Remote rehabilitation nursing management platform for coronary heart disease
By introducing technical means such as analysis engine, information exploration module and self-adjustment module into the remote rehabilitation nursing management platform for coronary heart disease, the problems of cumbersome operation and maintenance and low abnormal handling efficiency of existing platforms have been solved, and automated operation and maintenance and abnormal handling have been realized. Improve system stability and usage efficiency.
Patent Information
- Application Number
- CN202411173272.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-26
- Publication Date
- 2024-12-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing remote rehabilitation nursing management platform for coronary heart disease has cumbersome and inefficient problems in operation and maintenance and abnormal handling, and it is difficult to dynamically respond to changes in the operating status of the system and lacks reasonable standards and specifications.
A remote rehabilitation nursing management platform for coronary heart disease is designed, including patient module, nursing module, operation and maintenance module, and the data is calculated and abnormally processed through the analysis engine, and the information exploration module and information algorithm module are used for data sorting and comparing and analyzing. The self-adjustment module and signal transceiver module are used to monitor and handle abnormal situations, and generate operation and maintenance logs to record and optimize operation and maintenance processes.
The platform's automated operation and maintenance and exception handling are realized, the system's stability and usage efficiency are improved, the operation and maintenance personnel are reduced, and the normal operation and data accuracy are ensured.
Smart Images
Figure CN119153056A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of rehabilitation nursing management, in particular to a remote rehabilitation nursing management platform for coronary heart disease. Background Art
[0002] The iliac artery is the only blood vessel that supplies blood to the heart. It is shaped like a crown, so it is called the coronary artery. This artery, like all blood vessels in the body, also hardens and becomes atherosclerotic, resulting in impaired blood circulation to the heart, causing myocardial ischemia and hypoxia, which is called coronary heart disease. Coronary heart disease is a common disease in middle-aged and elderly people, a frequently occurring disease, and a serious threat to people's lives. Most people do not have any symptoms and can work, study, and live as usual, but they often have signs of myocardial ischemia, such as discomfort in the chest or fatigue. Although the symptoms are very mild, a timely electrocardiogram will reveal myocardial ischemia and can be prevented as early as possible. Most of these are latent coronary heart disease. Some patients have more obvious symptoms, such as pain behind the sternum or in the left heart area, which is often transient and short-lived, indicating that the heart is already suffering from insufficient blood supply. In an acute attack, there will be severe pain in the chest area, a weak pulse, profuse sweating, cyanosis of the lips, etc., indicating a myocardial infarction, which requires emergency treatment and then emergency treatment in the hospital.
[0003] The current remote rehabilitation nursing management platform for coronary heart disease has the following problems: the follow-up management platform is relatively simple, and the operation and maintenance strategy it adopts is relatively rigid. When an abnormal problem occurs and the follow-up management platform becomes unavailable, network operation and maintenance personnel are required to manually judge the equipment and check the abnormal points. This method is relatively cumbersome and is based on the operation and maintenance system of judgment and manual processing by operation and maintenance personnel. Due to the uneven personal level of operation and maintenance personnel and the lack of reasonable standards and specifications for the intensity of maintenance of different systems, it is difficult to cope with the dynamic changes of actual phenomena in terms of the accuracy and efficiency of judging the system operation status. Summary of the Invention
[0004] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a remote rehabilitation nursing management platform for coronary heart disease to solve the problems raised in the above-mentioned background technology.
[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a coronary heart disease remote rehabilitation nursing management platform, including a coronary heart disease remote rehabilitation nursing management platform main body, including the following steps:
[0006] S1. A facial camera panel is fixedly installed on the top of the main body of the coronary heart disease remote rehabilitation nursing management platform, a remote use panel is fixedly installed on the front end of the main body of the coronary heart disease remote rehabilitation nursing management platform, a mounting base is fixedly installed on the bottom of the main body of the coronary heart disease remote rehabilitation nursing management platform, connecting frames are installed on both sides of the mounting base, a driver is fixedly installed at the end of the connecting frame, a driving wheel is installed at the output end of the driver, the operation and maintenance log storage box is installed on the left side of the main body of the coronary heart disease remote rehabilitation nursing management platform, the operation and maintenance platform is installed at the rear output end of the main body of the coronary heart disease remote rehabilitation nursing management platform, the front bumper and the rear bumper are respectively installed at the front and rear ends of the mounting base, a headlight is installed inside the front bumper, an analysis module is installed above the mounting base, a self-adjustment module is installed inside the operation and maintenance platform, an abnormality collection module is installed on the right side of the operation and maintenance platform, and a signal transceiver module is installed on the right side of the abnormality collection module.
[0007] The main body of the coronary heart disease remote rehabilitation nursing management platform includes: patient module, nursing module, nursing information collection module, and operation and maintenance module;
[0008] S2. The patient module contains a patient channel, where patients can log in and synchronize. After logging in, they can connect with the rehabilitation nursing staff connected to them by the rehabilitation connection system.
[0009] S3, Nursing Module to facilitate the connection between nursing staff and their patients, and retain data during the diagnosis process. When the nursing staff is unable to perform remote rehabilitation, the nursing module can adjust and publish information at the same time;
[0010] S4. The nursing information collection module retains data on the treatment methods and conditions during the rehabilitation process and classifies them;
[0011] S5. The operation and maintenance module analyzes whether the internal data of the system is incorrect and records abnormal situations and operation and maintenance situations;
[0012] In a preferred embodiment, S1 specifically includes: the patient module can log in and synchronize with the rehabilitation nursing staff connected to it for rehabilitation docking, the nursing staff can dock with their patients after logging in to the nursing module, and retain data during the diagnosis process. When the nursing staff is unable to perform remote rehabilitation, the nursing module can make adjustments, the nursing information collection module retains data on the treatment methods and conditions during the rehabilitation process, and the operation and maintenance module analyzes the operation status of the platform and whether the internal data is incorrect;
[0013] The S5 specifically includes: the operation and maintenance module performs algorithmic calculations on the collected data, and the analysis module inside it performs algorithmic calculations on the collected data. The analysis engine includes an information exploration module and an information algorithm module. The analysis engine analyzes the association, classification, and similar clustering of the data, and analyzes the stability rate generated by the platform, the abnormal conditions in each module, and the network stability. The information exploration module divides the task of information exploration into model definition, model training, and model use. The work done by the exploration module always revolves around the exploration model. The information exploration module uses type definition primitives, model training primitives, and model use primitives. It uses relational measurement theory. On the basis of qualitative analysis, it combines correlation tables, correlation graphs, and calculation of correlation coefficients with judgment coefficients. It uses formulas in a large number of abstract data sources to collect correlation data within the same logical correlation range as the basic data of the main analysis of intuitive information. For data modules with unclear overall fluctuation trends, the platform's data information is sorted and processed in combination with parallel algorithms for comparative analysis.
[0014] When the data comparison and analysis is normal, the operation and maintenance module will backtrack and recalculate the collected data. When the data comparison and analysis is abnormal, a processable abnormal association set will be established for the abnormal situation. For each abnormal association set, the trigger threshold of the fault is set for each element in it, and the monitoring priority and processing strategy when the fault occurs are set. The linear fluctuation modeling comparison analysis of the stability rate generated by the platform, the abnormal conditions in each module, and the network stability is analyzed. The abnormal fault association situation in the standardized data analysis results of the equipment triggers the subsequent processing strategy and analyzes the abnormal type. When the standardized data analysis results of the equipment are normal, the above process is repeated at the beginning to ensure the normal use of the platform. When the abnormal signal does not return to normal data after self-adjustment, the operation and maintenance module will send the abnormal analysis and analysis structure to the operation and maintenance personnel.
[0015] At the same time, the operation and maintenance process of the operation and maintenance personnel repairing the abnormal data is collected and recorded, and the operation and maintenance process parameters are extracted from the collected operation and maintenance process. After the operation and maintenance is completed, the operation and maintenance log is automatically generated. The abnormal data corresponding to the operation and maintenance is generated through the operation and maintenance log. The abnormal data is generated into an operation and maintenance log by the self-adjustment process, the operation and maintenance personnel, the name of the abnormal network module, the predicted operation and maintenance abnormality type, the operation and maintenance process parameters and the platform data before and after the operation and maintenance;
[0016] In a preferred embodiment, the S4 specifically includes: when the patient and the caregiver log in, the nursing information collection module starts to collect the process; when the patient or the caregiver connects, the nursing information collection module records the entire nursing process, and retains data when the caregiver needs to be replaced, as well as important messages, treatment methods and conditions, and classifies them;
[0017] In a preferred embodiment, the S2-S3 specifically include: the patient module contains a patient channel, the patient can log in and synchronize in the patient channel, and after logging in, the rehabilitation docking system can be used to conduct rehabilitation docking with the rehabilitation nurse connected to the patient. The rehabilitation nurse will use the rehabilitation docking system to understand the patient's current situation and propose a rehabilitation nursing plan to the patient based on the patient's condition. At the same time, the patient can also communicate with other patients with the same condition in the symptom discussion system and discuss the condition. At the same time, after the nurse completes the diagnosis of the patient, the information receiving system receives the nurse's diagnosis results sorted out by the nursing information collection module for the patient to save. When the nurse publishes other important events, the information receiving system prompts the patient. The patient can enter the information modification system to modify the stored erroneous information. When the nurse has major mistakes and faults, the patient can complain to the management personnel through the nursing complaint system.
[0018] When the nursing module contains a nursing channel, the nursing staff can log in and synchronize in the nursing channel. After logging in, the rehabilitation docking system can be used to connect with the patient to conduct rehabilitation docking. The rehabilitation docking system can be used to understand the patient's current situation and propose rehabilitation care plans to the patient based on the patient's condition. At the same time, the nursing staff can also communicate with other nursing staff with the same symptoms in the symptom discussion system and discuss the condition. When the nursing staff is unable to provide care, the information can be stored and a stop application can be submitted in the docking stop system. The docking stop system will replace the nursing staff for the patient they are responsible for, and the information release system will release this replacement information to the patient.
[0019] The technical effects and advantages of the present invention are as follows:
[0020] 1. The present invention starts the driver by signal control, drives the drive wheel to transmit, moves the device to the designated location for use, and the user can remotely use the panel with the docking party. The facial camera captures the user's image to facilitate more convenient face-to-face communication between doctors and patients. The operation and maintenance log storage box can store and generate logs for the records maintained by the operation and maintenance platform and the maintenance personnel. The analysis module performs an overall analysis of the internal system of the coronary heart disease remote rehabilitation nursing management platform. The self-adjustment module can restart the device to adjust the device. The abnormal collection module monitors the internal use of the system and responds when fluctuations occur. The signal transceiver module sends the abnormal information to the operation and maintenance personnel.
[0021] 2. The patient module contains a patient channel and the nursing module contains a nursing channel. Nurses and patients can log in and synchronize in the channel. After logging in, the rehabilitation docking system can be used to connect with the rehabilitation nurses connected to the rehabilitation system. The rehabilitation nurses can use the rehabilitation docking system to understand the patient's current situation and propose rehabilitation care plans to the patient based on the patient's condition. At the same time, the patient can also communicate with other patients with the same symptoms and discuss the condition in the symptom discussion system. After the nurse completes the diagnosis of the patient, the information receiving system receives the nurse's diagnosis results compiled from the nursing information collection module for the patient to save. When the nurse releases other important events, the information receiving system prompts the patient. The patient can enter the information modification system to modify the stored erroneous information. When the nurse makes a major mistake or fault, the patient can complain to the management staff through the nursing complaint system. At the same time, the nurse can communicate with other nurses with the same symptoms and discuss the condition in the symptom discussion system. When the nurse is unable to provide care, the information can be stored and a stop application can be submitted in the docking stop system. The docking stop system will replace the nurse for the patient under its responsibility, and the information release system will release this replacement information to the patient.
[0022] 3. Through the information exploration module, the information exploration task is divided into model definition, model training and model use. The platform data information is sorted and processed in combination with the parallel algorithm for comparative analysis. When the data comparative analysis is normal, the operation and maintenance module backtracks and recalculates the collected data. When the data comparative analysis is abnormal, a processable abnormal association set is established for the abnormal situation. For each abnormal association set, the trigger threshold of the fault is set for each element in it, and the monitoring priority and processing strategy when the fault occurs are set. At the same time, the operation and maintenance process of the operation and maintenance personnel repairing the abnormal data is collected and recorded, and the operation and maintenance process parameters are extracted from the collected operation and maintenance process. After the operation and maintenance is completed, the operation and maintenance log is automatically generated. The abnormal data corresponding to the operation and maintenance is generated through the operation and maintenance log. The abnormal data self-adjustment process, operation and maintenance personnel, abnormal network module name, predicted operation and maintenance abnormality type, operation and maintenance process parameters and platform data before and after operation and maintenance generate an operation and maintenance log. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Figure 1 This is a schematic diagram of the main structure of the coronary heart disease remote rehabilitation nursing management platform of the present invention;
[0024] Figure 2 This is a schematic diagram of the structure of the operation and maintenance system of the coronary heart disease remote rehabilitation nursing management platform of the present invention;
[0025] Figure 3 This is a flow chart of the coronary heart disease remote rehabilitation nursing management platform of the present invention;
[0026] Figure 4 This is a schematic diagram of the patient module process of the present invention;
[0027] Figure 5 This is a flow chart of the nursing module of the present invention;
[0028] Figure 6 This is a flow chart of the nursing information collection module of the present invention;
[0029] Figure 7 This is a flow chart of the operation and maintenance module of the present invention.
[0030] The accompanying drawings are marked as follows: 1. Main body of the coronary heart disease remote rehabilitation nursing management platform; 11. Facial camera panel; 13. Remote use panel; 14. Connecting frame; 15. Drive; 16. Driving wheel; 17. Headlight; 18. Operation and maintenance log storage box; 19. Front anti-collision plate; 2. Operation and maintenance platform; 21. Analysis module; 22. Rear anti-collision plate; 23. Self-adjustment module; 24. Abnormal collection module; 25. Signal transceiver module; 26. Voice guidance block; 27. Installation base. DETAILED DESCRIPTION
[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.
[0032] It should be noted that, unless otherwise specified, the technical or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the present invention belongs.
[0033] according to Figure 1-7 As shown, a remote rehabilitation nursing management platform for coronary heart disease includes a remote rehabilitation nursing management platform body 1 for coronary heart disease, including the following steps:
[0034] S1. A facial camera panel 11 is fixedly installed on the top of the main body 1 of the remote rehabilitation nursing management platform for coronary heart disease, a remote use panel 13 is fixedly installed on the front end of the main body 1 of the remote rehabilitation nursing management platform for coronary heart disease, a mounting base 26 is fixedly installed on the bottom of the main body 1 of the remote rehabilitation nursing management platform for coronary heart disease, a connecting frame 14 is installed on both sides of the mounting base 26, a driver 15 is fixedly installed at the end of the connecting frame 14, a driving wheel 16 is installed at the output end of the driver 15, an operation and maintenance log storage box 18 is installed on the left side of the main body 1 of the remote rehabilitation nursing management platform for coronary heart disease, the operation and maintenance platform 2 is installed at the rear output end of the main body 1 of the remote rehabilitation nursing management platform for coronary heart disease, a front bumper plate 19 and a rear bumper plate 22 are respectively installed at the front and rear ends of the mounting base 26, a headlight 17 is installed inside the front bumper plate 19, an analysis module 21 is installed above the mounting base 26, a self-adjustment module 23 is installed inside the operation and maintenance platform 2, an abnormality collection module 24 is installed on the right side of the operation and maintenance platform 2, and a signal transceiver module 25 is installed on the right side of the abnormality collection module 24.
[0035] The main body 1 of the coronary heart disease remote rehabilitation nursing management platform includes: patient module, nursing module, nursing information collection module, and operation and maintenance module;
[0036] S2. The patient module contains a patient channel, where patients can log in and synchronize. After logging in, they can connect with the rehabilitation nursing staff connected to them by the rehabilitation connection system.
[0037] S3, Nursing Module to facilitate the connection between nursing staff and their patients, and retain data during the diagnosis process. When the nursing staff is unable to perform remote rehabilitation, the nursing module can adjust and publish information at the same time;
[0038] S4. The nursing information collection module retains data on the treatment methods and conditions during the rehabilitation process and classifies them;
[0039] S5. The operation and maintenance module analyzes whether the internal data of the system is incorrect and records abnormal situations and operation and maintenance situations;
[0040] Specifically, S1 includes: by signal control of the driver 15, it starts, drives the driving wheel 16 to transmit, moves the device to the indicated location for use, and the user can use the remote panel 13 remotely with the docking party, the facial camera 11 captures the user's screen, so that the doctor and patient can communicate face to face more conveniently, the operation and maintenance log storage box 18 can store and generate logs for the records maintained by the operation and maintenance platform 2 and the maintenance personnel, the analysis module 21 performs an overall analysis of the internal system of the coronary heart disease remote rehabilitation nursing management platform main body 1, and the self-adjustment module 23 can restart the device To adjust the device, the abnormal collection module 24 monitors the internal use of the system and responds when fluctuations occur. The signal transceiver module 25 sends the abnormal information to the operation and maintenance personnel. The patient module can be logged in and synchronized with the rehabilitation nursing staff connected to it for rehabilitation docking. After logging into the nursing module, the nursing staff will dock with their patients and retain the data during the diagnosis process. When the nursing staff cannot perform remote rehabilitation, the nursing module can be adjusted. The nursing information collection module retains data on the treatment methods and conditions during the rehabilitation process. The operation and maintenance module analyzes the operation of the platform and whether the internal data is incorrect.
[0041] Specifically, S5 includes: the operation and maintenance module performs algorithmic calculations on the collected data, and the analysis module 21 inside it performs algorithmic calculations on the collected data. The analysis engine includes an information exploration module and an information algorithm module. The analysis engine analyzes the association, classification, and similar clustering of the data, and analyzes the stability rate generated by the platform, the abnormal conditions in each module, and the network stability. The information exploration module divides the information exploration tasks into model definition, model training, and model use. The work done by the exploration module always revolves around the exploration model. The information exploration module uses type definition primitives, model training primitives, and model use primitives. It uses relational measurement theory. On the basis of qualitative analysis, through correlation tables, correlation graphs, and calculation of correlation coefficients and judgment coefficients, formulas are used in a large number of abstract data sources to collect correlation data within the same logical correlation range as the basic data of the main analysis of intuitive information. For data modules with unclear overall fluctuation trends, the platform's data information is sorted and processed in combination with parallel algorithms for comparative analysis.
[0042] When the data comparison and analysis is normal, the operation and maintenance module will backtrack and recalculate the collected data. When the data comparison and analysis is abnormal, a processable abnormal association set will be established for the abnormal situation. For each abnormal association set, the trigger threshold of the fault is set for each element in it, and the monitoring priority and processing strategy when the fault occurs are set. The linear fluctuation modeling comparison analysis of the stability rate generated by the platform, the abnormal conditions in each module, and the network stability is analyzed. The abnormal fault association situation in the standardized data analysis results of the equipment triggers the subsequent processing strategy and analyzes the abnormal type. When the standardized data analysis results of the equipment are normal, the above process is repeated at the beginning to ensure the normal use of the platform. When the abnormal signal does not return to normal data after self-adjustment, the operation and maintenance module will send the abnormal analysis and analysis structure to the operation and maintenance personnel.
[0043] At the same time, the operation and maintenance process of the operation and maintenance personnel repairing the abnormal data is collected and recorded, and the operation and maintenance process parameters are extracted from the collected operation and maintenance process. After the operation and maintenance is completed, the operation and maintenance log is automatically generated, and the abnormal data corresponding to the operation and maintenance is generated through the operation and maintenance log. The abnormal data self-adjustment process, operation and maintenance personnel, abnormal network module name, predicted operation and maintenance abnormality type, operation and maintenance process parameters and platform data before and after operation and maintenance generate an operation and maintenance log.
[0044] Specifically, S4 includes: when the patient and the caregiver log in, the nursing information collection module begins to collect their process; when the patient or the caregiver connects, the nursing information collection module records the entire nursing process, and retains data on important messages, treatment methods and situations when the caregiver needs to be replaced, and classifies them.
[0045] See also Figure 1-7 As shown, as another embodiment of the present analysis method, the S2-S3 specifically includes: the patient module contains a patient channel, the patient can log in and synchronize in the patient channel, and after logging in, the rehabilitation docking system can be used to conduct rehabilitation docking with the rehabilitation nurse connected to the patient, and the rehabilitation staff can use the rehabilitation docking system to understand the patient's current situation and propose a rehabilitation care plan to the patient according to the patient's condition. At the same time, the patient can also communicate with other patients with the same condition in the symptom discussion system and discuss the condition. At the same time, after the nurse completes the diagnosis of the patient, the information receiving system receives the nurse's diagnosis results sorted out by the nursing information collection module for the patient to save. When the nurse releases other important events, the information receiving system prompts the patient. The patient can enter the information modification system to modify the stored erroneous information. When the nurse has major mistakes and faults, the patient can complain to the management personnel through the nursing complaint system.
[0046] When the nursing module contains a nursing channel, the nursing staff can log in and synchronize in the nursing channel. After logging in, the rehabilitation docking system can be used to connect with the patient to conduct rehabilitation docking. The rehabilitation docking system can be used to understand the patient's current situation and propose rehabilitation care plans to the patient based on the patient's condition. At the same time, the nursing staff can also communicate with other nursing staff with the same symptoms in the symptom discussion system and discuss the condition. When the nursing staff is unable to provide care, the information can be stored and a stop application can be submitted in the docking stop system. The docking stop system will replace the nursing staff for the patient they are responsible for, and the information release system will release this replacement information to the patient.
[0047] This analysis method provides a scientific, efficient and intelligent analysis theory for the operation of large-scale enterprise information systems:
[0048] By controlling the driver 15 with a signal, it is started and the driving wheel 16 is driven to transmit the power. The device is moved to the designated location for use. The user can use the remote panel 13 to remotely use the device with the docking party. The facial camera 11 captures the user's image to facilitate more convenient face-to-face communication between doctors and patients. The operation and maintenance log storage box 18 can store and generate logs for the maintenance records of the operation and maintenance platform 2 and the maintenance personnel. The analysis module 21 performs an overall analysis of the internal system of the coronary heart disease remote rehabilitation nursing management platform body 1. The self-adjustment module 23 can restart the device to adjust the device. The abnormality collection module 24 monitors the internal use of the system and responds when fluctuations occur. The signal transceiver module 25 sends the abnormal information to the operation and maintenance personnel.
[0049] The patient module contains a patient channel, and the patient can log in and synchronize in the patient channel. After logging in, the rehabilitation docking system can be used to connect with the rehabilitation nurse connected to the patient. The rehabilitation nurse can use the rehabilitation docking system to understand the patient's current situation and propose a rehabilitation care plan to the patient based on the patient's condition. At the same time, the patient can also communicate with other patients with the same condition in the symptom discussion system and discuss the condition. At the same time, after the nurse completes the diagnosis of the patient, the information receiving system receives the nurse's diagnosis results sorted out by the nursing information collection module for the patient to save. When the nurse releases other important events, the information receiving system prompts the patient. The patient can enter the information modification system to modify the stored erroneous information. When the nurse has major mistakes and faults, the patient can complain to the management personnel through the nursing complaint system.
[0050] When the nursing module contains a nursing channel, the nursing staff can log in and synchronize in the nursing channel. After logging in, the rehabilitation docking system can be used to connect with the patient to conduct rehabilitation docking. The rehabilitation docking system can be used to understand the patient's current situation and propose rehabilitation nursing plans to the patient according to the patient's condition. At the same time, the nursing staff can also communicate with other nursing staff with the same condition in the symptom discussion system and discuss the condition. When the nursing staff is unable to provide care, the docking stop system can store information and submit a stop application. The docking stop system will replace the nursing staff for the patient under its responsibility, and the information release system will release this replacement information to the patient.
[0051] When the patient and the caregiver log in, the nursing information collection module begins to collect their process. When the patient or the caregiver connects, the nursing information collection module records the entire nursing process, and retains and categorizes the data when the caregiver needs to be replaced, as well as important messages, treatment methods and conditions.
[0052] At the same time, the operation and maintenance module performs algorithmic calculations on the collected data, and its internal analysis module 21 performs algorithmic calculations on the collected data. The analysis engine includes an information exploration module and an information algorithm module. The analysis engine analyzes the association, classification, and similar clustering of the data, and analyzes the stability rate generated by the platform, the abnormal conditions in each module, and the stability of the network. The information exploration module divides the task of information exploration into model definition, model training, and model use. The work done by the exploration module always revolves around the exploration model. The information exploration module uses type definition primitives, model training primitives, and model use primitives, and uses relational measurement theory. On the basis of qualitative analysis, through correlation tables, correlation graphs, and calculation of correlation coefficients and judgment coefficients, formulas are used in a large number of abstract data sources to collect correlation data within the same logical correlation range as the basic data of the main analysis of intuitive information. For data modules with unclear overall fluctuation trends, the platform's data information is sorted and processed in combination with parallel algorithms for comparative analysis.
[0053] When the data comparison and analysis is normal, the operation and maintenance module will backtrack and recalculate the collected data. When the data comparison and analysis is abnormal, a processable abnormal association set will be established for the abnormal situation. For each abnormal association set, the trigger threshold of the fault is set for each element in it, and the monitoring priority and processing strategy when the fault occurs are set. The linear fluctuation modeling comparison analysis of the stability rate generated by the platform, the abnormal conditions in each module, and the network stability is analyzed. The abnormal fault association situation in the standardized data analysis results of the equipment triggers the subsequent processing strategy and analyzes the abnormal type. When the standardized data analysis results of the equipment are normal, the above process is repeated at the beginning to ensure the normal use of the platform. When the abnormal signal does not return to normal data after self-adjustment, the operation and maintenance module will send the abnormal analysis and analysis structure to the operation and maintenance personnel.
[0054] At the same time, the operation and maintenance process of the operation and maintenance personnel repairing the abnormal data is collected and recorded, and the operation and maintenance process parameters are extracted from the collected operation and maintenance process. After the operation and maintenance is completed, the operation and maintenance log is automatically generated, and the abnormal data corresponding to the operation and maintenance is generated through the operation and maintenance log. The abnormal data self-adjustment process, operation and maintenance personnel, abnormal network module name, predicted operation and maintenance abnormality type, operation and maintenance process parameters and platform data before and after operation and maintenance generate an operation and maintenance log.
[0055] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.
Claims
1. A coronary heart disease remote rehabilitation nursing management platform, comprising a coronary heart disease remote rehabilitation nursing management platform body (1), characterized in that: The steps include: S1. A facial camera plate (11) is fixedly installed on the top of the main body (1) of the coronary heart disease remote rehabilitation nursing management platform. A remote use panel (13) is fixedly installed on the front end of the main body (1) of the coronary heart disease remote rehabilitation nursing management platform. A mounting base (26) is fixedly installed on the bottom of the main body (1) of the coronary heart disease remote rehabilitation nursing management platform. Connecting frames (14) are installed on both sides of the mounting base (26). A driver (15) is fixedly installed at the end of the connecting frame (14). A driving wheel (16) is installed at the output end of the driver (15). The operation and maintenance log storage box (18) is installed on the coronary heart disease remote rehabilitation nursing management platform. The operation and maintenance platform (2) is installed on the left side of the main body (1) of the coronary heart disease remote rehabilitation nursing management platform, the operation and maintenance platform (2) is installed at the rear output end of the main body (1) of the coronary heart disease remote rehabilitation nursing management platform, the front anti-collision plate (19) and the rear anti-collision plate (22) are installed at the front and rear ends of the installation base (26) respectively, the front anti-collision plate (19) is installed with a headlight (17) inside, the upper part of the installation base (26) is installed with an analysis module (21), the operation and maintenance platform (2) is installed with a self-adjustment module (23), the right side of the operation and maintenance platform (2) is installed with an abnormality collection module (24), and the right side of the abnormality collection module (24) is installed with a signal transceiver module (25), The main body of the coronary heart disease remote rehabilitation nursing management platform (1) includes: patient module, nursing module, nursing information collection module, and operation and maintenance module; S2. The patient module contains a patient channel, in which the patient can log in and synchronize. After logging in, the rehabilitation docking system can be used to dock with the rehabilitation nursing staff connected to the patient. S3, Nursing module is used to facilitate the connection between nursing staff and their patients, and to retain data during the diagnosis process. When the nursing staff cannot perform remote rehabilitation, the nursing module can make adjustments and publish information at the same time; S4, the nursing information collection module retains data on the treatment methods and conditions during the rehabilitation process and classifies them; S5. The operation and maintenance module analyzes whether there are any errors in the internal data of the system, and records and retains abnormal situations and operation and maintenance situations.
2. A coronary heart disease remote rehabilitation nursing management platform according to claim 1, characterized in that The S1 specifically includes: the patient module can log in and synchronize with the rehabilitation nursing staff connected to it for rehabilitation docking, the nursing staff can dock with its patients after logging in to the nursing module, and retain data during the diagnosis process. When the nursing staff cannot perform remote rehabilitation, the nursing module can make adjustments, the nursing information collection module retains data on the treatment methods and conditions during the rehabilitation process, and the operation and maintenance module analyzes the operation of the platform and whether the internal data is incorrect; The S5 includes: the operation and maintenance module performs algorithmic calculations on the collected data, and the analysis module inside it performs algorithmic calculations on the collected data. The analysis engine includes an information exploration module and an information algorithm module. The analysis engine analyzes the association, classification, and similar aggregation of data, and analyzes the stability rate generated by the platform, the abnormal situations in each module, and the network stability. The information exploration module divides the task of information exploration into model definition, model training, and model use. The work done by the exploration module always revolves around the exploration model. The information exploration module uses type definition primitives, model training primitives, and model use primitives. It uses relationship measurement theory. On the basis of qualitative analysis, it combines correlation tables, correlation graphs, and calculation of correlation coefficients with judgment coefficients. It uses formulas to collect correlation data within the same logical correlation range as the basic data of the main analysis of intuitive information in a large number of abstract data sources. For data modules with unclear overall fluctuation trends, the platform's data information is sorted and processed in combination with parallel algorithms for comparative analysis. When the data comparison and analysis is normal, the operation and maintenance module backtracks and recalculates the collected data. When the data comparison and analysis is abnormal, a processable abnormal association set is established for the abnormal situation. For each abnormal association set, the trigger threshold of the fault is set for each element in it, and the monitoring priority and processing strategy when the fault occurs are set. The linear fluctuation modeling comparison analysis of the stability rate generated by the platform, the abnormal conditions in each module, and the network stability is analyzed. The abnormal fault association situation in the standardized data analysis results of the equipment triggers the subsequent processing strategy, and analyzes the abnormal type. When the standardized data analysis results of the equipment are normal, it returns to the beginning stage and repeats the above process to ensure the normal use of the platform. When the abnormal signal does not recover to normal data after self-adjustment, the operation and maintenance module will send the abnormal analysis and analysis structure to the operation and maintenance personnel. At the same time, the operation and maintenance process of the operation and maintenance personnel repairing the abnormal data is collected and recorded, and the operation and maintenance process parameters are extracted from the collected operation and maintenance process. After the operation and maintenance is completed, the operation and maintenance log is automatically generated, and the abnormal data corresponding to the operation and maintenance is generated through the operation and maintenance log. The abnormal data is self-adjusted by the process, operation and maintenance personnel, abnormal network module name, predicted operation and maintenance abnormality type, operation and maintenance process parameters, and platform data before and after the operation and maintenance to generate an operation and maintenance log; The S4 includes: when the patient and the nursing staff log in, the nursing information collection module starts to collect the process; when the patient or the nursing staff connects, the nursing information collection module records the entire nursing process, when the nursing staff needs to be replaced, and when the important messages, treatment methods and situations are released, the data are retained and classified; The coronary heart disease remote rehabilitation nursing management platform according to claim 1 is characterized in that: The S2-S3 specifically include: the patient module contains a patient channel, and the patient can log in and synchronize in the patient channel. After logging in, the rehabilitation docking system can be used to conduct rehabilitation docking with the rehabilitation nursing staff connected to the patient. The rehabilitation staff can learn about the patient's current situation through the rehabilitation docking system and propose rehabilitation nursing plans to the patient according to the patient's condition. At the same time, the patient can also communicate with other patients with the same symptoms in the symptom discussion system and discuss the condition. At the same time, after the nursing staff diagnoses the patient, the information receiving system receives the nursing staff's diagnosis results sorted out by the nursing information collection module for the patient to save. When the nursing staff releases other important events, the information receiving system prompts the patient. The patient can enter the information modification system to modify the stored erroneous information. When the nursing staff has major mistakes and faults, the patient can complain to the management personnel through the nursing complaint system; When the nursing module contains a nursing channel, the nursing staff can log in and synchronize in the nursing channel. After logging in, the rehabilitation docking system can be used to conduct rehabilitation docking with the patient to which the nursing staff is connected. The rehabilitation docking system can be used to understand the patient's current condition and propose rehabilitation care plans to the patient based on the patient's condition. At the same time, the nursing staff can also communicate with other nursing staff with the same condition in the symptom discussion system and discuss the condition. When the nursing staff is unable to provide care, the information can be stored and a stop application can be submitted in the docking stop system. The docking stop system will replace the nursing staff for the patient under its responsibility, and the information release system will release this replacement information to the patient.