Intelligent chronic disease management method and system

Abstract

The invention discloses an intelligent chronic disease management method and system, and the method comprises the steps: obtaining the patient information of a chronic disease patient, the current illness state data of a current examination, and an illness state follow-up visit report, and obtaining the historical illness state data of a plurality of examinations from a side chain of a block chain; according to the current illness state data, the historical illness state data and the illness state follow-up visit report, calculating a current chronic disease state index; determining a current hash value of the current illness state data, and dividing the current illness state data to obtain current illness state data with different priorities; and storing the patient information, the current chronic disease condition index and the current hash value into a main chain of the block chain, performing hierarchical chaining on the current condition data with different priorities, and storing the current condition data into a side chain of the block chain, so as to realize intelligent management of the chronic disease based on the block chain. According to the embodiment of the invention, the efficiency and precision of chronic disease management can be improved, the safety and privacy of illness state data can be ensured, and better health management service is provided for chronic disease patients.

Description

Technical Field

[0001] The present invention belongs to the field of medical health technology, and in particular to an intelligent chronic disease management method and system. Background Art

[0002] Chronic diseases (CLDs) refer to diseases that require long-term management and treatment, such as diabetes, hypertension, heart disease, asthma, etc. These diseases often have a significant impact on the quality of life and life expectancy of patients. With the aging of the global population and changes in lifestyle, the incidence of chronic diseases continues to rise, and has become a major challenge to global public health.

[0003] Traditional chronic disease management methods mainly rely on regular offline medical treatment, manual recording of medical data and manual analysis by doctors. These methods have many shortcomings, such as incomplete and untimely data, low management efficiency, data security and privacy issues, etc. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent chronic disease management method and system to address the deficiencies in the prior art, improve the efficiency and accuracy of chronic disease management, ensure the security and privacy of disease data, and provide better health management services for chronic disease patients.

[0005] An embodiment of the present application provides an intelligent chronic disease management method, the method comprising: Obtain patient information of chronic disease patients, current condition data of this examination and condition follow-up report, and obtain historical condition data of several examinations from the side chain of the blockchain; Calculate the current chronic disease index of the chronic disease patient reflecting the severity of the disease according to the current disease data, the historical disease data and the disease follow-up report; Determine the current hash value of the current condition data, and divide the current condition data to obtain current condition data of different priorities; The patient information, the current chronic disease index and the current hash value are stored in the main chain of the blockchain, and the current disease data of different priorities are layered and stored in the side chain of the blockchain to realize blockchain-based intelligent management of chronic diseases.

[0006] Optionally, the current chronic disease index reflecting the severity of the chronic disease patient is calculated based on the current disease data, the historical disease data and the disease follow-up report, including: According to the current condition data, the historical condition data and the condition follow-up report, the condition severity index is calculated as: ;

[0007] Among them, the is the jth item of condition data in the current condition data, is the ideal value within the normal range of the j-th condition data, is the number of items of disease data; The disease fluctuation index is calculated as: ;

[0008] Among them, the is the condition data of the pth examination, is the average value of the disease data, The number of examinations for the medical condition data; The complication index was calculated as: ;

[0009] Among them, the is the weight of the kth complication in the current condition data, Score the severity of the kth complication in the current condition data, is the number of complications; The treatment compliance index was calculated as: ;

[0010] Among them, the is the compliance behavior score on day t during the period from the last examination to the current examination. is the expected compliance behavior score on day t, The number of days between the last inspection and the current inspection; The quality of life index was calculated as: ;

[0011] Among them, the is the score of the mth quality of life indicator, for the number of quality of life indicators; The current chronic disease index of the chronic disease patient is calculated according to the disease severity index, the disease fluctuation index, the complication index, the treatment compliance index, and the quality of life index.

[0012] Optionally, the calculation formula of the current chronic disease index is: , wherein the , , , , are the weight coefficients of the corresponding indexes respectively.

[0013] Optionally, the priority includes: high priority, medium priority, and low priority; The current disease data of different priorities are stored on the blockchain in layers and on the side chain of the blockchain, including: The current disease data with high priority will be uploaded to the chain immediately; The current disease data with medium priority is uploaded to the chain in batches; The low-priority current disease data is asynchronously uploaded to the blockchain and stored in the side chain.

[0014] Another embodiment of the present application provides an intelligent chronic disease management system, the system comprising: The acquisition module is used to obtain the patient information of chronic disease patients, the current condition data of this examination and the condition follow-up report, and obtain the historical condition data of several examinations from the side chain of the blockchain; A calculation module, used to calculate the current chronic disease index reflecting the severity of the chronic disease patient according to the current disease data, the historical disease data and the disease follow-up report; A partitioning module, used to determine the current hash value of the current condition data, and partition the current condition data to obtain current condition data of different priorities; The storage module is used to store the patient information, the current chronic disease index and the current hash value in the main chain of the blockchain, and to layer the current disease data of different priorities on the chain and store them in the side chain of the blockchain to realize the blockchain-based intelligent management of chronic diseases.

[0015] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0016] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0017] Compared with the prior art, the present invention provides an intelligent chronic disease management method, which obtains patient information of chronic disease patients, current condition data of this examination and condition follow-up report, and obtains historical condition data of several examinations from the side chain of the blockchain; calculates the current chronic disease condition index reflecting the degree of the chronic disease patient according to the current condition data, the historical condition data and the condition follow-up report; determines the current hash value of the current condition data, and divides the current condition data to obtain current condition data of different priorities; stores the patient information, the current chronic disease condition index and the current hash value in the main chain of the blockchain, and layers the current condition data of different priorities on the chain and stores them in the side chain of the blockchain to realize intelligent management of chronic diseases based on blockchain, thereby improving the efficiency and accuracy of chronic disease management, and ensuring the security and privacy of condition data, providing better health management services for chronic disease patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A hardware structure block diagram of a computer terminal for an intelligent chronic disease management method provided by an embodiment of the present invention; Figure 2 A schematic diagram of a flow chart of an intelligent chronic disease management method provided by an embodiment of the present invention; Figure 3 A schematic diagram of the structure of an intelligent chronic disease management system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0020] The embodiment of the present invention first provides an intelligent chronic disease management method, which can be applied to electronic devices, such as computer terminals, specifically ordinary computers, etc.

[0021] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal of an intelligent chronic disease management method provided by an embodiment of the present invention. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the computer terminal may also include a transmission device 106 for communication functions and an input and output device 108. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0022] The memory 104 can be used to store software programs and modules of application software, such as program instructions / modules corresponding to the intelligent chronic disease management method in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, implementing the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0023] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0024] See also Figure 2 , an embodiment of the present invention provides an intelligent chronic disease management method, which may include the following steps: S201, obtaining patient information of chronic disease patients, current condition data of this examination and condition follow-up report, and obtaining historical condition data of several examinations from the side chain of the blockchain; specifically, one implementation method may include: Step 1: Obtain patient information 1. Patient registration and data authorization: - Patients register in the intelligent chronic disease management system and provide basic information (such as name, age, gender, contact information, etc.).

[0025] - Patients authorize medical institutions and systems to obtain their medical data.

[0026] 2. Data integration and preprocessing: - The system obtains basic patient information from different data sources (such as hospital information system, electronic medical record system, etc.).

[0027] - Integrate and pre-process the acquired data to ensure its accuracy and completeness.

[0028] Step 2: Get the current condition data for this examination 1. Data collection: - Patients undergo regular or ad hoc physical examinations to obtain the latest medical data (such as blood sugar, blood pressure, heart rate, lung function, etc.).

[0029] - Use smart devices (such as smart bracelets, blood glucose meters, etc.) to collect medical data in real time and transmit the data to the system through the Internet of Things technology.

[0030] 2. Data storage: - The system stores the collected current condition data and generates a unique identifier for each data item.

[0031] Step 3: Obtain a follow-up report 1. Follow-up arrangements and implementation: - Medical institutions arrange regular follow-up visits based on the patient’s condition.

[0032] - During the follow-up process, the doctor records information such as changes in the patient's condition, treatment effects, and medication use, and generates a follow-up report.

[0033] 2. Data upload and integration: - Follow-up reports are uploaded through the system and stored in the patient's electronic medical record.

[0034] - The system integrates the follow-up report with the patient's basic information and current condition data to form a complete medical record.

[0035] Step 4: Get historical medical data of several examinations from the blockchain sidechain 1. Data query: - The system initiates a data query request to the blockchain sidechain through the blockchain’s smart contract.

[0036] - The query request contains the patient's unique identifier and data access permissions.

[0037] 2. Data verification and decryption: - The blockchain sidechain verifies the legitimacy of the query request and data access rights.

[0038] - After the legal request is passed, the system obtains historical medical data from the side chain and decrypts and verifies the data.

[0039] 3. Data integration and analysis: - The system integrates the acquired historical medical data with the current medical data, follow-up reports, etc. to form a complete medical data set.

[0040] Through the above steps, the system can obtain the patient's condition data comprehensively, accurately and timely, and provide data support for intelligent chronic disease management. This method not only improves the efficiency and accuracy of data acquisition, but also ensures the security and privacy protection of data through blockchain technology, providing a strong technical guarantee for chronic disease management.

[0041] In the intelligent chronic disease management method, the steps of obtaining patient information, current disease data, disease follow-up reports, and historical disease data from the blockchain side chain are the basis for achieving accurate, personalized and dynamic chronic disease management. The acquisition and integration of these data have the following important significance: 1. Comprehensive understanding of the condition: By obtaining patient information and current condition data, you can fully understand the patient's current health status and the specific conditions of the chronic disease, which helps doctors make accurate diagnosis and treatment decisions.

[0042] 2. Condition tracking and trend analysis: By obtaining follow-up reports and historical condition data, the patient's condition can be tracked over a long period of time, the development trend of the condition can be analyzed, and potential health risks can be identified.

[0043] 3. Data integration and sharing: Through the application of blockchain technology, the secure sharing and integration of medical data can be achieved, which will help data collaboration among multiple medical institutions and improve the overall efficiency and effectiveness of chronic disease management.

[0044] 4. Development of personalized treatment plans: Through comprehensive analysis of current and historical medical data, personalized treatment plans can be developed for patients to improve the targetedness and effectiveness of treatment.

[0045] S202, calculating a current chronic disease index reflecting the severity of the chronic disease patient's condition based on the current condition data, the historical condition data and the condition follow-up report; Specifically, the disease severity index may be calculated based on the current disease data, the historical disease data, and the disease follow-up report as follows: ;

[0046] Among them, the is the jth item of condition data in the current condition data, is the ideal value within the normal range of the j-th condition data, is the number of items of disease data.

[0047] - Quantify the severity of the disease by calculating the deviation between the current disease data and the ideal value.

[0048] - Reflects the overall deviation of the disease data, thereby evaluating the patient's health status.

[0049] - Provides quantitative indicators of the severity of the disease to help doctors quickly understand the condition.

[0050] The disease fluctuation index is calculated as: ;

[0051] Among them, the is the condition data of the pth examination, is the average value of the disease data, The number of examinations for the medical condition data; - Quantify the stability of the disease by calculating the fluctuation of disease data.

[0052] - Reflect the degree of fluctuation of the disease, so as to evaluate the changing trend of the disease.

[0053] - Provide quantitative indicators of disease fluctuations to help doctors and patients understand the stability and changing trends of the disease.

[0054] The complication index was calculated as: ;

[0055] Among them, the is the weight of the kth complication in the current condition data, Score the severity of the kth complication in the current condition data, is the number of complications; - Quantify the complexity of the condition by calculating the combined impact of complications.

[0056] - Reflect the severity of complications and thus assess the complexity of the condition.

[0057] - Provides quantitative indicators of the impact of complications to help doctors comprehensively assess the complexity of the disease.

[0058] The treatment compliance index was calculated as: ;

[0059] Among them, the is the compliance behavior score on day t during the period from the last examination to the current examination (which can be obtained based on the follow-up report questionnaire survey). is the expected compliance behavior score on day t, The number of days between the last inspection and the current inspection; - Quantify treatment adherence by calculating the ratio of actual adherence behavior to expected adherence behavior.

[0060] - Reflect on the patient's implementation of the treatment plan, thereby evaluating the effectiveness of the treatment.

[0061] - Provide quantitative indicators of treatment compliance to help doctors understand patients' implementation of treatment plans.

[0062] The quality of life index was calculated as: ;

[0063] Among them, the is the score of the mth quality of life indicator (which can be obtained based on the follow-up report questionnaire survey), for the number of quality of life indicators; - Quantify quality of life by calculating the mean of quality of life indicators.

[0064] - Reflect the patient's overall living condition and thus assess the impact of the disease on the quality of life.

[0065] - Provide quantitative indicators of quality of life to help doctors and patients understand the impact of the disease on their lives.

[0066] The current chronic disease index of the chronic disease patient is calculated according to the disease severity index, the disease fluctuation index, the complication index, the treatment compliance index, and the quality of life index.

[0067] Specifically, a calculation formula for the current chronic disease index can be: , wherein the , , , , are the weight coefficients of the corresponding indexes respectively.

[0068] - Quantify the overall severity of the disease by combining indices from various dimensions.

[0069] - Reflect the comprehensive condition of the disease, thereby evaluating the patient's health status.

[0070] - Provide comprehensive quantitative indicators of the condition to help doctors comprehensively and accurately evaluate the condition and provide a basis for formulating treatment plans.

[0071] In the intelligent chronic disease management method, calculating the current chronic disease index of chronic disease patients based on current disease data, historical disease data and disease follow-up reports has the following important functions: 1. Comprehensive assessment of the condition: Through comprehensive analysis of current and historical data, the severity of the patient's chronic disease can be comprehensively assessed, helping doctors and patients understand the current status and development trend of the disease.

[0072] 2. Personalized treatment plan: Based on the disease index, doctors can develop more personalized treatment plans to improve the targetedness and effectiveness of treatment.

[0073] 3. Prevention and intervention: By monitoring the changes in the disease index, the deterioration trend of the disease can be discovered in time, intervention can be made in advance, and the occurrence of complications can be prevented.

[0074] 4. Health management: The disease index provides patients with quantitative health management indicators, helping them to manage their daily health more scientifically and improve their quality of life.

[0075] S203, determining the current hash value of the current condition data, and dividing the current condition data to obtain current condition data of different priorities; Among them, the priority may include: high priority, medium priority, and low priority. A specific implementation method may include: Step 1: Determine the current hash value of the current medical condition data 1. Data Collection: - Obtain the patient's current condition data, including various physical examination indicators, test results, and doctor's records.

[0076] 2. Data preprocessing: - Format the acquired current medical condition data to ensure the standardization and consistency of the data.

[0077] - Remove invalid and redundant data and retain valid data items.

[0078] 3. Hash value calculation: - Choose a secure hashing algorithm such as SHA-256.

[0079] - Perform hash calculation on the preprocessed current condition data to generate a hash value of the current condition data.

[0080] 4. Hash value storage: - The generated current hash value is stored in the main chain of the blockchain to ensure the immutability of the data.

[0081] Step 2: Divide the current condition data to obtain current condition data of different priorities 1. Prioritization criteria: - Determine the criteria for prioritizing medical data. Data can usually be divided into high priority, medium priority, and low priority based on its importance, urgency, and impact on diagnosis and treatment decisions.

[0082] 2. Data classification: - Categorize current medical condition data according to priority criteria.

[0083] - High priority data: such as life-threatening indicators (abnormal heart rate, high blood pressure, etc.).

[0084] - Medium priority data: such as general diagnostic results (blood sugar levels, blood lipid levels, etc.).

[0085] - Low priority data: such as general health information (weight, height, etc.).

[0086] 3. Data labeling: - Mark data of different priorities and add priority tags for subsequent processing.

[0087] Through the above steps, the integrity and security of the current disease data can be ensured, while the data chain strategy can be optimized to improve the efficiency and reliability of intelligent chronic disease management methods. 1. Data integrity and tamper-proofing: By calculating the hash value, the integrity of the current medical data during transmission and storage can be ensured to prevent the data from being tampered with.

[0088] 2. Data priority management: Prioritize the current medical data and flexibly arrange the data chain strategy according to the importance and urgency of the data to improve the efficiency and rationality of data processing.

[0089] 3. Resource optimization and allocation: Data of different priorities correspond to different on-chain strategies, which can effectively optimize the use of blockchain resources and avoid excessive system load.

[0090] S204, storing the patient information, the current chronic disease index and the current hash value in the main chain of the blockchain, and layering the current disease data of different priorities on the chain and storing them in the side chain of the blockchain to achieve blockchain-based intelligent management of chronic diseases.

[0091] Patient information, current chronic disease index and current hash value are stored in the main chain of the blockchain. The immutability of the blockchain is utilized to ensure the integrity and security of the data during transmission and storage, prevent data from being tampered with, and thus improve the credibility of the data.

[0092] The data stored in the main chain is transparent and traceable. All relevant parties can view the change records and sources of the data, ensuring that the operations of each data node are traceable, thereby improving the transparency and trust of the system.

[0093] The data in the main chain is the consensus data of the entire network. The data of all nodes is consistent, avoiding the problem of data asynchrony, ensuring that all participants analyze and make decisions based on the same data, and improving management efficiency.

[0094] Specifically, the current disease data of different priorities are uploaded to the chain in layers and stored in the side chain of the blockchain. The current disease data with high priority can be uploaded to the chain immediately; - High-priority current medical data usually include life-threatening indicators, such as abnormal heart rate, high blood pressure, etc. For this type of data, it is necessary to immediately process it on the chain to ensure that the data can be recorded and verified by the blockchain in a timely manner.

[0095] - Ensure that emergency data can be processed and shared in a timely manner, provide timely and effective data support for medical decision-making, improve medical response speed and treatment success rate, and ensure the safety of patients' lives.

[0096] The current disease data with medium priority is uploaded to the chain in batches; - Medium priority current condition data usually includes general diagnosis results, such as blood sugar level, blood lipid level, etc. The importance and urgency of this type of data are slightly lower than the high priority data, and can be processed in batches on the chain within a certain time interval.

[0097] - Through batch uploading, the use of blockchain resources can be optimized while ensuring data security and integrity, reducing the system burden caused by frequent uploading, and improving the overall processing efficiency and stability of the system.

[0098] The low-priority current disease data is asynchronously uploaded to the blockchain and stored in the side chain.

[0099] - Low-priority current condition data usually includes routine health information, such as weight, height, etc. This type of data is less important and urgent, and can be asynchronously uploaded during system idle time.

[0100] - Through asynchronous chaining, the idle time of the system can be fully utilized to avoid resource waste, ensure the effective storage of low-priority data without affecting the processing of high-priority and medium-priority data, and improve the resource utilization and overall efficiency of the system.

[0101] The chronic disease data is stored in the side chain, and the main chain only stores the hash value of the data and the access index of the side chain. This can reduce the storage pressure of the main chain and improve data processing efficiency.

[0102] Medical data of different priorities can be uploaded to the chain in layers. The chain-up strategy can be flexibly arranged according to the importance and urgency of the data, effectively optimizing the use of blockchain resources, avoiding excessive system load, and ensuring the stability and efficiency of system operation.

[0103] Carry out stricter security management on high-priority data to ensure the security and reliability of key data. The hierarchical management strategy can reduce the frequency of uploading low-priority data and reduce the consumption of system resources while ensuring the security of high-priority data.

[0104] By layering on-chain, high-priority data can be processed in a timely manner, ensuring that emergencies can be responded to and resolved quickly. Low-priority data can be processed when the system is idle, improving the data processing efficiency of the overall system.

[0105] Storing patient information, current chronic disease index and current hash value in the main chain of the blockchain, as well as layering and uploading current disease data of different priorities and storing them in the side chain of the blockchain, plays an important role in realizing intelligent chronic disease management based on blockchain. This method can not only ensure the integrity, security and consistency of data, but also optimize system resources, improve data processing efficiency and medical response speed, and provide strong technical support and guarantee for chronic disease management.

[0106] It can be seen that the patient information of the chronic disease patient, the current condition data of this examination and the condition follow-up report are obtained, and the historical condition data of several examinations are obtained from the side chain of the blockchain; the current chronic disease condition index reflecting the degree of the condition of the chronic disease patient is calculated according to the current condition data, the historical condition data and the condition follow-up report; the current hash value of the current condition data is determined, and the current condition data is divided to obtain current condition data of different priorities; the patient information, the current chronic disease condition index and the current hash value are stored in the main chain of the blockchain, and the current condition data of different priorities are layered and chained, and stored in the side chain of the blockchain, so as to realize the blockchain-based intelligent management of chronic diseases, thereby improving the efficiency and accuracy of chronic disease management, and ensuring the security and privacy of condition data, and providing better health management services for chronic disease patients.

[0107] Another embodiment of the present invention provides an intelligent chronic disease management system, see Figure 3 , the system may include: The acquisition module 301 is used to obtain the patient information of the chronic disease patient, the current condition data of this examination and the condition follow-up report, and obtain the historical condition data of several examinations from the side chain of the blockchain; A calculation module 302 is used to calculate the current chronic disease index reflecting the severity of the chronic disease patient according to the current disease data, the historical disease data and the disease follow-up report; A division module 303 is used to determine the current hash value of the current condition data and divide the current condition data to obtain current condition data of different priorities; The storage module 304 is used to store the patient information, the current chronic disease index and the current hash value in the main chain of the blockchain, and to layer the current disease data of different priorities on the chain and store them in the side chain of the blockchain to realize the blockchain-based intelligent management of chronic diseases.

[0108] It can be seen that the patient information of the chronic disease patient, the current condition data of this examination and the condition follow-up report are obtained, and the historical condition data of several examinations are obtained from the side chain of the blockchain; the current chronic disease condition index reflecting the degree of the condition of the chronic disease patient is calculated according to the current condition data, the historical condition data and the condition follow-up report; the current hash value of the current condition data is determined, and the current condition data is divided to obtain current condition data of different priorities; the patient information, the current chronic disease condition index and the current hash value are stored in the main chain of the blockchain, and the current condition data of different priorities are layered and chained, and stored in the side chain of the blockchain, so as to realize the blockchain-based intelligent management of chronic diseases, thereby improving the efficiency and accuracy of chronic disease management, and ensuring the security and privacy of condition data, and providing better health management services for chronic disease patients.

[0109] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0110] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps: S201, obtaining patient information of chronic disease patients, current condition data of this examination and condition follow-up report, and obtaining historical condition data of several examinations from the side chain of the blockchain; S202, calculating a current chronic disease index reflecting the severity of the chronic disease patient's condition based on the current condition data, the historical condition data and the condition follow-up report; S203, determining the current hash value of the current condition data, and dividing the current condition data to obtain current condition data of different priorities; S204, storing the patient information, the current chronic disease index and the current hash value in the main chain of the blockchain, and layering the current disease data of different priorities on the chain and storing them in the side chain of the blockchain to achieve blockchain-based intelligent management of chronic diseases.

[0111] It can be seen that the patient information of the chronic disease patient, the current condition data of this examination and the condition follow-up report are obtained, and the historical condition data of several examinations are obtained from the side chain of the blockchain; the current chronic disease condition index reflecting the degree of the condition of the chronic disease patient is calculated according to the current condition data, the historical condition data and the condition follow-up report; the current hash value of the current condition data is determined, and the current condition data is divided to obtain current condition data of different priorities; the patient information, the current chronic disease condition index and the current hash value are stored in the main chain of the blockchain, and the current condition data of different priorities are layered and chained, and stored in the side chain of the blockchain, so as to realize the blockchain-based intelligent management of chronic diseases, thereby improving the efficiency and accuracy of chronic disease management, and ensuring the security and privacy of condition data, and providing better health management services for chronic disease patients.

[0112] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0113] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0114] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program: S201, obtaining patient information of chronic disease patients, current condition data of this examination and condition follow-up report, and obtaining historical condition data of several examinations from the side chain of the blockchain; S202, calculating a current chronic disease index reflecting the severity of the chronic disease patient's condition based on the current condition data, the historical condition data and the condition follow-up report; S203, determining the current hash value of the current condition data, and dividing the current condition data to obtain current condition data of different priorities; S204, storing the patient information, the current chronic disease index and the current hash value in the main chain of the blockchain, and layering the current disease data of different priorities on the chain and storing them in the side chain of the blockchain to achieve blockchain-based intelligent management of chronic diseases.

[0115] It can be seen that the patient information of the chronic disease patient, the current condition data of this examination and the condition follow-up report are obtained, and the historical condition data of several examinations are obtained from the side chain of the blockchain; the current chronic disease condition index reflecting the degree of the condition of the chronic disease patient is calculated according to the current condition data, the historical condition data and the condition follow-up report; the current hash value of the current condition data is determined, and the current condition data is divided to obtain current condition data of different priorities; the patient information, the current chronic disease condition index and the current hash value are stored in the main chain of the blockchain, and the current condition data of different priorities are layered and chained, and stored in the side chain of the blockchain, so as to realize the blockchain-based intelligent management of chronic diseases, thereby improving the efficiency and accuracy of chronic disease management, and ensuring the security and privacy of condition data, and providing better health management services for chronic disease patients.

[0116] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. An intelligent chronic disease management method, characterized in that: The method comprises: Obtain patient information of chronic disease patients, current condition data of this examination and condition follow-up report, and obtain historical condition data of several examinations from the side chain of the blockchain; Calculate the current chronic disease index of the chronic disease patient reflecting the severity of the disease according to the current disease data, the historical disease data and the disease follow-up report; Determine the current hash value of the current condition data, and divide the current condition data to obtain current condition data of different priorities; The patient information, the current chronic disease index and the current hash value are stored in the main chain of the blockchain, and the current disease data of different priorities are layered and stored in the side chain of the blockchain to realize blockchain-based intelligent management of chronic diseases.

2. The method according to claim 1, characterized in that The current chronic disease index reflecting the severity of the chronic disease patient is calculated based on the current disease data, the historical disease data and the disease follow-up report, including: According to the current condition data, the historical condition data and the condition follow-up report, the condition severity index is calculated as: ； Among them, the is the jth item of condition data in the current condition data, is the ideal value within the normal range of the j-th condition data, is the number of items of disease data; The disease fluctuation index is calculated as: ； Among them, the is the condition data of the pth examination, is the average value of the disease data, The number of examinations for the medical condition data; The complication index was calculated as: ； Among them, the is the weight of the kth complication in the current condition data, Score the severity of the kth complication in the current condition data, is the number of complications; The treatment compliance index was calculated as: ； Among them, the is the compliance behavior score on day t during the period from the last examination to the current examination. is the expected compliance behavior score on day t, The number of days between the last inspection and the current inspection; The quality of life index was calculated as: ； Among them, the is the score of the mth quality of life indicator, for the number of quality of life indicators; The current chronic disease index of the chronic disease patient is calculated according to the disease severity index, the disease fluctuation index, the complication index, the treatment compliance index, and the quality of life index.

3. The method according to claim 2, characterized in that The calculation formula of the current chronic disease index is: , wherein the , , , , are the weight coefficients of the corresponding indexes respectively.

4. The method according to claim 3, characterized in that The priorities include: high priority, medium priority, and low priority; The current disease data of different priorities are stored on the blockchain in layers and on the side chain of the blockchain, including: The current disease data with high priority will be uploaded to the chain immediately; The current disease data with medium priority is uploaded to the chain in batches; The low-priority current disease data is asynchronously uploaded to the blockchain and stored in the side chain.

5. An intelligent chronic disease management system, characterized in that: The system comprises: The acquisition module is used to obtain the patient information of chronic disease patients, the current condition data of this examination and the condition follow-up report, and obtain the historical condition data of several examinations from the side chain of the blockchain; A calculation module, used to calculate the current chronic disease index reflecting the severity of the chronic disease patient according to the current disease data, the historical disease data and the disease follow-up report; A partitioning module, used to determine the current hash value of the current condition data, and partition the current condition data to obtain current condition data of different priorities; The storage module is used to store the patient information, the current chronic disease index and the current hash value in the main chain of the blockchain, and to layer the current disease data of different priorities on the chain and store them in the side chain of the blockchain to realize the blockchain-based intelligent management of chronic diseases.

6. The system according to claim 5, characterized in that The computing module is specifically used for: According to the current condition data, the historical condition data and the condition follow-up report, the condition severity index is calculated as: ； Among them, the is the jth item of condition data in the current condition data, is the ideal value within the normal range of the j-th condition data, is the number of items of disease data; The disease fluctuation index is calculated as: ； Among them, the is the condition data of the pth examination, is the average value of the disease data, The number of examinations for the medical condition data; The complication index was calculated as: ； Among them, the is the weight of the kth complication in the current condition data, Score the severity of the kth complication in the current condition data, is the number of complications; The treatment compliance index was calculated as: ； Among them, the is the compliance behavior score on day t during the period from the last examination to the current examination. is the expected compliance behavior score on day t, The number of days between the last inspection and the current inspection; The quality of life index was calculated as: ； Among them, the is the score of the mth quality of life indicator, for the number of quality of life indicators; The current chronic disease index of the chronic disease patient is calculated according to the disease severity index, the disease fluctuation index, the complication index, the treatment compliance index, and the quality of life index.

7. The system according to claim 6, characterized in that The calculation formula of the current chronic disease index is: , wherein the , , , , are the weight coefficients of the corresponding indexes respectively.

8. The system according to claim 7, characterized in that The priorities include: high priority, medium priority, and low priority; the storage module is specifically used for: The current disease data with high priority will be uploaded to the chain immediately; The current disease data with medium priority is uploaded to the chain in batches; The low-priority current disease data is asynchronously uploaded to the blockchain and stored in the side chain.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 4 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 4.

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