5g cloud-based emergency patient real-time monitoring and transportation system using artificial intelligence and location information

Abstract

The present invention relates to a 5G cloud-based emergency patient real-time monitoring and transportation system using artificial intelligence and location information, the system comprising: a cloud server which is linked to multiple hospital systems, and de-identifies data of patients registered in the multiple hospital systems so as to provide the de-identified data to each of the hospital systems; and a mobile terminal which accesses the cloud server to inquire about a hospital having a response resource and an available bed capable of accommodating an emergency patient, receives an input of information of the emergency patient, and provides, to the cloud server, the information of the emergency patient and information of an ambulance transporting the emergency patient, wherein the cloud server provides the information of the emergency patient and the information of the ambulance to a hospital system selected from the multiple hospital systems.

Description

A 5G cloud-based real-time emergency patient monitoring and transport system utilizing artificial intelligence and location information.

[0001] The present invention relates to a 5G cloud-based real-time emergency patient monitoring and transport system utilizing artificial intelligence and location information, and more specifically, to a 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information that can provide search and transport to a hospital that can provide optimal treatment to an emergency patient.

[0002] Recently, due to traffic congestion in urban areas, it is taking a considerable amount of time to transport emergency patients by ambulance.

[0003] Therefore, when transporting emergency patients, it is common to transport them to a nearby hospital with the nearest emergency center or to a previously designated hospital. However, recently, there have been cases where patients have died because they were unable to find a hospital that can treat and accept emergency patients.

[0004] Additionally, even after an emergency patient arrives at the hospital, there is a delay in assessing the patient's condition and providing emergency treatment, making it difficult for medical staff to take optimal action for the patient.

[0005] Therefore, there is a need for a method that can provide various information so that medical staff can take optimal action not only during emergency treatment while transporting an emergency patient, but also upon arrival at the hospital.

[0006] The present invention has been devised to solve the above-mentioned problem, and the 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to the present invention searches for a hospital with real-time available beds and response resources for an emergency patient based on the patient's condition and location to assist in optimal transport, and uploads the patient's condition to the cloud system so that the medical staff can take necessary measures in advance before the patient arrives, thereby securing the patient's golden time.

[0007] In addition, the 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to the present invention aims to provide accurate and rapid patient treatment through artificial intelligence analysis of the patient data and real-time monitoring and notification even after the patient is transported.

[0008] In order to solve the above-described problem, an embodiment of the present invention provides a 5G cloud-based real-time monitoring and transport system for emergency patients utilizing artificial intelligence and location information, including: a cloud server that is linked to a plurality of hospital systems and provides data of patients registered in the plurality of hospital systems, de-identified, to each of the hospital systems; and a mobile terminal that accesses the cloud server to search for hospitals having available beds and response resources capable of accommodating emergency patients, receives information on the emergency patients, and provides information on ambulances transporting the emergency patients to the cloud server; wherein the cloud server provides information on the emergency patients and information on the ambulances to a hospital system selected from the plurality of hospital systems.

[0009] According to another embodiment of the present invention, the mobile terminal can access the cloud server and search for a hospital with available beds and response resources capable of accommodating an emergency patient based on the current location information of the GPS module.

[0010] According to another embodiment of the present invention, the cloud server may be configured to include a de-identification module for de-identifying data of patients registered in a plurality of the hospital systems; an AI module for analyzing the condition of the emergency patient to determine whether the emergency patient is in a state of caution; and a notification module for sending a notification of the emergency patient in a state of caution to the mobile terminal or the plurality of the hospital systems.

[0011] According to another embodiment of the present invention, the cloud server is linked to a plurality of PACS (Picture Archiving and Communications Systems) of the hospital systems, and analyzes medical images provided through the PACS through the AI ​​module and provides the images to the mobile terminal or user terminal.

[0012] According to another embodiment of the present invention, the cloud server can analyze medical images provided from the mobile terminal through the AI ​​module and provide the images to the mobile terminal or user terminal.

[0013] According to another embodiment of the present invention, the AI ​​module can determine whether an emergency patient is in a state of caution by analyzing the status of the emergency patient in real time, which is input and updated through the mobile terminal.

[0014] The 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to the present invention is designed to search for hospitals with real-time available beds and response resources for emergency patients based on their condition and location to assist in optimal transport, and to upload the patient's condition to the cloud system so that medical staff can take necessary measures in advance before the patient arrives, thereby securing the patient's golden time.

[0015] In addition, the 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to the present invention can provide accurate and rapid patient treatment through artificial intelligence analysis of the patient data and real-time monitoring and notification even after the patient is transported.

[0016] FIG. 1 and FIG. 2 are drawings for explaining a 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to one embodiment of the present invention.

[0017] FIG. 3 is a diagram illustrating the configuration of a cloud server according to one embodiment of the present invention.

[0018] FIG. 4 is a diagram illustrating a medical image provided by a 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to one embodiment of the present invention.

[0019] FIG. 5 is a diagram illustrating real-time chat provided by a 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to one embodiment of the present invention.

[0020] The present invention is susceptible to various modifications and embodiments. Specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, but rather to encompass all modifications, equivalents, and alternatives falling within the spirit and technical scope of the present invention.

[0021] However, when describing embodiments, if a detailed description of a related known function or configuration is judged to unnecessarily obscure the gist of the present invention, a detailed description thereof will be omitted. Furthermore, the sizes of each component in the drawings may be exaggerated for illustrative purposes and do not necessarily represent the sizes actually applied.

[0022] Additionally, throughout the specification, when a component is referred to as being "connected" or "connected" to another component, it should be understood that the component may be directly connected or connected to the other component, but may also be connected or connected via another component in between, unless otherwise specifically stated. Additionally, throughout the specification, when it is said that a part "includes" a component, this does not exclude other components, but rather includes other components, unless otherwise specifically stated.

[0023] The 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to the present invention is designed to search for hospitals with real-time available beds and response resources for emergency patients based on their condition and location to assist in optimal transport, and to upload the patient's condition to the cloud system so that medical staff can take necessary measures in advance before the patient arrives, thereby securing the patient's golden time.

[0024] In addition, the 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to the present invention can provide accurate and rapid patient treatment through artificial intelligence analysis of the patient data and real-time monitoring and notification even after the patient is transported.

[0025] FIG. 1 and FIG. 2 are drawings for explaining a 5G cloud-based real-time emergency patient monitoring and transport system utilizing artificial intelligence and location information according to an embodiment of the present invention, and FIG. 3 is a drawing illustrating the configuration of a cloud server according to an embodiment of the present invention.

[0026] In addition, FIG. 4 is a drawing illustrating a medical image provided by a 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to an embodiment of the present invention, and FIG. 5 is a drawing illustrating a real-time chat provided by a 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to an embodiment of the present invention.

[0027] Hereinafter, with reference to FIGS. 1 to 5, a 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to an embodiment of the present invention will be described.

[0028] A 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information according to one embodiment of the present invention may be configured to include a cloud server (110) and a mobile terminal (120).

[0029] Referring to FIG. 1, the cloud server (110) is linked to a plurality of hospital systems (130) to de-identify data of patients registered in the plurality of hospital systems (130) and provide the de-identified data to each of the hospital systems. At this time, the cloud server (110) is configured to include a de-identification module (111), and can de-identify data of patients registered in a number of the hospital systems (130) through the de-identification module (111).

[0030] The above mobile terminal (120) can access the cloud server (110) through an application and search for hospitals with available beds and response resources that can accommodate emergency patients.

[0031] In addition, the mobile terminal (120) receives information on the emergency patient and provides the information on the emergency patient and the information on the ambulance transporting the emergency patient to the cloud server (110).

[0032] At this time, the mobile terminal (120) can access the cloud server (110) and search for a hospital with available beds and response resources that can accommodate an emergency patient based on the current location information of the GPS module within the mobile terminal (120).

[0033] Accordingly, the cloud server (110) can provide information on the emergency patient and information on the ambulance to a hospital system (130) selected from among a plurality of hospital systems (130).

[0034] In addition, the confirmation of a transfer hospital from among the plurality of hospital systems (130) may be made by a selection by a user (emergency medical staff) of the mobile terminal (120), by a judgment by an AI module (112) included in the cloud server (110), or by a request by a medical staff through one of the plurality of hospital systems (130).

[0035] In this way, according to the embodiment of FIG. 1, when emergency medical staff transport an emergency patient, they can use the application of a mobile terminal (120) to search for a nearby hospital with real-time available beds corresponding to the patient to be transported based on the current location, and transmit the current patient information to a cloud server (110) so that the hospital can perform the necessary procedures in advance, thereby securing the golden time for the emergency patient.

[0036] Thus, according to one embodiment of the present invention, in an emergency setting, information about nearby hospitals and available beds can be checked in real time via an application on a mobile terminal (120), enabling a quick decision on the hospital to which the patient will be transferred. Furthermore, patient information can be transmitted in advance to the hospital to which the patient will be transferred, enabling the hospital to prepare necessary treatment procedures in advance before the patient arrives, enabling prompt treatment and care for the emergency patient.

[0037] Referring to FIGS. 2 and 3, more specifically, the cloud server (110) may be configured to include a de-identification module (111), an AI module (112), and a notification module (113).

[0038] The above-mentioned de-identification module (111) can de-identify data of patients registered in a plurality of the above-mentioned hospital systems (130).

[0039] In addition, the AI ​​module (112) can analyze the condition of the emergency patient and determine whether the emergency patient is in a state of caution.

[0040] Meanwhile, the notification module (113) can send a notification of the emergency patient in a state of caution to the mobile terminal (120) or a plurality of the hospital systems (130).

[0041] More specifically, the cloud server (110) is linked to a plurality of PACS (Picture Archiving and Communications Systems) of the hospital systems (130), and analyzes medical images provided through the PACS through the AI ​​module (112) and provides them to the mobile terminal (120) or the user terminal of the hospital medical staff.

[0042] In addition, the cloud server (110) can analyze medical images provided from the mobile terminal (120) through the AI ​​module (112) and provide them to the mobile terminal (120) or the user terminal of the hospital medical staff.

[0043] At this time, the AI ​​module (112) can analyze the status of the emergency patient in real time, which is input and updated through the mobile terminal (120), to determine whether the emergency patient is in a state of caution.

[0044] In this way, according to one embodiment of the present invention, data can be shared between hospital systems (130). Therefore, even if a patient is transferred to another hospital, data generated at the previous hospital can be utilized, and, depending on the situation, collaborative treatment can be achieved with multiple medical professionals at multiple hospitals. Furthermore, when medical imaging is taken using a mobile terminal (120) or at a hospital, the system can be linked to the hospital's PACS to provide AI-analyzed results, thereby reducing interpretation time and providing more accurate analysis results.

[0045] In addition, in the case of patients requiring attention as a result of AI analysis, real-time notifications are provided to relevant medical staff via mobile terminals (120) or user terminals of hospital medical staff, enabling more rapid response.

[0046] Therefore, the present invention enables location-based real-time availability of hospitals, and by providing a search for the nearest optimal hospital to which a patient can be transferred based on the patient's condition and current location, the problem of transporting the patient to the optimal hospital identified in real time can be prevented by preventing the patient from wandering around searching for an available hospital. This optimal hospital refers to a hospital with specialists capable of treating the patient's condition and available beds.

[0047] According to the present invention, to enable real-time patient data retrieval and sharing, paramedics or medical staff can upload patient information, allowing real-time patient information and ambulance location information to be shared among relevant medical staff. This allows hospitals to access real-time patient information, enabling workflows to proceed in parallel even during patient transport, and eliminating and streamlining redundant tasks during inter-hospital transfers.

[0048] In addition, as illustrated in FIG. 4, according to the present invention, a viewer function is provided so that when a registered patient takes a medical image, the medical image and the artificial intelligence analysis results are uploaded to the cloud and can be checked on an application of a mobile terminal or a user terminal (Viewer of a PC Web or a mobile terminal), and as illustrated in FIG. 5, a real-time chat function is provided between mobile terminals so that medical staff can collaborate or communicate through the real-time chat function.

[0049] Furthermore, the present invention provides real-time AI analysis and hospital transfer recommendation functions. When patient data is updated on the cloud server (110), AI analyzes the patient's information. If the AI ​​analysis determines that the patient is in an emergency, the analysis results are transmitted via push notification to the mobile terminal (120) application, allowing for real-time recommendations of the optimal hospital based on the AI ​​analysis results, patient condition, and location.

[0050] The detailed description of the present invention, as described above, has described specific embodiments. However, various modifications are possible without departing from the scope of the present invention. The technical spirit of the present invention should not be limited to the aforementioned embodiments, but should be defined not only by the claims but also by equivalents thereof.

Claims

1. A cloud server that is linked to multiple hospital systems and provides data of patients registered in multiple hospital systems by de-identifying them to each hospital system; and A mobile terminal that accesses the cloud server, searches for a hospital with available beds and response resources that can accommodate an emergency patient, receives information about the emergency patient, and provides information about the emergency patient and information about an ambulance transporting the emergency patient to the cloud server; The above cloud server, A 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information, characterized in that it provides information on the emergency patient and information on the ambulance to a hospital system selected from a plurality of the above hospital systems.

2. In claim 1, The above mobile terminal, A 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information, characterized in that it accesses the above cloud server and searches for hospitals with available beds and response resources that can accommodate emergency patients based on the current location information of the GPS module.

3. In claim 1, The above cloud server, A de-identification module that de-identifies data of patients registered in a number of the above hospital systems; An AI module that analyzes the condition of the above emergency patient and determines whether the emergency patient is in a state of caution; and A notification module that sends a notification of the above emergency patient in a state of attention to the above mobile terminal or a plurality of the above hospital systems; A 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information, characterized by including:

4. In claim 3, The above cloud server, A 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information, characterized in that it is linked to the PACS (Picture Archiving and Communications System) of a plurality of the above hospital systems, analyzes medical images provided through the PACS through the AI ​​module, and provides the analyzed images to the mobile terminal or user terminal.

5. In claim 3, The above cloud server, A 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information, characterized in that it analyzes medical images provided from the mobile terminal through the AI ​​module and provides the images to the mobile terminal or user terminal.

6. In claim 3, The above AI module, A 5G cloud-based emergency patient real-time monitoring and transport system utilizing artificial intelligence and location information, characterized in that the status of the emergency patient input and updated through the mobile terminal is analyzed in real time to determine the status of the emergency patient in a state of caution.

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