Hospital intelligent hospital guide method and device, mobile electronic equipment and medium

Abstract

The invention relates to the field of hospital guide, in particular to an intelligent hospital guide method and device, mobile electronic equipment and a medium. The method comprises the steps that a hospital guide task is executed through a mobile electronic device (such as a handheld device or a tablet computer), the priority of each item to be examined is intelligently determined according to the items to be examined, the current position and main symptom information of a patient, and a personalized examination item plan and a guide route are generated; a doctor does not need to carry a smart phone by himself / herself, so that the operation process is greatly simplified, the elderly, children and other groups who are not good at using the smart phone can easily obtain the required examination information, and the doctor does not need to frequently inquire medical staff or frequently inquire on fixed and large-scale self-service inquiry equipment; and the convenience of special doctor-seeing people in the doctor-seeing process is improved.

Description

Technical Field

[0001] The present application relates to the field of hospital medical guidance, and in particular to a hospital intelligent medical guidance method, device, portable electronic device and medium. Background Art

[0002] In the modern medical environment, with the rapid development and widespread application of smart medical technology, major hospitals are gradually introducing and optimizing intelligent medical guidance systems, such as installing large-scale self-service consultation equipment in specific locations, aiming to improve medical efficiency through technological means, improve patients' medical experience, and optimize the allocation of medical resources.

[0003] However, in actual applications, these advanced intelligent systems cannot bring out their due advantages in all scenarios. Especially in some special groups of patients, such as the elderly who come to the hospital alone for a physical examination, or when the elderly accompany children for medical examinations, these systems face a series of challenges. Specifically, the particularity of the elderly and children is that they may not have the ability or habit of using smartphones. In this case, the elderly and children can only rely on fixed, large self-service consultation equipment in the hospital to make inquiries. However, although these devices provide guidance services to a certain extent, the self-service consultation equipment is generally fixed in a specific location, and the elderly may not be able to remember the complete guidance information in a short query process, which makes the elderly frequently query on various large self-service consultation equipment, or frequently ask staff, which undoubtedly increases the difficulty and time cost of medical treatment and brings many inconveniences to their medical treatment process. Summary of the invention

[0004] In order to improve the convenience of special patients during the medical treatment process, the present application provides a hospital intelligent guidance method, device, mobile electronic device and medium.

[0005] In the first aspect, the present application provides a hospital intelligent diagnosis guidance method, which adopts the following technical solutions: A hospital intelligent diagnosis guidance method, comprising: Receive the items to be examined and main symptom information of the patient, and obtain the current location and the examination location corresponding to the items to be examined, the patient belongs to a special patient group, the main symptom information is the clinical manifestation information of the disease or symptom, and the patient corresponds to a mobile electronic device; Determine the priority of each item to be inspected based on the current location, the inspection location, and the main symptom information; Determine the examination item plan corresponding to the patient based on the priority corresponding to each of the items to be examined; Generate a guidance route corresponding to the examination project plan, and guide the patient based on the guidance route.

[0006] By adopting the above technical solution, the medical guidance task is performed through mobile electronic devices (such as handheld devices or tablet computers, etc.), and the priority of each item to be examined is intelligently determined according to the patient's items to be examined, current location and main symptom information, and a personalized examination item plan and guidance route are generated. There is no need for patients to carry their own smartphones, which greatly simplifies the operation process, so that groups such as the elderly and children who are not good at using smartphones can easily obtain the required examination information without frequently asking medical staff or frequently inquiring on fixed, large-scale self-service consultation equipment, thereby improving the convenience of special patients during the medical treatment process.

[0007] In a possible implementation, determining the priority of each item to be inspected based on the current location, the inspection location, and the main symptom information includes: Based on the main symptom information, determine whether there are urgent inspection items among the items to be inspected; If there is an urgent inspection item among the items to be inspected, the priority corresponding to the urgent inspection item is determined as the first priority, and the items to be inspected except the urgent inspection item are determined as the remaining inspection items; Predicting the inspection waiting time and result waiting time of each of the remaining inspection items, and obtaining the inspection stop time corresponding to each of the remaining inspection items; Determine the priority corresponding to each of the remaining inspection items based on the inspection waiting time, result waiting time and the inspection stop time of each of the remaining inspection items; The priority level corresponding to each to-be-inspected item is determined based on the first priority level corresponding to the emergency inspection item and the priority level corresponding to each of the remaining inspection items.

[0008] By adopting the above technical solutions and the intelligent priority determination method, not only the efficiency of medical treatment is improved, but also the rational use of medical resources is ensured, so that the hospital can respond to the emergency needs of patients more quickly, while optimizing the arrangement of non-emergency examination items, thereby improving the overall service quality and patient satisfaction.

[0009] In a possible implementation, generating a guidance route corresponding to the examination project plan, and guiding the patient based on the guidance route includes: Based on the inspection project plan, determine the next inspection project corresponding to the patient, and obtain the inspection position corresponding to the next inspection project; Based on the current location of the patient and the inspection location corresponding to the next item to be inspected, a guidance route is generated in real time; Obtaining current image information corresponding to the current location and obtaining real-view image information of the hospital; Based on the current image information and the real scene information, construct a three-dimensional model corresponding to the current position in real time; Based on the guidance route, virtual navigation elements are displayed on the three-dimensional model to provide guidance to the patient.

[0010] By adopting the above technical solutions, through intelligent guidance route generation and three-dimensional model navigation technology, an efficient, convenient and intuitive navigation service is provided to patients, which not only improves the efficiency of medical treatment, but also enhances the patients' medical experience and satisfaction.

[0011] In a possible implementation, based on the current location of the patient and the inspection location corresponding to the next item to be inspected, a guidance route is generated in real time, including: Obtaining the infection location corresponding to the hospital, wherein the infection location includes departments and wards where the infection source may exist; Based on the infection location, the current location of the patient and the inspection location corresponding to the next item to be inspected, a guidance route corresponding to the patient is generated in real time.

[0012] By adopting the above technical solution, a safe and efficient guidance route is generated in real time by comprehensively considering the infection location in the hospital, the current location of the patient and the inspection location of the next item to be inspected. This not only improves the efficiency and convenience of the patients' medical treatment, but also significantly reduces the risk of cross-infection, thereby greatly improving the patients' medical experience and satisfaction, and also makes important contributions to the hospital's safety management and prevention and control work.

[0013] In a possible implementation, after generating the guidance route corresponding to the inspection project plan, the method further includes: Detecting whether the status of each examination item of the patient is completed, wherein the examination items are the examination items completed or the items to be examined of the patient; If there is an inspection item whose status is completed, the inspection item whose status is completed is taken as the target inspection item, and the time to receive the result of the target inspection item is predicted; At the time of receiving the result, sending a receiving instruction to the inspection device of the target inspection item to obtain the inspection result of the target inspection item; Based on the examination results of the target examination items and the main symptom information, the examination item plan corresponding to the patient is re-determined.

[0014] By adopting the above technical solutions, through real-time monitoring of the status of examination items, predicting the time to collect results, automatically obtaining examination results and re-determining the examination project plan, the medical process has been made intelligent and efficient, which not only improves the medical experience of patients, but also improves the work efficiency and service quality of the hospital.

[0015] In a possible implementation, based on the examination results of the target examination items and the main symptom information, re-determining the examination item plan corresponding to the patient includes: Identify parameter data of each parameter in the inspection result, and determine whether there is an abnormal parameter in the parameter corresponding to the inspection result, wherein the abnormal parameter is a parameter whose parameter data does not fall within the corresponding normal range; If there are abnormal parameters in the parameters corresponding to the examination results, predict the invisible disease corresponding to the patient based on the main symptom information and the abnormal parameters, and determine the risk level of the invisible disease; Obtain the examination items and departments corresponding to the invisible disease; Based on the risk level of the invisible disease, determine the priorities of the inspection items and departments corresponding to the invisible disease and the priorities of the items to be done; Based on the examination items corresponding to the invisible disease and the respective priorities of the departments and the priorities of the items to be done, the examination item plan corresponding to the patient is regenerated.

[0016] By adopting the above technical solutions, through detailed analysis of examination results, prediction of hidden diseases, assessment of risk levels and optimization of resource allocation, not only the medical experience and satisfaction of patients are improved, but also the work efficiency and service quality of the hospital are improved.

[0017] In a possible implementation, determining the risk level of the invisible disease includes: Determining the abnormality degree corresponding to the abnormal parameter, and determining whether the abnormality degree exceeds a preset degree threshold; If the abnormality exceeds the preset threshold, the risk level of the invisible disease is determined to be high risk; If the degree of abnormality does not exceed the preset degree threshold, the historical symptom information of the patient is obtained, and the disease characteristics corresponding to the invisible disease are obtained to determine whether the disease characteristics exist in the historical symptom information. If the disease characteristics exist in the historical symptom information, the risk level of the invisible disease is determined to be high risk; if the disease characteristics do not exist in the historical symptom information, the risk level of the invisible disease is determined to be low risk.

[0018] By adopting the above-mentioned technical solutions, a comprehensive, detailed and scientific assessment method is adopted when determining the risk level of invisible diseases, which provides strong support for subsequent medical decisions, thereby not only improving the accuracy and personalization of medical services, but also enhancing the scientificity and reliability of medical decisions.

[0019] In the second aspect, the present application provides a hospital smart medical guidance device, which adopts the following technical solution: A hospital intelligent diagnosis guidance device, comprising: an acquisition module, for receiving the items to be examined and the main symptom information of the patient, and acquiring the current position and the examination position corresponding to the items to be examined, wherein the patient belongs to a special patient group, the main symptom information is the clinical manifestation information of the disease or symptom, and the patient corresponds to a mobile electronic device; A first determination module, configured to determine a priority corresponding to each item to be inspected based on the current location, the inspection location, and the main symptom information; A second determination module is used to determine the examination project plan corresponding to the patient based on the priority corresponding to each of the items to be examined; A generation module is used to generate a guidance route corresponding to the examination project plan and to guide the patient based on the guidance route.

[0020] In a third aspect, the present application provides a mobile electronic device, which adopts the following technical solution: A portable electronic device, comprising: at least two image acquisition units and at least one image display unit; at least one processor; Memory; At least one application, wherein at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the hospital intelligent guidance method described in the first aspect above.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium, comprising: storing a computer program that can be loaded by a processor and execute the hospital intelligent diagnosis guidance method described in the first aspect above.

[0022] In summary, this application includes the following beneficial technical effects: The guidance task is performed through mobile electronic devices (such as handheld devices or tablets), and the priority of each item to be examined is intelligently determined according to the patient's examination items, current location and main symptom information, and a personalized examination item plan and guidance route are generated. There is no need for patients to carry their own smartphones, which greatly simplifies the operation process. Groups who are not good at using smartphones, such as the elderly and children, can also easily obtain the required examination information without frequently asking medical staff or frequently inquiring on fixed, large-scale self-service consultation equipment, thereby improving the convenience of special patients during the medical process. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a schematic diagram of interaction between a patient and a mobile electronic device provided in an embodiment of the present application; Figure 2 It is a flowchart of a hospital intelligent diagnosis guidance method provided by an embodiment of the present application; Figure 3 It is a block diagram of a hospital intelligent medical guidance device provided in an embodiment of the present application; Figure 4 It is a schematic diagram of a mobile electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The following is combined with Figure 1 -Attached Figure 4 This application is described in further detail.

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] In the modern medical environment, with the rapid development and widespread application of smart medical technology, major hospitals are gradually introducing and optimizing intelligent medical guidance systems, such as smart medical guidance equipment. Smart medical guidance equipment usually has functions such as information query and department guidance. Smart medical guidance equipment generally has an LED screen, a code scanning port and a card insertion port. The code scanning port and the card insertion port are usually used to obtain the current patient's medical information and receive the current patient's instructions to answer questions for the current patient and guide the patient to the correct department for treatment.

[0027] However, in actual applications, advanced intelligent systems do not always work to their maximum effect in all situations, especially in special groups such as the elderly and children. Since they may not be good at or have no habit of using smartphones, they rely more on large self-service consultation equipment in hospitals. However, although these devices can provide guidance services, they are often fixed in a certain place. It may be difficult for the elderly to remember all the guidance information in a short time, causing them to repeatedly query the equipment or ask the staff, which not only increases the complexity of medical treatment, but also prolongs the time of medical treatment, causing them many inconveniences.

[0028] In order to improve the convenience of medical treatment for special groups such as the elderly and children, see Figure 1 When there are only special patients among the patients and their accompanying persons, the patient corresponds to a mobile electronic device for providing guidance information to the patients and their accompanying persons in real time, thereby improving the convenience of special patients during the medical treatment process.

[0029] See also Figure 2 The embodiment of the present application provides a hospital intelligent diagnosis guidance method, which is executed by a mobile electronic device, and the method includes: Step S201, receiving the patient's items to be examined and main symptom information, and obtaining the current position and the examination position corresponding to the item to be examined.

[0030] Among them, the patient belongs to a special patient group, which is a group of people who do not have smart phones but can receive medical treatment. The special patient group may include the elderly and children, etc. Among them, when the patient belongs to the special patient group and the accompanying person does not belong to the special patient group, the patient is determined to be a non-special patient group; when the patient belongs to the special patient group and the accompanying person belongs to the special patient group, the patient is determined to belong to the special patient group.

[0031] Specifically, when the patient belongs to the special patient group, the patient enters the appointment department for treatment. After the department doctor determines that the patient belongs to the special patient group and the accompanying person belongs to the special patient group, the mobile electronic device corresponding to the patient is determined, and the mobile electronic device is connected to the terminal of the department doctor. The mobile electronic device receives the items to be examined and the main symptom information of the patient on the terminal of the department doctor. Therefore, one patient corresponds to one mobile electronic device. Among them, the main symptom information is the clinical manifestation information of the disease or symptom. For example, the main symptom information may include fever, chest pain accompanied by cough.

[0032] Furthermore, after the mobile electronic device receives the patient's examination items and main symptom information, it can obtain the current location and the examination location corresponding to each examination item from the hospital database, so as to lay the foundation for subsequent guidance work.

[0033] Furthermore, in order to prevent the mobile electronic device from being lost or the elderly from taking it out of the hospital due to poor memory, each mobile electronic device that guides the patient is connected to the terminal of the corresponding manager, and each mobile electronic device will send the location to the terminal of the corresponding manager in real time. When the location of the mobile electronic device leaves the hospital or does not move for a long time, the mobile electronic device generates a suspicious signal and sends the suspicious signal to the terminal of the corresponding manager, so that the manager can take action according to the location of the mobile electronic device.

[0034] Step S202: Determine the priority level of each item to be inspected based on the current location, inspection location, and main symptom information.

[0035] The portable electronic device corresponds to a hospital database, which stores the positions of various departments and examination positions in the hospital, as well as various examination items and the examination result parameters and examination body parts corresponding to each examination item.

[0036] After obtaining the main symptom information, it can be determined whether there are any symptoms in the main symptom information that are emergency symptoms. If there are symptoms that are emergency symptoms, the priority of the items to be inspected corresponding to the emergency symptoms is determined as the first priority, and the priority is determined based on the inspection positions corresponding to the remaining items to be inspected. Specifically, the preset emergency symptoms and the urgency level corresponding to each preset emergency symptom are obtained from the hospital database, and each symptom in the main symptom information is compared with the preset emergency symptoms to determine whether the patient has an emergency symptom. Among them, the hospital database also stores preset emergency symptoms and the corresponding urgency levels.

[0037] When the patient has emergency symptoms, based on the urgency level corresponding to each emergency symptom and in descending order, an emergency symptom sequence is obtained, and the items to be inspected corresponding to each emergency symptom in the emergency symptom sequence are determined, and the priority of each item to be inspected corresponding to the emergency symptom is determined according to the urgency level corresponding to the emergency symptom. The symptoms other than the emergency symptoms are determined as the remaining symptoms, and the first inspection position of the item to be inspected with the lowest priority among the items to be inspected corresponding to the emergency symptoms is obtained. Based on the first inspection position and the inspection positions of the items to be inspected corresponding to the remaining symptoms, the inspection position closest to the first inspection position is determined as the second inspection position; and from each inspection position other than the first and second inspection positions, the inspection position closest to the second inspection position is determined as the third inspection position, and so on, the inspection order of each item to be inspected is obtained, thereby obtaining the priority corresponding to each item to be inspected.

[0038] More specifically, the method for determining the to-be-checked item corresponding to each emergency symptom may be: obtaining the inspection result parameters and the inspection body part corresponding to each to-be-checked item from the hospital database, and determining the inspection function corresponding to each to-be-checked item based on the inspection result parameters and the inspection body part corresponding to each to-be-checked item. For example, if the to-be-checked item is a blood sugar test, the inspection result parameter corresponding to the to-be-checked item is the blood sugar value, and the inspection body part is blood, then determining the inspection function corresponding to the to-be-checked item is determining whether the symptoms of the patient are caused by blood sugar. After obtaining the inspection function and the main symptom information, the correlation degree between each inspection function and each emergency symptom is calculated, and the to-be-checked item corresponding to the inspection function with a correlation degree greater than the correlation degree threshold is determined as the to-be-checked item corresponding to each emergency symptom. Specifically, since the abnormal physical signs corresponding to the abnormal examination result parameters are relatively fixed, that is, the physical symptoms corresponding to the abnormal examination result parameters are relatively fixed, and the body part to be examined is generally the part corresponding to the symptoms of the patient or the part corresponding to the abnormal parameters, the physical symptoms corresponding to the abnormal examination result parameters of each item to be examined can be obtained, and the symptom similarity calculation rule is used to compare the physical symptoms with the emergency symptoms to obtain the first similarity, and the part similarity calculation rule is used to compare the examined body part with the abnormal body part corresponding to the emergency symptoms to obtain the second similarity, and the weighted average method is used to obtain the preset weight of the first similarity and the preset weight of the second similarity, and the degree of association between the examination effect of each item to be examined and each emergency symptom is calculated. Among them, the symptom similarity calculation rule can be a keyword matching rule, the part similarity calculation rule can be a spatial distance method, the association degree threshold and the preset weight are both preset in advance, the preset weight of the first similarity can be 0.5, and the preset weight of the second similarity can be 0.5, which is not limited in the embodiment of the present application. It is worth noting that when there are two emergency symptoms corresponding to one item to be checked, the priority is determined according to the emergency symptom with a higher urgency. The higher the urgency, the higher the priority of the corresponding item to be checked.

[0039] When the patient does not have emergency symptoms, after obtaining the current location and inspection location, the inspection location closest to the current location can be determined according to the current location and each inspection location as the first target inspection location; and from each inspection location other than the first target inspection location, the inspection location closest to the first target inspection location can be determined as the second target inspection location, and so on, to obtain the inspection order of each item to be inspected, so as to obtain the priority corresponding to each item to be inspected.

[0040] Step S203: Determine the examination item plan corresponding to the patient based on the priority corresponding to each item to be examined.

[0041] After obtaining the priority corresponding to each item to be examined, the inspection order corresponding to the item to be examined can be directly generated according to the priority corresponding to each item to be examined, and based on the inspection order, the inspection item plan corresponding to the patient can be obtained.

[0042] Specifically, the inspection project plan may also include total path data and total waiting time data. More specifically, the first current number of people to be inspected and the first historical average inspection time per capita of the first inspection position are obtained, and the product of the first historical average inspection time per capita and the first current number of people to be inspected is calculated to obtain the first waiting time; the second current number of people to be inspected and the second historical average inspection time per capita of the second inspection position are obtained, and the product of the second historical average inspection time per capita and the second current number of people to be inspected is calculated to obtain the second waiting time, and so on, the waiting time corresponding to each inspection position is obtained, and the sum of each waiting time is calculated to obtain the total waiting time, and the waiting time corresponding to each inspection position is imported into the corresponding inspection position in the inspection sequence corresponding to the inspection item to be inspected to obtain the primary inspection project plan, and then the total waiting time is imported into the primary inspection project plan to obtain the inspection project plan corresponding to the patient. For example, the inspection project plan can be to start from the current position, first go to the blood routine position, wait for about 10 minutes to perform a blood routine test, then go to the urine routine position, wait for about 5 minutes to perform a urine routine test, and then go to the brain CT position, and wait for about 15 minutes to perform a brain CT test.

[0043] Step S204: Generate a guidance route corresponding to the examination project plan, and guide the patient based on the guidance route.

[0044] After obtaining the inspection project plan, the route information between the current location and the next location can be obtained from the hospital database, and the route information between the current location and the next location can be displayed in the form of language prompts and arrow prompts, so as to obtain the guidance route corresponding to the inspection project plan, and guide the patient based on the guidance route. Specifically, the geographical location information and connection relationship in the hospital database are used to plan the optimal route with the shortest distance or shortest time from the current location to the next inspection project location, and then the planned route information is converted into a natural language description and played to the patient through the speaker or earphone of the mobile electronic device. For example, "Please go straight along the current corridor, turn right after passing two intersections, and you will reach Department X." According to the direction the patient should go, an arrow icon consistent with the direction of travel is displayed on the mobile device to indicate the direction the patient should go. Among them, the arrow icon can be dynamically updated as the patient moves, and always points to the direction of the next inspection item.

[0045] The embodiment of the present application provides a hospital intelligent medical guidance method, which performs medical guidance tasks through mobile electronic devices (such as handheld devices or tablet computers, etc.), and intelligently determines the priority of each item to be examined according to the patient's items to be examined, current location and main symptom information, and generates personalized examination item plans and guidance routes. Patients do not need to carry their own smartphones, which greatly simplifies the operation process, so that groups such as the elderly and children who are not good at using smartphones can easily obtain the required examination information without frequently asking medical staff or frequently inquiring on fixed, large-scale self-service consultation equipment, thereby improving the convenience of special patients during the medical treatment process.

[0046] A possible implementation of the embodiment of the present application is that in the above step S202, based on the current location, the inspection location and the main symptom information, the priority corresponding to each item to be inspected is determined, including: Based on the main symptom information, determine whether there are urgent inspection items among the items to be inspected; If there are urgent inspection items among the items to be inspected, the priority corresponding to the urgent inspection items shall be determined as the first priority, and the items to be inspected except the urgent inspection items shall be determined as the remaining inspection items; Predict the inspection waiting time and result waiting time of each other inspection item, and obtain the corresponding inspection stop time of each other inspection item; Determine the priority of each of the remaining inspection items based on the inspection waiting time, result waiting time, and inspection stop time of each of the remaining inspection items; The priority level corresponding to each to-be-inspected item is determined based on the first priority level corresponding to the urgent inspection item and the priority levels corresponding to each of the remaining inspection items.

[0047] Among them, the hospital database also stores preset examination items corresponding to each preset emergency symptom.

[0048] Specifically, the preset emergency symptoms and the urgency level corresponding to each preset emergency symptom are obtained from the hospital database, and the preset examination items corresponding to each preset emergency symptom are obtained from the hospital database, and each symptom in the main symptom information is compared with the preset emergency symptoms to determine whether the patient has emergency symptoms.

[0049] When the patient has an emergency symptom, the preset inspection items corresponding to the emergency symptom are obtained, and the preset inspection items corresponding to each emergency symptom are compared with the items to be inspected, and the inspection items in the items to be inspected that are consistent with the preset inspection items corresponding to the emergency symptom are determined as emergency inspection items. Based on the urgency corresponding to each first item to be inspected, the priority corresponding to the emergency inspection item is determined as the first priority (when there are multiple emergency inspection items, according to the urgency corresponding to each emergency inspection item, the first priority of the emergency inspection item with a high urgency is determined as a higher first priority, and the first priority of the emergency inspection item with a low urgency is determined as a lower first priority).

[0050] Furthermore, the items to be inspected except the emergency inspection items are determined as the remaining inspection items, that is, the inspection items among the items to be inspected that are inconsistent with the preset inspection items corresponding to the emergency symptoms are determined as the remaining inspection items, and the current number of people to be inspected and the historical average inspection time per person corresponding to each remaining inspection item are obtained, and the product of the historical average inspection time per person and the corresponding current number of people to be inspected is calculated to obtain the inspection waiting time corresponding to each remaining inspection item, and the historical average time required for the inspection result corresponding to each remaining inspection item is obtained to obtain the result waiting time corresponding to each remaining inspection item.

[0051] Furthermore, since some examination items end earlier, for example, blood drawing items generally end at 12:30 noon, in order to avoid the situation where patients cannot undergo examinations due to the end of the items, the stop examination time corresponding to each item to be examined can be obtained from the hospital database to obtain the stop examination time corresponding to each remaining examination item. Further, it is determined whether there are other examination items whose stop examination time is earlier than the stop time threshold. If there are other examination items whose stop examination time is earlier than the stop time threshold, the priority of the other examination items earlier than the stop time threshold is determined as the second priority (when there are multiple other examination items earlier than the stop time threshold, according to the stop examination time, the second priority with an earlier stop examination time is determined as a higher second priority, and the second priority with a later stop examination time is determined as a lower second priority), and the remaining examination items later than the stop time threshold are determined in order from short to long in terms of the waiting time for the examination. Among them, the shorter the waiting time for the examination, the higher the priority. If there are no other examination items whose stop examination time is earlier than the stop time threshold, according to the waiting time, the priority with a shorter waiting time is determined as a higher priority, and the priority with a longer waiting time is determined as a lower priority.

[0052] When the patient does not have emergency symptoms, the items to be examined are sorted in order from short to long according to the waiting time for the examination to obtain a first examination sequence, and are sorted according to the waiting time for the result to obtain a second examination sequence, and scores are assigned to each item to be examined corresponding to the first examination sequence and the second examination sequence, and the preset weights corresponding to the first examination sequence and the second examination sequence are obtained, and a comprehensive score of the item to be examined is calculated based on the score of the same item to be examined and the corresponding two preset weights, and the priority of the item to be examined is determined based on each comprehensive score. It is worth noting that, according to the order in the inspection sequence, the scores are from large to small. For example, in the first inspection sequence, the score corresponding to item a to be inspected is 3, the score corresponding to item b to be inspected is 2, and the score corresponding to item c to be inspected is 1. In the second inspection sequence, the score corresponding to item b to be inspected is 5, the score corresponding to item c to be inspected is 4, and the score corresponding to item a to be inspected is 1. The preset weight corresponding to the first inspection sequence is 0.6, and the preset weight corresponding to the second inspection sequence is 0.4. The calculated comprehensive score of item a to be inspected is 3*0.6+1*0.4=2.2, the comprehensive score of item b to be inspected is 3.2, and the comprehensive score of item c to be inspected is 3. Therefore, item b to be inspected has the highest priority, item c to be inspected has the second highest priority, and item a to be inspected has the lowest priority.

[0053] A possible implementation of the embodiment of the present application, in the above embodiment, generating a guidance route corresponding to the examination project plan, and guiding the patient based on the guidance route, includes: Based on the inspection project plan, determine the next inspection project corresponding to the patient, and obtain the inspection location corresponding to the next inspection project; Generate a guidance route in real time based on the patient's current location and the location of the next item to be examined; Get the current image information corresponding to the current location and get the real-life image information of the hospital; Based on the current image information and real-scene information, a 3D model corresponding to the current position is constructed in real time; Based on the guidance route, virtual navigation elements are displayed on the 3D model to provide guidance for patients.

[0054] The inspection project plan includes the inspection locations (such as floors, room numbers, etc.) corresponding to all the items to be inspected and the inspection order of the items to be inspected. The hospital database also stores the hospital's real-life map information and virtual navigation elements.

[0055] Specifically, the next examination item that the patient needs to go to can be determined according to the examination order of the examination item plan, and its corresponding examination location can be obtained. After obtaining the examination location corresponding to the next examination item, the geographical location information and connection relationship in the hospital database can be used to plan the optimal route with the shortest distance or shortest time from the current location to the location of the next examination item, and a guidance route with turn instructions can be generated in real time.

[0056] Furthermore, the real-time image information corresponding to the current location acquired by the image acquisition device can be obtained in real time, and the real-life map information of the hospital (such as floor plan, department identification map, etc.) can be obtained from the hospital database, and based on the current image information and real-life map information, a 3D model corresponding to the current location can be constructed in real time using computer vision and 3D modeling technology. The 3D model can reflect the actual layout of the hospital and the current location of the patient.

[0057] Furthermore, virtual navigation elements (including arrows, signs, path markers, etc.) are obtained from the hospital database to indicate the guidance route on the 3D model. The virtual navigation elements are superimposed on the 3D model and dynamically updated according to the steps and turn instructions of the guidance route. This allows the patient to see a real-time updated 3D model containing virtual navigation elements on a mobile device, so that the patient can easily find the location of the next item to be examined.

[0058] A possible implementation of the embodiment of the present application, in the above embodiment, based on the current location of the patient and the inspection location corresponding to the next item to be inspected, a guidance route is generated in real time, including: Obtain the infection locations corresponding to the hospital, including departments and wards where infection sources may exist; Based on the infection location, the patient's current location and the inspection location corresponding to the next item to be inspected, a guidance route corresponding to the patient is generated in real time.

[0059] Among them, the hospital database also contains departments and wards where there may be sources of infection, that is, infection locations, which may include infectious disease departments, fever clinics, isolation wards, etc.

[0060] Specifically, the infection location is obtained from the hospital database and clearly marked in the hospital layout map. The personal information of the patient is obtained, including the patient's current location, the next scheduled inspection item and its corresponding inspection location, etc. Based on the hospital layout map and the infection location information, and according to the patient's current location and the inspection location of the next inspection item, a path planning algorithm is used to generate a guidance route that avoids the infection location. Among them, the path planning algorithm can be an A* algorithm or a Dijkstra algorithm, and the cost function (or weight) in the path planning algorithm is modified to consider both the path length and the safety of avoiding the infection area on the path. For example, a higher cost can be assigned to a path that passes near the infection area. In the path planning algorithm, when a node (i.e., a location on the map) is expanded, it should be checked whether the node is located in the infection area. If so, it is excluded from the expansion list, and if not, it is not excluded.

[0061] Since the flow of people and the location of infection in the hospital may change to a certain extent, the infection location of the hospital can be obtained in real time, and the path planning algorithm can be used to update and dynamically adjust the guidance route in real time based on the infection location of the hospital at the current moment. For example, when a department is temporarily set as an isolation area, the route should be updated to avoid the area. When the patient arrives at the hospital and enters his current location, the path planning algorithm will generate an optimal guidance route based on the above information. The guidance route can indicate the shortest and safest path for the patient from the current location to the inspection location of the next item to be inspected.

[0062] In a possible implementation manner of the embodiment of the present application, after the above step S204, the method further includes: Check whether the status of each examination item of the patient is completed, and whether the examination item is a completed examination item or an item to be examined by the patient; If there is an inspection item whose status is done, the inspection item with the status done is taken as the target inspection item, and the time to receive the result of the target inspection item is predicted; At the time of receiving the results, a receiving instruction is sent to the inspection equipment of the target inspection item to obtain the inspection results of the target inspection item; Based on the examination results of the target examination items and the main symptom information, the examination item plan corresponding to the patient is re-determined.

[0063] Among them, one inspection item corresponds to one inspection device.

[0064] Specifically, after the mobile electronic device generates a plan for the inspection items, the patient undergoes the inspection according to the plan. When the patient completes an item to be inspected, the status of the item to be inspected is converted from an un-done state to a done state, and the inspection item in the done state is used as the target inspection item. More specifically, it can be determined whether the item to be inspected has been paid to determine whether the patient has performed the item to be inspected. When the item to be inspected has been paid, it indicates whether the patient has performed the item to be inspected, that is, the status of the item to be inspected is done.

[0065] Furthermore, the historical average time required for obtaining the inspection result corresponding to each item to be inspected is obtained from the hospital database, and based on the conversion time when the target inspection item is converted from the un-done state to the done state and the historical average time corresponding to the target inspection item, the time to obtain the result of the target inspection item is predicted. Furthermore, at the predicted result collection time, the mobile electronic device automatically sends a receiving instruction to the inspection device of the target inspection item, and after receiving the receiving instruction, the inspection device sends the inspection result to the mobile electronic device. The receiving instruction is used to control the inspection device to send the inspection result of the target inspection item.

[0066] After obtaining the examination results of the target examination items and the main symptom information of the patient, the examination results and the main symptom information of the patient are sent to the terminal of the department doctor, and the adjusted examination items sent by the terminal of the department doctor are received, and the examination item plan corresponding to the patient is regenerated based on the adjusted examination items. Among them, the adjusted examination items may include adding new examination items or canceling unnecessary examination items in the original examination items. It is worth noting that the process of regenerating the examination item plan corresponding to the patient based on the adjusted examination items is consistent with the process of determining the examination item plan corresponding to the patient in the above step S203, and the embodiment of the present application is not limited to this.

[0067] A possible implementation of the embodiment of the present application, in the above embodiment, based on the examination results of the target examination items and the main symptom information, re-determining the examination item plan corresponding to the patient includes: Identify the parameter data of each parameter in the inspection result, and determine whether there are abnormal parameters in the parameters corresponding to the inspection result, where the abnormal parameters are parameters whose parameter data does not fall within the corresponding normal range; If there are abnormal parameters in the parameters corresponding to the test results, the invisible disease corresponding to the patient is predicted based on the main symptom information and the abnormal parameters, and the risk level of the invisible disease is determined; Obtain the examination items and departments corresponding to invisible diseases; Based on the risk level of invisible diseases, determine the inspection items and departments corresponding to invisible diseases, as well as the priorities of pending items; Based on the examination items corresponding to invisible diseases, the respective priorities of departments and the priorities of pending items, the examination item plan corresponding to the patient is regenerated.

[0068] Each examination result includes at least one result parameter data, and the parameter data generally includes various physiological indicators, biochemical indicators, imaging data, and the like.

[0069] After obtaining the inspection results of the target inspection items, the parameter data of each parameter can be identified from the inspection results of the target inspection items, and the normal range corresponding to each parameter can be obtained from the hospital database, and these parameter data can be compared with their respective normal ranges to determine whether there are abnormal parameters. If the parameter data of a parameter is not within its normal range, the parameter data that does not belong to the normal range will be regarded as an abnormal parameter; if there is no parameter whose parameter data is not within its normal range, the inspection results of the target inspection items will be determined to be normal.

[0070] When there are abnormal parameters in the parameters of the target examination results, based on the main symptom information and the abnormal parameters, the possible disease corresponding to the abnormal parameter is obtained from the hospital database, that is, when the patient suffers from a possible disease, the parameter data corresponding to the abnormal parameter in the target examination result does not belong to the corresponding normal range. Since the department doctor prescribes the examination items based on the main symptom information of the patient, the symptoms corresponding to the invisible disease may not be consistent with the main symptom information, so that the department hospital does not prescribe the examination items corresponding to the invisible disease. Therefore, the possible symptoms corresponding to the possible disease can be obtained from the hospital database, and the possible symptoms corresponding to each possible disease are compared with the main symptom information, and the possible symptoms and the possible diseases of the main symptom information are determined as invisible diseases. Among them, the symptoms corresponding to the invisible disease are inconsistent with the main symptom information of the patient, that is, it cannot be inferred that the patient may have the invisible disease based on the main symptom information of the patient.

[0071] After predicting the invisible disease corresponding to the patient, the risk level of the invisible disease can be determined based on the degree to which the parameter data corresponding to the abnormal parameter exceeds its normal range. Specifically, the first difference between the maximum value and the minimum value of the normal range is calculated, and the second difference between the parameter data greater than the maximum value of the normal range or less than the minimum value of the normal range is calculated, and the multiple of the second difference and the first difference is calculated, and the preset multiples corresponding to each severity of the invisible disease are obtained from the hospital database. Based on the multiples of the second difference and the first difference and the preset multiples, the severity of the invisible disease is obtained, thereby obtaining the risk level of the invisible disease. Among them, the severity can be divided into high, medium and low, and similarly, the risk level is also divided into high, medium and low.

[0072] Furthermore, the examination items and departments corresponding to the invisible disease can be obtained from the hospital database. If the risk level is high, the priority of the department corresponding to the invisible disease is determined to be the highest priority, and an examination item plan that only includes the department corresponding to the invisible disease is generated to obtain the examination item plan corresponding to the patient. If the risk level is medium, it is determined whether there are emergency examination items in the items to be examined corresponding to the patient. If there are emergency examination items in the items to be examined corresponding to the patient, the priority of the emergency examination items is determined to be the highest priority, and the priority of the department corresponding to the invisible disease is determined to be the second highest priority, and the priority of the examination items in the items to be examined except the emergency examination items is determined to be the lowest priority; if there are no emergency examination items in the items to be examined corresponding to the patient, the priority of the department corresponding to the invisible disease is determined to be high priority, and the priority of the examination items in the items to be examined except the emergency examination items is determined to be low priority, so as to obtain an examination item plan including the department and the items to be examined corresponding to the invisible disease. If the risk level is low, the inspection items corresponding to the invisible diseases and the waiting times for the inspections to be inspected are obtained, and based on the waiting times for the inspection items corresponding to the invisible diseases and the waiting times for the inspections to be inspected, the priorities of the inspection items corresponding to the invisible diseases and the items to be inspected are determined according to the rule of the longest inspection waiting time and the lowest priority, thereby generating an inspection project plan including the inspection items corresponding to the invisible diseases and the items to be inspected.

[0073] Furthermore, the start and end times of the department corresponding to the invisible disease are obtained, and based on the closing time of the department corresponding to the invisible disease, the order of the examination items is adjusted so that the patient can arrive at the department before the closing time of the department corresponding to the invisible disease.

[0074] A possible implementation of the embodiment of the present application, in the above embodiment, determining the risk level of the invisible disease includes: Determine the degree of abnormality corresponding to the abnormal parameter, and determine whether the degree of abnormality exceeds a preset degree threshold; If the abnormality exceeds the preset threshold, the risk level of the invisible disease is determined to be high risk; If the degree of abnormality does not exceed the preset threshold, the historical symptom information of the patient is obtained, and the disease characteristics corresponding to the invisible disease are obtained to determine whether the disease characteristics exist in the historical symptom information. If the disease characteristics exist in the historical symptom information, the risk level of the invisible disease is determined to be high risk; if the disease characteristics do not exist in the historical symptom information, the risk level of the invisible disease is determined to be low risk.

[0075] Among them, the hospital database also stores the historical symptom information and historical disease information corresponding to each patient. The historical symptom information includes the main symptom information corresponding to each historical visit, and the historical disease information includes the disease information confirmed during each historical examination.

[0076] Specifically, the first difference between the maximum value and the minimum value of the normal range can be calculated, and the second difference between the parameter data greater than the maximum value of the normal range or less than the minimum value of the normal range can be calculated, that is, when the parameter data is greater than the maximum value of the normal range, the second difference is the difference between the parameter data and the maximum value of the normal range; when the parameter data is less than the minimum value of the normal range, the second difference is the difference between the minimum value of the normal range and the parameter data, and the multiple of the second difference and the first difference is calculated, and the multiple is determined as the abnormal degree corresponding to the abnormal parameter. Further, the preset degree threshold corresponding to the abnormal parameter is obtained from the hospital database, and whether the abnormal degree corresponding to the abnormal parameter exceeds the corresponding preset degree threshold. Among them, the preset degree threshold represents that when the abnormal degree reaches or exceeds a certain level, it means that the disease risk is high. A preset degree threshold can be set for each abnormal parameter according to medical standards, hospital regulations or historical data, and this embodiment of the application is not limited to this.

[0077] Furthermore, if the abnormal degree of the abnormal parameter exceeds its corresponding preset degree threshold, it is determined that the invisible disease associated with the abnormal parameter has a higher risk level, ie, high risk.

[0078] If the abnormal degree of the abnormal parameter does not exceed the corresponding preset degree threshold, the historical symptom information and historical disease information corresponding to the patient are obtained from the hospital database, and the disease characteristics corresponding to the invisible disease are obtained. The historical symptom information is compared with the disease characteristics corresponding to the invisible disease, and the historical disease information is compared with the invisible disease to determine whether there are disease characteristics in the historical symptom information corresponding to the patient, and whether there are invisible diseases in the historical disease information corresponding to the patient. Among them, the disease characteristics are the typical symptom characteristics and physical sign characteristics corresponding to the disease.

[0079] If there are disease characteristics in the historical symptom information corresponding to the patient, or / and there are hidden diseases in the historical disease information corresponding to the patient, then the hidden disease is determined to have a high risk level. If there are no disease characteristics in the historical symptom information corresponding to the patient, and there is no hidden disease in the historical disease information corresponding to the patient, then the risk level of the hidden disease is determined to be low risk.

[0080] The above-mentioned embodiment introduces a hospital intelligent medical guidance method from the perspective of method flow, and the following embodiment introduces a hospital intelligent medical guidance device from the perspective of a virtual module or a virtual unit. Please refer to the following embodiment for details.

[0081] See also Figure 3 The hospital smart medical guidance device 30 may specifically include: an acquisition module 301, a first determination module 302, a second determination module 303 and a generation module 304. Specifically: A hospital intelligent medical guidance device 30, comprising: The acquisition module 301 is used to receive the patient's to-be-examined items, current location, and main symptom information, and obtain the examination location corresponding to the to-be-examined items. The patient belongs to a special patient group. The main symptom information is the clinical manifestation information of the disease or symptom. The patient corresponds to a mobile electronic device. A first determination module 302 is used to determine the priority corresponding to each item to be inspected based on the current location, the inspection location and the main symptom information; The second determination module 303 is used to determine the examination project plan corresponding to the patient based on the priority corresponding to each item to be examined; The generation module 304 is used to generate a guidance route corresponding to the examination project plan and provide guidance to the patient based on the guidance route.

[0082] In a possible implementation of the embodiment of the present application, when the second determination module 303 determines the priority corresponding to each item to be inspected based on the current location, the inspection location, and the main symptom information, it can be specifically used to: Based on the main symptom information, determine whether there are urgent inspection items among the items to be inspected; If there are urgent inspection items among the items to be inspected, the priority corresponding to the urgent inspection items shall be determined as the first priority, and the items to be inspected except the urgent inspection items shall be determined as the remaining inspection items; Predict the inspection waiting time and result waiting time of each other inspection item, and obtain the corresponding inspection stop time of each other inspection item; Determine the priority of each of the remaining inspection items based on the inspection waiting time, result waiting time, and inspection stop time of each of the remaining inspection items; The priority level corresponding to each to-be-inspected item is determined based on the first priority level corresponding to the urgent inspection item and the priority levels corresponding to each of the remaining inspection items.

[0083] In a possible implementation of the embodiment of the present application, when the generation module 304 generates a guidance route corresponding to the examination project plan and guides the patient based on the guidance route, it can be specifically used to: Based on the inspection project plan, determine the next inspection project corresponding to the patient, and obtain the inspection location corresponding to the next inspection project; Generate a guidance route in real time based on the patient's current location and the location of the next item to be examined; Get the current image information corresponding to the current location and get the real-life image information of the hospital; Based on the current image information and real-scene information, a 3D model corresponding to the current position is constructed in real time; Based on the guidance route, virtual navigation elements are displayed on the 3D model to provide guidance for patients.

[0084] In a possible implementation of the embodiment of the present application, when the generation module 304 generates a guidance route in real time based on the current location of the patient and the inspection location corresponding to the next item to be inspected, it can be specifically used to: Obtain the infection locations corresponding to the hospital, including departments and wards where infection sources may exist; Based on the infection location, the patient's current location and the inspection location corresponding to the next item to be inspected, a guidance route corresponding to the patient is generated in real time.

[0085] In a possible implementation of the embodiment of the present application, the hospital smart diagnosis guidance device 30 may further include: A detection module is used to detect whether the status of each examination item of the patient is completed, and whether the examination item is a completed examination item or an item to be examined by the patient; A prediction module, for if there is an inspection item with a status of done, taking the inspection item with a status of done as a target inspection item, and predicting the time to receive the result of the target inspection item; The sending module is used to send a receiving instruction to the inspection equipment of the target inspection item at the time of receiving the result, so as to obtain the inspection result of the target inspection item; The third determination module is used to re-determine the examination item plan corresponding to the patient based on the examination results of the target examination items and the main symptom information.

[0086] In a possible implementation manner of the embodiment of the present application, when the third determination module re-determines the examination item plan corresponding to the patient based on the examination results of the target examination item and the main symptom information, it can be specifically used to: Identify the parameter data of each parameter in the inspection result, and determine whether there are abnormal parameters in the parameters corresponding to the inspection result, where the abnormal parameters are parameters whose parameter data does not fall within the corresponding normal range; If there are abnormal parameters in the parameters corresponding to the test results, the invisible disease corresponding to the patient is predicted based on the main symptom information and the abnormal parameters, and the risk level of the invisible disease is determined; Obtain the examination items and departments corresponding to invisible diseases; Based on the risk level of invisible diseases, determine the inspection items and departments corresponding to invisible diseases, as well as the priorities of pending items; Based on the examination items corresponding to invisible diseases, the respective priorities of departments and the priorities of pending items, the examination item plan corresponding to the patient is regenerated.

[0087] In a possible implementation of the embodiment of the present application, when determining the risk level of an invisible disease, the third determination module may be specifically used to: Determine the degree of abnormality corresponding to the abnormal parameter, and determine whether the degree of abnormality exceeds a preset degree threshold; If the abnormality exceeds the preset threshold, the risk level of the invisible disease is determined to be high risk; If the degree of abnormality does not exceed the preset threshold, the historical symptom information of the patient is obtained, and the disease characteristics corresponding to the invisible disease are obtained to determine whether the disease characteristics exist in the historical symptom information. If the disease characteristics exist in the historical symptom information, the risk level of the invisible disease is determined to be high risk; if the disease characteristics do not exist in the historical symptom information, the risk level of the invisible disease is determined to be low risk.

[0088] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0089] See also Figure 4 , the embodiment of the present application also introduces a mobile electronic device from the perspective of a physical device, such as Figure 4 As shown, Figure 4The mobile electronic device 40 shown includes: at least two image acquisition units and at least one image display unit, a processor 401 and a memory 403. Among them, the image acquisition unit can be a camera, the image display unit can be an LED screen, and the processor 401 and the memory 403 are connected, such as through a bus 402. Optionally, the mobile electronic device 40 may also include a transceiver 404. It should be noted that in actual applications, the transceiver 404 is not limited to one, and the structure of the mobile electronic device 40 does not constitute a limitation on the embodiments of the present application.

[0090] Processor 401 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 401 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0091] The bus 402 may include a path to transmit information between the above components. The bus 402 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 402 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0092] The memory 403 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0093] The memory 403 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 401. The processor 401 is used to execute the application code stored in the memory 403 to implement the contents shown in the above method embodiment.

[0094] The portable electronic devices include but are not limited to mobile phones, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players) and other mobile terminals. Figure 4 The mobile electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0095] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0096] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0097] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A hospital intelligent diagnosis guidance method, characterized in that: The hospital smart medical guidance is performed by a mobile electronic device, and the method includes: Receive the items to be examined and main symptom information of the patient, and obtain the current location and the examination location corresponding to the items to be examined, the patient belongs to a special patient group, the main symptom information is the clinical manifestation information of the disease or symptom, and the patient corresponds to a mobile electronic device; Determine the priority of each item to be inspected based on the current location, the inspection location, and the main symptom information; Determine the examination item plan corresponding to the patient based on the priority corresponding to each of the items to be examined; Generate a guidance route corresponding to the examination project plan, and guide the patient based on the guidance route.

2. The hospital intelligent diagnosis guidance method according to claim 1, characterized in that: The determining the priority of each item to be inspected based on the current location, the inspection location, and the main symptom information includes: Based on the main symptom information, determine whether there is an urgent inspection item among the items to be inspected; If there is an urgent inspection item among the items to be inspected, the priority corresponding to the urgent inspection item is determined as the first priority, and the items to be inspected except the urgent inspection item are determined as the remaining inspection items; Predicting the inspection waiting time and result waiting time of each of the remaining inspection items, and obtaining the inspection stop time corresponding to each of the remaining inspection items; Determine the priority corresponding to each of the remaining inspection items based on the inspection waiting time, result waiting time and the inspection stop time of each of the remaining inspection items; The priority level corresponding to each to-be-inspected item is determined based on the first priority level corresponding to the emergency inspection item and the priority level corresponding to each of the remaining inspection items.

3. The hospital intelligent diagnosis guidance method according to claim 2, characterized in that: The generating of the guidance route corresponding to the examination project plan and guiding the patient based on the guidance route includes: Based on the inspection project plan, determine the next inspection project corresponding to the patient, and obtain the inspection position corresponding to the next inspection project; Based on the current location of the patient and the inspection location corresponding to the next item to be inspected, a guidance route is generated in real time; Obtaining current image information corresponding to the current location and obtaining real-view image information of the hospital; Based on the current image information and the real scene information, construct a three-dimensional model corresponding to the current position in real time; Based on the guidance route, virtual navigation elements are displayed on the three-dimensional model to provide guidance to the patient.

4. The hospital intelligent diagnosis guidance method according to claim 3, characterized in that: The generating of a guidance route in real time based on the current location of the patient and the inspection location corresponding to the next item to be inspected includes: Obtaining the infection location corresponding to the hospital, wherein the infection location includes departments and wards where the infection source may exist; Based on the infection location, the current location of the patient and the inspection location corresponding to the next item to be inspected, a guidance route corresponding to the patient is generated in real time.

5. The hospital intelligent diagnosis guidance method according to any one of claims 1 to 4, characterized in that: After generating the guidance route corresponding to the inspection project plan, the method further includes: Detecting whether the status of each examination item of the patient is completed, wherein the examination items are the examination items completed or the items to be examined of the patient; If there is an inspection item whose status is completed, the inspection item whose status is completed is taken as the target inspection item, and the time to receive the result of the target inspection item is predicted; At the time of receiving the result, sending a receiving instruction to the inspection device of the target inspection item to obtain the inspection result of the target inspection item; Based on the examination results of the target examination items and the main symptom information, the examination item plan corresponding to the patient is re-determined.

6. The hospital intelligent diagnosis guidance method according to claim 5, characterized in that: The re-determining the examination item plan corresponding to the patient based on the examination result of the target examination item and the main symptom information includes: Identify parameter data of each parameter in the inspection result, and determine whether there is an abnormal parameter in the parameter corresponding to the inspection result, wherein the abnormal parameter is a parameter whose parameter data does not fall within the corresponding normal range; If there are abnormal parameters in the parameters corresponding to the examination results, predict the invisible disease corresponding to the patient based on the main symptom information and the abnormal parameters, and determine the risk level of the invisible disease; Obtain the examination items and departments corresponding to the invisible disease; Based on the risk level of the invisible disease, determine the priorities of the inspection items and departments corresponding to the invisible disease and the priorities of the items to be done; Based on the examination items corresponding to the invisible disease and the respective priorities of the departments and the priorities of the items to be done, the examination item plan corresponding to the patient is regenerated.

7. The hospital intelligent diagnosis guidance method according to claim 6, characterized in that: Determining the risk level of the invisible disease includes: Determining the abnormality degree corresponding to the abnormal parameter, and determining whether the abnormality degree exceeds a preset degree threshold; If the abnormality exceeds the preset threshold, the risk level of the invisible disease is determined to be high risk; If the degree of abnormality does not exceed the preset degree threshold, the historical symptom information of the patient is obtained, and the disease characteristics corresponding to the invisible disease are obtained to determine whether the disease characteristics exist in the historical symptom information. If the disease characteristics exist in the historical symptom information, the risk level of the invisible disease is determined to be high risk; if the disease characteristics do not exist in the historical symptom information, the risk level of the invisible disease is determined to be low risk.

8. A hospital intelligent medical guidance device, characterized in that: include: an acquisition module, for receiving the items to be examined and the main symptom information of the patient, and acquiring the current position and the examination position corresponding to the items to be examined, wherein the patient belongs to a special patient group, the main symptom information is the clinical manifestation information of the disease or symptom, and the patient corresponds to a mobile electronic device; A first determination module, configured to determine a priority corresponding to each item to be inspected based on the current location, the inspection location, and the main symptom information; A second determination module is used to determine the examination project plan corresponding to the patient based on the priority corresponding to each of the items to be examined; A generation module is used to generate a guidance route corresponding to the examination project plan and to guide the patient based on the guidance route.

9. A portable electronic device, characterized in that: The portable electronic device comprises: at least two image acquisition units and at least one image display unit; at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the hospital intelligent guidance method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the hospital intelligent diagnosis guidance method according to any one of claims 1 to 7.

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