Detailed Description
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus. The term "plurality" may refer to two or more, and is not described in detail below.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.
Referring to fig. 1A, fig. 1A is a schematic structural diagram of a server according to an embodiment of the application. The server includes a processor and a memory, etc. Wherein the memory is coupled to the processor. The Processor is a control center of the server, and connects various parts of the entire server using various interfaces and lines, and performs various functions and processes of the server by running or executing software programs and/or modules stored in a memory and calling data stored in the memory, thereby performing overall monitoring of the server, and the Processor may be a central processing unit (Central Processing Unit/Processor, CPU), a graphics Processor (Graphics Processing Unit, GPU) or a Network Processor (NPU).
Further, the processor may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor.
The memory is used for storing software programs and/or modules, and the processor executes various functional applications of the server by running the software programs and/or modules stored in the memory. The memory may mainly include a memory program area and a memory data area, wherein the memory program area may store an operating system, software programs required for at least one function, and the like; the storage data area may store data created according to the use of the server, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
Servers include, but are not limited to, servers hosting IOS systems, android systems, microsoft systems, or other operating systems, and are not limited herein.
Referring to fig. 1B, fig. 1B is a schematic diagram of a system architecture according to an embodiment of the application. The system architecture comprises a wearable device 101, a hardware device 102, a network restraint system 103, a hospital system 104, a first terminal 105 and a second terminal 106,
Wherein:
the wearable device 101 may be a bracelet.
The hardware device 102 may be provided by a network vehicle provider for a particular object that uses the hardware device, which may include, but is not limited to: elderly people with history of disease (e.g. disabled people, hypertension, etc.), specific subjects may also include pregnant and lying-in women, etc. The hardware device may have a graphics code displayed thereon. The particular object may scan a graphical code on the hardware device 102 through the wearable device 101, triggering the hardware device to send a network taxi reservation request, which may include an identification of the wearable device scanning the hardware device 102. In some embodiments, the hardware device may be located at some particular taxi taking location in the community.
The network appointment system 103 may be a system providing network appointment, and the network appointment system 103 may include a server, which may receive a network appointment request of the terminal and schedule a corresponding network appointment for the target object according to the identification of the wearable device.
In some embodiments, a network interface exists between the network cart system 103 and the hospital system 104 through which the network cart system 103 can communicate with the hospital system 104.
The hospital system 104 is used for providing registration, payment and other operations.
The first terminal 105 may be a guardian associated with a particular object bound to the wearable device, and information associated with the particular object is sent to the first terminal 105. The first terminal may be, for example, a terminal of a child of the elderly person, and in the embodiment of the present application, the elderly person is driving alone, in other words, the first terminal and the wearable device are not in one network ca.
The second terminal 106 may be a terminal, i.e. a driver end, to which the network restraint system 103 binds for the network restraint scheduled by the wearable device.
Referring to fig. 2A, fig. 2A is a flowchart of a target object call network taxi-closing process according to an embodiment of the present application, where the method includes, but is not limited to, the following steps:
201, when the wearable device scans the hardware device, the hardware device obtains the identifier of the wearable device, and outputs voice prompt information, where the voice prompt information is used to prompt for inputting the target position.
In the embodiment of the application, the hardware equipment can comprise the graphic code, and when the wearable equipment scans the graphic code of the hardware equipment, the hardware equipment can acquire the identification of the wearable equipment for scanning the graphic code, so that the network reservation of the target object bound by the wearable equipment is carried out. In particular, the hardware device may be a taxi taking device set by a network taxi provider for a specific group including, but not limited to, elderly people suffering from basic diseases, pregnant women, disabled people, elderly people with impaired mobility, etc. In some embodiments, one or more hardware devices are generally disposed in a geographic area, and a special crowd needs to drive to scan the graphic code on the hardware device, so as to realize driving.
In the embodiment of the application, the wearable device is configured for a special crowd, and can be, for example, a bracelet. The wearable device is usually bound to a specific object, that is, the association relationship between the identifier of the wearable device and the bound target object is stored in a server in advance, and further, the server stores health information of the target object (the health information may indicate a disease condition or a pregnancy condition of the target object, for example, the health information indicates that the target object is a disabled person, or indicates that the target object is a hypertensive patient, etc.), identity information of the target object, for example, a name, an identification card number, a telephone number, etc.
When the target object uses the wearable device to scan the graphic code of the hardware device, the hardware device outputs voice prompt information, and the voice prompt information is used for prompting to input the target position. The target object may interact with the hardware device through voice.
202, the hardware device acquires the input voice information and extracts the target position from the voice information.
The hardware device recognizes the input voice information, and extracts a target position from the voice information, namely, a target position to which the target object needs to reach.
203, the hardware device sends a network taxi reservation request to the server, wherein the network taxi reservation request comprises an identifier of the wearable device and related position information, and the related position information comprises a current position of the hardware device and a target position to which the target object needs to go.
In one embodiment, after the hardware device obtains the identifier of the wearable device and the target position that the target object needs to reach, the network taxi reservation request can be sent to the server, where the network taxi reservation request includes the identifier of the wearable device and the related position information, so that the server can conveniently schedule a network taxi for the target object.
204, the server obtains health information of the target object bound with the wearable device, wherein the health information is used for indicating the illness or pregnancy condition of the target object.
And 205, the server schedules the target network about vehicle for the target object according to the health information and the related position information of the target object, wherein the vehicle type of the target network about vehicle corresponds to the illness condition or the pregnancy condition of the target object.
The server receives the network appointment request and obtains health information of the target object according to the identification of the wearable device in the network appointment request, wherein the health information can indicate the illness or pregnancy of the target object, for example, the health information indicates that the target object is a disabled person or indicates that the target object is a hypertensive patient, and the like, and can also obtain identity information of the target object, for example, a name, an identification card number, a telephone number, and the like, according to the identification of the wearable device.
The server can schedule the target network about vehicle for the target object according to the health information of the target object, the current position of the target object and the target position to be reached, and the vehicle type of the target network about vehicle corresponds to the illness condition or the pregnancy condition of the target object. For example, if the target object is a disabled person, the scheduled target net cart may provide wheelchair services, and for example, if the target object is a lying-in woman, the seat of the target net cart is of a lying-in type, and so on.
In some embodiments, as shown in fig. 2B, the server may acquire second health data monitored by the wearable device in a last period of time, and the server inputs the second health data, health information of the target object, related location information of the target object, and special requirement information (for example, whether a wheelchair is needed) into the first neural network to perform encoding processing, so as to obtain a first encoding vector, where the first encoding vector is used to represent feature information of the target object. The server inputs the driver information of the network about vehicle, the vehicle information of the network about vehicle, the real-time position and the state information of the vehicle into a second neural network to carry out coding processing, and a second coding vector is obtained and used for representing the characteristic information of the network about vehicle. The driver information may include, among other things, skill certificates of the driver, specific groups of people that may be serviced, such as service experience for the specific groups of people, assessment information, and so forth. The vehicle information of the network about vehicle can comprise special crowd which can be served by the network about vehicle and tools (such as wheelchairs) which can be provided, and the real-time position and state information of the vehicle can comprise the current position information of the network about vehicle and the current state of the network about vehicle (namely whether the network about vehicle is idle or not can be scheduled).
And further determining a target net appointment vehicle scheduled for the target object according to the similarity between the first coding vector and the second coding vector, wherein a driver of the target net appointment vehicle can provide services adapting to health information of the target object, and the vehicle type of the target net appointment vehicle can also provide seats adapting to health states of the target object for the target object.
Wherein the first neural network and the second neural network may be neural network models in deep learning, such as convolutional neural networks, recurrent neural networks, or Attention mechanisms (Attention). These models may learn their feature representations from historical data of the user or item, thereby improving the accuracy of the recommendation.
206, the server sends the information of the target object to the second terminal corresponding to the target network taxi, wherein the information of the target object comprises the current position of the target object and the health information of the target object.
In some embodiments, the server may send information of the target object to a second terminal (i.e., a driver end) corresponding to the target network vehicle, where the information of the target object may include a current location of the target object and health information of the target object, where the health information may indicate a disease condition or a pregnancy condition of the target object, for example, the health information indicates that the target object is a disabled person, or indicates that the target object is a hypertensive patient, so that the driver may know the condition of the target object in advance. Further, the information of the target object may also include a contact way of the target object, and the like.
207, the server sends notification information of successful network taxi reservation to the hardware device.
The target object can wait for the target network taxi-taking, and a target network taxi-taking driver can provide taxi-taking service for the target object.
In the embodiment of the application, the special crowd can realize the reservation of the network about car through the wearable equipment scanning hardware equipment, and the operation is simple.
Fig. 3A is a schematic flow chart of monitoring a physical condition of a target object on a network bus according to an embodiment of the present application; the method includes, but is not limited to, the steps of:
301, the wearable device monitors first health data of a target object.
302, the wearable device sends first health data to a server.
303, the video recording apparatus records a target video including a target object.
304, the video recording device sends the target video to the server.
The first health data may include at least one of: heart rate, blood pressure, blood oxygen, body temperature, etc. of the target subject. The wearable device uploads the collected first health data to the server in real time.
After the target object gets on the vehicle, the driver can confirm that the target object has been getting on the vehicle through the second terminal. When the server receives the confirmation information that the target object has been on board, a control instruction can be sent to the video recording device, and the control instruction is used for instructing the video recording device to record the target video comprising the target object. The video recording device is arranged in front of a seat in the target net car, can automatically adjust the focal length and the direction according to the sitting posture of the target object, records the target video comprising the target object, and optionally can also shoot pictures comprising the target object and the like. The video recording device transmits the target video to the server.
305, the server determines whether the current physical condition of the target object is in an alarm state according to the target video and the first health data.
In some embodiments, as shown in fig. 3B, the server may form the video frame, the first health data, and the health information of the target object in the target video into multi-mode data, and input the multi-mode data into the alarm model for processing, so as to obtain the alarm information output by the alarm model, where the alarm information may include an alarm identifier, where the alarm identifier is used to indicate whether the current physical condition of the target object is in an alarm state. The alert information further includes at least one of: alert level, diagnosis advice, recommended medical departments, recommended medical hospitals, etc.
The alarm model is used for determining the alarm level of the current physical condition of the target object according to the comparison result of the first health data and the preset health data range, the emotion state identification result of the target object in the video frame of the target video and the health information.
In some embodiments, the server may compare the first health data to a range of normal health data to determine if the first health data deviates more. Exemplary, heart rate anomalies: the system may set the alert threshold to 60-100 times/min, and determine that the first health data deviates from the normal range if the heart rate of the target subject is below 60 times/min or above 100 times/min; abnormal blood pressure: the system may set the warning threshold to 90-140mmHg (systolic pressure)/60-90 mmHg (diastolic pressure), and if the blood pressure of the subject is below 90/60mmHg or above 140/90mmHg, it may be determined that the blood pressure deviates from the normal range. Abnormal body temperature: the system may set the alarm threshold to 35-37 c and determine that the body temperature deviates from the normal range if the body temperature of the subject is below 35 c or above 37 c. For example, a standard deviation of the first health data from the normal health data range may be calculated, by which a degree of deviation of the first health data from the normal health data range may be represented.
The server may analyze at least one video frame of the target video containing the target object to determine a mental state of the target object. For example, the at least one video frame is input into the convolutional neural network model to identify the emotion state of the target object, and at least one emotion state identification result output by the convolutional neural network model is obtained, wherein the at least one emotion state identification result can comprise at least one of the following: a facial color recognition result for the target object, an expression recognition result for the target object, a recognition result for the lying posture of the target object, a lip color recognition result for the target object, and the like. Further, a physical condition of the target object is determined according to the at least one mental state recognition result. Each of the expression states corresponds to a preset expression state, and the preset expression state may be a dangerous expression state, for example, the preset expression state corresponding to the facial color of the target object is cyan, the preset expression state corresponding to the expression is pain, and the preset expression state corresponding to the lip color of the target object is white.
For example, if the at least one condition state recognition result has a preset proportion of condition state recognition results that are the same as the corresponding preset condition states, and the first health data deviate from the normal health data range, it is determined that the physical condition of the target object is dangerous.
For example, the alarm level may be determined according to the standard deviation and the ratio of the number of the same emotion state recognition results as the preset emotion state to the total number of the at least one emotion state recognition results.
306, in case that the current physical condition of the target object is determined to be in an alarm state, the server sends alarm information to the first terminal and the second terminal respectively.
According to different alarm levels, the message sending rules for sending alarm information to the first terminal and the second terminal are different. The message transmission rule includes, for example, a transmission mode of a message and a transmission frequency, where the transmission mode of the message includes a mode of transmitting voice or a mode of transmitting information. For example, if the alarm level of the target object is relatively high, the sending mode may be a voice phone mode, so as not to miss important reminders, and the sending frequency may be once every minute. For another example, if the alarm level of the target object is relatively low, the transmission manner may be a manner of transmitting information, for example, by an application or a short message transmission, and the transmission frequency may be relatively low, for example, once in ten minutes.
For another example, if the alert information is an emergency level, the system may send a reminder multiple times in a short time and identify the information as "emergency", such as an emergency situation in which the elderly experiences cardiac arrest or a hypertension crisis.
If the alarm information is of a general level, the system can send a reminder within a certain time and mark the information as general, for example, the old has the condition of too high heart rate or high blood pressure.
If the alarm information is the alarm information of the reminding level, the system only displays a reminder on the interface and does not send a notice, for example, the old has the condition of slightly higher or lower body temperature.
According to the intelligent trip method and system, in the process that the target object takes the target network to get about, the wearable device monitors the first health data of the target object, the video recording device in the target network to get about can record the video of the target object in real time, the server can determine whether the current physical condition of the target object is in an alarm state according to the first health data and the target video, and under the condition that the current physical condition is in the alarm state, alarm information is sent to a guardian and a driver respectively, so that real-time monitoring of the physical condition of the target object can be provided according to the monitored health data and the mental state, the gesture behavior and the like of the target object in the target video, and trip requirements of special people are met.
Referring to fig. 4, fig. 4 is a schematic flow chart of implementing medical treatment on a target object under abnormal conditions according to an embodiment of the present application, where the method includes, but is not limited to, the following steps:
401, in case that the guardian of the target object confirms the medical treatment, the first terminal sends confirmation information for confirming the medical treatment to the server.
After the server sends alarm information to the guardian and the driver side respectively, the guardian can confirm the health condition of the target object to the driver side through the first terminal, and when medical treatment is needed, the guardian can send confirmation information for confirming medical treatment to the server through the first terminal.
In some embodiments, the server sends the alarm information to the first terminal, where the alarm information may include a web page link, and the guardian corresponding to the first terminal may open a corresponding web page by clicking the web page link, where whether to seek medical advice may be confirmed.
And 402, when the server receives confirmation information for confirming medical treatment sent by the first terminal, acquiring information of at least one candidate hospital within a position preset range of the target network appointment according to the recommended medical treatment hospital in the alarm information.
403, the server sends information of at least one candidate hospital to the first terminal.
In the embodiment of the application, when the server receives the confirmation information for confirming the medical treatment sent by the first terminal, the server can select at least one candidate hospital according to the recommended medical treatment hospital in the alarm information and the current position of the target network appointment vehicle. The server sends information of at least one candidate hospital to the first terminal, wherein the information of the candidate hospital comprises but is not limited to: the names of candidate hospitals, the related introduction of the candidate hospitals, the departments contained in the candidate hospitals, the distance between the candidate hospitals and the target network about cars, the time required by the target network about cars to reach the candidate hospitals and the like.
In some embodiments, at least one candidate hospital may be displayed in a list, or each candidate hospital may be displayed at a corresponding location on a map.
404, the first terminal selects a target hospital from the at least one candidate hospital.
And 405, the server sends navigation information to a second terminal bound with the target network vehicle.
The guardian selects a target hospital from the received at least one candidate hospital through the first terminal, and when receiving a confirmation instruction for confirming the selection of the target hospital sent by the second terminal, the server sends navigation information to the second terminal bound with the target network appointment, wherein the navigation information is used for navigating to the target hospital.
In some embodiments, before sending the navigation information to the second terminal, the notification information may be sent to the second terminal to which the target network is bound, where the notification information is used to notify whether to navigate to the target hospital, and if the server receives the confirmation information that is fed back by the second terminal and confirms to navigate to the target hospital, the navigation information may be sent to the second terminal.
The first terminal registers the target object on a registration page of the target hospital based on the pre-filled registration information of the target object 406.
And 407, the server sends the registration order of the target object to a second terminal corresponding to the target network taxi appointment.
In some embodiments, the network about car system and the target hospital system can be accessed through a network interface, and a server in the network about car system obtains a registration page of the target hospital through the network interface, wherein the registration page comprises registration information of the target hospital, and registration in the target hospital can be realized through the registration page.
And the server sends the registration page to the first terminal, and a guardian corresponding to the first terminal executes registration operation for the target object through the registration page. Further, interaction between the first terminal and the target hospital system is realized as registering operation of the target object.
When the first terminal receives the indication information which is sent by the target hospital system and is used for indicating successful registration, the first terminal sends the indication information to a server of the network appointment vehicle system, so that the server of the network appointment vehicle system can conveniently acquire a registration order of a target object from the target hospital system, and the registration order is sent to a second terminal which is bound with the target network appointment vehicle, wherein the registration order comprises at least one of a reservation number, a treatment time, a disease description and a treatment department.
The second terminal is a driver end, and when receiving the registration order of the target object, the driver can go to the target hospital and help the target object to visit.
Further optionally, after the driver has opened the check and/or the drug order for the target object, the second terminal may send an operation to the server for requesting the first terminal to perform payment for a payment order, the payment order including at least one of: and checking the item of the target object, the payment amount corresponding to the detection item, the medication list of the target object and the payment amount corresponding to the medication list.
And under the condition that the server receives the payment request sent by the second terminal, inquiring a payment order corresponding to the target object from the target hospital system, sending the payment order to the first terminal, and further, carrying out interaction between the first terminal and the target hospital system to realize payment of the order.
Compared with the way that the hospital system directly sends the payment order to the first terminal, the method can obviously enable the driver end corresponding to the second terminal in the whole network vehicle-reduction system to sense the whole payment flow, and if the payment order is not inquired from the target hospital system, the response message which is not generated by the payment order can be fed back to the second terminal, so that the driver corresponding to the second terminal can be processed on site in time.
When the payment is successful, the target hospital system feeds back indication information of the payment success to the first terminal, and the first terminal further sends the indication information to a server of the network taxi-taking system. The server of the network vehicle restraint system sends a first notification message to the second terminal of the target network vehicle restraint binding, that is, notifies that the payment order was successfully paid, and in one possible implementation, the notification message may further include a payment success credential. The second terminal can assist the target object to check, take medicine and the like when receiving the first notification message.
Further alternatively, before all the visits are ended, the second terminal may send a second notification message to the server of the network appointment system, where the second notification message is used to notify the target object of the end of the visits. The server of the network taxi taking system may send a third notification message to the first terminal, where the third notification message is used to notify the second object corresponding to the first terminal that the diagnosis of the target object is finished.
In some embodiments, the third notification message may include first information for confirming whether the target network is required to continue using the vehicle. And when the server of the network vehicle-restraining system receives the confirmation information which is sent by the first terminal and is used for confirming that the target network vehicle-restraining system is continuously used, sending a navigation map to the first terminal, and determining the journey end point from the navigation map by the first terminal. And when the server receives the journey terminal information, sending navigation information to the second terminal, wherein the navigation information is used for navigating to the journey terminal.
In the embodiment of the application, the network taxi taking system is combined with the hospital system, and interaction among the first terminal, the second terminal and the network taxi taking server is realized, so that a series of processes of taxi taking, registering and target object hospitalizing are realized, the processing efficiency of the process on the network is improved, and the hospitalizing requirement of a special object in the network taxi taking process is met.
The embodiment of the application also provides an intelligent travel system, which comprises a wearable device, a server, a first terminal, a second terminal and video recording equipment, wherein the wearable device is bound with a target object, the first terminal corresponds to a guardian of the target object, the second terminal corresponds to a driver of a target network taxi taken by the target object, and the video recording equipment is equipment for recording videos of passengers in the target network taxi;
The wearable device is used for monitoring first health data of the target object and sending the first health data to the server;
the video recording device is used for recording a target video comprising the target object and sending the target video to the server;
the server is used for determining whether the current physical condition of the target object is in an alarm state according to the target video and the first health data;
and under the condition that the current physical condition of the target object is in an alarm state, the server is used for respectively sending alarm information to the first terminal and the second terminal.
In one possible implementation manner, the intelligent travel system further comprises a hardware device;
the hardware device is used for acquiring the identification of the wearable device and outputting voice prompt information when the wearable device scans the hardware device, wherein the voice prompt information is used for prompting the input target position;
the hardware equipment is also used for acquiring input voice information and extracting a target position from the voice information;
the hardware device is further configured to send a network vehicle reservation request to the server, where the network vehicle reservation request includes an identifier of the wearable device and related location information, and the related location information includes a current location of the hardware device and the target location to which the target object needs to go;
The server is further configured to obtain health information of the target object bound to the wearable device, where the health information is used to indicate a disease condition or a pregnancy condition of the target object;
the server is further configured to schedule a target network appointment vehicle for the target object according to the health information and the related position information of the target object, where a vehicle type of the target network appointment vehicle corresponds to a disease condition or a pregnancy condition of the target object;
the server is further configured to send information of the target object to a second terminal corresponding to the target network vehicle, where the information of the target object includes the current position of the target object and health information of the target object;
the server is further configured to send notification information that the network taxi reservation is successful to the wearable device.
In a possible implementation manner, the server is further configured to obtain second health data monitored by the wearable device, where the second health data is health data uploaded in a last preset period of time;
the server is also used for acquiring the driver information of the network taxi to be scheduled, wherein the driver information comprises the skill characteristics of the network taxi drivers and special crowd service parameters;
The server is further used for acquiring vehicle information of the network about vehicles to be scheduled, wherein the vehicle information comprises special crowd applicable to the network about vehicles and position information of the network about vehicles;
the server is further configured to input the second health data, the health information of the target object, and the related position information into a first neural network for encoding processing, so as to obtain a first encoding vector, where the first encoding vector is used to represent characteristic information of the target object;
the server is further used for inputting the driver information of the network about vehicles and the vehicle information of the network about vehicles into a second neural network for coding processing to obtain a second coding vector, and the second coding vector is used for representing the characteristic information of the network about vehicles;
and the server is further used for determining a target network taxi-taking scheduled for the target object according to the first coding vector and the second coding vector.
In a possible implementation manner, the server is further configured to obtain health information of the target object, where the health information is used to indicate a disease condition or a pregnancy condition of the target object;
the server is further configured to form multi-mode data from video frames in the target video, the first health data and health information of the target object, input the multi-mode data into an alarm model for processing, and obtain alarm information output by the alarm model, where the alarm information includes an alarm identifier, and the alarm identifier is used to indicate whether the current physical condition of the target object is in an alarm state;
The alarm model is used for determining the alarm level of the current physical condition of the target object according to the comparison result of the first health data and the preset health data, the emotion state identification result of the target object in the video frame of the target video and the health information.
In a possible implementation manner, when the alarm identifier indicates that the current physical condition of the target object is in an alarm state, the alarm information further includes at least one of the following: alarm level, diagnosis advice, recommended medical departments, and recommended medical hospitals;
the first terminal is further configured to send confirmation information for confirming medical treatment to the server when the guardian of the target object confirms medical treatment;
when the server receives the confirmation information for confirming the medical visit sent by the first terminal, the server is further used for acquiring information of at least one candidate hospital within a position preset range of the target network appointment according to the recommended medical visit hospital in the alarm information, wherein the at least one candidate hospital is the recommended medical visit hospital in the alarm information;
the server is further configured to send information of the at least one candidate hospital to the first terminal;
The first terminal is further configured to select a target hospital from the at least one candidate hospital;
the server is further configured to send navigation information to a second terminal corresponding to the target network vehicle, where the navigation information is used for the second terminal to navigate to the target hospital.
In a possible implementation manner, the first terminal is further configured to register the target object on a registration page of the target hospital based on pre-filling registration information of the target object;
the server is further configured to send a registration order of the target object to a second terminal corresponding to the target network appointment, where the registration order includes at least one of an appointment number, a treatment time, a patient description, and a treatment department.
In a possible implementation manner, when the server receives the payment request sent by the second terminal, the server is further configured to query, from the target hospital system, a payment order corresponding to the target object, where the payment order includes at least one of: the inspection item of the target object, the payment amount corresponding to the detection item, the medication list of the target object and the payment amount corresponding to the medication list are used for requesting the first terminal to execute payment operation on the payment order;
The server is further configured to send the payment order to the second terminal;
the second terminal is further used for executing payment operation on the payment order;
when the server receives the indication information sent by the second terminal and used for indicating that the payment of the payment order is successful, the server is further used for sending a notification message to the second terminal, wherein the notification message is used for notifying that the payment of the payment order is successful.
The embodiment of the present application also provides a computer storage medium storing a computer program for electronic data exchange, where the computer program causes a computer to execute some or all of the steps of any one of the methods described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a computer program operable to cause a computer to perform part or all of the steps of any one of the methods described in the method embodiments above. A computer program product is understood to be a software product whose solution is realized mainly by means of a computer program.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
The foregoing has outlined rather broadly the more detailed description of embodiments of the application, wherein the principles and embodiments of the application are explained in detail using specific examples, the above examples being provided solely to facilitate the understanding of the method and core concepts of the application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.