[0083] After that, use the pre-generated basic public key to perform an encryption operation on the third ciphertext to generate encrypted data as:

[0084] ;

[0085] where is a variable related to the physiological key k

[0086] During the dialysis process, the sensing device can collect the patient's vital signs and physiological parameters in real time and perform encrypted transmission through an ad-hoc network. This multi-layer encryption mechanism based on specific public keys, basic public keys, and physiological keys ensures data security, prevents data leakage or tampering, and protects the patient's privacy.

[0087] Step S140: Transmit the encrypted data to a monitoring platform connected to the home dialysis machine, so as to deeply analyze the patient's physiological state based on the encrypted data through the monitoring platform and generate a nursing management report.

[0088] After generating the encrypted data, transmit the encrypted data to the monitoring platform connected to the home dialysis machine.

[0089] In an embodiment of the present application, the monitoring platform deeply analyzes the patient's physiological state based on the encrypted data to generate a nursing management report, including:

[0090] The monitoring platform decrypts the encrypted data based on the basic private key and the specific private key to obtain physiological parameters;

[0091] Based on the physiological parameters, deeply analyze the patient's physiological state to generate a nursing management report.

[0092] In an embodiment of the present application, the monitoring platform decrypts the encrypted data based on the basic private key and the specific private key to obtain physiological parameters, including:

[0093] The monitoring platform decrypts the encrypted data based on the basic private key to obtain the merged third ciphertext;

[0094] Separate the third ciphertext to generate a second ciphertext;

[0095] ​Decrypt the second ciphertext based on the physiological key to generate the first ciphertext;

[0096] Decrypt the first ciphertext based on a specific private key to generate the physiological parameter.

[0097] In an embodiment of the present application, the monitoring platform uses the basic private key to decrypt the final encrypted data to obtain the merged third ciphertext which is:

[0098] ;

[0099] wherein, is a randomly generated large prime number, represents the linear processing of .

[0100] After that, according to the method adopted during merging, the merged third ciphertext is separated into each second ciphertext . For each second ciphertext , use the physiological key k to perform confusion processing to obtain the first ciphertext . For each first ciphertext , use its corresponding private key to decrypt to obtain the original physiological parameter , where is a randomly generated large prime number.

[0101] After restoring the physiological parameters, organize the collected data, arrange them in chronological order to form time - series data. Mark and verify the abnormal data to ensure the accuracy of the data. Use statistical software or data analysis tools to perform trend analysis on the patient's physiological indicators and observe their changing trends.

[0102] Optionally, analyze the correlation between physiological indicators, such as the relationship between heart rate and blood pressure, the relationship between blood sugar and insulin usage, etc. According to the patient's physiological data and background information, evaluate the risks the patient may face, such as cardiovascular diseases, diabetic complications, etc. Identify the factors that may lead to the deterioration of the physiological state, such as drug side effects, inappropriate lifestyle, etc.

[0103] In this embodiment, the nursing management report may include parts such as the patient's basic information, overview of monitoring data, physiological state analysis, risk assessment, nursing suggestions, etc. Use clear charts and tables to display the data and analysis results to improve the readability of the report.

[0104] Optionally, based on the analysis results, specific nursing suggestions are put forward, such as adjusting the medication plan, improving the lifestyle, strengthening monitoring, etc. The importance of preventive measures and health education is emphasized to improve the patient's self-management ability.

[0105] In this embodiment, the monitoring platform can deeply analyze the physiological state of the patient based on the encrypted data and generate a detailed nursing management report. This not only provides comprehensive patient status information for medical staff but also helps them timely discover potential health problems, so as to take timely and effective intervention measures.

[0106] Step S150, obtain the nursing management report transmitted back by the monitoring platform and display it on the interface of the home dialysis machine.

[0107] In an embodiment of the present application, the home dialysis machine is usually equipped with a display screen for displaying key data and information during the treatment process. The received nursing management report is displayed on the display screen of the dialysis machine. Adjust the display format and layout of the report as needed so that users can clearly view and understand the content in the nursing management report.

[0108] Optionally, the home dialysis machine has relevant interaction functions, such as zooming, scrolling, page turning, etc., to improve the user experience.

[0109] In an embodiment of the present application, the entire process from the generation of a personalized dialysis plan, the collection and encrypted transmission of physiological parameters, to the generation of a deep analysis and nursing management report has achieved a high degree of intelligence and automation. This not only reduces the workload of medical staff but also improves the accuracy and efficiency of the entire treatment process.

[0110] In the technical solution of the present application, the basic information of the patient is obtained through the home dialysis machine, and a personalized dialysis plan is generated according to the basic information and displayed on the interface of the home dialysis machine; during the dialysis process according to the dialysis plan, the physiological parameters of the patient's various vital signs are collected through the sensing device; a self-organizing network is constructed among the sensing devices, and the physiological parameters are encrypted in the self-organizing network through a specific public key and a basic public key to generate encrypted data; the encrypted data is transmitted to the monitoring platform connected to the home dialysis machine to deeply analyze the physiological state of the patient based on the encrypted data through the monitoring platform and generate a nursing management report; the nursing management report transmitted back by the monitoring platform is obtained and displayed on the interface of the home dialysis machine. Through a series of advanced technical means, the comprehensive monitoring of the patient's physiological state, the formulation and implementation of personalized treatment plans, and the efficient data processing and analysis are realized, thus significantly improving the safety and effectiveness during the dialysis treatment process, providing more considerate, efficient and personalized nursing services for patients, and protecting the security and privacy of patient information.

[0111] The following describes the device embodiments of the present application, which can be used to execute the blood dialysis patient care management method in the above embodiments of the present application. It can be understood that the device can be a computer program (including program code) running on a computer device. For example, the device is an application software; the device can be used to execute the corresponding steps in the method provided by the embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the embodiments of the above-mentioned blood dialysis patient care management method of the present application.

[0112] Figure 3 The block diagram of a blood dialysis patient care management system according to an embodiment of the present application is shown.

[0113] Referring to Figure 3 As shown, a blood dialysis patient care management system according to an embodiment of the present application includes:

[0114] A scheme unit 310, configured to obtain basic information of a patient through a home dialysis machine, generate a personalized dialysis scheme according to the basic information, and display it on the interface of the home dialysis machine;

[0115] A monitoring unit 320, configured to collect physiological parameters of various vital signs of the patient through a sensing device during the dialysis process according to the dialysis scheme;

[0116] An encryption unit 330, configured to build an ad hoc network among the sensing devices, and encrypt the physiological parameters through a specific public key and a basic public key in the ad hoc network to generate encrypted data;

[0117] An analysis unit 340, configured to transmit the encrypted data to a monitoring platform connected to the home dialysis machine, so as to deeply analyze the physiological state of the patient based on the encrypted data through the monitoring platform and generate a care management report;

[0118] A display unit 350, configured to obtain the care management report transmitted back by the monitoring platform and display it on the interface of the home dialysis machine.

[0119] In the present application, based on the foregoing scheme, generating a personalized dialysis scheme according to the basic information includes: generating an information matrix corresponding to the basic information based on the basic information of the patient; matching in the original dialysis scheme according to the information matrix to determine an alternative scheme; and correcting the alternative scheme based on the basic information to generate a personalized dialysis scheme.

[0120] In this application, based on the foregoing solution, building an ad hoc network among the sensing devices includes: obtaining the device information of each sensing device, where the device information includes data type, data volume, and importance weight; and building an ad hoc network among the sensing devices according to the device information of the sensing devices.

[0121] In this application, based on the foregoing solution, encrypting the physiological parameters by using a specific public key and a basic public key in the ad hoc network to generate encrypted data includes: for the physiological parameters collected by each sensing device, respectively performing preliminary encryption based on the specific public key to generate a first ciphertext; performing encryption processing on the first ciphertext based on a physiological key to generate a second ciphertext; merging all the second ciphertexts based on the ad hoc network to generate a third ciphertext; and performing encryption operation processing on the third ciphertext based on the basic public key to generate the encrypted data.

[0122] In this application, based on the foregoing solution, the monitoring platform deeply analyzes the physiological state of a patient based on the encrypted data to generate a nursing management report, including: the monitoring platform decrypts the encrypted data based on the basic private key and the specific private key to obtain the physiological parameters; and deeply analyzes the physiological state of the patient based on the physiological parameters to generate a nursing management report.

[0123] In this application, based on the foregoing solution, the monitoring platform decrypts the encrypted data based on the basic private key and the specific private key to obtain the physiological parameters, including: the monitoring platform decrypts the encrypted data based on the basic private key to obtain the merged third ciphertext; separating the third ciphertext to generate a second ciphertext; decrypting the second ciphertext based on the physiological key to generate a first ciphertext; and decrypting the first ciphertext based on the specific private key to generate the physiological parameters.

[0124] In this application, based on the foregoing solution, after collecting the physiological parameters of various vital signs of a patient by a sensing device during dialysis according to the dialysis plan, it further includes: detecting whether there is homogeneous data in the physiological parameters; and if there is homogeneous data, compressing the homogeneous data.

[0125] In the technical solution of the present application, basic information of a patient is obtained through a home dialysis machine, and according to the basic information, a personalized dialysis plan is generated and displayed on the interface of the home dialysis machine; during the dialysis process according to the dialysis plan, physiological parameters of various vital signs of the patient are collected through a sensing device; a self-organizing network is constructed among the sensing devices, and in the self-organizing network, the physiological parameters are encrypted by a specific public key and a basic public key to generate encrypted data; the encrypted data is transmitted to a monitoring platform connected to the home dialysis machine, so as to deeply analyze the physiological state of the patient based on the encrypted data through the monitoring platform to generate a nursing management report; the nursing management report returned by the monitoring platform is obtained and displayed on the interface of the home dialysis machine. Through a series of advanced technical means, comprehensive monitoring of the physiological state of the patient, formulation and implementation of a personalized treatment plan, and efficient data processing and analysis are realized, thereby significantly improving the safety and effectiveness during the dialysis treatment process, providing more considerate, efficient and personalized nursing services for the patient, and protecting the security and privacy of the patient information.

[0126] Figure 4 The structural schematic diagram of a computer system of an electronic device suitable for implementing the embodiments of the present application is shown.

[0127] It should be noted that the computer system of the electronic device in this embodiment is only an example, and should not bring any limitation to the functions and usage scopes of the embodiments of the present application.

[0128] The computer system in this embodiment includes a central processing unit 401, which can perform various appropriate actions and processes according to the program stored in the read-only memory 402 or the program loaded from the storage part 408 into the random access memory 403, such as executing the blood dialysis patient nursing management method described in the above embodiment. In the random access memory 403, various programs and data required for system operation are also stored. The central processing unit 401, the read-only memory 402, and the random access memory 403 are connected to each other through a bus 404. The input / output interface 405 is also connected to the bus 404.

[0129] The following components are connected to the input / output interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including, for example, a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the input / output interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive 410 as needed so that a computer program read therefrom can be installed into the storage section 408 as needed.

[0130] Specifically, according to an embodiment of the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network via the communication section 409, and / or installed from the removable medium 411. When the computer program is executed by the central processing unit 401, various functions defined in the system of the present application are executed.

[0131] It should be noted that the computer-readable medium shown in the embodiments of the present application can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of a computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device. In the present application, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable computer program. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, and this computer-readable medium can send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The computer program contained on a computer-readable medium can be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0132] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. Among them, each block in the flowchart or block diagram can represent a module, a program segment, or a part of code, and the above module, program segment, or part of code contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, and the combination of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0133] The units involved in the embodiments described in this application can be implemented in software or in hardware, and the described units can also be provided in a processor. Among them, the names of these units do not, in some cases, constitute a limitation on the unit itself.

[0134] According to one aspect of the present application, there is provided a computer program product or a computer program, the computer program product or the computer program including computer instructions, and the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the methods provided in the above various alternative implementation manners.

[0135] As another aspect, the present application further provides a computer-readable medium, which may be included in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the one or more programs are executed by an electronic device, the electronic device implements the method for caring and managing hemodialysis patients described in the above embodiments.

[0136] It should be noted that although several modules or units of a device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of the two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0137] Through the description of the above embodiments, those skilled in the art can easily understand that the example embodiments described here can be implemented by software or by a combination of software and necessary hardware. Therefore, the technical solutions according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (such as a personal computer, a server, a touch terminal, or a network device, etc.) to execute the methods according to the embodiments of the present application.

[0138] After considering the specification and practicing the disclosed embodiments herein, those skilled in the art will readily conceive of other embodiments of the present application. The present application is intended to cover any variations, uses, or adaptations of the present application, which follow the general principles of the present application and include known common knowledge or conventional technical means in the technical field not disclosed in the present application.

[0139] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present application is only limited by the appended claims.

Claims

1. A method for nursing management of hemodialysis patients, characterized in that: include: Obtaining basic information of the patient through the home dialysis machine, generating a personalized dialysis plan based on the basic information, and displaying the plan on the interface of the home dialysis machine; During the dialysis process according to the dialysis scheme, the physiological parameters of various vital signs of the patient are collected by means of a sensor device; Building an ad hoc network between the sensor devices, encrypting the physiological parameters in the ad hoc network by using a specific public key and a basic public key to generate encrypted data; Transmitting the encrypted data to a monitoring platform connected to the home dialysis machine, so as to perform an in-depth analysis of the patient's physiological state based on the encrypted data through the monitoring platform and generate a nursing management report; Obtaining the nursing management report sent back by the monitoring platform and displaying it on the interface of the home dialysis machine; Wherein, constructing a self-organizing network between the sensor devices includes: Acquire device information of each sensor device, wherein the device information includes data type, data volume, and important weight; Building an ad hoc network between the sensor devices according to the device information of the sensor devices; The step of encrypting the physiological parameters by using a specific public key and a basic public key in the ad hoc network to generate encrypted data includes: For the physiological parameters collected by each sensor device, preliminary encryption is performed based on a specific public key to generate a first ciphertext; Encrypting the first ciphertext based on the physiological key to generate a second ciphertext; Based on the ad hoc network, all the second ciphertexts are merged to generate a third ciphertext; The third ciphertext is encrypted based on the basic public key to generate the encrypted data.

2. A method for nursing management of hemodialysis patients according to claim 1, characterized in that: Based on the basic information, a personalized dialysis plan is generated, including: Based on the basic information of the patient, generating an information matrix corresponding to the basic information; Matching the original dialysis plan according to the information matrix to determine a backup plan; The backup plan is corrected based on the basic information to generate a personalized dialysis plan.

3. A method for nursing management of hemodialysis patients according to claim 1, characterized in that: The monitoring platform performs an in-depth analysis of the patient's physiological state based on the encrypted data to generate a nursing management report, including: The monitoring platform decrypts the encrypted data based on the basic private key and the specific private key to obtain the physiological parameters; An in-depth analysis of the patient's physiological state is performed based on the physiological parameters to generate a nursing management report.

4. A method for nursing management of hemodialysis patients according to claim 3, characterized in that: The monitoring platform decrypts the encrypted data based on the basic private key and the specific private key to obtain physiological parameters, including: Decrypting the encrypted data based on the basic private key through the monitoring platform to obtain a combined third ciphertext; Separating the third ciphertext to generate a second ciphertext; decrypting the second ciphertext based on the physiological key to generate a first ciphertext; The first ciphertext is decrypted based on a specific private key to generate the physiological parameter.

5. A method for nursing management of hemodialysis patients according to claim 1, characterized in that: During the dialysis process according to the dialysis scheme, after collecting the physiological parameters of various vital signs of the patient through the sensor device, the method further includes: detecting whether homogeneous data exists in the physiological parameters; If homogeneous data exists, the homogeneous data is compressed.

6. A hemodialysis patient care management system, characterized in that: include: A plan unit, used to obtain basic information of the patient through the home dialysis machine, and generate a personalized dialysis plan based on the basic information, and display it on the interface of the home dialysis machine; A monitoring unit, used to collect physiological parameters of various vital signs of the patient through a sensor device during the dialysis process according to the dialysis scheme; An encryption unit, used for building a self-organizing network between the sensor devices, encrypting the physiological parameters in the self-organizing network by using a specific public key and a basic public key to generate encrypted data; An analysis unit, used for transmitting the encrypted data to a monitoring platform connected to the home dialysis machine, so as to perform an in-depth analysis of the patient's physiological state based on the encrypted data through the monitoring platform and generate a nursing management report; A display unit, used to obtain the nursing management report sent back by the monitoring platform and display it on the interface of the home dialysis machine; Wherein, constructing a self-organizing network between the sensor devices includes: Acquire device information of each sensor device, wherein the device information includes data type, data volume, and important weight; Building an ad hoc network between the sensor devices according to the device information of the sensor devices; The step of encrypting the physiological parameters by using a specific public key and a basic public key in the ad hoc network to generate encrypted data includes: For the physiological parameters collected by each sensor device, preliminary encryption is performed based on a specific public key to generate a first ciphertext; Encrypting the first ciphertext based on the physiological key to generate a second ciphertext; Based on the ad hoc network, all the second ciphertexts are merged to generate a third ciphertext; The third ciphertext is encrypted based on the basic public key to generate the encrypted data.

7. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, a hemodialysis patient care management method according to any one of claims 1 to 5 is implemented.

8. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the one or more processors to implement a hemodialysis patient care management method as described in any one of claims 1 to 5.

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