Hospital patient intelligent service method and system based on multi-mode position awareness

Abstract

The invention relates to the technical field of medical informatization, and discloses a hospital patient intelligent service method and system based on multi-modal position awareness, and the method comprises the steps: determining the current position information of a target patient according to the multi-modal application information based on a hospital scene and the patient equipment configuration information of the target patient; according to the current position information, judging whether the target patient meets an automatic queuing inclusion condition or not; and if yes, executing a corresponding queuing system automatic inclusion operation on the target patient. Therefore, the function of automatically bringing the hospital patients into the on-site queuing system can be achieved, the accuracy, reliability, efficiency and convenience of automatically bringing the hospital patients into the queue are improved, the waiting time of the hospital patients is shortened in time, and therefore the medical service efficiency and the patient experience are improved; the system construction, operation and maintenance cost is reduced, the accuracy and reliability of position sensing are improved, and the accuracy and reliability of the determined current position of the hospital patient are improved.

Description

Technical Field

[0001] The present invention relates to the field of medical information technology, and in particular to a hospital patient intelligent service method and system based on multimodal location perception. Background Art

[0002] With the continuous advancement of medical technology and the increasing diversity of patient needs, hospitals are facing unprecedented challenges. In order to ensure the orderly operation of hospitals and improve patients' medical experience, the queuing system has become an indispensable part of hospital management. However, in actual applications, the queuing method in existing hospital service management often relies on patients to go to the manual counter to inform the staff of their patient information. After the staff manually enters the patient information to complete the patient check-in, the patient queues for treatment. Alternatively, the patient enters the patient information in the hospital check-in device to check in. After the patient correctly completes the check-in operation, the patient queues for treatment. Manual input of patient information is prone to input errors, resulting in failure to check in, queueing, and waiting, long queuing time, and low efficiency and accuracy of queuing. Therefore, it is particularly important to provide an intelligent service method that can improve the accuracy and efficiency of queuing in hospital scenarios. Summary of the invention

[0003] The present invention provides an intelligent service method and system for hospital patients based on multimodal location perception, which can realize the function of automatically incorporating hospital patients into an on-site queuing system, improve the accuracy and efficiency of automatic queuing, reduce the waiting time of hospital patients, and thus improve medical service efficiency and patient experience.

[0004] In order to solve the above technical problems, the first aspect of the present invention discloses a hospital patient intelligent service method based on multimodal location perception, which is applied to a hospital patient intelligent service system, and comprises: Determine the current location information of the target patient according to the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient; According to the current location information, determining whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario; When it is determined that the target patient meets the automatic queuing inclusion condition, the corresponding queuing system automatic inclusion operation is performed on the target patient.

[0005] The second aspect of the present invention discloses a hospital patient intelligent service system based on multimodal location perception, the system comprising: A location information determination module, used to determine the current location information of the target patient according to the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient; A judgment module, used to judge whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario according to the current location information; The automatic queuing execution module is used to execute the corresponding automatic inclusion operation of the queuing system for the target patient when the judgment module determines that the target patient meets the automatic queuing inclusion condition.

[0006] As an optional implementation, in the second aspect of the present invention, the multimodal application information includes one or more of first application information collected based on a local area network level, second application information collected based on a wireless communication level, and third application information collected based on a software application level; And, the location information determination module determines the current location information of the target patient according to the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient, specifically including: When a patient mobile device of a target patient is connected to a target LAN signal device corresponding to a hospital scene, the connection signal strength information between the target LAN signal device and the patient mobile device is determined according to the first application information and the patient device configuration information of the target patient, and the device placement orientation information of the target LAN signal device is determined; the first position result of the target patient is determined according to the connection signal strength information and the device placement orientation information; When there is a location collection authorization relationship between the patient mobile device of the target patient and the appointment registration software corresponding to the hospital scenario, determining the authorized location collection information corresponding to the patient mobile device according to the second application information and the patient device configuration information of the target patient; determining the second location result of the target patient according to the authorized location collection information; When a navigation application relationship exists between the patient mobile device of the target patient and the wireless communication guidance system corresponding to the hospital scene, at least three wireless communication beacons in the hospital scene that are in the closest distance relationship with the patient mobile device are determined according to the third application information and the patient device configuration information of the target patient, and the wireless communication signal strength information corresponding to each of the wireless communication beacons and the patient mobile device is determined; the third position result of the target patient is determined according to the set beacon position information of each of the determined wireless communication beacons and the wireless communication signal strength information; The current position information of the target patient is determined according to the first position result and / or the second position result and / or the third position result.

[0007] As an optional implementation, in the second aspect of the present invention, the judgment module judges whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario according to the current location information, specifically including: Determining the target patient based on a specific diagnosis and treatment area in the hospital scenario; According to the current location information and the specific diagnosis and treatment area, determining whether the target patient meets the preset direct waiting condition for treatment; When it is determined that the target patient meets the direct waiting condition for medical treatment, determining that the target patient meets the preset automatic queuing inclusion condition for the hospital scenario; When it is determined that the target patient does not meet the direct waiting condition for medical consultation, judging whether the target patient meets the preset indirect waiting condition for medical consultation according to the current location information and the determined medical consultation item information of the target patient; When it is determined that the target patient meets the indirect waiting condition for medical treatment, determining that the target patient meets the preset automatic queuing inclusion condition for the hospital scenario; When it is determined that the target patient does not meet the indirect waiting condition for medical treatment, it is determined that the target patient does not meet the preset automatic queuing inclusion condition for the hospital scenario.

[0008] As an optional implementation, in the second aspect of the present invention, the judgment module determines whether the target patient meets the preset direct waiting condition for treatment according to the current location information and the specific diagnosis and treatment area, specifically including: According to the current location information and the specific diagnosis and treatment area, determining whether the target patient meets the preset waiting location conditions; When it is determined that the target patient does not meet the waiting position condition, determining that the target patient does not meet the preset direct waiting condition for consultation; When it is determined that the target patient meets the waiting position condition, determining that the target patient meets the preset direct waiting condition for medical treatment; Furthermore, the judgment module is further used to determine, when it is determined that the target patient satisfies the waiting location conditions, the first requirement satisfaction status of the target patient for performing the waiting registration operation and / or the second requirement satisfaction information for performing the consultation and treatment operation; based on the first requirement satisfaction status and / or the second requirement satisfaction status, determine whether the target patient meets the preset objective waiting requirement conditions; when it is determined that the target patient meets the objective waiting requirement conditions, determine that the target patient meets the preset direct waiting condition for treatment; when it is determined that the target patient does not meet the objective waiting requirement conditions, determine that the target patient does not meet the preset direct waiting condition for treatment.

[0009] As an optional implementation, in the second aspect of the present invention, the judgment module judges whether the target patient meets the preset indirect waiting condition for medical treatment according to the current location information and the determined medical treatment item information of the target patient, specifically including: Determine the current stay area of ​​the target patient and its corresponding regional functional properties according to the current location information, and determine the conventional supporting treatment plan corresponding to the target patient according to the determined treatment item information of the target patient; According to the functional properties of the region and the conventional supporting treatment plan, judging whether the target patient meets the preset basic treatment implementation conditions of the disease condition; When it is determined that the target patient meets the basic condition treatment implementation conditions, determining that the target patient meets the preset indirect waiting for medical treatment conditions; When it is determined that the target patient does not meet the basic condition treatment implementation conditions, it is determined that the target patient does not meet the preset indirect waiting for medical treatment conditions.

[0010] As an optional implementation, in the second aspect of the present invention, the judgment module determines whether the target patient meets the preset basic treatment implementation conditions for the condition according to the regional functional properties and the conventional supporting treatment plan, specifically including: According to the functional properties of the area, determining whether the current stay area meets the preset conditions for implementing conventional rescue services; When it is determined that the current stay area does not meet the conventional treatment service implementation conditions, determining that the target patient does not meet the preset basic condition treatment implementation conditions; When it is determined that the current stay area meets the conditions for implementing the conventional rescue service, the possibility of the target patient currently being in the corresponding experience of the conventional joint rescue / event handling link is determined according to the functional properties of the area and the conventional supporting treatment plan; According to the experience possibility, determining whether the target patient is in a preset state of receiving treatment / event handling; When it is determined that the target patient is in the state of receiving treatment / event processing, determining that the target patient meets the preset basic condition processing implementation conditions; When it is determined that the target patient is not in the state of receiving treatment / event processing, it is determined that the target patient does not meet the preset basic condition processing implementation conditions.

[0011] As an optional implementation, in the second aspect of the present invention, the system further includes: A waiting location determination module is used to determine the target patient's mobility and special waiting requirement information based on the determined treatment item information and condition description content of the target patient after the automatic queuing execution module executes the corresponding queuing system automatic inclusion operation on the target patient, and determine the specific waiting location nature corresponding to the target patient based on the mobility and special waiting requirement information; determine the target patient's predicted call waiting information based on the determined real-time queuing situation of the target patient, the predicted call waiting information including the predicted call waiting time and / or the number of people waiting to be called ahead; determine the target waiting subspace of the target patient in a specific diagnosis and treatment area based on the specific waiting location nature, and determine the target patient's exclusive waiting position in the target waiting subspace based on the current position information, the predicted call waiting information, the mobility and the determined current personnel and item distribution information in the target waiting subspace; The waiting location prompting module is used to generate waiting location prompting information of the target patient according to the target waiting subspace and the exclusive waiting station, and the waiting location prompting information is used to prompt and navigate the target patient to arrive at a relevant location for waiting.

[0012] The third aspect of the present invention discloses another intelligent service system for hospital patients based on multimodal location perception, the system comprising: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the hospital patient intelligent service method based on multimodal location perception disclosed in the first aspect of the present invention.

[0013] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the hospital patient intelligent service method based on multimodal location perception disclosed in the first aspect of the present invention.

[0014] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: In an embodiment of the present invention, it is applied to an intelligent service system for hospital patients; the current location information of the target patient is determined based on the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient; based on the current location information, it is judged whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario; when it is judged that the target patient meets the automatic queuing inclusion conditions, the corresponding queuing system automatic inclusion operation is performed on the target patient. It can be seen that the present invention can determine the current location information of the target patient according to the multimodal application information and the patient device configuration information. When it is judged according to the current location information that the target patient meets the automatic queuing inclusion conditions of the hospital scenario, the corresponding queuing system automatic inclusion operation is performed on the target patient, which is conducive to improving the comprehensiveness and rationality of the intelligent service mode for hospital patients based on multimodal location perception, and can realize the function of automatically including hospital patients in the on-site queuing system, which is conducive to improving the accuracy and reliability of the automatic inclusion of hospital patients in the queue, as well as the efficiency, convenience and timeliness of the automatic inclusion of hospital patients in the queue, thereby helping to reduce the waiting time of hospital patients, thereby helping to improve the efficiency of medical services and patient experience. In addition, the current location information of the target patient is determined through multimodal application information, which reduces the cost of system construction and operation and maintenance, improves the accuracy and reliability of location perception, and thus helps to improve the accuracy and reliability of the determined current location of the hospital patient. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 It is a flowchart of a hospital patient intelligent service method based on multimodal location perception disclosed in an embodiment of the present invention; Figure 2 It is a flowchart of another intelligent service method for hospital patients based on multimodal location perception disclosed in an embodiment of the present invention; Figure 3 It is a structural schematic diagram of a hospital patient intelligent service system based on multimodal location perception disclosed in an embodiment of the present invention; Figure 4 It is a structural schematic diagram of another hospital patient intelligent service system based on multimodal location perception disclosed in an embodiment of the present invention; Figure 5 It is a structural diagram of another intelligent service system for hospital patients based on multimodal location perception disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0019] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0020] The present invention discloses a hospital patient intelligent service method and system based on multimodal location perception, which can determine the current location information of the target patient according to the multimodal application information and the patient equipment configuration information, and when it is determined according to the current location information that the target patient meets the automatic queuing inclusion conditions of the hospital scene, the corresponding queuing system automatic inclusion operation is performed on the target patient, which is conducive to improving the comprehensiveness and rationality of the hospital patient intelligent service method based on multimodal location perception, and can realize the function of automatically including the hospital patient in the on-site queuing system, which is conducive to improving the accuracy and reliability of the automatic inclusion of the hospital patient in the queue, and is conducive to improving the efficiency, convenience and timeliness of the automatic inclusion of the hospital patient in the queue, thereby helping to reduce the waiting time of the hospital patient, thereby helping to improve the medical service efficiency and patient experience, in addition, the current location information of the target patient is determined through the multimodal application information, the system construction and operation and maintenance costs are reduced, the accuracy and reliability of location perception are improved, and thus it is conducive to improving the accuracy and reliability of the current location of the determined hospital patient. The following are detailed descriptions.

[0021] Embodiment 1 See also Figure 1 , Figure 1 This is a flowchart of a hospital patient intelligent service method and system based on multimodal location perception disclosed in an embodiment of the present invention. Figure 1 The described method can be applied to a hospital patient intelligent service system, wherein the device may include a server, wherein the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 1 As shown, the hospital patient intelligent service method based on multimodal location perception includes the following operations: 101. Determine the current location information of the target patient based on the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient.

[0022] Optionally, the patient device configuration information of the target patient may include, but is not limited to, one or more of the target patient's mobile device MAC address, mobile device number, patient identification information, mobile device WiFi activity status, mobile device WiFi signal strength information, mobile device propagation path loss information, mobile device related identification information, APP related application information in the mobile device, mobile device Bluetooth related application information, mobile device WiFi related application information, etc., and is not limited in the embodiments of the present invention.

[0023] 102. Based on the current location information, determine whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario.

[0024] Further optionally, the method may also include the following operations: When it is determined that the target patient does not meet the preset automatic queuing inclusion conditions for the hospital scenario, the current state of the target patient is determined according to the current location information and the determined movement trajectory information of the target patient, and the current state includes purposeful movement nature or non-purposeful movement nature; According to the nature of the current state and the next target medical consultation link of the target patient determined, a first prompt instruction for the target patient is generated, and the above steps 101-102 are executed again; wherein the first prompt instruction is used to prompt and navigate the target patient to the next location.

[0025] 103. When it is determined that the target patient meets the automatic queuing inclusion conditions, the corresponding queuing system automatic inclusion operation is performed on the target patient.

[0026] Further optionally, the above-mentioned automatic inclusion operation of the target patient into the corresponding queuing system may include: Based on the patient identification information and / or current location information of the target patient, a corresponding automatic inclusion operation in the queuing system is performed.

[0027] Optionally, the above-mentioned execution of the corresponding queuing system is automatically incorporated into the operation. For example, the target patient is automatically checked in and queued, without the need for the target patient to arrive at the front desk or work machine to manually check in and then queue like the existing queuing system. The embodiment of the present invention is not limited to this.

[0028] Optionally, the queuing system automatically incorporates the queuing system corresponding to the operation. Specifically: (1) The system needs to be integrated with the hospital's existing queuing system to ensure that when a patient arrives, it can be automatically included in the queue and the queue status is updated in real time; (2) The automatic queuing system docking module mainly includes a location information monitoring unit, a queuing logic processing unit, and a data interaction unit. The location information monitoring unit is responsible for monitoring the location information output by the location information fusion module; the queuing logic processing unit triggers the queuing logic according to the location information; the data interaction unit is responsible for data interaction with the hospital queuing system; (3) The location information monitoring unit is implemented by designing an event monitoring mechanism to monitor the location information output by the location information fusion module in real time. When the patient's location information at the designated area is monitored, the subsequent processing flow is triggered; (4) Queuing logic processing unit implementation: According to the business rules of the hospital queuing system, the queuing logic processing flow is designed; When the patient's location information at the designated area is monitored, the queuing system API interface is automatically called to add the patient to the on-site queuing system; the queuing logic processing needs to consider a variety of situations, such as the patient canceling the appointment, changing the treatment department, etc.; (5) Data interaction unit implementation: Establish a data interaction channel with the hospital queuing system to realize real-time data transmission and processing; Data interaction needs to consider factors such as data format, transmission protocol, security, etc. to ensure accurate data transmission and processing, which is not limited in the embodiments of the present invention.

[0029] Optionally, this solution is aimed at the content of the user interface design part. Specifically, the system provides a friendly user interface to facilitate patients to view the current queue status, estimated waiting time and other information, thereby improving the patient's medical experience, which is not limited to the embodiments of the present invention.

[0030] Optionally, this solution is aimed at the content of performance optimization and scalability. Specifically, the system should have a good performance optimization mechanism to ensure stable operation in high-concurrency scenarios. At the same time, the system should be scalable so that more types of sensors and data sources can be connected in the future, which is not limited in the embodiments of the present invention.

[0031] Optionally, the system of this solution targets data security and privacy protection, specifically: (1) Data encryption and transmission security: The system adopts advanced encryption algorithms and data transmission protocols to ensure the security of patient location information during transmission; (2) Data access control: The system strictly controls user access to data to ensure that only authorized personnel can access sensitive data; (3) Data auditing and logging: The system audits and logs data access and operations so that the source of the problem can be quickly located in the event of a data leak or security incident, which is not limited in the embodiments of the present invention.

[0032] It can be seen that the intelligent service method for hospital patients based on multimodal location perception described in the embodiment of the present invention can determine the current location information of the target patient according to the multimodal application information and the patient equipment configuration information. When it is judged that the target patient meets the automatic queuing inclusion conditions of the hospital scenario according to the current location information, the corresponding queuing system automatic inclusion operation is performed on the target patient, which is conducive to improving the comprehensiveness and rationality of the intelligent service method for hospital patients based on multimodal location perception, and can realize the function of automatically including hospital patients in the on-site queuing system, which is conducive to improving the accuracy and reliability of the automatic inclusion of hospital patients in the queue, as well as the efficiency, convenience and timeliness of the automatic inclusion of hospital patients in the queue, thereby reducing the waiting time of hospital patients, thereby improving the efficiency of medical services and patient experience. In addition, the current location information of the target patient is determined through multimodal application information, which reduces the system construction and operation and maintenance costs, improves the accuracy and reliability of location perception, and thus helps to improve the accuracy and reliability of the determined current location of the hospital patient.

[0033] In an optional embodiment, the multimodal application information may include one or more of first application information collected based on the local area network level, second application information collected based on the wireless communication level, and third application information collected based on the software application level, which is not limited by the embodiment of the present invention.

[0034] Further optionally, the above-mentioned determining the current location information of the target patient according to the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient may include: When a patient mobile device of the target patient is connected to a target LAN signal device corresponding to the hospital scene, the connection signal strength information between the target LAN signal device and the patient mobile device is determined according to the first application information and the patient device configuration information of the target patient, and the device placement orientation information of the target LAN signal device is determined; the first position result of the target patient is determined according to the connection signal strength information and the device placement orientation information; When there is a location collection authorization relationship between the patient mobile device of the target patient and the appointment registration software corresponding to the hospital scenario, the authorized location collection information corresponding to the patient mobile device is determined according to the second application information and the patient device configuration information of the target patient; the second location result of the target patient is determined according to the authorized location collection information; When a navigation application relationship exists between the patient mobile device of the target patient and the wireless communication guidance system corresponding to the hospital scene, at least three wireless communication beacons in the hospital scene that are in the closest distance relationship with the patient mobile device are determined according to the third application information and the patient device configuration information of the target patient, and the wireless communication signal strength information corresponding to each wireless communication beacon and the patient mobile device is determined; the third position result of the target patient is determined according to the set beacon position information and the wireless communication signal strength information of each determined wireless communication beacon; The current position information of the target patient is determined according to the first position result and / or the second position result and / or the third position result.

[0035] Optionally, the first location result, the second location result and the third location result may all include, but are not limited to, whether the location information is collected, whether the location information is within a specific diagnosis and treatment area, the specific location collected, etc., which is not limited in the embodiment of the present invention.

[0036] Optionally, the first application information collected at the local area network level is illustrated by way of example: the MAC address location awareness information at the WIFI level is not limited in the embodiment of the present invention.

[0037] Optionally, the second application information collected based on the wireless communication layer is illustrated as an example: information at the Bluetooth beacon navigation and location awareness layer is not limited in the embodiment of the present invention.

[0038] Optionally, the third application information collected at the software application level is illustrated by way of example: information at the patient's self-service APP level is not limited in the embodiments of the present invention.

[0039] Optionally, the patient mobile device of the target patient is connected to the target LAN signal device corresponding to the hospital scene. For example, the target patient connects to the public WiFi in the hospital lobby to access the Internet, which is not limited in this embodiment of the present invention.

[0040] Optionally, the method for determining the first location result of the target patient mentioned above is illustrated by an example: when the target patient connects to the public WIFI in the hospital lobby to access the Internet, the system records his WIFI MAC address and associates it with the patient ID; the system deploys multiple WIFI APs in each diagnosis and treatment area of ​​the hospital to form a WIFI network covering the entire hospital; when the target patient enters the diagnosis and treatment area, the system detects the activity of the target patient's WIFI MAC address through WIFI sniffing technology; the system achieves accurate estimation of the target patient's location based on parameters such as WIFI signal strength and propagation path loss, combined with a multi-AP collaborative positioning algorithm, to obtain the first location result of the target patient; further, when the system determines that the target patient has entered a specific diagnosis and treatment area, it automatically includes the target patient in the queuing system of that area, which is not limited to the embodiments of the present invention.

[0041] Further optionally, the above-mentioned determination of the first position result of the target patient according to the connection signal strength information and the device placement orientation information may include: According to the connection signal strength information, a circular range area formed by taking the shortest straight-line distance between the target patient and the target LAN signal device as the radius is determined; According to the device placement information, the specific coordinate position point of the target patient in the circular range area is determined as the first position result of the target patient.

[0042] Optionally, the target LAN signal device, for example: multiple WiFi devices (i.e., LAN signal devices) may be set up in the hospital scenario, and the WiFi connected to the target patient's mobile device is used as the target LAN signal device, which is not limited in the embodiment of the present invention.

[0043] Optionally, the activities of WiFi devices in the hospital, such as patient device configuration information, connection signal strength information, etc., are monitored in real time through WIFI sniffing technology; further, the WIFI sniffing module mainly includes a WIFI sniffer, a data processing unit and a data storage unit, the WIFI sniffer is responsible for monitoring data packets in the WIFI network to extract MAC addresses, the data processing unit cleans and converts the extracted MAC addresses to generate location information, and the data storage unit is responsible for storing the location information for subsequent business logic layer calls; further, the WIFI sniffer implements: using open source WIFI sniffing tools, such as Wireshark, Aircrack-ng, etc., to monitor the public WIFI network of the hospital, and by configuring the sniffer, filter out data packets containing MAC addresses, and extract the MAC address of the patient's mobile phone; further, the data processing unit implements: cleaning the extracted MAC address, removing duplicate and invalid data, and at the same time, associating the MAC address with the patient ID to generate a record containing the patient ID and location information; the data storage unit implements: using a relational database to store location information, establishing a reasonable database table structure, and ensuring rapid retrieval and update of data, which is not limited in the embodiments of the present invention.

[0044] Optionally, to improve the accuracy of location perception, the system may adopt a multi-AP (wireless access point) collaborative positioning algorithm, combined with parameters such as WIFI signal strength and propagation path loss, to achieve a more accurate estimation of the patient's location, which is not limited in the embodiments of the present invention.

[0045] Optionally, there is a location collection authorization relationship between the patient mobile device of the target patient and the appointment registration software corresponding to the hospital scenario. For example: the target patient's mobile phone has authorized the location acquisition permission of the appointment registration software corresponding to the hospital scenario, which is not limited in this embodiment of the present invention.

[0046] Optionally, the method for determining the second location result of the target patient mentioned above is illustrated by an example: the target patient installs a self-service APP provided by the hospital on a mobile phone to make appointments, self-service payments and other services; after the APP requests location permission and obtains the target patient's consent, it begins to obtain the target patient's location information in real time to obtain the target patient's second location result; further, the APP uploads the location information to the server, and the server determines the patient's location based on the preset treatment area range. When the system determines that the patient has entered the hospital area or a specific treatment area, the patient is automatically included in the queuing system, which is not limited to the embodiments of the present invention.

[0047] Optionally, to ensure the security and privacy of the patient's location information, an encryption protocol is used for data transmission between the APP and the server, and the server only stores the processed location information and does not retain the original location data, which is not limited in this embodiment of the present invention.

[0048] Optionally, there is a navigation application relationship between the patient mobile device of the target patient and the wireless communication guidance system corresponding to the hospital scene. For example, the target patient's mobile device is navigating based on the hospital's Bluetooth beacon, which is not limited in this embodiment of the present invention.

[0049] Optionally, the method for determining the third position result of the target patient mentioned above is illustrated by an example: the hospital deploys Bluetooth beacons in key locations such as various treatment areas, corridors, and elevator entrances; after the target patient uses the guidance system provided by the hospital to select the treatment area, the system provides a navigation path; the Bluetooth beacon updates the target patient's location information in real time to ensure that the system can accurately sense the patient's location and obtain the third position result of the target patient; further, when the system determines that the target patient has entered a specific treatment area, the target patient is automatically included in the queuing system, which is not limited to the embodiments of the present invention.

[0050] Optionally, Bluetooth beacons are deployed in key locations such as various diagnosis and treatment areas, corridors, and elevator entrances in the hospital to form a Bluetooth network covering the entire hospital; when patients use the guidance system provided by the hospital, the system will provide a navigation path based on the diagnosis and treatment area selected by the patient. At the same time, the Bluetooth beacon will update the patient's location information in real time to ensure that the system can accurately perceive the patient's location; based on the received Bluetooth beacon information and signal strength (RSSI), a three-sided positioning algorithm or a fingerprint positioning algorithm is used to calculate the patient's location. Specifically, for example, the three-sided positioning algorithm calculates the patient's location by measuring the distance between the patient's mobile phone and at least three beacons; for another example, the fingerprint positioning algorithm determines the patient's location by matching the pre-collected location fingerprint library with the real-time received information, which is not limited in the embodiments of the present invention.

[0051] Optionally, for the multimodal data fusion of the first location result, the second location result and the third location result, specifically: (1) the system fuses the location perception data based on WIFI, APP and Bluetooth beacon to improve the accuracy and reliability of location perception; (2) the location information fusion module mainly includes a data receiving unit, a fusion algorithm unit and a data output unit; the data receiving unit is responsible for receiving the location information uploaded by the WIFI sniffing module and the Bluetooth beacon module; the fusion algorithm unit performs fusion processing on the received location information; the data output unit outputs the fused location information to the business logic layer; (3) data receiving unit implementation: design an API interface to receive the location information uploaded by the WIFI sniffing module and the Bluetooth beacon module. The interface design needs to consider factors such as data format, transmission protocol and security; (4) fusion algorithm unit implementation: use Kalman filtering, particle filtering and other algorithms to fuse the received location information; the Kalman filtering algorithm is suitable for linear systems and can effectively suppress noise interference; the particle filtering algorithm is suitable for nonlinear systems and can handle more complex situations. Select an appropriate fusion algorithm based on the actual situation of the hospital to ensure positioning accuracy and reliability; (5) Data output unit implementation: output the fused location information to the business logic layer in a standard format; the output format must be compatible with the business logic layer interface to ensure smooth data transmission and processing, which is not limited in the embodiments of the present invention.

[0052] It can be seen that this optional embodiment can match the corresponding location result determination method for the first application information collected based on the local area network level, the second application information collected based on the wireless communication level, and the third application information collected based on the software application level, thereby determining the current location information of the target patient, which is conducive to improving the diversity, flexibility, pertinence and rationality of the patient location result determination method, and thus is conducive to improving the accuracy and reliability of the determined patient location results, thereby facilitating improving the accuracy and reliability of the current location information determined based on the location results. In addition, by utilizing the hospital's existing WIFI, Bluetooth and other infrastructure to determine the current location information, the system construction and operation and maintenance costs are reduced, and the accuracy and reliability of location perception are improved through multimodal data fusion.

[0053] In another optional embodiment, judging whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario according to the current location information may include: Identify target patients based on specific treatment areas in the hospital setting; Based on the current location information and specific diagnosis and treatment area, determine whether the target patient meets the preset direct waiting conditions for treatment; When it is determined that the target patient meets the direct waiting condition for medical treatment, it is determined that the target patient meets the preset automatic queuing inclusion condition for the hospital scenario; When it is determined that the target patient does not meet the direct waiting condition for medical consultation, it is determined whether the target patient meets the preset indirect waiting condition for medical consultation based on the current location information and the determined medical consultation item information of the target patient; When it is determined that the target patient meets the indirect waiting condition for medical treatment, it is determined that the target patient meets the preset automatic queuing inclusion condition for the hospital scenario; When it is determined that the target patient does not meet the indirect waiting condition for medical treatment, it is determined that the target patient does not meet the preset automatic queuing inclusion condition for the hospital scenario.

[0054] Optionally, the target patient is based on a specific diagnosis and treatment area in the hospital scenario. It can be understood that under normal circumstances, when the target patient arrives at the specific diagnosis and treatment area, the target patient will be automatically included in the queuing system, which is not limited in the embodiment of the present invention.

[0055] Optionally, the above-mentioned conditions for directly waiting for medical treatment are met, for example: the target patient has arrived at a specific treatment area, and further, the current time is within the target patient's check-in queuing time interval (not early or late), and / or the target patient's medical report has been issued, etc., then it is determined that the conditions for directly waiting for medical treatment are met, and the embodiments of the present invention are not limited to this.

[0056] Optionally, the above-mentioned indirect waiting condition for medical treatment is illustrated by an example: although the target patient has not arrived at the specific diagnosis and treatment area, the target patient is only temporarily performing related rationality / necessity projects in other areas and is actually waiting for medical treatment. For example, the target patient just went to the next department to perform emergency bandaging while waiting for his number to be called for medical treatment. For example, the target patient's current medical treatment item requires blood test in advance, but the target patient currently only went to another department to perform blood test, get the report and then come back for medical treatment. In this case, it is determined that the indirect waiting condition for medical treatment is met, and the embodiments of the present invention are not limited to this.

[0057] It can be seen that this optional embodiment can determine the results of automatic queuing inclusion conditions being met through the direct waiting level and the indirect waiting level for medical treatment, which is conducive to improving the comprehensiveness, integrity, rationality and progressiveness of the method for determining the results of automatic queuing inclusion conditions being met, and thus is conducive to improving the accuracy and reliability of the determined results of automatic queuing inclusion conditions being met, thereby helping to improve the execution accuracy, reliability and timeliness of the automatic queuing inclusion operation triggered by the results of automatic queuing inclusion conditions being met.

[0058] In another optional embodiment, judging whether the target patient meets the preset direct waiting condition for medical treatment according to the current location information and the specific medical treatment area may include: Based on the current location information and specific diagnosis and treatment area, determine whether the target patient meets the preset waiting location conditions; When it is determined that the target patient does not meet the waiting position condition, determining that the target patient does not meet the preset direct waiting condition for treatment; When it is determined that the target patient meets the waiting position condition, it is determined that the target patient meets the preset direct waiting condition for consultation.

[0059] Further optionally, judging whether the target patient meets the preset waiting position condition according to the current position information and the specific diagnosis and treatment area may include: According to the current location information, determine whether the target patient is currently in a specific diagnosis and treatment area; When it is determined that the target patient is currently in a specific diagnosis and treatment area, determining that the target patient meets a preset waiting location condition; When it is determined that the target patient is not currently in the specific diagnosis and treatment area, it is determined that the target patient does not meet the preset waiting location condition.

[0060] It can be seen that this optional embodiment can determine whether the waiting location conditions of the target patient are met based on the current location information and the specific treatment area, and then determine whether the conditions for directly waiting for medical treatment are met based on the waiting location conditions. This is beneficial to improving the comprehensiveness, integrity and rationality of the method for determining the conditions for directly waiting for medical treatment, and further helps to improve the accuracy and reliability of the determined conditions for directly waiting for medical treatment.

[0061] In yet another optional embodiment, the method may further include the following operations: When it is determined that the target patient meets the waiting position condition, determining the first requirement satisfaction status of the target patient for performing the waiting registration operation and / or the second requirement satisfaction information for performing the consultation and treatment operation; According to whether the first requirement is met and / or the second requirement is met, judging whether the target patient meets the preset objective waiting requirements; When it is determined that the target patient meets the objective waiting requirement, the target patient is determined to meet the preset direct waiting condition; When it is determined that the target patient does not meet the objective waiting requirement conditions, it is determined that the target patient does not meet the preset direct waiting condition for treatment.

[0062] Optionally, the satisfaction of the first requirement for performing the waiting check-in operation can be understood as: relevant situation information for judging whether the target patient can currently perform the waiting check-in operation; further, for example: whether the current time is within the prescribed target patient waiting check-in time range, etc., which is not limited in the embodiments of the present invention.

[0063] Optionally, the second requirement satisfaction information for conducting medical consultation and treatment operations can be understood as: relevant situation information for determining whether the target patient is currently capable of conducting medical consultation and treatment operations; further, for example: whether the test report has not yet been issued, etc., which is not limited in the embodiments of the present invention.

[0064] Further optionally, judging whether the target patient meets the preset objective waiting requirement conditions according to the first requirement satisfaction and / or the second requirement satisfaction may include: When the first requirement satisfaction is used to indicate that the target patient does not meet the relevant requirements for the waiting and reporting operation and / or the second requirement satisfaction is used to indicate that the target patient does not meet the relevant requirements for the consultation and treatment operation, it is determined that the target patient does not meet the preset objective waiting requirement conditions; When the first requirement satisfaction is used to indicate that the target patient meets the relevant requirements for the waiting and checking-in operation and the second requirement satisfaction is used to indicate that the target patient meets the relevant requirements for the consultation and treatment operation, it is determined that the target patient meets the preset objective waiting requirement conditions.

[0065] It can be seen that this optional embodiment can determine the objective waiting requirement condition satisfaction results based on the first requirement satisfaction situation of the target patient for performing the waiting registration operation and / or the second requirement satisfaction information for performing the consultation and treatment operation when it is judged that the target patient meets the waiting location conditions, and further determine the direct waiting for treatment condition satisfaction results based on the objective waiting requirement condition satisfaction results, which is conducive to improving the comprehensiveness and integrity of the method for determining the direct waiting for treatment condition satisfaction results, and further conducive to improving the accuracy and reliability of the determined direct waiting for treatment condition satisfaction results, and to a certain extent reducing the occurrence of invalid waiting and inability to be diagnosed and treated due to incomplete information.

[0066] In yet another optional embodiment, judging whether the target patient meets the preset indirect waiting condition for medical consultation based on the current location information and the determined medical consultation item information of the target patient may include: According to the current location information, determine the current stay area of ​​the target patient and the corresponding regional functional properties, and according to the determined treatment item information of the target patient, determine the corresponding conventional supporting treatment plan for the target patient; According to the regional functional characteristics and conventional supporting treatment plans, determine whether the target patient meets the preset basic treatment implementation conditions; When it is determined that the target patient meets the conditions for implementing the basic treatment of the disease, it is determined that the target patient meets the preset indirect waiting conditions for medical treatment; When it is determined that the target patient does not meet the basic treatment implementation conditions for the disease condition, it is determined that the target patient does not meet the preset indirect waiting conditions for medical treatment.

[0067] Optionally, examples of the regional functional properties of the current stay area include: emergency functional properties, emergency wound dressing functional properties, laboratory functional properties, rest area functional properties, etc., which are not limited in the embodiments of the present invention.

[0068] Optionally, examples are given for the medical treatment item information and conventional supporting treatment plans: for example, if the medical treatment item information is an emergency surgical treatment item, the conventional supporting treatment plan may be a disinfection and bandaging plan first; for another example, if the medical treatment item information is a skin allergy / respiratory treatment item, the conventional supporting treatment plan may be a blood test plan first. The same is true for other situations, and the embodiments of the present invention are not limited thereto.

[0069] It can be seen that this optional embodiment can determine the results of the basic treatment implementation conditions of the hospital patient's condition being met according to the regional functional properties of the target patient's current stay area and the conventional supporting treatment plans, and then determine the results of the indirect waiting for medical treatment conditions being met according to the results of the basic treatment implementation conditions being met, which is conducive to improving the comprehensiveness, integrity and rationality of the method for determining the results of the indirect waiting for medical treatment conditions being met, and then is conducive to improving the accuracy and reliability of the determined indirect waiting for medical treatment conditions being met, thereby helping to reduce the situation where patients cannot be automatically included in the queuing system due to some reasonable reasons of temporarily leaving the designated waiting area.

[0070] In yet another optional embodiment, judging whether the target patient meets the preset basic treatment implementation conditions of the disease condition according to the regional functional properties and the conventional supporting treatment plan may include: According to the functional nature of the area, determine whether the current stay area meets the preset conditions for the implementation of conventional medical services; When it is determined that the current stay area does not meet the conditions for implementing conventional medical treatment services, it is determined that the target patient does not meet the preset basic treatment conditions for the condition; When it is determined that the current stay area meets the conditions for implementing conventional rescue services, the target patient is determined to be in the possibility of experiencing the corresponding conventional joint rescue / incident handling link according to the functional nature of the area and the conventional supporting treatment plan; Based on the experience probability, determine whether the target patient is in the preset state of receiving treatment / event handling; When it is determined that the target patient is receiving treatment / event processing, it is determined that the target patient meets the preset basic condition treatment implementation conditions; When it is determined that the target patient is not in a state of receiving treatment / event handling, it is determined that the target patient does not meet the preset basic condition treatment implementation conditions.

[0071] Further optionally, judging whether the current stay area meets the preset conventional rescue service implementation conditions according to the regional functional properties may include: Determine whether the regional functional nature is within the preset range of rescue service functional nature; When it is determined that the regional functional nature is within the preset range of the rescue service functional nature, it is determined that the current stay area meets the preset conventional rescue service implementation conditions; When it is determined that the regional functional properties are not within the preset range of the rescue service functional properties, it is determined that the current stay area does not meet the preset conventional rescue service implementation conditions.

[0072] Optionally, the above-mentioned possibility of the target patient's current experience corresponding to the conventional joint treatment / event processing link is determined based on the regional functional properties and the conventional supporting treatment solutions; based on the experience possibility, it is judged whether the target patient is in a preset state of receiving treatment / event processing. For example: for example, when the regional functional properties are used to indicate that the current stay area provides the target service and the conventional supporting treatment solution is used to indicate that the target service is needed, it can be determined that the experience possibility is large, and further determine that the target patient is in the preset state of receiving treatment / event processing; for example, when the regional functional properties are used to indicate that the current stay area generally does not provide the target service and / or the conventional supporting treatment solution is used to indicate that the target service is generally not needed, it can be determined that the experience possibility is small, and further determine that the target patient is not in the preset state of receiving treatment / event processing. Other situations are similarly applicable and are not limited to the embodiments of the present invention.

[0073] Further optionally, judging whether the target patient is in a preset state of receiving treatment / event handling according to the experience possibility may include: Determine whether the experience possibility is greater than or equal to a preset experience possibility threshold; When it is determined that the experience possibility is greater than or equal to the experience possibility threshold, the target patient is determined to be in a preset state of receiving treatment / event handling; When it is determined that the experience possibility is less than the experience possibility threshold, it is determined that the target patient is not in a preset state of receiving treatment / event handling.

[0074] It can be seen that this optional embodiment can determine the results of satisfying the implementation conditions for the basic treatment of the disease condition through the level of implementation conditions for conventional medical services in the current stay area and the condition level at which the target patient is receiving treatment / event processing. This is beneficial to improving the comprehensiveness, integrity, rationality and progressiveness of the method for determining the results of satisfying the implementation conditions for the basic treatment of the disease condition, and thus is beneficial to improving the accuracy and reliability of the determined results of satisfying the implementation conditions for the basic treatment of the disease condition.

[0075] Embodiment 2 See also Figure 2 , Figure 2is a flow chart of another method for intelligent hospital patient service based on multimodal location perception disclosed in an embodiment of the present invention. Figure 2 The described method can be applied to a hospital patient intelligent service system, wherein the device may include a server, wherein the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 2 As shown, the hospital patient intelligent service method based on multimodal location perception includes the following operations: 201. Determine the current location information of the target patient based on the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient.

[0076] 202. Based on the current location information, determine whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario.

[0077] 203. When it is determined that the target patient meets the automatic queuing inclusion conditions, the corresponding queuing system automatic inclusion operation is performed on the target patient.

[0078] 204. Based on the identified target patient's treatment program information and condition description, determine the target patient's mobility and special waiting requirement information, and based on the mobility and special waiting requirement information, determine the nature of the specific waiting location corresponding to the target patient.

[0079] Optionally, the target patient's ability to walk may be the target patient's ability to walk independently, or the target patient's ability to walk by using other equipment; further, for example: if walking is convenient, the waiting place may be farther away from the treatment department; if walking is slow and difficult, the waiting place needs to be closer to the department, etc. Other situations are similarly applicable and are not limited in the embodiments of the present invention.

[0080] Optionally, the target patient's special waiting requirement information may include, but is not limited to, one or more of waiting space requirement information, waiting environment requirement information, waiting time requirement information, waiting method requirement information and other waiting requirement information; further, for example: for example, if the target patient's treatment item information and condition description content are used to indicate that the condition is contagious, then it can be determined that the target patient needs to wait in a separate room or the target patient needs to wait in a special area space; for example, if the target patient's treatment item information and condition description content are used to indicate that the condition will not affect others, then it can be determined that the target patient only needs to wait in the public waiting area, and other situations are similarly applicable, and the embodiments of the present invention are not limited thereto.

[0081] 205. Determine predicted waiting information for the target patients based on the determined real-time queuing status of the target patients, where the predicted waiting information for the target patients includes predicted waiting time for the target patients and / or the number of people waiting to be called.

[0082] 206. According to the nature of the specific waiting location, determine the target waiting subspace of the target patient in the specific diagnosis and treatment area, and determine the exclusive waiting position of the target patient in the target waiting subspace based on the current location information, predicted call waiting information, walking ability and the current distribution information of people and items in the determined target waiting subspace.

[0083] Further optionally, the above-mentioned determining the exclusive waiting position of the target patient in the target waiting subspace according to the current position information, the predicted call waiting information, the mobility and the current distribution information of people and items in the determined target waiting subspace may include: Determine one or more idle positions in the target waiting subspace that are in an idle state according to the current distribution information of people and items in the determined target waiting subspace; According to the current position information, predicted call waiting information and walking ability, the target idle position is determined from all idle positions as the exclusive waiting position for the target patient in the target waiting subspace.

[0084] Further optionally, the target idle position is determined from all idle positions based on the current position information, predicted call waiting information and mobility ability. For example, when the predicted call waiting information is used to indicate that the predicted waiting time is relatively short and / or the mobility ability is used to indicate that walking is relatively inconvenient, an idle position that is closer to the current position of the target patient and / or the diagnosis and treatment department and is more convenient to reach is determined from all idle positions as the target idle position. Other situations are similarly applicable and are not limited to this embodiment of the present invention.

[0085] 207. Generate waiting location prompt information for the target patient based on the target waiting subspace and the exclusive waiting station. The waiting location prompt information is used to prompt the navigation target patient to arrive at the relevant location for waiting.

[0086] In the embodiment of the present invention, for other descriptions of step 201 to step 207, please refer to the detailed description of step 101 to step 103 in the first embodiment, and the embodiment of the present invention will not be repeated here.

[0087] It can be seen that the embodiments of the present invention can determine the current location information of the target patient according to the multimodal application information and the patient device configuration information. When it is determined according to the current location information that the target patient meets the automatic queuing inclusion conditions of the hospital scenario, the corresponding queuing system automatic inclusion operation is performed on the target patient, which is conducive to improving the comprehensiveness and rationality of the intelligent service mode for hospital patients based on multimodal location perception, and can realize the function of automatically including hospital patients in the on-site queuing system, which is conducive to improving the accuracy and reliability of the automatic inclusion of hospital patients in the queue, as well as the efficiency, convenience and timeliness of the automatic inclusion of hospital patients in the queue, thereby helping to reduce the waiting time of hospital patients, thereby helping to improve the efficiency of medical services and patient experience. In addition, by determining the current location information of the target patient through multimodal application information, the cost of system construction and operation and maintenance can be reduced, and the accuracy and reliability of location perception can be improved, which is conducive to improving the accuracy and reliability of the current location of the determined hospital patients; and, it can also provide a method for determining an exclusive waiting location for the target patient and a waiting location prompt navigation method, which is conducive to improving the comprehensiveness and rationality of the exclusive waiting location determination method, which is conducive to improving the accuracy and reliability of the determined exclusive waiting location, which is conducive to improving the orderliness and stability of the hospital scene. In addition, it is conducive to improving the intelligence of the waiting location prompt navigation method, which is conducive to improving the efficiency and convenience of hospital patients reaching the exclusive waiting location and reducing unnecessary detours.

[0088] Embodiment 3 See also Figure 3 , Figure 3 : is a schematic diagram of a structure of a hospital patient intelligent service system based on multimodal location perception disclosed in an embodiment of the present invention. Figure 3 The described system may include a server, wherein the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 3 As shown, the hospital patient intelligent service system based on multimodal location perception may include: The location information determination module 301 is used to determine the current location information of the target patient according to the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient.

[0089] The judgment module 302 is used to judge whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario according to the current location information.

[0090] The automatic queuing execution module 303 is used to execute the corresponding automatic inclusion operation of the queuing system on the target patient when the judgment module determines that the target patient meets the automatic queuing inclusion conditions.

[0091] It can be seen that implementation Figure 3The described hospital patient intelligent service system based on multimodal location perception can determine the current location information of the target patient according to the multimodal application information and the patient equipment configuration information. When it is judged that the target patient meets the automatic queuing inclusion conditions of the hospital scenario according to the current location information, the corresponding queuing system automatic inclusion operation is performed on the target patient, which is conducive to improving the comprehensiveness and rationality of the hospital patient intelligent service method based on multimodal location perception, and can realize the function of automatically including hospital patients in the on-site queuing system, which is conducive to improving the accuracy and reliability of the automatic inclusion of hospital patients in the queue, as well as the efficiency, convenience and timeliness of the automatic inclusion of hospital patients in the queue, thereby helping to reduce the waiting time of hospital patients, thereby helping to improve the efficiency of medical services and patient experience. In addition, by determining the current location information of the target patient through multimodal application information, the system construction and operation and maintenance costs are reduced, the accuracy and reliability of location perception are improved, and thus the accuracy and reliability of the determined current location of the hospital patient are improved.

[0092] In an optional embodiment, the multimodal application information includes one or more of first application information collected based on a local area network level, second application information collected based on a wireless communication level, and third application information collected based on a software application level; And, the location information determination module 301 determines the current location information of the target patient according to the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient, specifically including: When a patient mobile device of the target patient is connected to a target LAN signal device corresponding to the hospital scene, the connection signal strength information between the target LAN signal device and the patient mobile device is determined according to the first application information and the patient device configuration information of the target patient, and the device placement orientation information of the target LAN signal device is determined; the first position result of the target patient is determined according to the connection signal strength information and the device placement orientation information; When there is a location collection authorization relationship between the patient mobile device of the target patient and the appointment registration software corresponding to the hospital scenario, the authorized location collection information corresponding to the patient mobile device is determined according to the second application information and the patient device configuration information of the target patient; the second location result of the target patient is determined according to the authorized location collection information; When a navigation application relationship exists between the patient mobile device of the target patient and the wireless communication guidance system corresponding to the hospital scene, at least three wireless communication beacons in the hospital scene that are in the closest distance relationship with the patient mobile device are determined according to the third application information and the patient device configuration information of the target patient, and the wireless communication signal strength information corresponding to each wireless communication beacon and the patient mobile device is determined; the third position result of the target patient is determined according to the set beacon position information and the wireless communication signal strength information of each determined wireless communication beacon; The current position information of the target patient is determined according to the first position result and / or the second position result and / or the third position result.

[0093] It can be seen that implementation Figure 4 The described system can match the corresponding location result determination methods for the first application information collected based on the local area network level, the second application information collected based on the wireless communication level, and the third application information collected based on the software application level, thereby determining the current location information of the target patient, which is conducive to improving the diversity, flexibility, pertinence and rationality of the patient location result determination methods, thereby helping to improve the accuracy and reliability of the determined patient location results, thereby helping to improve the accuracy and reliability of the current location information determined based on the location results. In addition, by utilizing the hospital's existing WIFI, Bluetooth and other infrastructure to determine the current location information, the system construction and operation and maintenance costs are reduced, and the accuracy and reliability of location perception are improved through multimodal data fusion.

[0094] In another optional embodiment, the determination module 302 determines whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario according to the current location information, specifically including: Identify target patients based on specific treatment areas in the hospital setting; Based on the current location information and specific diagnosis and treatment area, determine whether the target patient meets the preset direct waiting conditions for treatment; When it is determined that the target patient meets the direct waiting condition for medical treatment, it is determined that the target patient meets the preset automatic queuing inclusion condition for the hospital scenario; When it is determined that the target patient does not meet the direct waiting condition for medical consultation, it is determined whether the target patient meets the preset indirect waiting condition for medical consultation based on the current location information and the determined medical consultation item information of the target patient; When it is determined that the target patient meets the indirect waiting condition for medical treatment, it is determined that the target patient meets the preset automatic queuing inclusion condition for the hospital scenario; When it is determined that the target patient does not meet the indirect waiting condition for medical treatment, it is determined that the target patient does not meet the preset automatic queuing inclusion condition for the hospital scenario.

[0095] It can be seen that implementation Figure 4 The described system can also determine the results of automatic queuing inclusion conditions being met through the direct waiting level and the indirect waiting level for medical treatment, which is conducive to improving the comprehensiveness, integrity, rationality and progressiveness of the method for determining the results of automatic queuing inclusion conditions being met, and thus is conducive to improving the accuracy and reliability of the determined results of automatic queuing inclusion conditions being met, thereby helping to improve the execution accuracy, reliability and timeliness of the automatic queuing inclusion operation triggered by the results of automatic queuing inclusion conditions being met.

[0096] In another optional embodiment, the determination module 302 determines whether the target patient meets the preset direct waiting condition for treatment according to the current location information and the specific treatment area, specifically including: Based on the current location information and specific diagnosis and treatment area, determine whether the target patient meets the preset waiting location conditions; When it is determined that the target patient does not meet the waiting position condition, determining that the target patient does not meet the preset direct waiting condition for treatment; When it is determined that the target patient meets the waiting position condition, it is determined that the target patient meets the preset direct waiting condition for consultation.

[0097] It can be seen that implementation Figure 4 The described system can also determine whether the waiting location conditions of the target patient are met based on the current location information and the specific treatment area, and then determine whether the direct waiting for medical treatment conditions are met based on the waiting location conditions. This is conducive to improving the comprehensiveness, integrity and rationality of the method for determining the direct waiting for medical treatment conditions, and thus is conducive to improving the accuracy and reliability of the determined direct waiting for medical treatment conditions.

[0098] In another optional embodiment, the judgment module 302 is also used to determine the first requirement satisfaction of the target patient for performing the waiting registration operation and / or the second requirement satisfaction information for performing the consultation and treatment operation when it is determined that the target patient meets the waiting location conditions; based on the first requirement satisfaction and / or the second requirement satisfaction, determine whether the target patient meets the preset objective waiting requirement conditions; when it is determined that the target patient meets the objective waiting requirement conditions, determine that the target patient meets the preset direct waiting condition for treatment; when it is determined that the target patient does not meet the objective waiting requirement conditions, determine that the target patient does not meet the preset direct waiting condition for treatment.

[0099] It can be seen that implementation Figure 4The described system can also determine the objective waiting requirement condition satisfaction results based on the first requirement satisfaction status of the target patient for performing the waiting registration operation and / or the second requirement satisfaction information for performing the consultation and treatment operation when it is determined that the target patient meets the waiting location conditions, and further determine the direct waiting for treatment condition satisfaction results based on the objective waiting requirement condition satisfaction results, which is conducive to improving the comprehensiveness and integrity of the method for determining the direct waiting for treatment condition satisfaction results, and further conducive to improving the accuracy and reliability of the determined direct waiting for treatment condition satisfaction results, and to a certain extent reducing the occurrence of invalid waiting and inability to diagnose and treat due to incomplete information.

[0100] In another optional embodiment, the determination module 302 determines whether the target patient meets the preset indirect waiting condition for medical treatment according to the current location information and the determined medical treatment item information of the target patient, specifically including: According to the current location information, determine the current stay area of ​​the target patient and the corresponding regional functional properties, and according to the determined treatment item information of the target patient, determine the corresponding conventional supporting treatment plan for the target patient; According to the regional functional characteristics and conventional supporting treatment plans, determine whether the target patient meets the preset basic treatment implementation conditions; When it is determined that the target patient meets the conditions for implementing the basic treatment of the disease, it is determined that the target patient meets the preset indirect waiting conditions for medical treatment; When it is determined that the target patient does not meet the basic treatment implementation conditions for the disease condition, it is determined that the target patient does not meet the preset indirect waiting conditions for medical treatment.

[0101] It can be seen that implementation Figure 4 The described system can also determine the results of the basic treatment implementation conditions for the hospital patient's condition being met based on the regional functional properties of the target patient's current stay area and the conventional supporting treatment plans, and then determine the results of the indirect waiting for treatment conditions being met based on the results of the basic treatment implementation conditions being met, which is conducive to improving the comprehensiveness, integrity and rationality of the method for determining the results of the indirect waiting for treatment conditions being met, and then is conducive to improving the accuracy and reliability of the determined indirect waiting for treatment conditions being met, thereby helping to reduce the situation where patients cannot be automatically included in the queuing system due to some reasonable reasons of temporarily leaving the designated waiting area.

[0102] In another optional embodiment, the judgment module 302 judges whether the target patient meets the preset basic treatment implementation conditions of the disease condition according to the regional functional properties and the conventional supporting treatment plan, specifically including: According to the functional nature of the area, determine whether the current stay area meets the preset conditions for the implementation of conventional medical services; When it is determined that the current stay area does not meet the conditions for implementing conventional medical treatment services, it is determined that the target patient does not meet the preset basic treatment conditions for the condition; When it is determined that the current stay area meets the conditions for implementing conventional rescue services, the target patient is determined to be in the possibility of experiencing the corresponding conventional joint rescue / incident handling link according to the functional nature of the area and the conventional supporting treatment plan; Based on the experience probability, determine whether the target patient is in the preset state of receiving treatment / event handling; When it is determined that the target patient is receiving treatment / event processing, it is determined that the target patient meets the preset basic condition treatment implementation conditions; When it is determined that the target patient is not in a state of receiving treatment / event handling, it is determined that the target patient does not meet the preset basic condition treatment implementation conditions.

[0103] It can be seen that implementation Figure 4 The described system can also determine the results of satisfying the implementation conditions for the basic treatment of the disease condition through the level of implementation conditions for routine medical treatment services in the current stay area and the condition level of the target patient's current treatment / event handling status, which is conducive to improving the comprehensiveness, integrity, rationality and progressiveness of the method for determining the results of satisfying the implementation conditions for the basic treatment of the disease condition, and thus helps to improve the accuracy and reliability of the determined results of satisfying the implementation conditions for the basic treatment of the disease condition.

[0104] In yet another optional embodiment, Figure 4 As shown, the system may also include: The waiting location determination module 304 is used to determine the target patient's mobility and special waiting requirement information based on the determined target patient's treatment item information and condition description content after the automatic queuing execution module executes the corresponding queuing system automatic inclusion operation on the target patient, and determine the specific waiting location nature corresponding to the target patient based on the mobility and special waiting requirement information; determine the target patient's predicted call waiting information based on the determined real-time queuing situation of the target patient, the predicted call waiting information including the predicted call waiting time and / or the number of people waiting to be called ahead; determine the target waiting subspace of the target patient in the specific diagnosis and treatment area based on the specific waiting location nature, and determine the target patient's exclusive waiting position in the target waiting subspace based on the current position information, predicted call waiting information, mobility and the current distribution information of people and items in the determined target waiting subspace.

[0105] The waiting location prompting module 305 is used to generate waiting location prompting information for the target patient according to the target waiting subspace and the exclusive waiting station. The waiting location prompting information is used to prompt the target patient to arrive at the relevant location for waiting.

[0106] It can be seen that implementation Figure 4 The described system can also provide a method for determining an exclusive waiting location for a target patient and a method for prompting and navigating the waiting location, which is conducive to improving the comprehensiveness and rationality of the method for determining an exclusive waiting location, and further, is conducive to improving the accuracy and reliability of the determined exclusive waiting location, thereby helping to improve the orderliness and stability of the hospital scene. In addition, it is conducive to improving the intelligence of the method for prompting and navigating the waiting location, and further, is conducive to improving the efficiency and convenience of hospital patients reaching the exclusive waiting location, and reducing unnecessary detours.

[0107] Embodiment 4 See also Figure 5 , Figure 5 is a structural diagram of another hospital patient intelligent service system based on multimodal location perception disclosed in an embodiment of the present invention. Figure 5 The described system may include a server, wherein the server includes a local server or a cloud server, which is not limited in the embodiment of the present invention. Figure 5 As shown, the system may include: A memory 401 storing executable program codes; a processor 402 coupled to the memory 401; Furthermore, it may also include an input interface 403 and an output interface 404 coupled to the processor 402; The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the hospital patient intelligent service method based on multimodal location perception described in the first or second embodiment.

[0108] Embodiment 5 An embodiment of the present invention discloses a computer storage medium that stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the hospital patient intelligent service method based on multimodal location perception described in Embodiment 1 or Embodiment 2.

[0109] Embodiment 6 An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the hospital patient intelligent service method based on multimodal location perception described in Example 1 or Example 2.

[0110] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0111] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0112] Finally, it should be noted that the intelligent service method and system for hospital patients based on multimodal location perception disclosed in the embodiment of the present invention only discloses the preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A hospital patient intelligent service method based on multimodal location perception, characterized in that: The method is applied to the intelligent service system for hospital patients, and the method comprises: Determine the current location information of the target patient according to the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient; According to the current location information, determining whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario; When it is determined that the target patient meets the automatic queuing inclusion condition, the corresponding queuing system automatic inclusion operation is performed on the target patient.

2. The method for intelligent hospital patient services based on multimodal location perception according to claim 1, characterized in that: The multimodal application information includes one or more of first application information collected based on a local area network level, second application information collected based on a wireless communication level, and third application information collected based on a software application level; And, determining the current location information of the target patient according to the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient includes: When a patient mobile device of a target patient is connected to a target LAN signal device corresponding to a hospital scene, the connection signal strength information between the target LAN signal device and the patient mobile device is determined according to the first application information and the patient device configuration information of the target patient, and the device placement orientation information of the target LAN signal device is determined; the first position result of the target patient is determined according to the connection signal strength information and the device placement orientation information; When there is a location collection authorization relationship between the patient mobile device of the target patient and the appointment registration software corresponding to the hospital scenario, determining the authorized location collection information corresponding to the patient mobile device according to the second application information and the patient device configuration information of the target patient; determining the second location result of the target patient according to the authorized location collection information; When a navigation application relationship exists between the patient mobile device of the target patient and the wireless communication guidance system corresponding to the hospital scene, at least three wireless communication beacons in the hospital scene that are in the closest distance relationship with the patient mobile device are determined according to the third application information and the patient device configuration information of the target patient, and the wireless communication signal strength information corresponding to each of the wireless communication beacons and the patient mobile device is determined; the third position result of the target patient is determined according to the set beacon position information of each of the determined wireless communication beacons and the wireless communication signal strength information; The current position information of the target patient is determined according to the first position result and / or the second position result and / or the third position result.

3. The intelligent service method for hospital patients based on multimodal location perception according to claim 1 is characterized in that: The step of judging, based on the current location information, whether the target patient meets a preset automatic queuing inclusion condition for the hospital scenario includes: Determining the target patient based on a specific diagnosis and treatment area in the hospital scenario; According to the current location information and the specific diagnosis and treatment area, determining whether the target patient meets the preset direct waiting condition for treatment; When it is determined that the target patient meets the direct waiting condition for medical treatment, determining that the target patient meets the preset automatic queuing inclusion condition for the hospital scenario; When it is determined that the target patient does not meet the direct waiting condition for medical consultation, judging whether the target patient meets the preset indirect waiting condition for medical consultation according to the current location information and the determined medical consultation item information of the target patient; When it is determined that the target patient meets the indirect waiting condition for medical treatment, determining that the target patient meets the preset automatic queuing inclusion condition for the hospital scenario; When it is determined that the target patient does not meet the indirect waiting condition for medical treatment, it is determined that the target patient does not meet the preset automatic queuing inclusion condition for the hospital scenario.

4. The intelligent service method for hospital patients based on multimodal location perception according to claim 3 is characterized in that: The determining, based on the current location information and the specific diagnosis and treatment area, whether the target patient meets a preset direct waiting condition for diagnosis and treatment includes: According to the current location information and the specific diagnosis and treatment area, determining whether the target patient meets the preset waiting location conditions; When it is determined that the target patient does not meet the waiting position condition, determining that the target patient does not meet the preset direct waiting condition for consultation; When it is determined that the target patient meets the waiting position condition, determining that the target patient meets the preset direct waiting condition for medical treatment; And, the method further comprises: When it is determined that the target patient meets the waiting position condition, determining the first requirement satisfaction status of the target patient for performing a waiting registration operation and / or the second requirement satisfaction information for performing a consultation and treatment operation; According to whether the first requirement is met and / or the second requirement is met, determining whether the target patient meets the preset objective waiting requirement conditions; When it is determined that the target patient meets the objective waiting requirement, determining that the target patient meets the preset direct waiting condition for consultation; When it is determined that the target patient does not meet the objective waiting requirement conditions, it is determined that the target patient does not meet the preset direct waiting condition for seeing a doctor.

5. The intelligent service method for hospital patients based on multimodal location perception according to claim 3 is characterized in that: The step of judging whether the target patient meets a preset indirect waiting condition for medical treatment according to the current location information and the determined medical treatment item information of the target patient includes: Determine the current stay area of ​​the target patient and its corresponding regional functional properties according to the current location information, and determine the conventional supporting treatment plan corresponding to the target patient according to the determined treatment item information of the target patient; According to the functional properties of the region and the conventional supporting treatment plan, judging whether the target patient meets the preset basic treatment implementation conditions of the disease condition; When it is determined that the target patient meets the basic condition treatment implementation conditions, determining that the target patient meets the preset indirect waiting for medical treatment conditions; When it is determined that the target patient does not meet the basic condition treatment implementation conditions, it is determined that the target patient does not meet the preset indirect waiting for medical treatment conditions.

6. The intelligent service method for hospital patients based on multimodal location perception according to claim 5 is characterized in that: The step of judging whether the target patient meets the preset basic treatment implementation conditions for the condition according to the functional properties of the region and the conventional supporting treatment plan includes: According to the functional properties of the area, determining whether the current stay area meets the preset conditions for implementing conventional rescue services; When it is determined that the current stay area does not meet the conventional treatment service implementation conditions, determining that the target patient does not meet the preset basic condition treatment implementation conditions; When it is determined that the current stay area meets the conditions for implementing the conventional rescue service, the possibility of the target patient currently being in the corresponding experience of the conventional joint rescue / event handling link is determined according to the functional properties of the area and the conventional supporting treatment plan; According to the experience possibility, determining whether the target patient is in a preset state of receiving treatment / event handling; When it is determined that the target patient is in the state of receiving treatment / event processing, determining that the target patient meets the preset basic condition processing implementation conditions; When it is determined that the target patient is not in the state of receiving treatment / event processing, it is determined that the target patient does not meet the preset basic condition processing implementation conditions.

7. The intelligent service method for hospital patients based on multimodal location perception according to any one of claims 1 to 6, characterized in that: After the target patient is automatically included in the queuing system, the method further includes: Determine the target patient's mobility and special waiting requirement information based on the determined treatment item information and condition description of the target patient, and determine the nature of the specific waiting location corresponding to the target patient based on the mobility and special waiting requirement information; Determine the predicted waiting time for calling the target patient according to the determined real-time queuing situation of the target patient, wherein the predicted waiting time for calling the target patient includes the predicted waiting time for calling the target patient and / or the number of people waiting to be called ahead; Determine the target waiting subspace of the target patient in the specific diagnosis and treatment area according to the nature of the specific waiting location, and determine the exclusive waiting position of the target patient in the target waiting subspace according to the current location information, the predicted call waiting information, the mobility and the determined current distribution information of people and items in the target waiting subspace; The waiting location prompt information of the target patient is generated according to the target waiting subspace and the exclusive waiting station, and the waiting location prompt information is used to prompt and navigate the target patient to arrive at a relevant location for waiting.

8. An intelligent hospital patient service system based on multimodal location perception, characterized in that: The system comprises: A location information determination module, used to determine the current location information of the target patient according to the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient; A judgment module, used to judge whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario according to the current location information; The automatic queuing execution module is used to execute the corresponding automatic inclusion operation of the queuing system for the target patient when the judgment module determines that the target patient meets the automatic queuing inclusion condition.

9. An intelligent hospital patient service system based on multimodal location perception, characterized in that: The system comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the hospital patient intelligent service method based on multimodal location perception as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, which, when called, are used to execute the hospital patient intelligent service method based on multimodal location perception as described in any one of claims 1-7.

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