A guidance system and method

Abstract

The application relates to a guiding system and method, and the system at least comprises a consultation terminal. In the case that a user provides activation information to the consultation terminal, the consultation terminal provides at least one travel route matched with the destination expected by the user to the user based on the activation information associated with the user. In the formation of the travel route, the consultation terminal calculates an initial travel route based on the in-hospital resource information obtained within an initial time and the real-time flow rate of each road node. The guiding system of the application starts from the basic needs of the user, combines the obstacles encountered in the actual travel route, first carries out medical guiding through the activation information of the user, then selects according to the confidence in each travel route, adopts a guiding mode combining single guiding and multiple interactions to guide the user to make an inquiry, provides effective medical resource allocation for the user, reduces the guiding pressure of the hospital, improves the operation efficiency of the hospital, and promotes the effective utilization and balanced development of regional medical resources.

Description

Technical Field

[0001] This invention relates to the field of medical service technology, and in particular to a triage system and method. Background Technology

[0002] With the development of medical services and information technology, the traditional medical model is transforming into an "Internet of Things + services" model, with online appointments, remote surgery, and online consultations becoming increasingly common. The primary medium for medical guidance relies on patient communication, but given the high volume of patients in hospitals, finding departments and their locations after registration presents numerous challenges. While most hospitals have route signs, patients struggle to navigate complex areas with unclear or missing signs. This is especially true for those with poor sense of direction, who find it difficult to quickly locate departments or doctors. This difficulty in finding the correct route, coupled with high patient volume, creates a synergistic effect, leading to patient congestion at key points, impacting hospital efficiency, and wasting medical resources. Therefore, how to provide medical guidance services based on simple patient communication is a pressing issue that current technology urgently needs to address.

[0003] Furthermore, existing hospital navigation systems differ significantly from conventional navigation systems. Different hospitals may have different departmental structures. Hospital navigation systems need to fully consider users' needs, including displaying and navigating different floors and buildings within the hospital. Conventional navigation systems only need to provide users with horizontal route navigation, while the different departmental structures of hospitals necessitate cross-floor and cross-building route navigation. The destination of this route should be a recommended department and / or doctor's location based on the user's symptoms and needs. Additionally, since the testing content, volume, and time vary among different testing departments within a hospital, how to develop a reasonable testing sequence and route planning based on the hospital's actual situation to improve user efficiency and experience, reduce waiting time and infection risk, is a problem that existing technologies urgently need to solve.

[0004] Chinese patent CN 112802590A discloses an intelligent silent patient guidance system and method. The system includes a patient guidance robot and a mobile terminal that are communicatively connected to a medical terminal. The mobile terminal receives medical orders and waiting information, generates patient guidance information, and also sends feedback on the waiting location to the medical terminal. The patient guidance robot includes an automatic walking mechanism, a query mechanism, a positioning mechanism, and a prompting mechanism. The query mechanism queries the medical terminal in real time for the patient's medical orders and waiting location. The positioning mechanism guides the patient guidance robot to its destination. The prompting mechanism sends a reminder to the patient based on the query results. This patient guidance system provides precise, personalized, and differentiated patient guidance services, eliminating the need for hospitals to install large-scale broadcasting and electronic display systems in waiting areas, creating a silent waiting area and improving the patient's overall experience. However, the patent has a drawback: it fails to consider the situation of excessively high hospital traffic, which could lead to congestion within the hospital, reducing operational efficiency, diminishing the utilization and development of regional medical resources, and causing the provision of precise, personalized, and differentiated patient guidance services to require massive amounts of data computation. Hospitals cannot operate at high capacity under high traffic conditions to handle the computational challenges posed by this large data volume, resulting in excessively long processing times for the planned patient guidance services.

[0005] Chinese patent CN111613310A discloses an intelligent patient guidance system for hospitals, comprising: at least one camera installed inside the hospital to collect image information of corresponding locations within the hospital; a positioning device to generate patient location signals; and a people recognition and positioning server communicatively connected to the positioning device and the camera to generate patient guidance information based on the image information and the location signals. The patient guidance information includes at least the number of patients, department locations, the patient's route from their current location to the corresponding department, and the consultation time. This patent can improve the service quality and efficiency of hospital patient guidance, reducing the difficulty and time patients face when seeking medical care. However, the patent has a drawback: determining patient flow and routes through simple people recognition results in routes that are not optimal and are susceptible to congestion. When the selected route becomes congested, it increases patient walking time, affecting patient guidance. This is especially problematic for patients with limited patient guidance information, where route planning lacks accuracy.

[0006] Furthermore, on the one hand, there are differences in understanding among those skilled in the art; on the other hand, the applicant studied a large number of documents and patents when making this invention, but due to space limitations, not all details and contents were listed in detail. However, this does not mean that the present invention does not possess the features of these prior art. On the contrary, the present invention already possesses all the features of the prior art, and the applicant reserves the right to add relevant prior art to the background art. Summary of the Invention

[0007] To address the shortcomings of existing technologies, this invention provides a patient guidance system, comprising at least a consultation terminal. Preferably, when a user provides activation information to the consultation terminal, the consultation terminal provides the user with at least one travel route matching the user's desired destination based on the activation information associated with the user. Preferably, when forming a travel route, the consultation terminal calculates an initial travel route based on in-hospital resource information acquired within an initial time period and the real-time flow rate of each road node, and / or the consultation terminal acquires in-hospital resource information and calculates the real-time flow rate of each road node within an update time period to update the initial travel route and form an updated travel route. This patient guidance system of the present invention starts from the user's basic needs, considers obstacles encountered in the actual travel route, first provides medical guidance based on the user's activation information, then selects routes based on confidence levels, and uses a combination of single-time guidance and multiple interactions to guide users to seek medical advice, providing effective allocation of medical resources, helping users find the right department and doctor, resolving the problem of incorrect appointments, reducing the pressure on hospital patient guidance, improving hospital operational efficiency, and promoting the effective utilization and balanced development of regional medical resources.

[0008] According to a preferred embodiment, the consultation terminal is configured to: select a department and / or doctor based on a preset correspondence rule between the activation information and attribute information, and jointly calculate an initial travel route based on in-hospital resource information acquired within an initial time period and the real-time flow rate of each road node; or establish a triage model based on the activation information and in-hospital resource information using machine learning methods or deep neural network classification models, and provide corresponding triage by recognizing the symptoms and intentions in the user's activation information in the form of a knowledge graph. This invention obtains the user's final desired destination through the user's activation information using the above scheme, and thereby generates at least one travel route. This invention considers the special nature of medical triage, namely, the need for strong medical knowledge in triage, and establishes a triage model to support medical theoretical knowledge, ensuring the reliability of triage, and thereby generating a travel route.

[0009] According to a preferred embodiment, the consultation terminal, based on consultation data in a hospital database, establishes a triage model using machine learning methods or deep neural network classification models through activation information and hospital resource information. The terminal then selects the destination and plans the travel route based on this triage model. Preferably, the consultation terminal identifies the medical indications in the user's activation information using a recognition model, and selects corresponding attribute information based on these medical indications using the triage model. This invention significantly reduces the likelihood of users relying on two-dimensional map navigation to find their own way, ignoring the preferred suggestions or routes provided by the navigation information, which could lead to congestion or accidents in certain areas.

[0010] According to a preferred embodiment, when several consultation terminals are configured within the hospital, these terminals located along the travel route relay the visual guidance information of the travel route to the user. Preferably, when updating the travel route, the consultation terminal currently closest to the user displays the updated visual guidance information of the travel route. The advantage of the patient guidance system configured in the above manner is that it divides the patient guidance process into multiple interactions between consultation terminals, thereby significantly reducing the massive amount of data computation involved in travel route determination, reducing the real-time computation of several travel routes, and combining the computation of several consultation terminals as nodes to plan appropriate patient guidance routes. This is beneficial for the hospital to allocate users under high load and shorten the time for providing travel routes, achieving rapid and accurate determination of travel routes.

[0011] According to a preferred embodiment, the consultation terminal closest to the user is determined as follows: based on the user's current travel route, the last consultation terminal the user passes along the current route is identified; based on the next consultation terminal the user will pass along the current route, circular areas are drawn with their centers on both. The consultation terminal within the intersection area of ​​at least two of these circular areas is selected as the consultation terminal closest to the user. Preferably, the radius of the circular area is the straight-line distance between at least two consultation terminals. The triage system of this invention improves the stability, response speed, and compatibility of user location and route planning, ensuring the accuracy, smoothness, and intelligence of route selection. The provided triage model and the triage method combining single-time triage and multiple interactions ensure the reliability and professionalism of the triage process. Furthermore, through the updating and maintenance of several consultation terminals, it adapts to real-time changes in hospitals and user needs.

[0012] According to a preferred embodiment, the information terminal selects a route based at least on the time required for the user to reach their destination. Preferably, the information terminal calculates the walking time based on the user's average walking speed and the time taken to pass through road nodes, taking into account the length and flow rate of the route, and selects the route with the shortest walking time. This eliminates the need for the information terminal to perform large-scale real-time data processing for route updates; the phased update method accelerates data processing, ensuring that route planning remains within an optimal range, improving the accuracy of triage and enhancing the user experience.

[0013] According to a preferred embodiment, during the update time, the consultation terminal recalculates the user's walking time along the route and selects the shortest route based on the walking time to update the route. Since traffic congestion at road nodes along the selected route can increase the user's walking time and affect their experience, this invention introduces a guidance method combining single-time guidance and multiple interactions to guide users in seeking medical advice. This improves the success rate and intelligence of guidance while correcting the walking route.

[0014] According to a preferred embodiment, the consultation terminal can provide user Q&A to supplement the user's activation information when the user arrives at the next consultation terminal or when there is congestion at at least one road node. The consultation terminal selects the content of the user Q&A based on the user's activation information. Preferably, the consultation terminal selects at least one question with the highest relevance as the user Q&A by traversing the medical references in the hospital database. This user Q&A not only supplements the user's activation information but can also be used to provide educational knowledge recommendations, helping users better understand professional medical knowledge related to disease causes, nursing, prevention, and medication.

[0015] This invention relates to a patient guidance method, the method comprising at least: when a user provides activation information to a consultation terminal, the consultation terminal provides the user with at least one travel route matching the user's desired destination based on the activation information associated with the user. Preferably, when forming a travel route, the consultation terminal calculates an initial travel route based on in-hospital resource information acquired within an initial time period and the real-time flow rate of each road node, and / or the consultation terminal acquires in-hospital resource information and the real-time flow rate of each road node within an update time period to update the initial travel route to form an updated travel route.

[0016] According to a preferred embodiment, the method further includes: selecting a department and / or doctor based on a preset correspondence rule between the activation information and the attribute information, and jointly calculating an initial travel route based on the hospital resource information obtained within the initial time and the real-time flow rate of each road node; or establishing a triage model based on the activation information and the hospital resource information using machine learning methods or deep neural network classification models, and performing corresponding triage by recognizing the symptoms and intentions in the user's activation information in the form of a knowledge graph. Attached Figure Description

[0017] Figure 1 This is a simplified topology diagram of a patient guidance system according to a preferred embodiment of the present invention;

[0018] Figure 2 This is a simplified schematic diagram of the module connection relationship of a patient guidance system according to a preferred embodiment of the present invention;

[0019] Figure 3 This is a schematic diagram illustrating the interactive connection relationship between consultation terminals with different permission levels according to a preferred embodiment of the present invention.

[0020] List of reference numerals

[0021] 1: Consultation terminal; 2: Hospital database; 3: Users. Detailed Implementation

[0022] The following is a detailed explanation with reference to the accompanying drawings.

[0023] Example 1

[0024] This invention relates to a patient guidance system, including a consultation terminal 1. The consultation terminal 1 is, for example, a smart device installed throughout a hospital capable of communication or guidance. The consultation terminal 1 collects and stores data such as the hospital's internal layout and departmental arrangement, and can guide users 3 through consultations via voice, text, and images. When a user 3 provides activation information to the consultation terminal 1, the consultation terminal 1 provides the user 3 with at least one route matching their desired destination based on the activation information associated with the user 3. Preferably, when forming a route, the consultation terminal 1 calculates an initial route based on hospital resource information acquired within an initial time period and the real-time flow rate of each road node, and / or updates the initial route by acquiring hospital resource information and the real-time flow rate of each road node within an update time period to form an updated route. The triage system of this invention starts from the user's basic needs and combines the obstacles encountered in the actual travel route. It first conducts medical triage based on the user's activation information, and then selects based on the confidence level of each travel route. It adopts a triage method that combines single-time triage and multiple interactions to guide the user 3 to seek medical advice, providing them with effective allocation of medical resources, helping users find the right department and doctor, solving the problem of registering for the wrong appointment, reducing the triage pressure on the hospital, improving the hospital's operational efficiency, and promoting the effective utilization and balanced development of regional medical resources.

[0025] According to a preferred embodiment, when multiple information terminals 1 are configured within the premises, the multiple information terminals 1 located on the initial travel route relay the visual guidance information of the travel route to the user 3. Preferably, when an updated travel route is formed, the information terminal 1 currently closest to the user 3 displays the visual guidance information of the updated travel route to the user 3. Preferably, the information terminal 1 closest to the user 3 is not limited to the information terminal 1 located on the original travel route and / or the information terminal 1 located on the updated travel route. The aforementioned visual guidance information may be, for example, a guidance sign projected in front of the user 3; or sound, light, mechanical, or other information generated by the user's smart wearable device that is communicatively connected to the user's currently closest information terminal 1. The advantages of the triage system set up in the above manner are: it divides the triage process into multiple interactions of consultation terminal 1, thereby significantly reducing the huge amount of data calculation involved in determining the route, reducing the amount of calculation for several routes in real time, and combining the calculation of several consultation terminals 1 as nodes to plan appropriate triage routes. This is beneficial for hospitals to allocate users when operating at high load, and shortens the time for providing routes, thus achieving rapid and accurate determination of routes.

[0026] According to a preferred embodiment, the consultation terminal 1 closest to user 3 is determined as follows: based on the current travel route followed by user 3, the last consultation terminal 1 belonging to the current travel route is determined; based on the current travel route, the next consultation terminal 1 to be passed on the route is retrieved; circular ranges are drawn with the centers of the two ranges, the radius preferably being the straight-line distance between the two ranges; the consultation terminal 1 within the intersection area of ​​the two circular ranges is selected as the consultation terminal 1 closest to user 3. According to a specific embodiment of the present invention, the consultation terminal 1 may consist of, for example, a processor, a driver, input / output ports, and a network interface. These components can be connected via a communication bus. The processor may be a general-purpose central processing unit (CPU), an application-specific integrated circuit (ASIC), a microprocessor, or one or more integrated circuits, etc., executing relevant instructions or programs to implement the technical solution of the present invention.

[0027] According to a preferred embodiment, the activation information includes at least the user 3's chief complaint. The user 3's chief complaint refers to various medical indications such as symptoms, medical orders, and medications. This activation information is provided by the user 3 or by the hospital database 2. Preferably, the activation information also includes the user 3's personal information such as age and gender. Preferably, when the user 3 provides activation information to the consultation terminal 1, the consultation terminal 1 provides the user 3 with at least one travel route matching the user 3's desired destination based on the activation information associated with the user 3. Preferably, the consultation terminal 1 selects the department and / or doctor based on a preset correspondence rule between activation information and attribute information, and jointly calculates the initial travel route based on the hospital resource information acquired in the initial time and the real-time flow rate of each road node. The aforementioned attribute information includes at least department information and doctor information, i.e., the disease treatment scope of the department and doctor. Preferably, the consultation terminal 1 can also use machine learning methods or deep neural network classification models as a triage model based on the activation information and hospital resource information, and use a knowledge graph to identify the symptoms and intentions in the user 3's activation information to provide triage to the corresponding destination. Specifically, the consultation terminal 1 selects a department and / or doctor based on a preset correspondence rule between activation information and attribute information. This correspondence rule can refer to a pre-set method of inferring attribute information based on a specific disease location or symptom. The consultation terminal 1 obtains the corresponding department and / or doctor and recommends them to the patient for triage. For example, the consultation terminal 1 recommends a corresponding department and / or doctor that matches the user 3's activation information by obtaining the disease treatment scope and treatment evaluation of the department and / or doctor. Preferably, the consultation terminal 1 calculates at least one travel route matching the user 3's desired destination based on the obtained corresponding department and / or doctor, combined with hospital resource information and the real-time flow rate of each road node. The aforementioned hospital resource information includes the hospital's building structure, department distribution, and department data. The consultation terminal 1 plans the user 3's travel route based on the aforementioned department, doctor, hospital resource information, and / or the real-time flow rate of each road node. It should be noted that User 3's current location can be provided by the GPS in the portable smart terminal or smart device that User 3 received upon admission to the hospital, and this location will be used as the starting point of the travel route.

[0028] Furthermore, consultation terminal 1, based on the consultation data in hospital database 2, establishes a triage model using machine learning methods or deep neural network classification models by combining activation information and in-hospital resource information. Based on this triage model, it selects the destination and plans the travel route. Preferably, consultation terminal 1 identifies the medical references in user 3's activation information using a recognition model. The recognition model can be divided into three layers. Preferably, the first layer is a language model, which obtains word vectors from the activation information through a pre-trained language model, thereby effectively extracting features from the activation information. This language model is, for example, the BERT language model. Preferably, the second layer is a memory neural network, which concatenates the forward and backward hidden state sequences obtained from the first layer according to time and maps them to the category of the medical reference, thereby obtaining the mapped sequence. Preferably, the third layer is a conditional random field layer. The conditional random field layer considers the probability distribution of the medical references in user 3's current activation information and decodes the medical reference with the highest probability using the Viterbi algorithm. Preferably, consultation terminal 1 selects corresponding attribute information based on the obtained medical references of user 3 through the triage model. The triage model can also be divided into three layers: an input layer, a processing layer, and an output layer. Preferably, the output layer preprocesses medical references using a BERT language model and generates relevant subgraphs of the medical references. Preferably, the processing layer extracts textual semantic features and subgraph semantic features from user activation information using a text encoder and a graph encoder. The text encoder uses the BERT language model, and the graph encoder uses the MHGRN graph encoding network. Preferably, the output layer concatenates the textual semantic features and subgraph semantic features, and maps the dimensions to departments and / or doctors through multilayer perceptron, thereby enabling the selection of the corresponding department and / or doctor.

[0029] This invention obtains the user's desired destination from the user's activation information using the aforementioned scheme, and generates at least one travel route accordingly. Considering the unique nature of medical triage, which requires strong medical knowledge, this invention establishes a triage model supported by medical theoretical knowledge to ensure reliability and generate travel routes. However, since its foundation relies on the user's activation information, insufficient information may lead to a low triage success rate. Alternatively, congestion at road nodes along the selected route can increase the user's travel time, affecting the triage process. Therefore, this invention introduces a triage method combining single-time guidance and multiple interactions to guide users through consultations, improving the success rate and intelligence of triage while correcting travel routes.

[0030] According to a preferred embodiment, the consultation terminal 1 calculates an initial travel route based on the hospital's resource information acquired within an initial time period and the real-time flow rate of each road node. Preferably, the consultation terminal 1 acquires the hospital's resource information and the real-time flow rate of each road node within an update time period to update the initial travel route and form an updated travel route. The aforementioned flow rate can be provided by the GPS in the portable smart terminal or smart device carried by the user upon admission. For example, when a large number of users carrying the aforementioned portable smart terminal or smart device pass through the road node, the real-time flow rate of the road node is calculated based on the number of people passing through the node per unit time. The aforementioned unit time can be 10 seconds, per minute, or other time periods. Preferably, the consultation terminal 1 selects at least the travel route passing through road nodes with high flow rates and provides it to the user. Preferably, the consultation terminal 1 selects the travel route based at least on the time required for the user 3 to reach their destination. Preferably, the consultation terminal 1 calculates the walking time under the length of the travel route and the flow rate based on the user 3's average walking speed and the time taken to pass through the road node, and selects the travel route with the shortest walking time and provides it to the user 3. Preferably, the consultation terminal 1 also provides the user 3 with a travel route based on real-time updated flow rate. Preferably, during the update time, the consultation terminal 1 recalculates the user 3's walking time on the travel route and selects the shortest travel route based on the walking time to update the travel route. Preferably, the consultation terminal 1 can also provide user Q&A to improve the user 3's activation information when the user 3 arrives at the next consultation terminal 1 or when there is a traffic jam at a certain road node. The user Q&A may be several questions related to symptoms of disease, medication, or food, to increase the accuracy of triage and provide information to doctors to improve the efficiency of disease treatment. Preferably, the consultation terminal 1 can also send the user Q&A to the user 3's portable smart terminal or smart device for multiple interactive triage. Preferably, the consultation terminal 1 selects the content of the user Q&A based on the user 3's activation information. Preferably, the consultation terminal 1 selects at least one question with the highest relevance as the user Q&A for the user 3 by traversing the medical references in the hospital database 2. Preferably, the user 3 answers by selecting options through the display of the consultation terminal 1 or other input devices, or by answering in text. When the number of interactions exceeds the maximum number of interaction rounds, the user's activation information is rewritten using the acquired user questions and answers, and then input again into the triage model to obtain the final department and / or doctor recommendations and route planning. This user question and answer not only supplements the user's activation information but also provides educational knowledge recommendations to help users better understand disease-related causes, nursing care, prevention, medication, and other professional medical knowledge.

[0031] When different users in a hospital are assigned to the same walking route at the same time, the determination of these routes will lead to changes in the flow rate. This change is difficult to predict due to the different walking speeds of the users. That is, a walking route acquired in the previous moment may become a suboptimal route in the next moment as more users choose that destination. This is especially true for users who temporarily change their destination, as their walking route is selective. Furthermore, user walking routes also change over time. A route with a high flow rate one minute may have a low flow rate the next minute. In other words, the selected walking route has a time-sensitive nature.

[0032] According to a preferred embodiment, the consultation terminal 1 calculates the walking time of user 3 on the route during the update time, and selects the shortest route based on the walking time to update the route. Preferably, several consultation terminals 1 are provided in the hospital. Preferably, when user 3 arrives at a consultation terminal 1, the consultation terminal 1 updates user 3's route to avoid the selectivity and timeliness of the route. Thus, updating the route does not require consultation terminal 1 to perform large-scale real-time data processing. The phased update method can speed up data processing, ensuring that the route planning is always within an optimal range, improving the accuracy of the guidance and enhancing the user experience. The guidance system of the present invention improves the stability, response speed, and compatibility of user location and route planning, ensures the accuracy, smoothness, and intelligence of route selection, and provides a guidance model and a guidance method that combines single guidance and multiple interactions to ensure the reliability and professionalism of the guidance. It also adapts to the real-time changes of the hospital and the needs of users by updating and maintaining several consultation terminals 1.

[0033] In existing technologies, hospital triage systems differ significantly from conventional navigation systems. Different hospitals may have different departmental structures. Hospital triage systems need to fully consider the needs of user 3, including the display and navigation of each floor and building within the hospital. Conventional navigation systems only need to provide horizontal route navigation to meet user needs, while the different departmental structures of hospitals necessitate cross-floor and cross-building route navigation. Furthermore, the destination of this route should be a recommended department and / or doctor's location based on the user's symptoms and needs. In addition, since the testing content, testing volume, and testing time vary in each testing department within a hospital, how to develop a reasonable testing sequence and route planning based on the actual situation of the hospital to improve user efficiency and experience, reduce waiting time and infection risk, is a problem that existing technologies urgently need to solve. Therefore, this embodiment provides the following steps: Consultation terminal 1 obtains the user's desired destination based on the user 3's activation information; Consultation terminal 1 generates at least one travel route based on the obtained user's desired destination. The generated route is planned by consultation terminal 1 based on local optima, which can prevent users from getting lost or experiencing excessively long guidance times during the process. The desired destination refers to the guidance location the user needs to go to, including consultation departments, testing departments, or pharmacy counters. After a face-to-face consultation with a doctor, the doctor usually directs the user to a testing department for further testing or to the payment counter. For users, it is difficult to quickly plan the route to the desired destination and the order in which to go to each desired destination. Especially when users are unaware of the testing hours, patient flow, and report issuance status of each testing department, they inevitably encounter difficulties in hospital guidance. To address this, the system of this invention, taking into full account the different medical environments of testing departments, is based on medical zoning and medical needs. While ensuring short user travel routes, it improves the efficiency of medical visits within the medical guidance system, bringing improvements and optimizations to the user's medical experience. The travel route of this invention has the shortest path, which greatly improves the efficiency of users' medical treatment. While allowing sufficient time for users' treatment, the better user turnover rate it brings can also improve the medical experience of users in the hospital.

[0034] Preferably, the consultation terminal 1 generates a travel route in response to a number of determined desired destinations and their triage data. Preferably, the triage data includes at least data related to the detection efficiency of the desired destination, such as the detection time required for the desired destination, the report generation time, the location of the desired destination, and the queuing rate. Preferably, the consultation terminal 1 generates the travel route based on the triage data. Preferably, the consultation terminal 1 generates the travel route based on a mathematical model of the triage data. The travel route includes the user's route and the order of travel to each desired destination. Specifically, the consultation terminal 1 calculates the three-dimensional path planning of the desired destinations based on a heuristic algorithm to generate the travel route. The consultation terminal 1 establishes a mathematical model based on triage data such as the detection time required for different desired destinations, the report generation time, the location of the desired destination, and the queuing rate, and calculates the optimal travel route to minimize the user's overall detection time or overall detection cost. The consultation terminal 1 abstractly models the three-dimensional space according to different desired destinations and divides it into several discrete points representing the desired destinations. Preferably, the consultation terminal 1 initializes the heuristic function value of each node based on the triage data. The heuristic function value includes, for example, the initial detection time, report generation time, and queuing rate. The steps for generating a travel route using consultation terminal 1 further include: selecting a starting node and adding it to the path set; determining the set of feasible points in the next segment based on the segment where the current node is located, i.e., nodes that meet the distance and detection requirements; calculating the probability of each feasible point being selected based on the heuristic function value at each feasible point, and using a roulette wheel to select the next node and adding it to the path set; locally updating the current node to increase the probability of selecting points not yet visited; repeating the above steps until the target node is reached or the maximum path length is exceeded. This invention treats different desired destinations as different nodes, and uses the detection time, report generation time, desired destination location, and queuing rate in the triage data as factors in the heuristic function to calculate the optimal travel route.

[0035] Preferably, the consultation terminal 1 can also generate a travel route based on the weights of the triage data. Preferably, the consultation terminal 1 determines the detection time weight for each desired destination based on the detection time required for that destination. Preferably, the consultation terminal 1 determines the report time weight for each desired destination based on the report generation time. Preferably, the consultation terminal 1 determines the distance weight for each desired destination based on its location. Preferably, the consultation terminal 1 determines the queuing weight for each desired destination based on its queuing rate. Preferably, the consultation terminal 1 determines a recommended consultation index for each desired destination based on its detection time weight, report time weight, distance weight, and queuing weight, and outputs the corresponding desired destinations sequentially in descending order of the recommended consultation index to generate a travel route. Preferably, the consultation terminal 1 multiplies the detection time weight, report time weight, distance weight, and queuing weight to obtain the output value of the recommended consultation index.

[0036] This invention analyzes triage data for different desired destinations and dynamically adjusts user 3's travel route and the order of their desired destinations to adapt to real-time changes in the hospital and the personalized needs of patients. The planning of the user's travel route and the order of their desired destinations in this invention is a multi-objective, multi-constraint, and multi-variable optimization scheme. It comprehensively considers various factors and combines the specific circumstances of the hospital and the specific needs of the user, employing appropriate methods and technologies for solution.

[0037] Preferably, the consultation terminal 1 also has different route selection restrictions based on the timeline and / or user identity. These selection restrictions refer to limiting the choice of route in spatial location, including setting electronic restricted areas. The consultation terminal 1 selects the corresponding route based on these restrictions. At different times in the hospital, the doors of some wards and / or testing departments may be selectively opened or closed, making route planning unsuitable for all-day hospital guidance; the route selection needs to avoid these closed areas. The aforementioned electronic restricted areas refer to areas where users are prohibited from entering. Preferably, the consultation terminal 1 generates routes based on the selection restrictions. Preferably, the consultation terminal 1 generates routes based on the electronic restricted areas within the hospital at different times. Furthermore, during hospital consultations, external experts unfamiliar with the hospital may visit. The conventional routes provided by the consultation terminal 1 cannot meet the needs of such users, and the electronic restricted areas restricting ordinary users should be removed when such users use the service. Therefore, the consultation terminal 1 generates routes based on different personnel identities. In another embodiment, the aforementioned selection restrictions can also be user behavior or status. Consultation terminal 1 manages hospital resources by selecting constraints. For example, it can plan pedestrian flow to address congestion within the hospital. A user's behavior or state includes their physical condition and the status of their accompanying persons. For instance, a user may need a wheelchair, cane, or guide dog due to different physical conditions. If a user's behavior or state necessitates planning a specific route, corresponding constraints are set to obtain that route. Preferably, consultation terminal 1 plans a route that matches the user's behavior or state based on the constraints. More preferably, consultation terminal 1 plans a corresponding route that matches the constraints based on the user's physical condition and the status of their accompanying persons. For example, if a user is determined to be unable to walk for extended periods after completing a test and requires wheelchair assistance, or if a user needs to find their wheelchair after surgery, consultation terminal 1 can exclude pedestrian paths by selecting constraints to prevent the user from being impacted by crowds and prioritize the shortest path to the wheelchair area to guide the user to use a wheelchair. For example, if a user is traveling with a child and needs guidance, the consultation terminal 1 can exclude routes with high pedestrian traffic, multiple intersecting routes, and / or overly winding routes by selecting restrictions, thereby preventing children from easily getting lost or separated from the crowd. This invention plans user routes by defining restrictions on user behavior or status, achieving resource management for guiding pedestrian flow within the hospital, rather than simply providing route navigation as in existing navigation systems.This invention not only plans patient guidance routes for users, but also controls patient flow from the perspective of hospital resource management, and sets several selection restrictions to manage user travel routes.

[0038] Due to the sensitivity of the hospital's internal map resources, the digitized internal map cannot be made available to ordinary users. However, the current guidance methods, which rely solely on signs and simplified, desensitized paper-based internal maps, are still insufficient to guide users correctly and effectively. There are gaps in the guidance process, and the varying levels of understanding among ordinary users also make it difficult to implement the existing guidance methods effectively.

[0039] Given the aforementioned sensitivity, an effective way to proactively remind users is to utilize multiple smart terminals set up within the facility to display surrounding location information. Alternatively, it could provide navigation information to the user's destination. Preferably, the most intuitive and easily understood navigation information is an indication of the user's current orientation in terms of forward, backward, left, and right directions. However, given the large number of users, ensuring that each user is aware that the navigation information is sent to them personally is a technical problem that needs to be solved. A preferred approach is that each information terminal 1 can communicate with each user's smart terminal within a certain range, and this communication is based on a unique identification code verification within the facility. For example, users typically carry mobile phones. Using Bluetooth or near-field communication, information terminal 1 broadcasts encrypted navigation information with a unique identification code within its range. Only when a mobile phone receives encrypted navigation information corresponding to its pre-stored identification code will the content of the navigation information be decrypted and displayed on the corresponding mobile phone. This achieves the delivery of navigation information to the corresponding user's smart device based on their identity, while unrelated individuals will not receive navigation information because their identification codes do not match. Another feasible solution is for users to enter the hospital and receive a smart device, preferably a wearable smart device such as a smart bracelet, that can communicate with the consultation terminal 1. Each smart bracelet has a unique identification code and can receive wireless broadcasts within its range, verifying the identification code's correspondence as described above. If a correspondence is found, a notification is sent to the user. If the smart bracelet itself does not have a display function, a notification message (such as vibration, light, or sound) is sent to the user. After receiving the notification message, the user can locate the nearest consultation terminal 1 and find the navigation information corresponding to their identification code on the terminal 1's display. This solution achieves seamless navigation; users do not need to memorize the entire route, but only need to follow the navigation information they encounter. The navigation information is also relatively simple, even for users with slightly lower comprehension abilities. Furthermore, it avoids sending digitized hospital maps to all users, which could lead to potential data leaks, sensitive information leaks, or malicious data collection. Furthermore, it significantly reduces the likelihood of some users finding their own way based on 2D map navigation, ignoring the preferred suggestions or routes provided by the navigation information, which could lead to congestion or accidents in certain areas.

[0040] According to a preferred embodiment, the consultation terminals 1 are installed on various floors and in buildings throughout the hospital. Each consultation terminal 1 has a fixed installation location and a network IP address. Figure 3As shown, preferably, the consultation terminal 1 includes at least a level 1 consultation terminal, a level 2 consultation terminal, and a level 3 consultation terminal. Preferably, the consultation terminal 1 can also include devices with more access levels. Preferably, the level 1, level 2, and level 3 consultation terminals all have hardware for interacting with the user's smart device, such as Bluetooth, NFC, and card readers. Users or medical personnel can move through the complex spatial structure of the hospital by carrying smart devices, and the smart devices they carry can automatically communicate and interact with several level 1, level 2, and / or level 3 consultation terminals. The aforementioned level 1 consultation terminal is the terminal device with the highest modification authority over the user's triage data. This device is, for example, the RWX-C43 one-stop super terminal for medical services or a one-stop self-service machine from Beijing Rongwei Zhongbang Electronic Technology Co., Ltd. This level 1 consultation terminal can meet all outpatient business needs, and with its fixed network address, it can dynamically obtain relevant hospital map resources and the user's triage data. Preferably, the travel route is calculated by the level 1 consultation terminal. The level 1 consultation terminal at least uses the travel route calculation method described above to provide medical services to users using the level 1 consultation terminal. The aforementioned Level 2 consultation terminal can be a terminal device with secondary modification rights to the user's triage data. Examples of such devices include self-service inquiry machines, self-service check-in machines, or integrated clinic machines from Beijing Rongwei Zhongbang Electronic Technology Co., Ltd. Level 2 consultation terminals have corresponding hardware architecture, including built-in speakers, switching power supplies, operating systems, LED displays, and built-in Wi-Fi. Both Level 1 and Level 2 consultation terminals are equipped with high-precision barcode scanners and QR code scanning devices to quickly scan users' medical QR codes, consultation QR codes, or other QR codes that can identify the user and their consultation needs. The aforementioned Level 3 consultation terminal can be a terminal device with only display rights. Examples of such devices include standing advertising machines, clinic screens, or price quotations from Beijing Rongwei Zhongbang Electronic Technology Co., Ltd. Level 3 consultation terminals have corresponding displays and built-in Wi-Fi to communicate and interact with Level 1 and / or Level 2 consultation terminals that have modification rights.

[0041] When a user needs to travel to their next desired destination, the primary or secondary consultation terminal providing registration services can generate a travel route as described above. For example, after registering, if a user needs to go to a specific outpatient department, the primary or secondary consultation terminal generating the corresponding outpatient department's travel route will provide the route. Preferably, the primary or secondary consultation terminal can provide the user with a travel route by generating a QR code. The user scans the QR code using a smart device to obtain the corresponding travel route. If the user becomes disoriented during their journey, they can obtain the travel route again by scanning the nearest primary, secondary, or tertiary consultation terminal. Preferably, if the nearest consultation terminal 1 is a primary or secondary consultation terminal, it determines the user's identity and triage data through the scanned QR code and retrieves the user's desired destination from the previous route request. The primary or secondary consultation terminal then generates a travel route to the user's desired destination based on its own location. A primary or secondary consultation terminal generates a QR code corresponding to the travel route, which the user scans again to obtain the updated route. Preferably, when the nearest consultation terminal 1 to the user is a tertiary consultation terminal, the tertiary consultation terminal determines the user's identity and triage data through communication with the primary and / or secondary consultation terminals, and the primary and / or secondary consultation terminals obtain the user's desired destination when they last obtained the travel route. The primary and / or secondary consultation terminals generate a travel route to the user's desired destination based on the fixed location of the tertiary consultation terminal. The primary or secondary consultation terminal generates a QR code corresponding to the travel route and sends it to the tertiary consultation terminal, so that the tertiary consultation terminal's display module provides the QR code of the travel route to the user. The user obtains the updated route by scanning the QR code again.

[0042] If a user needs to change their desired destination or appointment time during their journey, they can modify their route using the nearest consultation terminal 1. For example, a user might need to temporarily change their appointment time or cancel treatment due to an unforeseen event. Or, a user might need to change their treatment or testing procedures due to specific needs. The user can then modify their route accordingly using consultation terminal 1. Preferably, if the nearest consultation terminal 1 is a primary consultation terminal, it modifies the editable items based on the user's identity, triage data, and needs, and generates a corresponding route and QR code to allow the user to quickly leave the hospital or reach their desired destination. If the primary consultation terminal does not have editing permissions, it indicates the location of the nearest medical station or doctor and generates a route to that location based on its current location. The primary consultation terminal also generates a QR code for the modified route for the user to access. For example, when a user's change request involves harming their health, the primary consultation terminal cannot modify the corresponding item. Instead, the request is delegated to a medical station or doctor for guidance, persuasion, or modification of the relevant decision. If the user's nearest consultation terminal (terminal 1) is a secondary consultation terminal, the secondary terminal, after verifying the user's identity, triage data, and needs, communicates with the primary consultation terminal to obtain the items it has modification authority for, and generates the modified travel route and corresponding QR code. If the secondary consultation terminal does not have modification authority, it generates a travel route to the nearest primary consultation terminal, medical station, or doctor. The user can select the desired primary consultation terminal, medical station, or doctor. The secondary consultation terminal generates a QR code for the travel route, allowing the user to access the modified route. For example, due to hardware limitations or software support issues, some modifications requiring a security level or secure payment environment cannot be performed by the secondary consultation terminal. In this case, the secondary consultation terminal guides the user to a primary consultation terminal, medical station, or doctor with modification authority for the corresponding modifications. When the nearest consultation terminal 1 to the user is a level 3 consultation terminal, the level 3 consultation terminal communicates and interacts with the level 1 or level 2 consultation terminal to obtain the user's travel route to the level 1 or level 2 consultation terminal and the corresponding QR code. The level 3 consultation terminal displays the QR code on the display module for the user to scan and obtain the updated travel route.

[0043] Throughout the text, the features referred to by “preferred” are only optional and should not be construed as mandatory. Therefore, the applicant reserves the right to abandon or delete the relevant preferred features at any time.

[0044] It should be noted that the specific embodiments described above are exemplary. Those skilled in the art can devise various solutions inspired by the disclosure of this invention, and these solutions all fall within the scope of this invention and its protection. Those skilled in the art should understand that this specification and its accompanying drawings are illustrative and not intended to limit the scope of the claims. The scope of protection of this invention is defined by the claims and their equivalents. This specification contains multiple inventive concepts; terms such as "preferredly," "according to a preferred embodiment," or "optionally" indicate that the corresponding paragraph discloses an independent concept. The applicant reserves the right to file divisional applications based on each inventive concept.

Claims

1. A patient guidance system, characterized in that, It includes at least a consultation terminal (1), wherein, When user (3) provides activation information to the consultation terminal (1), the consultation terminal (1) provides user (3) with at least one travel route matching user (3)'s desired destination based on the activation information associated with user (3). When forming the travel route, the consultation terminal (1) calculates and obtains the initial travel route based on the hospital resource information acquired within the initial time period and the real-time flow rate of each road node, and / or The consultation terminal (1) acquires information on resources within the hospital and calculates the real-time flow rate of each road node within the update time to update the initial travel route and form an updated travel route. In cases where user (3) needs to change their desired destination or appointment time during their journey, The consultation terminal (1) modifies the items that can be edited according to the user's (3) identity, triage data and user's (3) needs, and generates the corresponding travel route; If the consultation terminal (1) does not have modification permissions, the consultation terminal (1) points out the location of the nearest medical station or doctor to the user (3) and generates a travel route to the location of the medical station or doctor based on the current location. The consultation terminal (1) broadcasts encrypted navigation information with a unique identification code to the smart terminal carried by the user (3) within a certain range around it. The smart terminal will decrypt and display the content of the encrypted navigation information only when it receives the encrypted navigation information corresponding to its pre-stored identification code identification program.

2. The patient guidance system according to claim 1, characterized in that, The consultation terminal (1) is configured as follows: The department and / or doctor are selected based on the preset correspondence rules between the activation information and attribute information, and the initial travel route is obtained by jointly calculating based on the hospital resource information obtained in the initial time and the real-time flow rate of each road node. or Based on the activation information and in-hospital resource information, a triage model is established using machine learning methods or deep neural network classification models. The triage model is then used to identify the symptoms and intentions of the user (3) in the activation information in the form of a knowledge graph.

3. The patient guidance system according to claim 2, characterized in that, The consultation terminal (1) establishes a triage model based on the consultation data in the hospital database (2), using the activation information and in-hospital resource information, through machine learning methods or deep neural network classification models. Based on this triage model, it selects the destination and plans the travel route. The consultation terminal (1) identifies the medical reference in the activation information of the user (3) through the recognition model, and selects the corresponding attribute information through the triage model based on the obtained medical reference of the user (3).

4. The patient guidance system according to claim 3, characterized in that, With several information terminals (1) installed within the premises, the information terminals (1) located along the travel route relay the visual guidance information of the travel route to the user (3), wherein, In the event of updating the travel route, the consultation terminal (1) that is currently closest to the user (3) displays visual information guiding the updated travel route to the user (3).

5. The patient guidance system according to claim 4, characterized in that, The consultation terminal (1) closest to the user (3) is determined in the following manner: Based on the current travel route followed by the user (3), the last consultation terminal (1) that the user (3) passes through on the current travel route is determined. Based on the next consultation terminal (1) that will be passed on the current travel route, circular ranges are drawn with the center of both. The consultation terminal (1) in the intersection area of ​​at least two of the circular ranges is selected as the consultation terminal (1) closest to the user (3). The radius of the circular range is the straight-line distance between at least two consultation terminals (1).

6. The patient guidance system according to any one of claims 1 to 3, characterized in that, The consultation terminal (1) selects a travel route based at least on the time required for the user (3) to reach the destination, wherein, The consultation terminal (1) calculates the walking time under the length and flow rate of the travel route based on the average walking speed of the user (3) and the time taken to pass through the road node, and selects the travel route with the shortest walking time.

7. The patient guidance system according to claim 6, characterized in that, During the update period, the consultation terminal (1) recalculates the walking time of the user (3) on the route and selects the shortest route based on the length of the walking time to update the route.

8. The patient guidance system according to claim 4, characterized in that, The consultation terminal (1) can provide user Q&A to improve the user's (3's) activation information when the user (3) arrives at the next consultation terminal (1) or when there is a traffic jam at at least one road node. The consultation terminal (1) selects the content of the user Q&A based on the user's (3's) activation information, wherein, The consultation terminal (1) selects at least one question with the highest relevance as the user's (3) Q&A by traversing the medical references in the hospital database (2).

9. A patient guidance method, characterized in that, The method includes at least: When user (3) provides activation information to consultation terminal (1), consultation terminal (1) provides user (3) with at least one travel route matching user (3)'s desired destination based on the activation information associated with user (3). When forming the travel route, consultation terminal (1) calculates and obtains the initial travel route based on the hospital resource information acquired within the initial time period and the real-time flow rate of each road node, and / or The consultation terminal (1) acquires information on resources within the hospital and calculates the real-time flow rate of each road node within the update time to update the initial travel route and form an updated travel route. In cases where user (3) needs to change their desired destination or appointment time during their journey, The consultation terminal (1) modifies the items that can be edited according to the user's (3) identity, triage data and user's (3) needs, and generates the corresponding travel route; If the consultation terminal (1) does not have modification permissions, the consultation terminal (1) points out the location of the nearest medical station or doctor to the user (3), and generates a travel route to the location of the medical station or doctor based on the current location. The consultation terminal (1) broadcasts encrypted navigation information with a unique identification code to the smart terminal carried by the user (3) within a certain range around it. The smart terminal will decrypt and display the content of the encrypted navigation information only when it receives the encrypted navigation information corresponding to its pre-stored identification code identification program.

10. The patient guidance method according to claim 9, characterized in that, The method further includes: Departments and / or doctors are selected based on a preset correspondence rule between the activation information and attribute information, and an initial travel route is obtained by jointly calculating the in-hospital resource information acquired within the initial time and the real-time flow rate of each road node; or Based on the activation information and in-hospital resource information, a triage model is established using machine learning methods or deep neural network classification models. The triage model is then used to identify the symptoms and intentions of the user (3) in the activation information in the form of a knowledge graph.

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