Intelligent medical service system based on unmanned aerial vehicle

Abstract

The invention belongs to the technical field of medical services, and provides an intelligent medical service system based on an unmanned aerial vehicle, which comprises a patient client, a doctor client, a server and a distribution system, the patient client and the doctor client are both connected with the server through the Internet, the patient client is used for enabling a patient to see a doctor online, and the doctor client is used for enabling a doctor to perform a doctor online and sending a corresponding treatment scheme to the patient client; the server is configured to respond to a request of a patient client for a door-to-door service so as to send a treatment scheme to the distribution system; and the distribution system is used for conveying the articles corresponding to the treatment scheme to the patient. The system has the advantages that the requirement that a patient needs to go to a hospital for seeing a doctor is met in the mode that the medical diagnosis equipment or treatment equipment is distributed through the unmanned aerial vehicle, and the doctor seeing efficiency of the patient is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical services, and particularly relates to a smart medical service system based on a UAV. BACKGROUND

[0002] Due to the popularity of artificial intelligence, AI medical treatment has become a way, but at the current stage, people still cannot fully trust AI, and even on the Internet platform, manual medical treatment is still the main way. Online manual medical treatment is timely, but it has not reached the stage of complete cure, and patients still need to go to the hospital for corresponding equipment treatment.

[0003] And when the patient encounters an emergency situation in the hospital, the patient needs to confirm with the family member. When the family member is not present, the family member needs to go to the hospital, which delays the emergency treatment time and the safety of the family member's journey. SUMMARY

[0004] The purpose of the present application is to provide a solution to the above problems.

[0005] In order to achieve the above purpose, the technical scheme adopted by the present application is:

[0006] A smart medical service system based on a UAV, comprising a patient client, a doctor client, a server and a delivery system;

[0007] The patient client and the doctor client are both connected to the server through the Internet, the patient client is used for online medical treatment by the patient, and the doctor client is used for online medical treatment by the doctor and sends the corresponding treatment plan to the patient client;

[0008] The server is configured to respond to the request of the patient client for home service to send the treatment plan to the delivery system;

[0009] The delivery system is used to deliver the corresponding items of the treatment plan to the patient.

[0010] Further, the server is configured to classify the symptoms described by the patient client through artificial intelligence, and to assist in diagnosis through disease duration, disease condition and pathogen analysis and record to the server and send to the doctor client.

[0011] Further, the server is configured to respond to the request of the patient client to go to the hospital for medical treatment, and to push the hospital suitable for the patient to go to according to the current number of patients in each hospital.

[0012] Further, the server is configured to respond to the request of the patient client to judge the disease, and to send the disease detection plan to the delivery system; the delivery system is used to deliver the corresponding items or equipment of the disease detection plan to the patient, and to send the collected samples back to the designated location to complete the diagnosis of the disease of the patient.

[0013] Further, the delivery system delivers the items corresponding to the treatment plan to the patient by means of unmanned aerial vehicle transportation.

[0014] Further, the items delivered by the delivery system to the patient include a treatment robot configured to treat the patient according to the treatment plan.

[0015] Further, the delivery system includes a delivery customer point clustering unit and a path planning unit.

[0016] The delivery customer point clustering unit is configured to cluster the delivery customer points according to their locations to obtain different clustering groups.

[0017] The path planning unit is configured to take the center node of a clustering group as an access node of an unmanned aerial vehicle aircraft carrier and take the customer points in the clustering group as access nodes of unmanned aerial vehicles, plan the paths of the unmanned aerial vehicles and the unmanned aerial vehicle aircraft carrier, and obtain the optimal paths of the unmanned aerial vehicles and the unmanned aerial vehicle aircraft carrier in the delivery process.

[0018] Further, when the unmanned aerial vehicle reaches the vicinity of the area where the patient is located, the identification information sent by the patient client is acquired to identify the location of the patient.

[0019] Further, when the patient is in a moving vehicle, the unmanned aerial vehicle is configured to match the moving speed of the vehicle to land on the vehicle during delivery.

[0020] Further, the delivery system includes a regulation unit configured to obtain the optimal flight height and speed of the unmanned aerial vehicle when passing through each area from the starting point to the landing point.

[0021] Compared with the prior art, the present application has at least the following beneficial effects:

[0022] (1) By means of unmanned aerial vehicle delivery of medical diagnostic equipment or treatment equipment, the need for patients to go to the hospital for treatment is solved, and the efficiency of patients seeking medical treatment is improved.

[0023] (2) In the unmanned aerial vehicle delivery, the paths of the unmanned aerial vehicles and the unmanned aerial vehicle aircraft carrier are planned by means of the unmanned aerial vehicle aircraft carrier and customer point clustering to obtain the optimal paths of the unmanned aerial vehicles and the unmanned aerial vehicle aircraft carrier in the delivery process, thereby shortening the treatment time of the patient.

[0024] (3) When the patient is in a moving vehicle, the unmanned aerial vehicle can match the moving speed of the vehicle to land on the vehicle during delivery, thereby facilitating timely diagnosis and treatment for the patient in the moving vehicle. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the specific embodiments of the present application or the prior art, the drawings required to be used in the description of the specific embodiments or the prior art will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0026] Figure 1 is a schematic diagram of the system framework provided by the present embodiment;

[0027] Figure 2 is a schematic diagram of the patient medical treatment process provided by the present embodiment. DETAILED DESCRIPTION

[0028] It should be noted that the technical solutions of various embodiments of the present application can be combined with each other, but it must be based on the fact that a person skilled in the art can realize it, when the combination of technical solutions appears contradictory or cannot be realized, it should be considered that the combination of technical solutions does not exist, nor within the scope of protection required by the present application.

[0029] The following are specific embodiments of the present application, and the technical solutions of the present application are further described in conjunction with the drawings, but the present application is not limited to these embodiments.

[0030] As shown in Figure 1 , the present embodiment provides a smart medical service system based on unmanned aerial vehicle, characterized in that it comprises a patient client, a doctor client, a server and a delivery system.

[0031] The patient client and the doctor client are connected to the server through the Internet, the patient client is used for online medical treatment of the patient, and the doctor client is used for online medical treatment of the doctor, and the corresponding treatment plan is sent to the patient client.

[0032] The server synchronizes the patient's medical insurance, medical treatment, insurance and other information, and judges whether the patient is a brain-computer interface or wears a corresponding device.

[0033] If it is a device user, the system judges the user's symptoms according to the data recognized by the device, and checks the corresponding symptoms and other information of the patient as a diagnosis guarantee.

[0034] If it is not a device user, it is first diagnosed by artificial intelligence, the server divides the categories that need to be diagnosed according to the analysis of the patient's condition by artificial intelligence, and then the doctor diagnoses, after diagnosis, the patient selects offline or online dispensing, if further instrument diagnosis or treatment is needed, the patient selects medical robot diagnosis, treatment or goes to the optimal hospital or base recommended by the system for diagnosis and treatment.

[0035] Wherein, the server classifies the symptoms described by the patient client through artificial intelligence, assists in diagnosis through disease duration, disease condition, and pathogen analysis, and records it in the server and sends it to the doctor client to help the doctor determine the patient's condition and the corresponding treatment plan. The treatment plan can be synchronized by the server to the corresponding medical cabin or treatment robot and wearable treatment equipment.

[0036] When the patient selects a medical robot for on-site service on the client, the server sends the treatment plan to the delivery system, so that the medical robot and the corresponding goods are delivered to the patient by the delivery system.

[0037] When the medical robot cannot solve the patient's problem, the server arranges transportation tools to send the patient to the best treatment place that can treat the patient's condition according to the patient's selection, analyzed by artificial intelligence or selected by the doctor.

[0038] Further, the server or the doctor can directly arrange transportation tools to send the patient to the best treatment point according to the patient's condition through the camera set on the medical robot.

[0039] At the same time, the server continues to distribute subsequent treatment goods or equipment for the user according to the patient's condition after treatment.

[0040] In the medical robot on-site diagnosis and treatment, the server generates the medical equipment number in the system and the material number carried as the first number, and the entity medical equipment and material number that should be carried as the second number. After the transportation tool (drone) delivers the medical equipment to the patient, the patient uses its identity number as the third number to check the carried equipment and materials, and performs three-code authentication. After checking, the patient is diagnosed and treated.

[0041] Further, the server is configured to send the disease detection plan to the delivery system in response to the patient client's request for disease judgment; the delivery system is used to deliver the goods or equipment corresponding to the disease detection plan to the patient, and the collected samples are sent back to the designated location to complete the patient's disease diagnosis.

[0042] If instrument assistance is required for diagnosis of the disease, the patient uploads the corresponding data using the intelligent device for artificial intelligence and doctor diagnosis, but the patient's own equipment cannot meet the requirements, then the patient can choose to go to the system recommended optimal hospital for diagnosis and treatment, or the server arranges a medical robot to carry relevant medical equipment for on-site diagnosis and treatment, or the medical equipment can be carried on the user's household robot, and after being carried, the patient is diagnosed or treated by artificial intelligence or doctor's operation.

[0043] The server classifies the symptoms described by the user through artificial intelligence, diagnoses through the time of the disease, the condition, and the pathogen analysis, and records it to the server. And the artificial intelligence classifies the symptoms reported by the user, including the time of the disease, the condition, and the pathogen, as a reference for the doctor's diagnosis, and the doctor can also watch the patient's original video as a diagnosis reference.

[0044] For example, when temperature measurement, blood drawing, injection, scanning, X-ray, chest radiography, etc. are needed, the user can choose to have a medical robot visit or make an appointment at an offline hospital or a robot base for examination. Among them, the robot base is distributed near the community, mainly operated by robots, supplemented by manual operation. The distribution range is larger than the hospital. The robot base can have various examination equipment, or it can uniformly send the patient's samples to the detection center for detection through transportation equipment, and feedback the data after detection.

[0045] When the patient chooses to have a medical robot visit for diagnosis and treatment, the server arranges the corresponding hospital medical robot and the diagnosis or treatment equipment that the medical robot needs to carry. Or arrange transportation tools to deliver medical equipment that can be installed on home robots to the patient.

[0046] According to the patient's condition, the medical robot carries corresponding diagnostic and treatment devices, such as syringes, infusion equipment, pulse measuring instruments, body temperature measuring instruments, chest radiography instruments, skin detection tools, blood detection instruments, cupping devices, etc. Through the distribution system, the patient's address path is planned, and the medical robot goes to the patient's provided location by itself or by riding a transportation tool, and provides real-time path feedback to the server and the patient's client.

[0047] Further, in the diagnosis process, it is divided into artificial intelligence diagnosis first, and then doctor diagnosis. Considering the peak period of going to the hospital, since the doctor and nurse information is synchronized into the system, after the patient is preliminarily diagnosed by artificial intelligence in the system, the patient and the preliminary diagnosis information are shunted to the doctor client for final diagnosis, avoiding the problem that some hospitals need to queue up and some hospitals have few people. Users can also choose to specify a doctor for diagnosis or treatment.

[0048] Further, the system will match the patient's condition to the doctor who often diagnoses or treats the condition, ensuring that the patient is diagnosed or treated by an experienced doctor.

[0049] Further, after going to the hospital, the server defaults the doctor as the patient's doctor for the condition, and the patient has other symptoms later, the server will preferentially arrange the doctor as a health guide. If the patient needs to change doctors, add other range of doctors, or the patient's condition is not within the scope of the doctor's expertise, then the server will re-arrange the doctor for the patient's condition.

[0050] Further, if the patient needs to be hospitalized, the hospital and bed information is entered into the server, and the server arranges the patient to the best hospital in the system, alleviating the problem of insufficient hospital nurses and beds during peak periods.

[0051] If the patient has an emergency, the server notifies the family and invites them to confirm treatment (online invitation confirmation), and after the family agrees, the patient's symptoms and clinical response are recorded and uploaded, and the artificial intelligence determines the patient's past medical history, informs the doctor, nurse, and medical robot how to treat the patient, uses the corresponding equipment, and records the entire treatment process on the server.

[0052] In addition, the VR glasses or corresponding equipment provided by the treatment equipment have a synchronous store, game, travel, social, and simulated social scene system. Patients can view products such as phones, cars, and clothing in a virtual scene. Medical equipment and VR glasses or equipment are delivered to the patient by a drone or transportation device. Patients can wear VR glasses or corresponding equipment, which can be delivered to them by a drone or provided by the patient themselves and synchronized with the corresponding content on the server. VR glasses or corresponding equipment avoid scenarios that patients cannot interact with due to their condition and treatment methods. Patients can control it through neural control or manually, such as patients with hand treatment or infusion, so the server avoids virtual scenarios that patients use their hands or use neural control instead.

[0053] Further, in the delivery system, a delivery customer point clustering unit and a path planning unit are included;

[0054] The delivery customer point clustering unit is used to cluster the delivery customer points according to their locations, resulting in different clusters.

[0055] The path planning unit uses the center node of the cluster as the access node of the drone carrier and the customer points in the cluster as the access nodes of the drone, plans the paths of the drone and the drone carrier, and obtains the optimal path of the drone and the drone carrier during delivery.

[0056] The delivery system determines whether to use a drone carrier for transportation based on environmental factors. When the server detects that a single medical transportation device cannot reach the user's location alone, such as when the distance to the location area of the demand point exceeds the coverage range of a single transportation device or the route encounters severe weather or terrain.

[0057] Therefore, the server selects the optimal drone carrier in the area based on the order area and order situation, equips the sub-drones with the necessary medical equipment, and provides the sub-drones with the necessary medical equipment for replenishment, ensuring that the sub-drones have the necessary materials or energy for replenishment during rescue.

[0058] The delivery system is configured to be taken by the drone carrier to take the corresponding number of treatment equipment or to be taken by the drone to the drone carrier for transportation according to the number of patients or the condition.

[0059] That is, one person, one condition, or multiple people, multiple conditions, the server configures the corresponding number and condition of treatment equipment for delivery by drones or drone carriers.

[0060] At the same time, according to the real-time ordering of patients, the server arranges the drones in the optimal area to carry the treatment equipment to the drone carrier, and the drone carrier transports them to the patients.

[0061] The drone for delivering and transporting medical equipment by the drone carrier, after reaching the area where the demand point is located, carries the medical equipment to the demand point respectively to diagnose and treat the user. When the equipment or materials carried by the drone or rescued by the drone are insufficient, the drone carrier replenishes the equipment or materials for the drone, and after the treatment is completed, the drone carries the medical equipment back alone or returns to the carrier for return.

[0062] Further, when the drone reaches the area near the patient, the identification information sent by the patient client is obtained to identify the location of the patient.

[0063] The server obtains the horizontal positioning, vertical positioning, and orientation (floor orientation) of the patient's location. Among them, the vertical positioning refers to the floor filled in by the user, the window orientation of the accessible floor, the artificial intelligence transportation tool identifies the total floor of the building where the patient is located, and the floor position where the user is located is identified through the number of floors filled in by the patient. Through the corridor, the window enters, and delivers to the patient. If the user's floor cannot be accessed, the user is prompted to go downstairs to pick up the goods.

[0064] When the transportation tool (the drone cannot lock which floor and which user the user is on), the server sends information to the patient client, and the patient can identify and lock by making the specified gesture set by the server to the transportation tool, and flies to the floor where the patient is located for delivery. Or when the transportation tool reaches the floor orientation where the user is located, the server notifies the patient to open the mobile phone flash light in front of the window, and the transportation tool identifies the patient through the flash light frequency or mode set by the server, and delivers it to the patient's hand.

[0065] Or when the transportation tool reaches the floor orientation where the patient is located, the server notifies the patient to open the mobile phone speaker to play the corresponding sound, and the transportation tool identifies the user receiving the goods through the sound set by the server, and delivers it to the patient's hand.

[0066] When the patient is in a moving vehicle, the drone is configured to match the moving speed of the vehicle when delivering and land on the vehicle.

[0067] Specifically, when the patient needs treatment while driving in a vehicle, such as a high-speed vehicle, a train, a ship, or an airplane. When the patient chooses to receive treatment on the vehicle, the server obtains the user's location and related information, diagnoses the user first, and then determines whether to arrange a delivery to the treatment device. If needed, the server matches the patient with the optimal base of the hospital or medical robot.

[0068] Meanwhile, the server obtains the patient's location and whether the passing points obtained through the driving path will pass through complex terrain such as mountains, rivers, and forests, and avoids the location of the vehicle where the weather is bad through the weather to serve as the delivery point. Avoiding complex terrain and the location of the vehicle where the weather is bad to ensure that the medical tool can be delivered to the user on the moving vehicle.

[0069] If the vehicle does not start the automatic driving function, the patient is notified to start the automatic driving function so that it can synchronize the speed of the medical robot transport tool. If it has been started, the server arranges the drone to carry the medical robot to the patient's location, and then synchronizes the speed of the unmanned driving system of the vehicle where the patient is located. After the server synchronizes the speed of both, the drone lands on the vehicle, or lands on the drone landing device, and the patient confirms that it has been delivered. In this way, the patient in the moving vehicle is diagnosed and treated by the medical robot.

[0070] If the vehicle where the patient is located does not have an automatic driving function, the transport tool that transports the medical robot arrives near the target location, locks the vehicle, and detects that it has stopped moving, and then delivers the medical robot to the vehicle where the user is located.

[0071] When it is not convenient to deliver in the moving vehicle, the server analyzes the optimal point in the moving vehicle of the patient, and the transport tool delivers the robot to the optimal point. After the patient arrives at the point, the vehicle stops moving, and the medical robot is obtained. Or the server arranges the drone to deliver to the specified location, and then the robot or the errand runner delivers to the patient. After the diagnosis or treatment is completed, the medical device is automatically installed on the transport device or manually installed on the transport device by the user. After successful installation, the transport device carries the medical robot back.

[0072] Further, the delivery system comprises a control unit, which is configured to obtain the optimal flight height and speed of the UAV when passing through each area according to the area that the UAV needs to pass through from the starting point to the landing point and the positioning information of the patient, so that the patient obtains the corresponding treatment equipment at the optimal area and optimal time. For example, the delivery area and time of the patient are planned according to the order sequence of the patient, the severity of the patient's condition and a series of factors, so that each patient can obtain the corresponding treatment at the optimal area and optimal time.

[0073] The control unit is combined with the main server by setting the sub-area server, and synchronizes the data of the original server to the server in the sub-area after the transportation tool, the UAV or the transportation tool or the automatic driving vehicle reaches the area, such as the order, use and path of the UAV in the original server, and delivers it to the server in the sub-area as the leading arrangement. Thus, the transportation tools entering the sub-area can fly or stop in an orderly manner.

[0074] Meanwhile, the total server plans the area that the UAV needs to pass through from the starting point to the landing point under the jurisdiction of the area server, and plans the optimal flight height of the UAV when passing through each area under the jurisdiction of the area server, so that the UAV in the sub-area flies at the optimal height and optimal speed, thereby avoiding collision, rear-end collision and other problems.

[0075] Further, the sub-area server synchronizes the transportation tools entering the sub-area, controls the transportation tools and the automatic driving system thereof in the sub-area, and makes appropriate adjustment of the flight route planning without changing the original destination, so that the aircraft in the sub-area do not collide with each other.

[0076] The specific embodiments described herein are merely illustrative of the spirit of the present application. Those skilled in the art of the present application can make various modifications or supplements to the described specific embodiments or replace them with similar ways, without departing from the spirit of the present application or exceeding the scope defined by the appended claims.

Claims

1. A drone-based smart medical service system, characterized by: Including patient client, doctor client, server and distribution system; Both the patient client and the doctor client are connected to the server via the Internet. The patient client is used for patients to seek medical treatment online, and the doctor client is used for doctors to practice medicine online, and the corresponding treatment plan is sent to the patient client; The server is configured to respond to the patient client's request for door-to-door service to send the treatment plan to the delivery system; The distribution system is used to deliver items corresponding to the treatment plan to the patient.

2. The intelligent medical service system based on drone according to claim 1, characterized in that: The server is configured to classify the symptoms described by the patient client through artificial intelligence, perform auxiliary diagnosis based on the duration of illness, condition, and pathogen analysis, record the symptoms on the server, and send them to the doctor client.

3. The intelligent medical service system based on drone according to claim 1, characterized in that: The treatment plan is synchronized by the server to the corresponding medical cabin or treatment robot and wearable treatment device.

4. The intelligent medical service system based on drone according to claim 1, characterized in that: The server is configured to respond to the patient client's request to go to the hospital for medical treatment and push hospitals or medical cabins suitable for the patient to go to according to the current number of patients in each hospital.

5. The intelligent medical service system based on drone according to claim 1, characterized in that: The server is configured to send the disease detection plan to the distribution system in response to the patient client's request for disease diagnosis; the distribution system is used to transport the items or equipment corresponding to the disease detection plan to the patient, and return the collected samples to the designated location to complete the patient's disease diagnosis.

6. The intelligent medical service system based on drones according to claim 1, characterized in that: The distribution system delivers items corresponding to the treatment plan to the patient by drone transportation.

7. The intelligent medical service system based on drones according to claim 6, characterized in that: The items transported to the patient by the delivery system include a treatment robot or spare parts that can be mounted on the robot, and the treatment robot or spare parts that can be mounted on the robot are configured to treat the patient according to the treatment plan.

8. The intelligent medical service system based on drone according to claim 6, characterized in that: The distribution system includes a distribution customer point clustering unit and a path planning unit; The delivery customer point clustering unit is used to cluster the delivery customer points according to their locations to obtain different clusters; The path planning unit is used to use the central node of the cluster as the access node of the drone carrier, and the customer point in the cluster as the access node of the drone, to plan the path of the drone and drone service, and obtain the optimal path of the drone and drone service during the delivery process.

9. The intelligent medical service system based on drones according to claim 8, characterized in that: The distribution system determines whether to use a drone carrier for transportation based on environmental factors.

10. The intelligent medical service system based on drones according to claim 8, characterized in that: The distribution system is configured such that the drone carrier goes to pick up a corresponding number of treatment devices according to the number of patients or their condition, or the drones carry the corresponding number of treatment devices themselves and go to the drone carrier for transportation.

11. The intelligent medical service system based on drone according to claim 10, characterized in that: Based on the patient's real-time order, the server arranges drones in the optimal area to carry treatment equipment to the drone carrier, which then transports the equipment to the patient.

12. The drone-based smart medical service system according to claim 6, characterized in that: When the drone arrives near the patient's area, it obtains the identification information sent by the patient's client to identify the patient's location.

13. The intelligent medical service system based on drone according to claim 12, characterized in that: When the patient is in a moving vehicle, the drone is configured to match the speed of the vehicle during delivery so that it lands on the vehicle.

14. The intelligent medical service system based on drone according to claim 6, characterized in that: The delivery system includes a control unit, which is configured to obtain the optimal flight altitude and speed of the drone when passing through each area based on the area that the drone needs to pass through from the starting point to the landing point and the patient's positioning information, so that the patient can obtain the corresponding treatment equipment in the optimal area and at the optimal time.

15. The drone-based smart medical service system according to claim 6 can deliver the corresponding treatment equipment to other patients who need the treatment equipment in the optimal area based on the patients' real-time order cancellations.

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