CN112785278A - 5G intelligent mobile ward-round method and system based on edge cloud cooperation - Google Patents

5G intelligent mobile ward-round method and system based on edge cloud cooperation Download PDF

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CN112785278A
CN112785278A CN202110136475.3A CN202110136475A CN112785278A CN 112785278 A CN112785278 A CN 112785278A CN 202110136475 A CN202110136475 A CN 202110136475A CN 112785278 A CN112785278 A CN 112785278A
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赵杰
陈保站
翟运开
石小兵
王文超
刘冬清
何贤英
孙东旭
张延家
刘玉焘
黄山松
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First Affiliated Hospital of Zhengzhou University
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Abstract

The invention discloses a 5G intelligent mobile ward-round method and a system based on edge cloud cooperation, belonging to the technical field of communication, comprising the steps of configuring linkage rules at the sides of a medical cloud and an edge cloud by adopting an edge cloud cooperation mechanism, immediately controlling a mobile ward-round device to go to a designated patient bed through the edge cloud once the medical cloud receives a specialist mobile ward-round instruction by depending on a special network of 5G indoor medical industry, thereby realizing the intelligent control of the mobile ward-round device, solving the technical problems of realizing the real-time control of each mobile ward-round device, uploading vital sign data information in real time and intelligently applying a mobile ward-round system by utilizing an end-network-edge-cloud architecture, providing a method, a device and a system for solving the key problems of unreachable remote ward-round information of doctors, unhealthy physical examination equipment and the like based on the edge cloud cooperation mechanism, the ward-round service efficiency is more convenient and wider in application range.

Description

5G intelligent mobile ward-round method and system based on edge cloud cooperation
Technical Field
The invention belongs to the technical field of communication, and relates to a 5G intelligent mobile ward-round method and system based on edge cloud cooperation.
Background
With the rapid development and the continuous increase of the business volume of hospitals, the workload and the complexity of ward management are increased day by day, the response time and the service quality requirements of patients on ward rounds are increasingly expanded, and the safety, the effectiveness and the timeliness of the ward management cannot be ensured by the existing information system and the existing system architecture. In recent years, medical equipment manufacturers have introduced a series of mobile ward-round devices or systems, most of which rely on indoor wireless networks and use mobile terminals such as doctors PAD, notebooks, tablet computers and the like as carriers, so that doctors can check basic information of patients through handheld terminals. The current mobile ward-round system still has the following problems:
1. the network performance is insufficient and the compatibility is poor. The hospital mostly takes indoor WIFI and 4G network AP as the main part, has the conditions of long medical image response time, unstable network signals and the like, and is difficult to realize the interconnection and intercommunication of people, machines and objects, so that the terminal devices are mutually independent and difficult to cooperate.
2. The system is locally deployed, and data sharing is insufficient. With the gradual increase of the types of the digital medical terminals and the increase of the uploaded data volume, the centralized deployment of the system cannot meet the service requirements of real-time uploading of vital sign information of patients, real-time control of intelligent equipment, remote access of medical data and the like, the standards of multiple equipment interfaces are not uniform, the compatibility is poor, and the application depth and the application width of the mobile ward-round service are severely restricted.
3. The mobile ward inspection system has low intelligent degree and poor expansibility. At present, the mobile ward-round service needs a management bed doctor to bring a team to a patient bed for face-to-face inquiry and manually retrieve patient information, a portable medical terminal is lacked, the physical sign examination means is single, and the Multi-diagnosis (MDT) cooperative service cannot be timely developed for critically ill and difficult inpatients.
Disclosure of Invention
The invention aims to provide a 5G intelligent mobile ward-round method and a system based on edge-cloud cooperation, which solve the technical problems of realizing real-time control of each mobile ward-round device, real-time uploading of vital sign data information and intelligent application of a mobile ward-round system by utilizing an end-network-edge-cloud architecture.
In order to achieve the purpose, the invention adopts the following technical scheme:
A5G intelligent mobile ward-round method based on edge cloud cooperation comprises the following steps:
step 1: the method comprises the steps that a master physician registers basic information of the physician and face biological information of the physician at a physician client, and the client uploads the basic information of the physician and the face biological information of the physician to a medical cloud for storage through a 5G network;
the method comprises the steps that a principal doctor initiates a login request at a client by means of registered personal basic information or face biological information, the client sends the login request to a medical cloud for checking, the medical cloud checks the basic doctor information of the principal doctor and the face biological information of the doctor, and a login success message is sent to the client after the checking is successful;
establishing electronic maps of hospitals in both the edge cloud and the medical cloud;
step 2: the mobile ward-round device sends own position information and a device serial number to the edge cloud through the 5G network, and after the edge cloud acquires the position information and the device serial number of the mobile ward-round device, a device online state list is generated and sent to the medical cloud;
and step 3: the method comprises the steps that a chief and ren doctor sends a ward-round instruction to a medical cloud through a doctor client, and the medical cloud sends the ward-round instruction to a border cloud;
and 4, step 4: after receiving the ward round command, the edge cloud analyzes the patient bed information in the ward round command, takes the patient bed information as a destination according to the position information of the mobile ward round device as a departure place, and generates a navigation route according to an electronic map of the hospital;
the edge cloud sends the navigation route generated by the edge cloud to the medical cloud, the medical cloud screens the navigation routes of all the edge clouds to obtain the navigation route with the shortest distance, and the edge cloud corresponding to the navigation route is set as an edge cloud A;
the medical cloud issues an execution ward-round instruction to the edge cloud A, the edge cloud A distributes the mobile ward-round device, and sends the ward-round instruction to the mobile ward-round device;
and 5: the mobile ward-round device replans the running track according to the position information of the mobile ward-round device, the electronic map and the coordinates of the destination, and performs ward-round according to the running track;
the mobile ward-round device carries out obstacle detection according to a laser radar, a field depth camera or a camera which are equipped by the mobile ward-round device, and a moving track of the mobile ward-round device is formulated according to a real-time obstacle detection result;
step 6: after the mobile ward-round device moves to a destination, reminding the patient to perform face recognition through voice, and shooting a portrait picture of the face of the patient through a camera;
the mobile ward inspection device extracts the face characteristic information of the patient at different time through the artificial neural network, and compares the face characteristic information with the face sample characteristic information registered by the patient for a plurality of times for verification, wherein the verification result is used for indicating whether the face in the face portrait picture of the patient is a patient to be checked in advance;
and 7: after confirming that the patient is a pre-ward-examination patient, the mobile ward-examination device prompts the patient to perform remote inquiry, and after the patient agrees, the mobile ward-examination device uploads the patient information to a medical cloud from an edge cloud, and the medical cloud sends the patient information to a doctor client for a principal doctor to check;
the patient information is medical image-text information;
and 8: the mobile ward-round device collects vital sign data of a patient and uploads the vital sign data to the edge cloud for storage.
Preferably, the medical image-text information comprises an electronic patient record, examination and inspection, a medical image and a medical order, and the electronic patient record is generated according to the identity ID of the patient to complete the integration of the electronic archive information; the doctor orders are used for synchronously recording and storing all reading, writing and executing actions of the chief and the medical doctor;
the chief and ren doctors write medical orders on line through the doctor client, the medical orders are downloaded to the edge cloud through the medical cloud, and the edge cloud receives the medical orders and pushes the relevant inpatient workstations and nurse workstations.
Preferably, the vital sign data supports two data synchronization modes of online real-time uploading and centralized uploading; the online real-time uploading means that a specialist remotely guides a resident to acquire vital sign data on line, and the acquired data can be remotely presented in real time; the centralized uploading means that when the hospitalized doctors execute the medical advice to make the ward round, the border cloud storage is stored and the medical cloud is uploaded synchronously after data acquisition is completed, and the medical cloud directionally sends a prompt to the chief and the officers to check the ward round, so that the ward round management service is provided.
Preferably, when step 7 is executed, the mobile ward-round device provides online consultation service for the patient, the patient applies for consultation through the mobile ward-round device to generate consultation application information, and after the consultation application information is approved by the inpatient or the remote chief and officer, the mobile ward-round device is informed by the edge cloud to start video inquiry.
Preferably, the edge cloud supports video online recording and video offline on-demand, and the video online recording is to record and store the whole consultation and ward-visit process so as to realize online recording and daily supervision of ward-visit behaviors; the video on-demand is to upload video data obtained by desensitizing patient information of the locally recorded ward round videos to the medical cloud for basic-level doctors and training doctors to order and learn.
The 5G intelligent mobile ward-round system based on the edge cloud coordination and matched with the 5G intelligent mobile ward-round method based on the edge cloud coordination of claim 1,
the system comprises a doctor client, a medical cloud, a plurality of edge clouds and a plurality of mobile ward-round devices, wherein the doctor client is communicated with the medical cloud through a 5G network, the medical cloud is communicated with all the edge clouds through the 5G network, and the mobile ward-round devices select the edge clouds according to the geographic positions of the mobile ward-round devices and are communicated with the edge clouds through the 5G network;
the mobile ward inspection device comprises a 5G network transceiver, audio and video input and output equipment, a human-computer interface, a face recognition module, a data acquisition module, a data sharing module, an intelligent tracking module, an AI face recognition module and an identity authentication module;
the 5G network transceiver is used for accessing a 5G medical industry network and receiving and transmitting system interaction data;
the audio and video input and output equipment is used for acquiring input and output of audio and video data in a ward-round scene;
the human-computer interface is used for displaying the medical data information of the patient, and performing on-screen operation and information sharing with a remote chief physician;
the face recognition module mirrors the acquired portrait picture of the face of the patient to the AI face recognition module and the identity authentication module; the AI face recognition module is used for storing the characteristic information of the patient face image sample and verifying the face image in real time and generating a face recognition monitoring result; the identity authentication module is used for receiving the face recognition result and the unified identity authentication of the ward-round system module;
the data acquisition module is used for on-site acquisition of patient clinical physical examination and vital sign data, and the acquired data supports synchronous storage of the edge cloud and the medical cloud;
the data sharing module is used for receiving an operation instruction of a master physician, processing heterogeneous data and synchronizing data information of a medical cloud and an edge cloud;
the intelligent tracking module is used for controlling the forward and backward movement and the rotation of the angle of the mobile ward-round device in different directions of front, back, left and right;
preferably, the 5G network transceiver is a 5G communication module, and its model is a 4G/5G full-network communication remote transmission module IE PRO 200; the audio and video input and output device comprises a microphone and a loudspeaker, the human-computer interface is a display screen, the face recognition module is connected with an external camera, and the face recognition module, the data acquisition module, the data sharing module, the intelligent tracking module, the AI face recognition module and the identity authentication module are all arranged in the same industrial personal computer.
The invention discloses a 5G intelligent mobile ward-round method and a system based on edge-cloud cooperation, which solve the technical problems of realizing real-time control of each mobile ward-round device, real-time uploading of vital sign data information and intelligent application of a mobile ward-round system by utilizing an end-network-edge-cloud architecture; the method comprises the steps of constructing a mobile ward-round system vertical linkage service system with the assistance of technologies such as a 5G network, an edge cloud, a medical cloud, an intelligent mobile ward-round terminal and the like, transmitting an instruction of mobile ward-round of a principal and a subordinate physician and on-line inquiry of a patient by means of a 5G medical industry communication network, and instructing a mobile ward-round device to go to a patient bed to sample video face image information, extract characteristic information and check sample characteristic information, completing unified patient identity authentication through multiple checks, realizing service shunting by the edge cloud, processing the control instruction in real time, realizing medical information synchronization and integration of medical record files by the medical cloud, and further realizing the mobility and intellectualization of ward-round services. The invention provides a method, a device and a system for solving key problems of unreachable remote ward-round information of doctors, unsound physical examination equipment and the like on the basis of a side cloud cooperation mechanism, so that the ward-round service efficiency is more convenient and the application range is wider.
Drawings
FIG. 1 is a system architecture diagram of the present invention;
FIG. 2 is a flow chart of embodiment 1 of the present invention;
FIG. 3 is a schematic interface diagram of an industrial personal computer of the present invention.
Detailed Description
Example 1:
as shown in fig. 1 to fig. 3, a 5G intelligent mobile ward-round method based on edge cloud coordination includes the following steps:
step 1: the method comprises the steps that a master physician registers basic information of the physician and face biological information of the physician at a physician client, and the client uploads the basic information of the physician and the face biological information of the physician to a medical cloud for storage through a 5G network;
the method comprises the steps that a principal doctor initiates a login request at a client by means of registered personal basic information or face biological information, the client sends the login request to a medical cloud for checking, the medical cloud checks the basic doctor information of the principal doctor and the face biological information of the doctor, and a login success message is sent to the client after the checking is successful;
establishing electronic maps of hospitals in both the edge cloud and the medical cloud;
the medical cloud adopts a 5G medical industry network, the 5G medical industry network logically divides a physical network into an exclusive network and a shared network by using a logic network slicing technology, and different logic network slices serve different scenes.
The private network is oriented to medical services in a hospital, and 5G is used as a wireless network or a wired network for accessing and covering a hospital area of a medical institution;
the sharing-along network is accessed to the hospital-outside and the hospital-to-hospital medical services at any time and any place, and a 5G virtual special wireless network for the medical industry capable of providing QOS guarantee is constructed.
Step 2: the mobile ward-round device sends own position information and a device serial number to the edge cloud through the 5G network, and after the edge cloud acquires the position information and the device serial number of the mobile ward-round device, a device online state list is generated and sent to the medical cloud;
the invention relies on a 5G medical industry network built in a medical institution, adopts a side cloud coordination mechanism, and by means of the mobile ward-round device, the medical data collector, the edge cloud and the medical cloud, a ward-round doctor can access the medical cloud through a mobile phone end or a computer end to complete command issuing, and the edge cloud controls the mobile ward-round device to perform automatic tracking, identity recognition, medical record retrieval on-line inquiry and data acquisition, so that intelligent coordination of mobile ward-round services is realized.
The medical cloud is a medical health service system constructed by using a 'cloud computing' concept, in the embodiment, a regional medical center or a medical private cloud is used as a support, an electronic medical record is used as a core, all internal high-performance computing, storage and network resources are integrated and linked with the upper and lower levels of an edge cloud, the conditions of network resources, IT resources, system safety and the like of the whole network are uniformly managed and scheduled, seamless butt joint is realized between a UPF (unified power flow) industry gateway and a hospital internal network, the medical service network is accessed at any time and any place through an operator network, real-time acquisition and state analysis of data of equipment access state, network bandwidth, network flow and network safety can be realized, and the network bandwidth and a network safety defense strategy can be automatically adapted according to historical network data of access service types
The invention adopts a side cloud cooperation mechanism, which comprises three parts of a cloud processing unit, an edge cloud processing unit and a medical service linkage rule:
the cloud processing unit comprises a 5G medical special network, a UPF gateway, a data integration gateway infrastructure and a 5G intelligent mobile ward-round system;
the edge cloud processing unit comprises 5G room branch equipment, an edge gateway, intelligent data acquisition equipment, a mobile ward-round device and a hospital information system which are deployed in a hospital ward;
the medical service linkage rule is that received data are classified, evaluated and processed according to local service types and data processing capacity, the received data are split into a plurality of subtasks which are respectively distributed to different nodes to be executed, after each subtask is completed, a corresponding intermediate file is generated, the generated intermediate file is used as input data of other subtasks, all the subtasks are used for decomposing a medical service processing process, micro-service, data distribution, equipment control, distributed computation and hierarchical right distribution management of information safety of a medical system are achieved, and integrated cooperative service of hospital-hospital room-outside mobile ward rounds is supported.
The side cloud cooperation mechanism acquires real-time service data and a control instruction of the intelligent mobile ward-round system through a 5G medical industry network, and realizes edge cloud local distribution of service data and uploading or downloading of medical cloud data according to a network transmission data type and a mobile ward-round system side cloud cooperation strategy, wherein the edge cloud is mainly responsible for acquisition of medical data, analysis and processing of small data, real-time control of intelligent medical equipment and the like, and the medical cloud is mainly responsible for concurrent processing of complex data, structuralization of heterogeneous data and multi-service medical service cooperation; meanwhile, the service data are stored in the edge cloud and the medical cloud after being classified and processed, the data are synchronously recorded and cannot be tampered, and the real-time performance, the safety and the reliability of data interaction are guaranteed.
In this embodiment, the medical data acquisition device is a digital medical device such as a thermometer, a sphygmomanometer, a stethoscope, an ear thermometer, an electrocardiograph, a B-ultrasonic machine, and the like.
The medical data collector supports convergence access of non-cellular networks such as WIFI, Bluetooth, ZigBee and wired networks in the medical institution, collected data are transmitted to the industrial personal computer, and the industrial personal computer uploads the collected data to the edge cloud through the 5G network.
The edge cloud has complete IAAS, PAAS and SAAS capabilities, provides an operation carrier for a service system of a medical institution, and is matched with a medical data collector to realize local transmission and end-to-end rapid processing of data.
The mobile ward-round device, the edge cloud and the medical cloud form a distributed computing node together, and edge intelligent service is provided nearby; an independent service server is adopted, and any number of foreground workstations and mobile terminals can be accessed for expansion, so that real-time interaction with a hospital information system is realized; the intelligent medical service system meets the key requirements of the intelligent medical industry on agile connection, real-time service, data optimization, application intelligence, safety, privacy protection and the like.
In this embodiment, the physician client includes a ward-round physician who logs in the system by verifying personal basic information or physiological sign information (face identification or fingerprint) through desktop end software or a mobile phone end APP by means of a smart phone or a physician office computer, and the system calls a related visual interface according to the user system distribution authority; the visual interface mainly comprises modules of remote ward-round, patient medical record information, a mobile ward-round device, an expert database, information push, system management and the like;
the remote ward-round module is used for remotely connecting a video acquisition module of the mobile ward-round device by a ward-round doctor so as to realize audio-video conversation between the expert side and the patient side;
the patient medical record information module is mainly used for retrieving electronic medical record information such as chief complaints, current medical history, examination and inspection, medical images, medical course records and the like of a patient during hospitalization, and meanwhile, is used for recording expert ward-visit suggestions and revising to form medical advice;
the expert database is an expert list in the medical institution or regional medical institution and is used for the ward-visit doctor to browse information such as the name, the affiliated department, the title, the name of the medical institution, personal specialties and the like of the on-line expert, click to invite to the meeting and realize the summoning of the multiparty video conference;
the information pushing module is used for the ward rounding doctor to issue the ward rounding arrangement, the doctor advice reminding and the ward rounding information synchronization;
the system management module is mainly used for equipment registration, personnel registration, equipment management, network topology, personnel management, service inquiry, service function customization, authority management, log inquiry and the like.
And step 3: the method comprises the steps that a chief and ren doctor sends a ward-round instruction to a medical cloud through a doctor client, and the medical cloud sends the ward-round instruction to a border cloud;
and 4, step 4: after receiving the ward round command, the edge cloud analyzes the patient bed information in the ward round command, takes the patient bed information as a destination according to the position information of the mobile ward round device as a departure place, and generates a navigation route according to an electronic map of the hospital;
the edge cloud sends the navigation route generated by the edge cloud to the medical cloud, the medical cloud screens the navigation routes of all the edge clouds to obtain the navigation route with the shortest distance, and the edge cloud corresponding to the navigation route is set as an edge cloud A;
the medical cloud issues an execution ward-round instruction to the edge cloud A, the edge cloud A distributes the mobile ward-round device, and sends the ward-round instruction to the mobile ward-round device;
and 5: the mobile ward-round device replans the running track according to the position information of the mobile ward-round device, the electronic map and the coordinates of the destination, and performs ward-round according to the running track;
the mobile ward-round device carries out obstacle detection according to a laser radar, a field depth camera or a camera which are equipped by the mobile ward-round device, and a moving track of the mobile ward-round device is formulated according to a real-time obstacle detection result;
in this embodiment, the mobile ward round device is used as a front end of medical data collection and medical service, and the formulation of the movement track of the mobile ward round device is realized through the following steps:
step S1: an intelligent tracking module, a data acquisition module, an information real-time synchronization module and a man-machine interface are arranged in an industrial personal computer of the mobile ward-round device;
step S2: after receiving the ward round instruction, the intelligent tracking module scans the spatial position of a ward in real time, plans a route in real time and avoids obstacles according to the information of objects in the surrounding environment acquired by an electronic map and sensors such as ultrasonic waves, a laser radar and a camera, automatically controls the mobile ward round device to go to a preset ward and a preset sickbed, and automatically corrects the angle and the camera angle according to a preset position; the preset position is the spatial geographical position information of the ward and the ward which are established by the mobile ward-round device through ultrasonic waves, a laser radar and a camera; the sensors such as the ultrasonic wave, the laser radar and the camera are communicated with an industrial personal computer in the mobile ward inspection device through a serial port bus;
step S3: after the data acquisition module receives the acquisition instruction, the system prompts medical personnel to complete the acquisition of vital sign information through the medical data acquisition device according to the disease examination and examination requirements of the patient;
the data acquisition module sends a sign data acquisition instruction to the industrial personal computer, the industrial personal computer prompts medical care personnel to check and examine the requirements according to the diseases of the patients through a human-computer interface, the acquisition of vital sign information is completed through digital medical equipment such as an integrated thermometer, a sphygmomanometer, a stethoscope, an ear thermometer, an electrocardiograph, a B-ultrasonic machine and the like, the acquired vital sign information is input through the human-computer interface, and the industrial personal computer locally stores and displays the vital sign information, so that the ward-round efficiency is improved;
step S4: the information real-time synchronization module automatically associates the hospitalized electronic medical record system according to the face identification information of the patient, opens an electronic medical record directory of the patient for a ward-round doctor to remotely browse online, and comprises a face identification module, an AI face identification module and an identity authentication module;
step S5: the mobile ward-round device has the video recording and doctor's advice recording functions, the video recording supports the ward-round process playback function, and the hospital business supervision capacity and the service level of clinical medical staff are improved; the medical advice records support the ward-round doctor to write medical advice on line or upload the medical advice on line, and the synchronous transmission of information of the doctor workstation and the nurse workstation can be realized.
Step 6: after the mobile ward-round device moves to a destination, reminding the patient to perform face recognition through voice, and shooting a portrait picture of the face of the patient through a camera;
the mobile ward inspection device extracts the face characteristic information of the patient at different time through the artificial neural network, and compares the face characteristic information with the face sample characteristic information registered by the patient for a plurality of times for verification, wherein the verification result is used for indicating whether the face in the face portrait picture of the patient is a patient to be checked in advance;
the portrait picture of the face of the patient is a real face image obtained by the ward-round system under different backgrounds, different light rays or different shielding degrees.
And 7: after confirming that the patient is a pre-ward-examination patient, the mobile ward-examination device prompts the patient to perform remote inquiry, and after the patient agrees, the mobile ward-examination device uploads the patient information to a medical cloud from an edge cloud, and the medical cloud sends the patient information to a doctor client for a principal doctor to check;
the patient information is medical image-text information;
and 8: the mobile ward-round device collects vital sign data of a patient and uploads the vital sign data to the edge cloud for storage.
Preferably, the medical image-text information comprises an electronic patient record, examination and inspection, a medical image and a medical order, and the electronic patient record is generated according to the identity ID of the patient to complete the integration of the electronic archive information; the doctor orders are used for synchronously recording and storing all reading, writing and executing actions of the chief and the medical doctor;
the chief and ren doctors write medical orders on line through the doctor client, the medical orders are downloaded to the edge cloud through the medical cloud, and the edge cloud receives the medical orders and pushes the relevant inpatient workstations and nurse workstations.
Preferably, the vital sign data supports two data synchronization modes of online real-time uploading and centralized uploading; the online real-time uploading means that a specialist remotely guides a resident to acquire vital sign data on line, and the acquired data can be remotely presented in real time; the centralized uploading means that when the hospitalized doctors execute the medical advice to make the ward round, the border cloud storage is stored and the medical cloud is uploaded synchronously after data acquisition is completed, and the medical cloud directionally sends a prompt to the chief and the officers to check the ward round, so that the ward round management service is provided.
Preferably, when step 7 is executed, the mobile ward-round device provides online consultation service for the patient, the patient applies for consultation through the mobile ward-round device to generate consultation application information, and after the consultation application information is approved by the inpatient or the remote chief and officer, the mobile ward-round device is informed by the edge cloud to start video inquiry.
Preferably, the edge cloud supports video online recording and video offline on-demand, and the video online recording is to record and store the whole consultation and ward-visit process so as to realize online recording and daily supervision of ward-visit behaviors; the video on-demand is to upload video data obtained by desensitizing patient information of the locally recorded ward round videos to the medical cloud for basic-level doctors and training doctors to order and learn.
Fig. 2 shows an application scenario of the present embodiment, which includes the following steps:
step S100: acquiring login information of a doctor, verifying the login information, and opening a corresponding visual interface of the mobile ward-round system by the medical cloud after the verification is finished; acquiring a mobile ward-round operation instruction of a doctor, wherein the number and the serial number of the mobile ward-round devices are not limited in the embodiment of the application;
step S200: analyzing a mobile ward-round operation instruction of a doctor, issuing the operation instruction to an edge cloud or an edge cloud local analysis instruction through a medical cloud, establishing a video session through the operation instruction by a system, and automatically loading current position information, map information, target position information and an automatic navigation module; the mobile ward-round device integrates the SLAM algorithm and the 3D machine vision by utilizing the multi-sensor fusion technology of a depth-of-field camera, a laser radar, ultrasonic waves and the like, realizes the functions of space position positioning, automatic navigation, intelligent obstacle avoidance and the like, and has the advantages of strong ambient light interference resistance, high measurement precision and capability of reaching the mm level;
step S300: after the mobile ward-round device reaches a preset position, a video conference system is started to record, the recorded video is used as a detection video sample, facial image information and patient registration sample information in different time periods and different illumination are extracted from the edge cloud to be verified, and a living body detection result is generated by the system; the number of the face image detection samples to be detected can be configured in advance, and the embodiment of the application is not limited. If the face recognition fails, the system sends a mobile ward-round reminder to the patient and the family;
step S400: step S300 and after the steps are completed, the medical cloud automatically calls the electronic medical record information of the patient, and the remote control authority is opened to a ward-round doctor workstation for the doctor to browse; the patient electronic medical record comprises current medical information inquiry and historical medical record information; meanwhile, the mobile ward-round device starts the audio and video call function, so that the ward-round doctor and the patient face to face, and the aim of remote ward-round is fulfilled; after the audio and video communication function is started, the recording and broadcasting server is synchronously started to record the pictures, basic operations (including doctor's advice writing, case history browsing and the like) and audio of the ward-round doctors, data information and patients;
step S500: the border cloud acquires an instant physical examination instruction of a patient, the system pops up an information acquisition method prompt box, a resident acquires information by using corresponding sign parameter digital equipment according to prompt information, the data is automatically uploaded to the border cloud for storage after the data acquisition is finished, the border cloud transmits the data to a medical cloud by depending on a 5G medical network, and the medical cloud sends the data to ward-ward display equipment for browsing; after the physical examination is finished, fading out an equipment homing interface by the system to remind a resident of placing the equipment in the original position; the digital equipment comprises an ear thermometer, a sphygmomanometer, an electrocardiograph, finger pulse oxygen, a blood glucose meter, a stethoscope, blood conventional test paper and the like;
step S600: s400 or S500 and after the steps are finished, the system automatically stores the video of the previous ward-round process, and the edge cloud recording and broadcasting server automatically stores locally and synchronously uploads the medical cloud; if the system receives the command of ending the ward round, the system stops the audio and video call function, the edge cloud controls the mobile ward round device to return to the pile for charging, and the system displays that the mobile device is on line and the state is normal; if the system receives the mobile ward-round command, the service flow restarts at S100.
Example 2:
the 5G intelligent mobile ward-round system based on edge cloud coordination, which is matched with the 5G intelligent mobile ward-round method based on edge cloud coordination of claim 1, in embodiment 2, is configured to implement embodiment 1:
the system comprises a doctor client, a medical cloud, a plurality of edge clouds and a plurality of mobile ward-round devices, wherein the doctor client is communicated with the medical cloud through a 5G network, the medical cloud is communicated with all the edge clouds through the 5G network, and the mobile ward-round devices select the edge clouds according to the geographic positions of the mobile ward-round devices and are communicated with the edge clouds through the 5G network;
the mobile ward inspection device comprises a 5G network transceiver, audio and video input and output equipment, a human-computer interface, a face recognition module, a data acquisition module, a data sharing module, an intelligent tracking module, an AI face recognition module and an identity authentication module;
the 5G network transceiver is used for accessing a 5G medical industry network and receiving and transmitting system interaction data, the 5G network transceiver is used for network communication of various data, the 5G SI M card is associated with services and customized, mutual isolation of a common user network and the medical industry network is achieved, meanwhile, separation of service data and control data is supported, and requirements of medical network customized management and service safety are met.
The audio and video input and output equipment is used for acquiring input and output of audio and video data in a ward-round scene;
the human-computer interface is used for displaying the medical data information of the patient, and performing on-screen operation and information sharing with a remote chief physician;
the face recognition module mirrors the acquired portrait picture of the face of the patient to the AI face recognition module and the identity authentication module; the AI face recognition module is used for storing the characteristic information of the patient face image sample and verifying the face image in real time and generating a face recognition monitoring result; the identity authentication module is used for receiving the face recognition result and the unified identity authentication of the ward-round system module;
in this embodiment: the face recognition module is used for acquiring a video to be detected, extracting face image characteristic information in the video, acquiring target sample information, memorizing a detection result and determining the detection result; before the video to be detected is obtained and used for system awakening, after an operator selects a face recognition mode to perform identity authentication, video data collected by a video unit; extracting a face contour region from a video sequence and carrying out region segmentation to obtain position and size information of characteristic points such as eyes, mouths, eyebrows and the like; the acquisition of the target sample information refers to that the system downloads face registration feature information according to the hospitalization number of the target patient for comparison detection of the face feature information; the memory detection result is used for storing a system monitoring result after random sampling (the sample is not less than 3 times) in the video; the determination detection result is a statistical result analysis based on a plurality of detection results; the memory result comprises a detection passing mode and a detection non-passing mode, the result type is related to the face recognition matching threshold value, the matching threshold value can be set independently (the range is 80% -100%), if the face recognition result is larger than the set threshold value, the detection is passed, otherwise, the detection is not passed; and if the detection results pass 3 times, the face recognition is successful.
The data acquisition module is used for on-site acquisition of patient clinical physical examination and vital sign data, and the acquired data supports synchronous storage of the edge cloud and the medical cloud;
in this embodiment, the data acquisition module classifies, cleans and aggregates patient clinical physical examination and vital sign data, supports acquisition, processing and storage of medical information acquired by audio, video, patient HIS, LIS, PACS and various digital medical devices, and can realize offline local storage, online synchronization and offline continuous transmission of interactive data.
The data sharing module is used for receiving an operation instruction of a master physician, processing heterogeneous data and synchronizing data information of a medical cloud and an edge cloud;
the intelligent tracking module is used for controlling the forward and backward movement and the rotation of the angle of the mobile ward-round device in different directions of front, back, left and right;
the intelligent tracking module comprises interfaces and drivers of sensors such as a depth-of-field camera and a laser radar, and is used for environment map construction, multi-machine cooperation, positioning navigation, path planning, full-dimensional sensing and intelligent obstacle avoidance of the mobile ward-round device.
Preferably, the 5G network transceiver is a 5G communication module, and its model is a 4G/5G full-network communication remote transmission module IE PRO 200; the audio and video input and output device comprises a microphone and a loudspeaker, the human-computer interface is a display screen, the face recognition module is connected with an external camera, and the face recognition module, the data acquisition module, the data sharing module, the intelligent tracking module, the AI face recognition module and the identity authentication module are all arranged in the same industrial personal computer.
As shown in fig. 3, in this embodiment, the industrial personal computer is an Intelligent-pc type industrial personal computer, and has a memory capacity of 8GB, a hard disk capacity of 128GB, a CPU master frequency of 1.8GHz-2.4GHz, a type of 2130, a type of a display card, a type of an integrated display card, a type of a sound card, an integrated sound card, and a memory frequency of 1333 MHz. The industrial computer has 5 serial ports, 2 USB interfaces, 2 net gapes, an HDMI interface.
The laser radar is an SK-Z-5 type TOF laser radar ranging module, and data interaction is performed by adopting a USB interface;
the camera adopts a USB interface camera.
The intelligent tracking module is used for driving an external robot chassis, the robot chassis adopts a D1-50 type robot chassis of Dashgo series, and communication with an industrial personal computer is realized through a serial port.
The mobile ward-round device adopts a multimedia, MQTT and fixed-mobile network fusion communication technology to realize cooperation of remote ward-round, online inquiry, multi-dimensional medical data acquisition and medical service of experts.
The invention discloses a 5G intelligent mobile ward-round method and a system based on edge-cloud cooperation, which solve the technical problems of realizing real-time control of each mobile ward-round device, real-time uploading of vital sign data information and intelligent application of a mobile ward-round system by utilizing an end-network-edge-cloud architecture; the method comprises the steps of constructing a mobile ward-round system vertical linkage service system with the assistance of technologies such as a 5G network, an edge cloud, a medical cloud, an intelligent mobile ward-round terminal and the like, transmitting an instruction of mobile ward-round of a principal and a subordinate physician and on-line inquiry of a patient by means of a 5G medical industry communication network, and instructing a mobile ward-round device to go to a patient bed to sample video face image information, extract characteristic information and check sample characteristic information, completing unified patient identity authentication through multiple checks, realizing service shunting by the edge cloud, processing the control instruction in real time, realizing medical information synchronization and integration of medical record files by the medical cloud, and further realizing the mobility and intellectualization of ward-round services. The invention provides a method, a device and a system for solving key problems of unreachable remote ward-round information of doctors, unsound physical examination equipment and the like on the basis of a side cloud cooperation mechanism, so that the ward-round service efficiency is more convenient and the application range is wider.

Claims (7)

1. A5G intelligent mobile ward-round method based on edge cloud cooperation is characterized in that: the method comprises the following steps:
step 1: the method comprises the steps that a master physician registers basic information of the physician and face biological information of the physician at a physician client, and the client uploads the basic information of the physician and the face biological information of the physician to a medical cloud for storage through a 5G network;
the method comprises the steps that a principal doctor initiates a login request at a client by means of registered personal basic information or face biological information, the client sends the login request to a medical cloud for checking, the medical cloud checks the basic doctor information of the principal doctor and the face biological information of the doctor, and a login success message is sent to the client after the checking is successful;
establishing electronic maps of hospitals in both the edge cloud and the medical cloud;
step 2: the mobile ward-round device sends own position information and a device serial number to the edge cloud through the 5G network, and after the edge cloud acquires the position information and the device serial number of the mobile ward-round device, a device online state list is generated and sent to the medical cloud;
and step 3: the method comprises the steps that a chief and ren doctor sends a ward-round instruction to a medical cloud through a doctor client, and the medical cloud sends the ward-round instruction to a border cloud;
and 4, step 4: after receiving the ward round command, the edge cloud analyzes the patient bed information in the ward round command, takes the patient bed information as a destination according to the position information of the mobile ward round device as a departure place, and generates a navigation route according to an electronic map of the hospital;
the edge cloud sends the navigation route generated by the edge cloud to the medical cloud, the medical cloud screens the navigation routes of all the edge clouds to obtain the navigation route with the shortest distance, and the edge cloud corresponding to the navigation route is set as an edge cloud A;
the medical cloud issues an execution ward-round instruction to the edge cloud A, the edge cloud A distributes the mobile ward-round device, and sends the ward-round instruction to the mobile ward-round device;
and 5: the mobile ward-round device replans the running track according to the position information of the mobile ward-round device, the electronic map and the coordinates of the destination, and performs ward-round according to the running track;
the mobile ward-round device carries out obstacle detection according to a laser radar, a field depth camera or a camera which are equipped by the mobile ward-round device, and a moving track of the mobile ward-round device is formulated according to a real-time obstacle detection result;
step 6: after the mobile ward-round device moves to a destination, reminding the patient to perform face recognition through voice, and shooting a portrait picture of the face of the patient through a camera;
the mobile ward inspection device extracts the face characteristic information of the patient at different time through the artificial neural network, and compares the face characteristic information with the face sample characteristic information registered by the patient for a plurality of times for verification, wherein the verification result is used for indicating whether the face in the face portrait picture of the patient is a patient to be checked in advance;
and 7: after confirming that the patient is a pre-ward-examination patient, the mobile ward-examination device prompts the patient to perform remote inquiry, and after the patient agrees, the mobile ward-examination device uploads the patient information to a medical cloud from an edge cloud, and the medical cloud sends the patient information to a doctor client for a principal doctor to check;
the patient information is medical image-text information;
and 8: the mobile ward-round device collects vital sign data of a patient and uploads the vital sign data to the edge cloud for storage.
2. The 5G intelligent mobile ward-round method based on edge cloud coordination of claim 1, characterized in that: the medical image-text information comprises an electronic patient record, examination and inspection, a medical image and medical advice, and the electronic patient record is generated according to the identity ID of the patient to complete the integration of the electronic file information; the doctor orders are used for synchronously recording and storing all reading, writing and executing actions of the chief and the medical doctor;
the chief and ren doctors write medical orders on line through the doctor client, the medical orders are downloaded to the edge cloud through the medical cloud, and the edge cloud receives the medical orders and pushes the relevant inpatient workstations and nurse workstations.
3. The 5G intelligent mobile ward-round method based on edge cloud coordination of claim 1, characterized in that: the vital sign data supports two data synchronization modes of online real-time uploading and centralized uploading; the online real-time uploading means that a specialist remotely guides a resident to acquire vital sign data on line, and the acquired data can be remotely presented in real time; the centralized uploading means that when the hospitalized doctors execute the medical advice to make the ward round, the border cloud storage is stored and the medical cloud is uploaded synchronously after data acquisition is completed, and the medical cloud directionally sends a prompt to the chief and the officers to check the ward round, so that the ward round management service is provided.
4. The 5G intelligent mobile ward-round method based on edge cloud coordination of claim 1, characterized in that: when step 7 is executed, the mobile ward-round device provides online consultation service for the patient, the patient applies for consultation through the mobile ward-round device to generate consultation application information, and after the consultation application information is approved by an inpatient or a remote chief and officer, the mobile ward-round device is informed by the edge cloud to start video inquiry.
5. The 5G intelligent mobile ward-round method based on edge cloud coordination of claim 1, characterized in that: the edge cloud supports video on-line recording and video off-line on-demand, and the video on-line recording is to record and store the whole process of consultation and ward-round so as to realize on-line recording and daily supervision of ward-round behaviors; the video on-demand is to upload video data obtained by desensitizing patient information of the locally recorded ward round videos to the medical cloud for basic-level doctors and training doctors to order and learn.
6. The 5G intelligent mobile ward-round system based on edge cloud coordination matched with the 5G intelligent mobile ward-round method based on edge cloud coordination of claim 1, characterized in that:
the system comprises a doctor client, a medical cloud, a plurality of edge clouds and a plurality of mobile ward-round devices, wherein the doctor client is communicated with the medical cloud through a 5G network, the medical cloud is communicated with all the edge clouds through the 5G network, and the mobile ward-round devices select the edge clouds according to the geographic positions of the mobile ward-round devices and are communicated with the edge clouds through the 5G network;
the mobile ward inspection device comprises a 5G network transceiver, audio and video input and output equipment, a human-computer interface, a face recognition module, a data acquisition module, a data sharing module, an intelligent tracking module, an AI face recognition module and an identity authentication module;
the 5G network transceiver is used for accessing a 5G medical industry network and receiving and transmitting system interaction data;
the audio and video input and output equipment is used for acquiring input and output of audio and video data in a ward-round scene;
the human-computer interface is used for displaying the medical data information of the patient, and performing on-screen operation and information sharing with a remote chief physician;
the face recognition module mirrors the acquired portrait picture of the face of the patient to the AI face recognition module and the identity authentication module; the AI face recognition module is used for storing the characteristic information of the patient face image sample and verifying the face image in real time and generating a face recognition monitoring result; the identity authentication module is used for receiving the face recognition result and the unified identity authentication of the ward-round system module;
the data acquisition module is used for on-site acquisition of patient clinical physical examination and vital sign data, and the acquired data supports synchronous storage of the edge cloud and the medical cloud;
the data sharing module is used for receiving an operation instruction of a master physician, processing heterogeneous data and synchronizing data information of a medical cloud and an edge cloud;
and the intelligent tracking module is used for controlling the forward and backward movement and the rotation of the angle of the mobile ward-round device in different directions.
7. The 5G intelligent mobile ward-round system based on edge cloud coordination of claim 6, wherein: the 5G network transceiver is a 5G communication module, and the model thereof is a 4G/5G full-network communication remote transmission module IE PRO 200; the audio and video input and output device comprises a microphone and a loudspeaker, the human-computer interface is a display screen, the face recognition module is connected with an external camera, and the face recognition module, the data acquisition module, the data sharing module, the intelligent tracking module, the AI face recognition module and the identity authentication module are all arranged in the same industrial personal computer.
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