Remote medical information monitoring method and system based on artificial intelligence

Abstract

The invention discloses a remote medical information monitoring method and system based on artificial intelligence, and relates to the technical field of intelligent medical treatment.The method comprises the steps that a user side is determined, medical information is collected based on the user side, and a medical server is constructed corresponding to a client side and the medical information; the medical information in the medical server is analyzed based on artificial intelligence to obtain state information, and the state information comprises an abnormal state and a normal state; and calling the management end and prompting the medical information in the abnormal state to the management end. According to the invention, the permission call or the interception call can be carried out on the call process according to the permission index, so that call to a telephone set without permission is avoided, the medical information corresponding to the permission index which does not meet the preset condition is intercepted, and the server calls and sends the medical information again; and the medical information corresponding to the permission index meeting the preset condition is normally transmitted and the management end is called, so that the working effectiveness can be ensured, and the condition of invalid calling is avoided.

Description

Technical Field

[0001] The present invention relates to the field of intelligent medical technology, and in particular to a remote medical information monitoring method and system based on artificial intelligence. Background Art

[0002] With the aging of the global population, the demand for health management and medical services for the elderly is growing; the elderly often suffer from multiple chronic diseases and require long-term monitoring and management. The remote medical information monitoring method can detect abnormal conditions in time and take corresponding treatment measures by monitoring the patient's physiological parameters and health status in real time. At present, when monitoring remote medical information, due to the instability of information, the allowed calls to the phone result in invalid calls, and it is difficult to avoid the unauthorized information call prompts to the phone. Summary of the invention

[0003] The purpose of the present invention is to provide a remote medical information monitoring method and system based on artificial intelligence to solve the shortcomings of the background technology.

[0004] In order to achieve the above object, the present invention provides the following technical solution: a remote medical information monitoring method based on artificial intelligence, comprising the following steps:

[0005] Determine the user end, collect medical information based on the user end, and build a medical server corresponding to the client and the medical information;

[0006] Analyze the medical information in the medical server based on artificial intelligence to obtain status information, wherein the status information includes abnormal status and normal status;

[0007] Call the management end and notify the management end of abnormal medical information.

[0008] In a preferred embodiment, the steps of determining the user terminal, collecting medical information based on the user terminal, and building a medical server corresponding to the client terminal and the medical information include:

[0009] Obtain the user's basic identity information and basic medical information as user information, and register the user terminal based on the user information;

[0010] The medical information of users is collected from the user terminal and transmitted to the server, and a medical server is built through the server and the client.

[0011] In a preferred embodiment, the step of collecting the medical information of the user from the user terminal and transmitting it to the server to build a medical server includes:

[0012] Establish communication relationships between the server and the user end and the management end respectively;

[0013] Build a permission call connection framework between the server and the management end based on the communication relationship;

[0014] Based on the permission call, the stored information in the rack association server is involved to obtain the medical server.

[0015] In a preferred embodiment, the step of building a permission call connection frame between the server and the management terminal based on the communication relationship includes:

[0016] A permission channel is additionally set for the transmission channel between the corresponding server and the management end, wherein the permission channel includes a permission communication chain and a permission node, and the permission node is loaded on the permission communication chain;

[0017] Multiple tracking sub-devices are allocated to corresponding permission nodes, the permission nodes are point-connected with the transmission channels, and communication interception is set at the location where the transmission channels are connected with the management end.

[0018] In a preferred embodiment, the step of obtaining the medical server based on the stored information in the associated server of the permission call involves:

[0019] The storage space in the server is divided into a plurality of unit storage spaces, and a main association point is set corresponding to the plurality of unit storage spaces;

[0020] The main association point is divided into the same number of association points according to the number of the multiple unit storage spaces, and the multiple association points are all connected to the main association point and bound to the corresponding storage spaces;

[0021] The main association point is connected to the permission channel communication to obtain the permission call involvement frame.

[0022] In a preferred embodiment, the step of analyzing the medical information in the medical server based on artificial intelligence to obtain status information includes:

[0023] Setting a threshold of corresponding medical information in the server;

[0024] Through artificial intelligence, the medical information collected by the user end is compared with the corresponding threshold, and the medical information that meets the threshold is regarded as a normal state, otherwise it is regarded as an abnormal state.

[0025] In a preferred embodiment, the step of calling the management terminal and notifying the management terminal of the abnormal medical information includes:

[0026] Transmitting the abnormal medical information through the transmission channel, maintaining the communication between the permission channel and the server at the transmission start time, and attaching a tracking sub-item to the abnormal medical information in the transmission channel through the permission node;

[0027] Obtain the corresponding information between the tracker and the permitted channel, wherein the corresponding information includes the number and time of the movement pause of the tracker in the permitted channel, and obtain the permitted index according to the corresponding information, wherein the calculation formula of the permitted index is:

[0028] Among them, δ is the permission index, ε is the number of mobile pauses of the tracker in the permitted channel, β is the network stability evaluation factor, t is the integration time of the mobile pauses of the tracker in the permitted channel, and θ and τ are both constants greater than zero;

[0029] The medical information corresponding to the permission index that does not meet the preset conditions is intercepted and resent, and the medical information corresponding to the permission index that meets the preset conditions is transmitted normally and calls the management end.

[0030] The present invention also provides a remote medical information monitoring system based on artificial intelligence, comprising:

[0031] A construction module is used to determine the user end, collect medical information based on the user end, and construct a medical server corresponding to the client end and the medical information;

[0032] A judgment module, connected to the construction module, is used to analyze the medical information in the medical server based on artificial intelligence to obtain status information, wherein the status information includes abnormal status and normal status;

[0033] The calling module is connected with the judging module and is used to call the management end and prompt the management end with the medical information of abnormal status.

[0034] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0035] The present invention can complete the monitoring of the tracker through the point connection between the permission node and the transmission channel, and then can permit the call or intercept the call process according to the permission index, avoid calling the phone without permission, intercept the medical information corresponding to the permission index that does not meet the preset conditions and re-call and send it by the server, and transmit the medical information corresponding to the permission index that meets the preset conditions normally and call the management end, which can ensure the effectiveness of the work and avoid invalid calls. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0037] Figure 1The present invention is a flow chart of the method.

[0038] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 creative work are within the scope of protection of the present invention.

[0040] Example 1, please refer to Figure 1 As shown, the remote medical information monitoring method based on artificial intelligence described in this embodiment includes the following steps:

[0041] S1. Determine the user terminal, collect medical information based on the user terminal, and build a medical server corresponding to the client and medical information;

[0042] S2. Analyze the medical information in the medical server based on artificial intelligence to obtain status information, wherein the status information includes abnormal status and normal status;

[0043] S3, calling the management terminal and notifying the management terminal of the abnormal medical information;

[0044] As described in the above steps S1-S3, with the aggravation of the aging of the global population, the demand for health management and medical services of the elderly population is growing; the elderly often suffer from a variety of chronic diseases and need long-term monitoring and management. The remote medical information monitoring method can timely detect abnormal conditions and take corresponding treatment measures by monitoring the patient's physiological parameters and health status in real time. At present, when monitoring remote medical information, it is difficult to avoid the unauthorized information call prompt to the phone because of the instability of information. The application can complete the monitoring of the tracking sub-node through the point connection between the permission node and the transmission channel, and then the call process can be allowed to call or intercept the call according to the permission index to avoid unauthorized calls to the phone, and the medical information corresponding to the permission index that does not meet the preset conditions is intercepted and re-called and sent by the server, and the medical information corresponding to the permission index that meets the preset conditions is normally transmitted and called to the management end, which can ensure the effectiveness of the work and avoid invalid calls.

[0045] In one embodiment, the step S1 of determining the user terminal, collecting medical information based on the user terminal, and building a medical server corresponding to the client terminal and the medical information includes:

[0046] S11, obtaining basic identity information and basic medical information of the user as user information, and registering the user terminal according to the user information;

[0047] S12, collecting the medical information of the user according to the user terminal and transmitting it to the server, and building a medical server through the server and the client;

[0048] As described in the above steps S11 and S12, when remote medical information monitoring of the guardian is performed, it is necessary to register a user terminal for the corresponding user personnel. First, it is necessary to collect the basic identity information of the user personnel, such as the basic identity information including the name, age and other identity information, and collect basic medical information, such as the basic medical information including the user personnel's physical condition parameter information, such as heart rate and blood pressure and other parameters. The basic identity information and basic medical information of the user personnel are used as user information, and then the user terminal is registered according to the user information. After obtaining the user terminal, the medical information of the user personnel is remotely collected, wherein the medical information is the identity medical parameter that needs to be remotely monitored, and then the medical information is transmitted and stored in the server, and a medical server is constructed through the server and the client for subsequent analysis of the medical parameters of the user personnel;

[0049] In one embodiment, the step S12 of collecting the medical information of the user personnel according to the user terminal and transmitting it to the server to build a medical server includes:

[0050] S121, establishing communication relationships between the server and the user terminal and the management terminal respectively;

[0051] S122, building a permission call connection frame between the server and the management terminal based on the communication relationship;

[0052] S123, obtaining a medical server based on the stored information in the associated server of the call-related rack;

[0053] As described in the above steps S121-S123, the management end is determined, where the management end is a telephone corresponding to a household, and then a communication relationship is established between the server and the user end and the management end respectively, and a socket is used for data transmission through the network communication protocol of the TCP / IP protocol; a TCP connection can be established between the user end or the management end and the server, and then data is exchanged through this connection. The user end here is used to collect the medical information of the user personnel and transmit it to the server. Then, a permission call involvement frame must be built between the server and the management end. The permission call involvement frame is used to avoid the generation of unauthorized calls and the impersonation of external intrusion calls, and has effective unauthorized calls to the management end. The storage information in the server is associated with the permission call involvement frame, and the server after the permission call involvement frame is associated with the storage information in the server is used as a medical server, which has a good call security protection effect.

[0054] In one embodiment, the step S122 of building a permission call connection frame between the server and the management terminal based on the communication relationship includes:

[0055] S1221, corresponding to the transmission channel between the server and the management end, additionally setting a permission channel, wherein the permission channel includes a permission communication chain and a permission node, and the permission node is loaded on the permission communication chain;

[0056] S1222, assign multiple tracking sub-nodes to the corresponding permission nodes, connect the permission nodes to the transmission channels, and set communication interception at the location where the transmission channels are connected to the management end;

[0057] In one embodiment, the step S123 of obtaining the medical server based on the stored information in the license call-related rack associated server includes:

[0058] S1231, dividing the storage space in the server into a plurality of unit storage spaces, and setting a main association point corresponding to the plurality of unit storage spaces;

[0059] S1232, dividing the main association point into the same number of association points according to the number of the plurality of unit storage spaces, and the plurality of association points are all connected to the main association point and bound to the corresponding storage spaces;

[0060] S1233, connecting the main association point with the permission channel to obtain a permission call connection frame;

[0061] As described in the above steps S1221, S1222 and S1231-S1233, there is a transmission channel between the server and the management end, and a permission communication chain and a permission node are additionally set up corresponding to the transmission channel as a permission channel, wherein the permission node is set at the transmission end position of the server, and a tracker is correspondingly configured on the permission node. The tracker here obtains the IP address information of the medical information transmission and can then obtain the number and time of pauses in the medical information transmission, and monitors the permission of information transmission through the permission channel. The permission node is connected to the transmission channel, and when the medical information transmission does not meet the permission index during the subsequent transmission of medical information, the communication is intercepted through the location where the management end is connected to the transmission channel, and the permission channel is used to monitor the transmission through the permission node. The input channel is used to determine whether the subsequent call to the telephone (management end) is in a permitted state, to avoid calling the telephone without permission, and to monitor the entire process from the collection of medical information. The storage monitoring is: the storage space in the server is divided into multiple unit storage spaces, and the association point here is the point of differentiation (copy) of the main association point. There is a communication relationship between the association point and the main association point. The association point is used to always monitor the medical information in the corresponding unit storage space. The association point combined with the permission channel can realize a full-process monitoring of medical information from collection to analysis and call management. It can achieve a full-process permission call supervision function to ensure the safety of call permission for the telephone. The main association point here is connected to the permission channel to obtain a permission call involvement frame.

[0062] In one embodiment, the step S2 of analyzing the medical information in the medical server based on artificial intelligence to obtain status information includes:

[0063] S21, setting a threshold of corresponding medical information in the server;

[0064] S22, comparing the medical information collected by the user terminal with the corresponding threshold through artificial intelligence, and treating the medical information that meets the threshold as a normal state, and vice versa as an abnormal state;

[0065] As described in the above steps S21 and S22, the medical information is the physical medical parameters of the user. The medical information is uploaded to the server, so the data is analyzed in the server, and corresponding thresholds are set for different medical parameters. After the server receives the medical information, it is compared with the corresponding threshold, and the medical information that meets the threshold is regarded as a normal state, otherwise it is regarded as an abnormal state. The abnormal state and the normal state here are both status information of the medical information, which can complete the analysis of the medical data of the user, facilitate the subsequent abnormal medical information to prompt the call management end, and can achieve timely discovery and timely response, and inform the corresponding medical service personnel through the telephone.

[0066] In one embodiment, the step S3 of calling the management terminal and notifying the management terminal of the abnormal medical information includes:

[0067] S31, transmitting the abnormal medical information through the transmission channel, maintaining the communication between the permission channel and the server at the transmission start time, and adding a tracking sub-item to the abnormal medical information in the transmission channel through the permission node;

[0068] S32, obtaining corresponding information between the tracker and the permitted channel, wherein the corresponding information includes the number and time of the movement pause of the tracker in the permitted channel, and obtaining a permitted index according to the corresponding information, wherein the calculation formula of the permitted index is:

[0069] Among them, δ is the permission index, ε is the number of mobile pauses of the tracker in the permitted channel, β is the network stability evaluation factor, t is the integration time of the mobile pauses of the tracker in the permitted channel, and θ and τ are both constants greater than zero. It should be noted that the larger the values ​​of ε and t, the smaller the value of δ, which means the lower the degree of permission;

[0070] S33, intercepting and resending the medical information corresponding to the permission index that does not meet the preset conditions, transmitting the medical information corresponding to the permission index that meets the preset conditions normally and calling the management end;

[0071] As described in the above steps S31-S33, medical data analysis is performed in the server, and then the medical information of the medical status is transmitted through the transmission channel. At the moment the medical information is transmitted through the server, the tracking sub is released to the medical information in the abnormal state in the transmission channel through the permission node and attached to the medical information in the abnormal state. At the same time, the communication between the permission channel and the server is maintained at the moment of transmission start. In this way, the permission channel is always in a working state, and the medical information transmission process can be tracked according to the tracking sub. The tracking sub can be monitored through the point connection between the permission node and the transmission channel. Afterwards, the call process can be authorized or intercepted according to the permission index to avoid unauthorized calls to the telephone. The medical information corresponding to the permission index that does not meet the preset conditions will be intercepted and re-called by the server. The medical information corresponding to the permission index that meets the preset conditions will be transmitted normally and call the management end, which can ensure the effectiveness of the work and avoid invalid calls.

[0072] Example 2, please refer to Figure 2 As shown, the remote medical information monitoring system based on artificial intelligence described in this embodiment includes:

[0073] A construction module is used to determine the user end, collect medical information based on the user end, and construct a medical server corresponding to the client end and the medical information;

[0074] A judgment module, connected to the construction module, is used to analyze the medical information in the medical server based on artificial intelligence to obtain status information, wherein the status information includes abnormal status and normal status;

[0075] The calling module is connected with the judging module and is used to call the management end and prompt the management end with the medical information of abnormal status.

[0076] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A remote medical information monitoring method based on artificial intelligence, characterized in that: The following steps are involved: Determine the user end, collect medical information based on the user end, and build a medical server corresponding to the client and the medical information; Analyze the medical information in the medical server based on artificial intelligence to obtain status information, wherein the status information includes abnormal status and normal status; Call the management end and notify the management end of abnormal medical information.

2. The remote medical information monitoring method based on artificial intelligence according to claim 1, characterized in that: The steps of determining the user terminal, collecting medical information based on the user terminal, and building a medical server corresponding to the client terminal and the medical information include: Obtain the user's basic identity information and basic medical information as user information, and register the user terminal based on the user information; The medical information of users is collected from the user terminal and transmitted to the server, and a medical server is built through the server and the client.

3. The remote medical information monitoring method based on artificial intelligence according to claim 2, characterized in that: The step of collecting the medical information of the user personnel according to the user terminal and transmitting it to the server to build a medical server includes: Establish communication relationships between the server and the user end and the management end respectively; Build a permission call connection framework between the server and the management end based on the communication relationship; Based on the permission call, the stored information in the rack association server is involved to obtain the medical server.

4. The remote medical information monitoring method based on artificial intelligence according to claim 3, characterized in that: The step of building a permission call connection frame between the server and the management terminal based on the communication relationship includes: A permission channel is additionally set for the transmission channel between the corresponding server and the management end, wherein the permission channel includes a permission communication chain and a permission node, and the permission node is loaded on the permission communication chain; Multiple tracking sub-devices are allocated to corresponding permission nodes, the permission nodes are point-connected with the transmission channels, and communication interception is set at the location where the transmission channels are connected with the management end.

5. The remote medical information monitoring method based on artificial intelligence according to claim 3, characterized in that: The step of obtaining the medical server based on the stored information in the associated server of the permission call involves: The storage space in the server is divided into a plurality of unit storage spaces, and a main association point is set corresponding to the plurality of unit storage spaces; The main association point is divided into the same number of association points according to the number of the multiple unit storage spaces, and the multiple association points are all connected to the main association point and bound to the corresponding storage spaces; The main association point is connected to the permission channel communication to obtain the permission call involvement frame.

6. The remote medical information monitoring method based on artificial intelligence according to claim 1, characterized in that: The step of analyzing the medical information in the medical server based on artificial intelligence to obtain status information includes: Setting a threshold of corresponding medical information in the server; Through artificial intelligence, the medical information collected by the user end is compared with the corresponding threshold, and the medical information that meets the threshold is regarded as a normal state, otherwise it is regarded as an abnormal state.

7. The remote medical information monitoring method based on artificial intelligence according to claim 1, characterized in that: The step of calling the management terminal and notifying the management terminal of the abnormal medical information includes: Transmitting the abnormal medical information through the transmission channel, maintaining the communication between the permission channel and the server at the transmission start time, and attaching a tracking sub-item to the abnormal medical information in the transmission channel through the permission node; Obtain the corresponding information between the tracker and the permitted channel, wherein the corresponding information includes the number and time of the movement pause of the tracker in the permitted channel, and obtain the permitted index according to the corresponding information, wherein the calculation formula of the permitted index is: Among them, δ is the permission index, ε is the number of mobile pauses of the tracker in the permitted channel, β is the network stability evaluation factor, t is the integration time of the mobile pauses of the tracker in the permitted channel, and θ and τ are both constants greater than zero; The medical information corresponding to the permission index that does not meet the preset conditions is intercepted and resent, and the medical information corresponding to the permission index that meets the preset conditions is transmitted normally and calls the management end.

8. An artificial intelligence-based remote medical information monitoring system, used to implement an artificial intelligence-based remote medical information monitoring method according to any one of claims 1 to 7, characterized in that: include: A construction module is used to determine the user end, collect medical information based on the user end, and construct a medical server corresponding to the client end and the medical information; A judgment module, connected to the construction module, is used to analyze the medical information in the medical server based on artificial intelligence to obtain status information, wherein the status information includes abnormal status and normal status; The calling module is connected with the judging module and is used to call the management end and prompt the management end with the medical information of abnormal status.

Images