A management method and system applied to smart health

Abstract

The present invention is applicable to the technical field of health management, and particularly relates to a management system and method applied to intelligent health. The method includes: S100: Obtain intelligent health data, divide it into several single items, find out the collection devices corresponding to each single item, create data blocks corresponding one by one to the single items, read the real-time parameters of the collection devices, update the data blocks, and cluster the data blocks into several disease courses; S200: Define a starting moment, define the real-time readings of the data blocks at the starting moment as starting readings, set a monitoring period, and after the monitoring period. By creating a management tree, the present invention can use standard blocks to adjust the device items of abnormal blocks, so that users in the later disease course can adjust the device parameters of patients in the previous disease course according to their own experience and feelings, help users in the previous disease course avoid treatment misunderstandings, improve the device use efficiency, and promote the intelligent and personalized development of health management.

Description

Technical Field

[0001] The present invention relates to the technical field of health management, and in particular to a management system and method applied to smart health. Background Art

[0002] Smart health requires the use of sensors or Internet of Things devices, etc., to collect data such as users' blood pressure, blood sugar, exercise volume, and electrocardiogram. This usually requires relying on various hardware devices (such as smart bracelets, thermometers, blood glucose meters, sphygmomanometers, and smart mattresses, etc.). Due to the large number of devices and different operation methods, it may cause resistance among some elderly users and affect the use efficiency.

[0003] The course of a disease refers to the entire development process of the disease from the beginning to the end, which at least includes multiple stages such as initiation, development, remission, and recovery from front to back; therefore, "how to let users in the later course of the disease handle the adjustment requests of users in the previous course of the disease" is the technical problem to be solved by the present invention. Summary of the Invention

[0004] The purpose of the present invention is to provide a management method and system applied to smart health to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A management method and system applied to smart health, the method includes:

[0007] S100: Obtain smart health data, divide it into several single items, find out the collection devices corresponding to each single item, create data blocks corresponding one by one to the single items, read the real-time parameters of the collection devices, update the data blocks, and cluster the data blocks into several disease courses;

[0008] S200: Define a starting moment, define the real-time reading of the data block at the starting moment as the starting reading, set a monitoring period, and after the monitoring period, define the real-time reading of the data block as the ending reading, and calculate the difference between the starting reading and the ending reading;

[0009] S300: Construct an evaluation rule, configure the corresponding relationship between the evaluation rule and the single item, use the difference value to select standard blocks and abnormal blocks from each disease course, generate mutual assistance pairs, create a management tree, and embed an inclination mechanism into the management tree, mount the standard blocks on the left side of the management tree, and mount the abnormal blocks on the right side of the management tree;

[0010] S400: Receive an adjustment request initiated by the abnormal block based on a preset physical button, where the adjustment request includes a data item and a device item, send the adjustment request to the mutual assistance pair, and determine whether it has been read;

[0011] If so, establish an internal communication link for mutual assistance, initiate a conversation, and grant the mutual assistance pair the permission to adjust device items.

[0012] If not, tilt the management tree, define a randomly popped standard block in the management tree as the target block, and establish a communication link between the target block and an abnormal block within the mutual assistance pair.

[0013] Further, the S100 includes:

[0014] Configure the relevance between the digital blocks, integrate the relevance, disease course, and evaluation rules to generate an evaluation report, and send the evaluation report to the terminal corresponding to the abnormal block.

[0015] Build a sharing platform, use the evaluation report to traverse diagnostic suggestions, and integrate the diagnostic suggestions into the conversation.

[0016] Further, the S200 includes:

[0017] Taking the current time as the abscissa and real-time parameters as the ordinate, draw a trend chart of the intelligent health data.

[0018] Integrate multi-level threshold lines into the trend chart and build an emergency strategy.

[0019] Further, the S300 includes:

[0020] In the sharing platform, create a friend list, search for standard blocks, and generate mutual assistance pairs.

[0021] Use the mutual assistance pairs to generate links and insert the links into the management tree.

[0022] Further, the S400 includes:

[0023] Configure a fluctuation range and establish a mapping between the fluctuation range and the disease course.

[0024] Based on the fluctuation range, divide the digital blocks into standard blocks and abnormal blocks and establish a transition mechanism.

[0025] Further, the S300 further includes:

[0026] According to the disease course of the abnormal blocks, determine the priority of each abnormal block, where the priorities include: high, medium, and low.

[0027] Determine the number of links corresponding to each priority and adjust the mutual assistance pairs.

[0028] Further, the method further includes:

[0029] Select authorized personnel from the shared platform, where the authorized personnel include at least: medical staff and professional volunteers;

[0030] Insert a root node into the management tree, upload the adjustment request to the root node, and adjust the sending end of the communication link to the root node.

[0031] Further, the system includes:

[0032] A clustering module, used to obtain smart health data, split it into several items, find the corresponding collection devices for each item, create data blocks corresponding one-to-one to the items, read the real-time parameters of the collection devices, update the data blocks, and cluster the data blocks into several disease courses;

[0033] A calculation module, used to define a starting time, define the real-time reading of the data block at the starting time as the starting reading, set a monitoring period, and after the monitoring period, define the real-time reading of the data block as the ending reading, and calculate the difference between the starting reading and the ending reading;

[0034] A mounting module, used to construct an evaluation rule, configure the corresponding relationship between the evaluation rule and the item, use the difference to select standard blocks and abnormal blocks from each disease course, generate mutual assistance pairs, create a management tree, and embed an inclination mechanism into the management tree, mount the standard blocks on the left side of the management tree, and mount the abnormal blocks on the right side of the management tree;

[0035] A judgment module, used to receive an adjustment request initiated by the abnormal block based on a preset physical button, where the adjustment request includes a data item and a device item, send the adjustment request to the mutual assistance pair, and judge whether it has been read;

[0036] If so, build a communication link within the mutual assistance pair, establish a conversation, and open the adjustment permission of the device item to the mutual assistance pair;

[0037] If not, tilt the management tree, define a randomly popped standard block in the management tree as the target block, and build a communication link between the target block and the abnormal block within the mutual assistance pair.

[0038] Further, the clustering module includes:

[0039] A sending unit, used to configure the relevance between the data blocks, integrate the relevance, disease course, and evaluation rule, generate an evaluation report, and send the evaluation report to the terminal corresponding to the abnormal block;

[0040] An adding unit, used to construct a shared platform, use the evaluation report to traverse diagnostic suggestions, and integrate the diagnostic suggestions into the conversation.

[0041] Further, the calculation module includes:

[0042] A drawing unit, configured to draw a change trend graph of the intelligent health data with the current moment as the abscissa and the real-time parameter as the ordinate;

[0043] A construction unit, configured to integrate multi-level threshold lines into the change trend graph and construct an emergency strategy.

[0044] Compared with the prior art, the beneficial effects of the present invention are:

[0045] By dividing the intelligent health data into several individual items, it is possible to perform refined management on the intelligent health data, reduce the complexity of overall data processing, improve data processing efficiency. By creating data blocks, the accuracy of device parameter adjustment can be improved. By creating a management tree, it is possible to adjust the device items of abnormal blocks using standard blocks, so that users in the later stage of the disease can adjust the device parameters of patients in the previous stage according to their own experience and feelings, help users in the previous stage avoid treatment misunderstandings, improve the usage efficiency of devices, and promote the intelligent and personalized development of health management. Description of the Drawings

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0047] Figure 1 It is a flowchart of the management method applied to intelligent health provided by an embodiment of the present invention.

[0048] Figure 2 It is a first sub-flowchart of the management method applied to intelligent health provided by an embodiment of the present invention.

[0049] Figure 3 It is a second sub-flowchart of the management method applied to intelligent health provided by an embodiment of the present invention.

[0050] Figure 4 It is a third sub-flowchart of the management method applied to intelligent health provided by an embodiment of the present invention.

[0051] Figure 5 It is a fourth sub-flowchart of the management method applied to intelligent health provided by an embodiment of the present invention.

[0052] Figure 6 It is a block diagram of the composition of the management system applied to intelligent health provided by an embodiment of the present invention.

[0053] Figure 7 It is a block diagram of the composition of the clustering module in the management system applied to intelligent health provided by an embodiment of the present invention.

[0054] Figure 8 It is a block diagram of the composition of the calculation module in the management system applied to smart health provided by the embodiments of the present invention.

[0055] Figure 9 It is a block diagram of the composition of the mounting module in the management system applied to smart health provided by the embodiments of the present invention.

[0056] Figure 10 It is a block diagram of the composition of the judgment module in the management system applied to smart health provided by the embodiments of the present invention. Detailed implementation manners

[0057] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0058] Figure 1 It is a general flow block diagram of the management method and system applied to smart health. In the embodiments of the present invention, a management method applied to smart health, the method includes:

[0059] S100: Obtain smart health data, and divide it into several items, find out the collection device corresponding to each item, create data blocks corresponding one-to-one to the items, read the real-time parameters of the collection device, update the data blocks, and cluster the data blocks into several disease courses.

[0060] Divide the smart health data into multiple items. For example, divide the smart health data of user A into items such as blood glucose item, blood pressure item and heart rate item, etc.; determine the collection device corresponding to each item, that is, blood glucose meter, blood pressure detector, heart rate detector and electrocardiogram device, etc.; create a data block for each item of each user, where the data block is the basic structure for storing the real-time parameters of the collection device; transfer the real-time parameters obtained by the collection device into the data block and update the data block in real time; determine the disease course corresponding to each data block according to the real-time parameters and their fluctuations.

[0061] For example, in the data block corresponding to the blood glucose of user B, the higher the blood glucose value, the later the corresponding disease course. Then, according to the fluctuation of the blood glucose, the disease course of user B is adjusted again. If the blood glucose fluctuates greatly, the disease course is also more backward.

[0062] S200: Define a starting moment, and define the real-time reading of the data block at the starting moment as the starting reading, set a monitoring period, and after the monitoring period, define the real-time reading of the data block as the ending reading, and calculate the difference between the starting reading and the ending reading.

[0063] Define a certain moment as the starting moment, determine the real-time readings of each data block as the starting readings, set the monitoring period, determine the ending readings, and calculate the difference; among them, the starting moment can be specified by the user, while the monitoring period should be specified by professionals.

[0064] S300: Construct an evaluation rule, configure the corresponding relationship between the evaluation rule and the single item, use the difference to select the standard block and the abnormal block from each disease course, generate a mutual assistance pair, create a management tree, and embed an inclination mechanism into the management tree, mount the standard block on the left side of the management tree, and mount the abnormal block on the right side of the management tree.

[0065] Create an evaluation rule for each single item. The evaluation rule is the specific evaluation method of each single item for the difference; for example, continuing with the above S100, taking the data block corresponding to user B's blood sugar as an example, user B's blood sugar value is 11 mmol / L, and after a period of time, it drops to 10.3 mmol / L. Among them, 11 mmol / L is the starting reading, 10.3 mmol / L is the ending reading, and the difference is 0.7 mmol / L; although user B's blood sugar value exceeds the normal fluctuation range, but it is in a downward state, the data block corresponding to user B can be determined as the standard block. And there is another user C, whose blood sugar value is 7.2 mmol / L and is in an upward state, then the data block corresponding to user C's blood sugar is the abnormal block. Pair user B and user C and generate a mutual assistance pair.

[0066] Mount the standard block and the abnormal block on both sides of the management tree respectively, and embed an inclination mechanism into the management tree. The inclination mechanism is: when the adjustment request of any abnormal block in the right side of the management tree is not responded within the preset time period, the management tree is inclined.

[0067] Among them, the management tree is a tree-like data structure, which is divided into left and right parts. If the adjustment request sent by the abnormal block in the right side of the management tree is not timely responded by the paired standard block, the management tree will be inclined, and after the inclination, any standard block is popped out from the left side of the management tree until the adjustment request can be processed.

[0068] S400: Receive the adjustment request sent by the abnormal block. The adjustment request includes a data item and a device item, send the adjustment request into the mutual assistance pair, and judge whether it has been read;

[0069] If so, build a communication link within the mutual assistance pair, establish a conversation, and open the adjustment permission of the device item to the mutual assistance pair;

[0070] If not, incline the management tree, define the randomly popped standard block in the management tree as the target block, and build a communication link between the target block and the abnormal block within the mutual assistance pair.

[0071] Send the adjustment request of the abnormal block to the standard block within the mutual assistance pair, and determine whether the standard block has been read. If so, establish a communication link between the standard block and the abnormal block within the mutual assistance block for the standard block to process the adjustment request. The specific processing includes directly adjusting the device parameters of the acquisition device corresponding to the abnormal block and establishing a conversation, etc. If the standard block in the mutual assistance pair has not been read, randomly pop up another standard block from the management tree and define it as the target block.

[0072] Continuing with the mutual assistance pair in S300 as an example, when Bing sends an adjustment request (where the adjustment request should include Bing's real-time blood glucose block data and the usage parameters of the blood glucose meter, etc.), send the adjustment request to Yi. If Yi has not read it, pop up any standard block from the management tree, establish a communication link between this standard block and Bing, and establish a conversation. The user corresponding to this standard block directly adjusts the device parameters of Bing's blood glucose meter, and at the same time establishes a conversation to provide treatment experience for Bing.

[0073] In Embodiment 2, Figure 2 The implementation process of the management method applied to smart health provided by the embodiment of the present invention is shown. The following details S100 as follows:

[0074] S101: Configure the relevance between the number blocks, integrate the relevance, disease course, and evaluation rules to generate an evaluation report, and send the evaluation report to the terminal corresponding to the abnormal block.

[0075] Generate an evaluation report according to the relevance between the number blocks. The evaluation report is similar to a physical examination report and send the evaluation report to the terminal of the user corresponding to the abnormal block.

[0076] S102: Build a shared platform, use the evaluation report to traverse diagnostic suggestions, and integrate the diagnostic suggestions into the conversation.

[0077] Build a shared platform, upload the evaluation report to the shared platform; through keyword retrieval or semantic recognition algorithms, etc., traverse diagnostic suggestions from the existing data and add the diagnostic suggestions to the conversation.

[0078] In Embodiment 3, Figure 3 The implementation process of the management method applied to smart health provided by the embodiment of the present invention is shown. The following details S200 as follows:

[0079] S201: Use the current moment as the abscissa and the real-time parameters as the ordinate to draw a change trend graph of smart health data.

[0080] Use time as the abscissa and each number block as the ordinate to draw a change trend graph of smart health data, where each number block corresponds to a change trend graph.

[0081] S202: Integrate multi - level threshold lines into the said trend chart and construct emergency strategies.

[0082] Add multi - level threshold lines to the trend chart, where the multi - level threshold lines consist of multiple thresholds, and determine a corresponding emergency strategy for each threshold; for example, when the trend chart corresponding to blood glucose reaches the first threshold line, send prompt information about healthy diet and lifestyle to the user, when it reaches the second threshold line, send warning information to the user, and when it reaches the third threshold line, immediately contact a doctor or medical staff.

[0083] In Embodiment 4, Figure 4 The implementation process of the management method applied to smart health provided by the embodiment of the present invention is shown. The following details S300 as follows:

[0084] S301: In the said sharing platform, create a friend list, search for standard blocks, and generate mutual - assistance pairs.

[0085] In the sharing platform, traverse the connections between users, establish friendship relationships, and generate a friend list; if the digital blocks corresponding to a user are abnormal blocks, select standard blocks from the user's friend list and generate mutual - assistance pairs.

[0086] S302: Use the mutual - assistance pairs to generate links and insert the links into the management tree.

[0087] Link the standard blocks and abnormal blocks within the mutual - assistance blocks.

[0088] In Embodiment 5, Figure 5 The implementation process of the management method applied to smart health provided by the embodiment of the present invention is shown. The following details S400 as follows:

[0089] S401: Configure a fluctuation range and establish a mapping between the fluctuation range and the disease course.

[0090] Determine the fluctuation range according to different disease courses; for example, during the blood - glucose treatment stage, the fluctuation range of digital blocks may be larger, while during the stable period after the treatment, the fluctuation range of digital blocks may be smaller.

[0091] S402: Based on the fluctuation range, divide the digital blocks into standard blocks and abnormal blocks and establish a transition mechanism.

[0092] Divide the digital blocks into standard blocks and abnormal blocks according to the fluctuation range, define the digital blocks outside the fluctuation range as abnormal blocks, and define the digital blocks within the fluctuation range as standard blocks; establish a transition mechanism, where the transition mechanism is to dynamically update the digital blocks. When an abnormal block gradually falls back within the fluctuation range, re - define it as a standard block.

[0093] In Embodiment 6, Figure 5 The implementation process of the management method applied to intelligent health provided by the embodiment of the present invention is shown. The following details S400 as follows:

[0094] S403: Determine the priority of each abnormal block according to the course of the abnormal block, where the priority includes: high, medium, and low.

[0095] Determine the priority of each abnormal block, where the priority is divided into high, medium, and low.

[0096] S404: Determine the number of links corresponding to each priority, and adjust the mutual assistance pairs.

[0097] Different priorities correspond to different numbers of links. The abnormal blocks with high priority correspond to more links. In other words, when an abnormal block with high priority sends an adjustment request, it will be sent to multiple standard blocks at the same time so as to be able to respond to the adjustment request in time.

[0098] In Embodiment 7, different from Embodiment 1, in the embodiment of the present invention, the method further includes:

[0099] Select authorized personnel from the shared platform, where the authorized personnel at least include: medical staff, professional volunteers;

[0100] Insert a root node into the management tree, upload the feedback data to the root node, and adjust the sending end of the communication link to the root node.

[0101] Insert a root node into the middle of the management tree. The root node is mainly used to overall manage all data blocks and at the same time process adjustment requests that have not been responded to in time. In addition to allowing users with later courses to adjust the device parameters of users with earlier courses, medical staff, professional volunteers, etc. can also adjust the acquisition devices for users with earlier courses.

[0102] Figure 6 The composition structure block diagram of the management system applied to intelligent health provided by the embodiment of the present invention is shown. The management system 1 applied to intelligent health includes:

[0103] A clustering module 11, configured to obtain intelligent health data, split it into several items, find the acquisition device corresponding to each item, create a data block corresponding to each item one by one, read the real-time parameters of the acquisition device, update the data block, and cluster the data block into several courses;

[0104] The calculation module 12 is used to define the starting time, define the real-time reading of the number block at the starting time as the starting reading, set the monitoring period, and after the monitoring period, define the real-time reading of the number block as the ending reading, and calculate the difference between the starting reading and the ending reading;

[0105] The mounting module 13 is used to construct an evaluation rule, configure the corresponding relationship between the evaluation rule and the single item, use the difference value to select the standard block and the abnormal block from each disease course, generate a mutual assistance pair, create a management tree, and embed an inclination mechanism into the management tree, mount the standard block on the left side of the management tree, and mount the abnormal block on the right side of the management tree;

[0106] The judgment module 14 is used to receive an adjustment request initiated by the abnormal block based on a preset physical button, where the adjustment request includes a data item and a device item, send the adjustment request into the mutual assistance pair, and judge whether it has been read;

[0107] If so, build a communication link within the mutual assistance pair, establish a conversation, and open the adjustment permission of the device item to the mutual assistance pair;

[0108] If not, tilt the management tree, define the standard block randomly popped up in the management tree as the target block, and build a communication link between the target block and the abnormal block within the mutual assistance pair.

[0109] Figure 7 The block diagram of the composition of the management system applied to smart health provided by the embodiment of the present invention is shown. The clustering module 11 includes:

[0110] The sending unit 111 is used to configure the relevance between the number blocks, integrate the relevance, disease course and evaluation rule, generate an evaluation report, and send the evaluation report to the terminal corresponding to the abnormal block;

[0111] The adding unit 112 is used to construct a sharing platform, use the evaluation report to traverse the diagnostic suggestions, and integrate the diagnostic suggestions into the conversation.

[0112] Figure 8 The block diagram of the composition of the management system applied to smart health provided by the embodiment of the present invention is shown. The calculation module 12 includes:

[0113] The drawing unit 121 is used to draw a change trend chart of smart health data with the current time as the abscissa and the real-time parameter as the ordinate;

[0114] The constructing unit 122 is used to integrate multi-level threshold lines into the change trend chart and construct an emergency strategy.

[0115] Figure 9The following shows the block diagram of the composition of the management system for intelligent health provided by the embodiments of the present invention. The mounting module 13 includes:

[0116] A generating unit 131, configured to create a friend list in the shared platform, find out standard blocks, and generate mutual assistance pairs;

[0117] An inserting unit 132, configured to generate a link by using the mutual assistance pairs, and insert the link into the management tree.

[0118] Figure 10 The following shows the block diagram of the composition of the management system for intelligent health provided by the embodiments of the present invention. The judging module 14 includes:

[0119] A mapping unit 141, configured to configure a fluctuation range and establish a mapping between the fluctuation range and the disease course;

[0120] An establishing unit 142, configured to divide the data blocks into standard blocks and abnormal blocks according to the fluctuation range, and establish a transition mechanism;

[0121] A determining unit 143, configured to determine the priority of each abnormal block according to the disease course of the abnormal block, where the priority includes: high, medium, and low;

[0122] An adjusting unit 144, configured to determine the number of links corresponding to each priority, and adjust the mutual assistance pairs.

[0123] Wherein, the clustering module 11 is mainly used to complete step S100, the calculating module 12 is mainly used to complete step S200, the mounting module 13 is mainly used to complete step S300, and the judging module 14 is mainly used to complete step S400;

[0124] A sending unit 111 is mainly used to complete step S101, and an adding unit 112 is mainly used to complete step S102;

[0125] A drawing unit 121 is mainly used to complete step S201, and a constructing unit 122 is mainly used to complete step S202;

[0126] A generating unit 131 is mainly used to complete step S301, and an inserting unit 132 is mainly used to complete step S302;

[0127] A mapping unit 141 is mainly used to complete step S401, an establishing unit 142 is mainly used to complete step S402, a determining unit 143 is mainly used to complete step S403, and an adjusting unit 144 is mainly used to complete step S404.

[0128] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be similarly included in the patent protection scope of the present invention.

Claims

1. A management method applied to smart health, characterized in that, The method includes: S100: Obtain intelligent health data, divide it into several individual items, find out the collection devices corresponding to each individual item, create data blocks corresponding one by one to the individual items, read the real-time parameters of the collection devices, update the data blocks, and cluster the data blocks into several disease courses; S200: Define a starting moment, define the real-time readings of the data blocks at the starting moment as starting readings, set a monitoring period, and after the monitoring period, define the real-time readings of the data blocks as ending readings, and calculate the difference between the starting readings and the ending readings; S300: Construct an evaluation rule, configure the corresponding relationship between the evaluation rule and the individual item, use the difference to select standard blocks and abnormal blocks from each disease course, generate mutual assistance pairs, create a management tree, and embed an inclination mechanism into the management tree, mount the standard blocks on the left side of the management tree, and mount the abnormal blocks on the right side of the management tree; S400: Receive an adjustment request initiated by the abnormal block based on a preset physical button, where the adjustment request includes a data item and a device item, send the adjustment request to the mutual assistance pair, and determine whether it has been read; If so, establish a communication link within the mutual assistance pair, establish a conversation, and open the adjustment permission of the device item to the mutual assistance pair; If not, incline the management tree, define a randomly popped standard block in the management tree as a target block, and establish a communication link between the target block and the abnormal block within the mutual assistance pair.

2. The management method applied to intelligent health according to claim 1, wherein The S100 includes: Configure the relevance between the data blocks, integrate the relevance, disease course and evaluation rule, generate an evaluation report, and send the evaluation report to the terminal corresponding to the abnormal block; Construct a sharing platform, use the evaluation report to traverse diagnostic suggestions, and integrate the diagnostic suggestions into the conversation.

3. The management method applied to intelligent health according to claim 1, characterized in that, The S200 includes: Taking the current moment as the abscissa and the real-time parameter as the ordinate, draw a change trend graph of the intelligent health data; Integrate multi-level threshold lines into the change trend graph and construct an emergency strategy.

4. The management method applied to intelligent health according to claim 2, wherein The S300 includes: In the sharing platform, create a friend list, and find standard blocks to generate mutual assistance pairs; Use the mutual assistance pairs to generate links, and insert the links into the management tree.

5. The management method applied to smart health according to claim 1, wherein The S400 includes: Configure a fluctuation range, and establish a mapping between the fluctuation range and the disease course; Based on the fluctuation range, divide the data blocks into standard blocks and abnormal blocks, and establish a transition mechanism.

6. The management method applied to intelligent health according to claim 5, wherein, The S300 further includes: According to the disease course of the abnormal block, determine the priority of each abnormal block, where the priority includes: high, medium and low; Determine the number of links corresponding to each priority, and adjust the mutual assistance pairs.

7. The management method applied to intelligent health according to claim 2, characterized in that, The method further includes: Select authorized personnel from the sharing platform, where the authorized personnel at least include: medical staff and professional volunteers; Insert a root node into the management tree, upload the adjustment request to the root node, and adjust the sending end of the communication link to the root node.

8. A management system applied to smart health, characterized in that, The system includes: A clustering module, which is used to obtain intelligent health data, split it into several single items, find out the acquisition devices corresponding to each single item, create data blocks corresponding one by one to the single items, read the real-time parameters of the acquisition devices, update the data blocks, and cluster the data blocks into several disease courses; A calculation module, which is used to define a starting moment, define the real-time reading of the data block at the starting moment as the starting reading, set a monitoring period, and define the real-time reading of the data block as the ending reading after the monitoring period, and calculate the difference between the starting reading and the ending reading; A mounting module, which is used to construct an evaluation rule, configure the corresponding relationship between the evaluation rule and the single item, use the difference to select standard blocks and abnormal blocks from each disease course, generate mutual assistance pairs, create a management tree, and embed an inclination mechanism into the management tree, mount the standard blocks on the left side of the management tree, and mount the abnormal blocks on the right side of the management tree; A judgment module, which is used to receive an adjustment request initiated by the abnormal block based on a preset physical button, where the adjustment request includes a data item and a device item, send the adjustment request to the mutual assistance pair, and judge whether it has been read; If so, build a communication link within the mutual assistance pair, establish a conversation, and open the adjustment permission of the device item to the mutual assistance pair; If not, incline the management tree, define the standard block randomly popped up in the management tree as the target block, and build a communication link between the target block and the abnormal block within the mutual assistance pair.

9. The management system applied to intelligent health according to claim 8, characterized in that, The clustering module includes: A sending unit, which is used to configure the relevance between the data blocks, integrate the relevance, disease course and evaluation rule, generate an evaluation report, and send the evaluation report to the terminal corresponding to the abnormal block; An adding unit, which is used to construct a sharing platform, use the evaluation report to traverse the diagnostic suggestions, and integrate the diagnostic suggestions into the conversation.

10. The management system applied to intelligent health according to claim 8, characterized in that, The calculation module includes: A drawing unit, which is used to draw a change trend chart of intelligent health data with the current moment as the abscissa and the real-time parameter as the ordinate; A constructing unit, which is used to integrate multi-level threshold lines into the change trend chart and construct an emergency strategy.

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