Intelligent Hospital Patient Service Methods and Systems Based on Multimodal Location Awareness

Abstract

This invention relates to the field of medical information technology and discloses a method and system for intelligent hospital patient services based on multimodal location awareness. The method includes: determining the current location information of a target patient based on multimodal application information based on the hospital scenario and the target patient's device configuration information; determining whether the target patient meets the automatic queuing inclusion conditions based on the current location information; and if so, performing the corresponding automatic queuing system inclusion operation on the target patient. Therefore, this invention can automatically include hospital patients into the on-site queuing system, improving the accuracy, reliability, efficiency, convenience, and timeliness of automatic queuing inclusion, reducing patient waiting time, thereby improving medical service efficiency and patient experience. Furthermore, it reduces system construction and maintenance costs, improves the accuracy and reliability of location awareness, and enhances the accuracy and reliability of determining the current location of hospital patients.

Description

Technical Field

[0001] This invention relates to the field of medical information technology, and in particular to a method and system for providing intelligent services to hospital patients based on multimodal location perception. Background Technology

[0002] With the continuous advancement of medical technology and the increasing diversification of patient needs, hospitals face unprecedented challenges. To ensure the orderly operation of hospitals and improve the patient experience, queuing systems have become an indispensable part of hospital management. However, in practical applications, existing queuing methods in hospital service management often rely on patients going to a manual counter to inform staff of their information. After staff manually enter the patient information to complete the check-in, the patient queues for their turn. Alternatively, patients can check in themselves using a hospital check-in device. Manually entering patient information is prone to errors, leading to check-in and queuing failures. This results in long waiting times and low efficiency and accuracy. Therefore, providing an intelligent service method that can improve the accuracy and efficiency of queuing in hospital settings is particularly important. Summary of the Invention

[0003] This invention provides a method and system for intelligent hospital patient services based on multimodal location perception, which can automatically include hospital patients into the on-site queuing system, improve the accuracy and efficiency of automatic queuing, reduce hospital patients' waiting time, and thus improve medical service efficiency and patient experience.

[0004] To address the aforementioned technical problems, the first aspect of this invention discloses a method for intelligent hospital patient services based on multimodal location awareness. This method is applied to an intelligent hospital patient service system and includes:

[0005] Based on the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient, the current location information of the target patient is determined;

[0006] Based on the current location information, determine whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario;

[0007] When it is determined that the target patient meets the automatic queuing inclusion conditions, the corresponding automatic queuing system inclusion operation is performed on the target patient.

[0008] A second aspect of this invention discloses an intelligent hospital patient service system based on multimodal location awareness, the system comprising:

[0009] The location information determination module is used to 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;

[0010] The judgment module is used to determine, based on the current location information, whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario;

[0011] An automatic queuing execution module is used to perform a corresponding automatic queuing system inclusion operation on the target patient when the judgment module determines that the target patient meets the automatic queuing inclusion conditions.

[0012] As an optional implementation, in a second aspect of the present invention, the multimodal application information includes one or more of the following: first application information collected at the local area network level, second application information collected at the wireless communication level, and third application information collected at the software application level.

[0013] Furthermore, the location information determination module determines 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 in the following specific ways:

[0014] When the target patient's mobile device is connected to the target local area network (LAN) signal device corresponding to the hospital scenario, the connection signal strength information between the target LAN signal device and the patient's mobile device is determined based on the first application information and the target patient's device configuration information, and the device placement information of the target LAN signal device is determined; based on the connection signal strength information and the device placement information, the first location result of the target patient is determined.

[0015] When the target patient's mobile device has a location collection authorization relationship with the appointment registration software corresponding to the hospital scenario, the authorized location collection information corresponding to the patient's mobile device is determined according to the second application information and the target patient's patient device configuration information; the second location result of the target patient is determined according to the authorized location collection information.

[0016] When the target patient's mobile device has a navigation application relationship with the wireless communication guidance system corresponding to the hospital scene, based on the third application information and the target patient's device configuration information, at least three wireless communication beacons in the hospital scene that have the closest distance relationship with the patient's mobile device are determined, and the wireless communication signal strength information corresponding to each wireless communication beacon and the patient's mobile device is determined; based on the set beacon location information of each determined wireless communication beacon and the wireless communication signal strength information, the third location result of the target patient is determined;

[0017] The current location information of the target patient is determined based on the first location result and / or the second location result and / or the third location result.

[0018] As an optional implementation, in a second aspect of the present invention, the method by which the determining module determines whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario based on the current location information specifically includes:

[0019] The target patient is identified based on a specific treatment area within the hospital setting;

[0020] Based on the current location information and the specific treatment area, determine whether the target patient meets the preset conditions for direct waiting for treatment;

[0021] When it is determined that the target patient meets the direct waiting conditions for medical treatment, it is determined that the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario;

[0022] When it is determined that the target patient does not meet the direct waiting conditions for medical treatment, the system determines whether the target patient meets the preset indirect waiting conditions for medical treatment based on the current location information and the determined medical service items of the target patient.

[0023] When it is determined that the target patient meets the indirect waiting conditions for medical treatment, it is determined that the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario;

[0024] When it is determined that the target patient does not meet the indirect waiting conditions for medical treatment, it is determined that the target patient does not meet the preset automatic queuing inclusion conditions for the hospital scenario.

[0025] As an optional implementation, in a second aspect of the present invention, the method by which the determining module determines whether the target patient meets the preset conditions for direct waiting for treatment based on the current location information and the specific treatment area specifically includes:

[0026] Based on the current location information and the specific treatment area, determine whether the target patient meets the preset waiting location conditions;

[0027] When it is determined that the target patient does not meet the waiting location conditions, it is determined that the target patient does not meet the preset direct waiting conditions for treatment;

[0028] When it is determined that the target patient meets the waiting location conditions, it is determined that the target patient meets the preset direct waiting conditions for treatment;

[0029] Furthermore, the judgment module is further configured to, when it is determined that the target patient meets the waiting location conditions, determine the first requirement fulfillment status of the target patient for waiting check-in operations and / or the second requirement fulfillment information for consultation and treatment operations; based on the first requirement fulfillment status and / or the second requirement fulfillment status, determine whether the target patient meets preset objective waiting requirements; when it is determined that the target patient meets the objective waiting requirements, determine that the target patient meets preset direct waiting conditions; when it is determined that the target patient does not meet the objective waiting requirements, determine that the target patient does not meet preset direct waiting conditions.

[0030] As an optional implementation, in a second aspect of the present invention, the method by which the determining module determines whether the target patient meets the preset indirect waiting conditions for medical treatment based on the current location information and the determined medical service item information of the target patient specifically includes:

[0031] Based on the current location information, determine the current area where the target patient is staying and its corresponding functional nature, and based on the determined medical information of the target patient, determine the corresponding routine treatment plan for the target patient;

[0032] Based on the functional characteristics of the area and the conventional supporting treatment plan, determine whether the target patient meets the preset basic treatment implementation conditions.

[0033] When it is determined that the target patient meets the basic treatment conditions, the target patient is determined to meet the preset indirect waiting conditions for medical treatment.

[0034] When it is determined that the target patient does not meet the basic treatment conditions, it is determined that the target patient does not meet the preset indirect waiting conditions for medical treatment.

[0035] As an optional implementation method, in the second aspect of the present invention, the method by which the determining module determines whether the target patient meets the preset basic treatment implementation conditions based on the functional properties of the region and the conventional supporting treatment scheme specifically includes:

[0036] Based on the functional characteristics of the area, determine whether the current area of ​​stay meets the preset conditions for implementing routine medical services;

[0037] When it is determined that the current area of ​​stay does not meet the conditions for implementing the routine medical treatment, it is determined that the target patient does not meet the preset conditions for implementing basic medical treatment.

[0038] When it is determined that the current area meets the conditions for implementing the routine medical services, the probability of the target patient being in the routine related medical treatment / event handling process is determined based on the functional nature of the area and the routine supporting treatment plan.

[0039] Based on the likelihood of the experience, determine whether the target patient is in a preset state of receiving treatment / event management;

[0040] When it is determined that the target patient is in the state of receiving treatment / event handling, it is determined that the target patient meets the preset basic conditions for implementing treatment.

[0041] When it is determined that the target patient is not in the state of receiving treatment / event handling, it is determined that the target patient does not meet the preset basic conditions for implementing treatment.

[0042] As an optional implementation, in a second aspect of the invention, the system further includes:

[0043] The waiting area determination module is used to determine the mobility and special waiting requirements of the target patient based on the determined treatment items and condition description of the target patient after the automatic queuing execution module performs the corresponding automatic queuing system inclusion operation for the target patient; and to determine the specific waiting area nature corresponding to the target patient based on the mobility and special waiting requirements; to determine the predicted calling number waiting information of the target patient based on the determined real-time queuing status of the target patient, the predicted calling number waiting information including the predicted calling number waiting time and / or the number of people waiting ahead; and to determine the target waiting subspace of the target patient in a specific treatment area based on the specific waiting area nature, and to determine the exclusive waiting position of the target patient in the target waiting subspace based on the current location information, the predicted calling number waiting information, the mobility, and the current personnel and item distribution information in the determined target waiting subspace.

[0044] The waiting location prompt module is used to generate waiting location prompt information for the target patient based on the target waiting subspace and the dedicated waiting station. The waiting location prompt information is used to guide the target patient to the relevant location for waiting.

[0045] A third aspect of this invention discloses another intelligent hospital patient service system based on multimodal location awareness, the system comprising:

[0046] Memory containing executable program code;

[0047] A processor coupled to the memory;

[0048] The processor calls the executable program code stored in the memory to execute the intelligent hospital patient service method based on multimodal location awareness disclosed in the first aspect of the present invention.

[0049] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the intelligent hospital patient service method based on multimodal location perception disclosed in the first aspect of the present invention.

[0050] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0051] In this embodiment of the invention, the system is applied to an intelligent service system for hospital patients. Based on the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient, the current location information of the target patient is determined. Based on the current location information, it is determined 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 conditions, the corresponding automatic queuing system inclusion operation is performed on the target patient. As can be seen, this invention can determine the current location information of a target patient based on multimodal application information and patient equipment configuration information. When it is determined that the target patient meets the automatic queuing inclusion conditions in a hospital scenario based on the current location information, the corresponding automatic queuing system inclusion operation is performed on the target patient. This is beneficial to improving the comprehensiveness and rationality of the intelligent service mode for hospital patients based on multimodal location awareness. It can realize the function of automatically including hospital patients into the on-site queuing system, which is beneficial to improving the accuracy and reliability of the automatic inclusion of hospital patients into the queue, as well as the efficiency, convenience, and timeliness of the automatic inclusion of hospital patients into the queue. This, in turn, helps to reduce the waiting time of hospital patients, thereby improving the efficiency of medical services and the patient experience. In addition, by determining the current location information of the target patient through multimodal application information, the system construction and maintenance costs are reduced, and the accuracy and reliability of location awareness are improved, which in turn helps to improve the accuracy and reliability of the determined current location of hospital patients. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 This is a flowchart illustrating a method for providing intelligent hospital patient services based on multimodal location awareness, as disclosed in an embodiment of the present invention.

[0054] Figure 2 This is a flowchart illustrating another intelligent hospital patient service method based on multimodal location perception disclosed in an embodiment of the present invention.

[0055] Figure 3 This is a schematic diagram of the structure of a hospital patient intelligent service system based on multimodal location perception disclosed in an embodiment of the present invention;

[0056] Figure 4 This is a schematic diagram of another intelligent hospital patient service system based on multimodal location perception disclosed in an embodiment of the present invention;

[0057] Figure 5 This is a schematic diagram of another intelligent hospital patient service system based on multimodal location perception disclosed in an embodiment of the present invention. Detailed Implementation

[0058] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0060] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0061] This invention discloses a method and system for intelligent hospital patient services based on multimodal location awareness. It can determine the current location information of a target patient based on multimodal application information and patient device configuration information. When the target patient meets the automatic queuing inclusion conditions in a hospital setting based on the current location information, the system automatically includes the target patient in the queuing system. This improves the comprehensiveness and rationality of the intelligent hospital patient service based on multimodal location awareness, enabling automatic inclusion of hospital patients into the on-site queuing system. It also improves the accuracy, reliability, efficiency, convenience, and timeliness of automatic patient queuing, thereby reducing patient waiting time and improving medical service efficiency and patient experience. Furthermore, determining the target patient's current location information through multimodal application information reduces system construction and maintenance costs, improves the accuracy and reliability of location awareness, and thus enhances the accuracy and reliability of the determined current location of hospital patients. Detailed explanations follow.

[0062] Example 1

[0063] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method and system for intelligent hospital patient services based on multimodal location awareness, as disclosed in an embodiment of the present invention. Figure 1 The described method can be applied to intelligent patient service systems in hospitals. The device may include a server, which may be a local server or a cloud server; this embodiment of the invention is not limited to any particular server. Figure 1 As shown, this intelligent hospital patient service method based on multimodal location awareness includes the following operations:

[0064] 101. Based on the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient, determine the current location information of the target patient.

[0065] Optionally, the patient device configuration information of the target patient may include, but is not limited to, one or more of the following: 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, and mobile device WiFi related application information. This embodiment of the invention does not limit the scope of the information.

[0066] 102. Based on the current location information, determine whether the target patient meets the preset automatic queuing inclusion conditions for hospital scenarios.

[0067] Alternatively, the method may further include the following operations:

[0068] When it is determined that the target patient does not meet the preset automatic queuing inclusion conditions for hospital scenarios, the current state of the target patient is determined based on the current location information and the determined walking trajectory information of the target patient. The current state includes purposeful walking or aimless walking.

[0069] Based on the current status and the next target medical visit of the identified target patient, a first prompt instruction for the target patient is generated, and steps 101-102 above are executed again; wherein, the first prompt instruction is used to prompt and guide the target patient to the next location.

[0070] 103. When it is determined that the target patient meets the automatic queuing inclusion criteria, the corresponding automatic queuing system inclusion operation is performed on the target patient.

[0071] Further, optionally, the above-mentioned automatic inclusion of the target patient in the queuing system may include:

[0072] Based on the target patient's patient identification information and / or current location information, the corresponding queuing system will automatically include them.

[0073] Optionally, the above-mentioned queuing system can be automatically included in the operation. For example, the target patient can be automatically registered and queued, without the need for the target patient to manually register at the front desk or work machine before queuing, as is the case with existing queuing systems. This embodiment of the invention does not limit this.

[0074] Optionally, the queuing system can be automatically integrated with 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, they can be automatically included in the queuing queue and the queuing status can be 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 based on the location information; the data interaction unit is responsible for data interaction with the hospital's queuing system; (3) Implementation of the location information monitoring unit: Design an event monitoring mechanism to monitor the location information output by the location information fusion module in real time. When the location information of the patient arriving at the designated area is detected, 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 location information of the patient arriving at the designated area is detected, 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 various situations, such as the patient canceling the appointment or changing the department of treatment; (5) Data interaction unit implementation: establish a data interaction channel with the hospital queuing system to realize the real-time transmission and processing of data; data interaction needs to consider data format, transmission protocol, security and other factors to ensure the accurate transmission and processing of data. This embodiment of the invention does not limit the scope of the invention.

[0075] Optionally, this solution addresses the user interface design aspect. Specifically, the system provides a user-friendly interface to facilitate patients' viewing of current queuing status, estimated waiting time, and other information, thereby improving the patient's medical experience. This embodiment of the invention does not impose any limitations on this aspect.

[0076] Optionally, regarding performance optimization and scalability, this solution specifically requires the system to have a robust performance optimization mechanism to ensure stable operation even under high concurrency scenarios. Simultaneously, the system should be scalable to accommodate more types of sensors and data sources in the future; however, this embodiment of the invention does not impose limitations on this.

[0077] Optionally, this solution addresses data security and privacy protection in the following ways: (1) Data encryption and transmission security: The system uses 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 data leakage or security incidents. This embodiment of the invention does not limit the scope of the solution.

[0078] As can be seen, the intelligent hospital patient service method based on multimodal location awareness described in the embodiments of the present invention can determine the current location information of the target patient based on multimodal application information and patient equipment configuration information. When it is determined that the target patient meets the automatic queuing inclusion conditions in the hospital scenario based on the current location information, the corresponding automatic queuing system inclusion operation is performed on the target patient. This is beneficial to improving the comprehensiveness and rationality of the intelligent hospital patient service method based on multimodal location awareness, and can realize the function of automatically including hospital patients into the on-site queuing system. This is beneficial to improving the accuracy and reliability of the automatic inclusion of hospital patients into the queue, as well as the efficiency, convenience, and timeliness of the automatic inclusion of hospital patients into the queue. This, in turn, helps to reduce the waiting time of hospital patients, thereby improving the efficiency of medical services and the patient experience. In addition, by determining the current location information of the target patient through multimodal application information, the system construction and maintenance costs are reduced, and the accuracy and reliability of location awareness are improved, which in turn helps to improve the accuracy and reliability of the determined current location of hospital patients.

[0079] In an optional embodiment, the multimodal application information may include one or more of the following: first application information collected at the local area network level, second application information collected at the wireless communication level, and third application information collected at the software application level. This embodiment of the invention does not limit the scope of the information.

[0080] Optionally, the determination of the target patient's current location information based on the collected multimodal application information based on the hospital scenario and the preset patient device configuration information may include:

[0081] When the target patient's mobile device is connected to the target local area network (LAN) signal device corresponding to the hospital scenario, the connection signal strength information between the target LAN signal device and the patient's mobile device is determined based on the first application information and the target patient's device configuration information, and the device placement information of the target LAN signal device is also determined; based on the connection signal strength information and the device placement information, the first location result of the target patient is determined.

[0082] When the target patient's mobile device has a location collection authorization relationship with the appointment registration software corresponding to the hospital scenario, the authorized location collection information corresponding to the patient's mobile device is determined based on the second application information and the target patient's device configuration information; the second location result of the target patient is determined based on the authorized location collection information.

[0083] When the target patient's mobile device has a navigation application relationship with the wireless communication guidance system corresponding to the hospital scene, based on the third application information and the target patient's device configuration information, at least three wireless communication beacons in the hospital scene that have the closest distance relationship with the patient's mobile device are determined, and the wireless communication signal strength information corresponding to each wireless communication beacon and the patient's mobile device is determined; based on the set beacon location information and wireless communication signal strength information of each determined wireless communication beacon, the third location result of the target patient is determined.

[0084] Based on the first location result and / or the second location result and / or the third location result, determine the current location information of the target patient.

[0085] Optionally, the first location result, the second location result, and the third location result may include, but are not limited to, whether location information was collected, whether the location information is within a specific treatment area, and the specific location collected. This embodiment of the invention does not impose any limitations on these aspects.

[0086] Optionally, the first application information collected at the local area network level mentioned above can be illustrated by, for example, MAC address location awareness information at the WIFI level. This embodiment of the invention does not limit the scope of the information.

[0087] Optionally, the second application information collected based on the wireless communication layer mentioned above can be illustrated by examples such as information related to Bluetooth beacon navigation and location awareness. This embodiment of the invention does not limit the scope of the information.

[0088] Optionally, the above-mentioned third application information collected at the software application level is illustrated by, for example, information about patients using self-service APPs. This embodiment of the invention does not limit the scope of the information.

[0089] Optionally, the patient's mobile device is connected to the target local area network signal device corresponding to the hospital scenario. For example, the target patient connects to the public WiFi in the hospital lobby to access the Internet. This embodiment of the invention does not limit this.

[0090] Optionally, the method for determining the first location result of the target patient described above can be illustrated as follows: When the target patient connects to the public WIFI in the hospital lobby, the system records its WIFI MAC address and associates it with the patient ID; the system deploys multiple WIFI APs in various treatment areas of the hospital to form a WIFI network covering the entire hospital; when the target patient enters the treatment area, the system detects the activity of the target patient's WIFI MAC address through WIFI sniffing technology; based on parameters such as WIFI signal strength and propagation path loss, combined with a multi-AP collaborative positioning algorithm, the system achieves an accurate estimation of the target patient's location and obtains the target patient's first location result; furthermore, when the system determines that the target patient has entered a specific treatment area, it automatically includes the target patient in the queuing system of that area, which is not limited in this embodiment of the invention.

[0091] Further optionally, the above-mentioned determination of the target patient's first location based on connection signal strength information and device placement information may include:

[0092] Based on the connection signal strength information, a circular area is determined with the shortest straight-line distance between the target patient and the target local area network signal device as the radius.

[0093] Based on the equipment placement information, the specific coordinates of the target patient within the circular area are determined, which serves as the target patient's primary location result.

[0094] Optionally, the target local area network signal device, for example: in a hospital setting, there may be multiple WiFi devices (i.e., local area network signal devices). The WiFi connected to the target patient's mobile device is used as the target local area network signal device. This embodiment of the invention does not limit the scope.

[0095] Optionally, the activity of WiFi devices within the hospital can be monitored in real time using WiFi sniffing technology, such as patient device configuration information and connection signal strength information. 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 listening to data packets in the WiFi network and extracting MAC addresses. The data processing unit cleans and transforms the extracted MAC addresses to generate location information. The data storage unit is responsible for storing the location information for subsequent business logic layer calls. Further, the WiFi sniffer implementation uses open-source WiFi sniffing tools, such as Wireshark and Aircrack-ng, to listen to the hospital's public WiFi network. By configuring the sniffer, data packets containing MAC addresses are filtered out, and the MAC addresses of patient mobile phones are extracted. Further, the data processing unit cleans the extracted MAC addresses, removing duplicate and invalid data. Simultaneously, the MAC addresses are associated with patient IDs to generate records containing patient IDs and location information. The data storage unit uses a relational database to store the location information, establishing a reasonable database table structure to ensure fast data retrieval and updates. This embodiment of the invention is not limited to this.

[0096] Optionally, to improve the accuracy of location perception, the system can 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. This embodiment of the invention does not limit this.

[0097] Optionally, the target patient's mobile device and the appointment registration software corresponding to the hospital scenario have a location acquisition authorization relationship. For example, the target patient's mobile phone has authorized the appointment registration software corresponding to the hospital scenario to obtain location access permissions. This embodiment of the invention does not impose any limitations.

[0098] Optionally, the method for determining the second location result of the target patient can be illustrated as follows: The target patient installs a self-service APP provided by the hospital on their mobile phone to make appointments, pay fees, and perform other services; after the APP requests location permissions and obtains the target patient's consent, it begins to acquire the target patient's location information in real time, thus obtaining the target patient's second location result; furthermore, the APP uploads the location information to the server, and the server determines the patient's location based on a preset treatment area range. When the system determines that the patient has entered the hospital area or a specific treatment area, it automatically includes the patient in the queuing system. This embodiment of the invention does not limit the scope of the invention.

[0099] Optionally, to ensure the security and privacy of patient location information, the data transmission between the APP and the server adopts an encryption protocol, and the server only stores the processed location information and does not retain the original location data. This embodiment of the invention does not impose any limitations.

[0100] Optionally, the target patient's mobile device has a navigation application relationship with the wireless communication triage system corresponding to the hospital scenario. For example, the target patient's mobile device is navigating based on the hospital's Bluetooth beacon. This embodiment of the invention does not limit this.

[0101] Optionally, the method for determining the third location result of the target patient can be illustrated as follows: the hospital deploys Bluetooth beacons in key locations such as various treatment areas, corridors, and elevator entrances; after the target patient selects a treatment area using the hospital's guidance system, the system provides a navigation path; the Bluetooth beacons update the target patient's location information in real time to ensure that the system can accurately perceive the patient's location and obtain the target patient's third location result; furthermore, when the system determines that the target patient has entered a specific treatment area, it automatically includes the target patient in the queuing system, which is not limited in this embodiment of the invention.

[0102] Optionally, Bluetooth beacons can be deployed in key locations such as treatment areas, corridors, and elevator entrances within the hospital to form a hospital-wide Bluetooth network. When patients use the hospital's navigation system, the system provides navigation routes based on the treatment area selected by the patient. Simultaneously, the Bluetooth beacons update the patient's location information in real time, ensuring that the system can accurately perceive the patient's location. Based on the received Bluetooth beacon information and signal strength (RSSI), a trilateration algorithm or a fingerprint positioning algorithm is used to calculate the patient's location. Specifically, for example, the trilateration algorithm calculates the patient's location by measuring the distance between the patient's mobile phone and at least three beacons; or the fingerprint positioning algorithm determines the patient's location by matching the pre-collected location fingerprint database with the real-time received information. This embodiment of the invention is not limited to these methods.

[0103] Optionally, for the multimodal data fusion of the first location result, the second location result, and the third location result, specifically: (1) The system will fuse location sensing data based on WIFI, APP, and Bluetooth beacon to improve the accuracy and reliability of location sensing; (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) Implementation of the data receiving unit: 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) Implementation of the fusion algorithm unit: Use algorithms such as Kalman filtering and particle filtering to perform fusion processing on 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 a suitable fusion algorithm according to 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. This embodiment of the invention does not limit this.

[0104] As can be seen, this optional embodiment can match the corresponding location result determination methods for the first application information collected at the local area network level, the second application information collected at the wireless communication level, and the third application information collected at the software application level, thereby determining the current location information of the target patient. This is beneficial to improving the diversity, flexibility, pertinence, and rationality of the patient location result determination methods, thereby improving the accuracy and reliability of the determined patient location results, and thus 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 for current location information determination, the system construction and maintenance costs are reduced, and the accuracy and reliability of location perception are improved through multimodal data fusion.

[0105] In another optional embodiment, the above-mentioned determination of whether the target patient meets the preset automatic queuing inclusion conditions for a hospital setting based on the current location information may include:

[0106] Identify target patients based on specific treatment areas within a hospital setting;

[0107] Based on the current location information and specific treatment area, determine whether the target patient meets the preset conditions for direct waiting for treatment;

[0108] When it is determined that the target patient meets the conditions for direct waiting for medical treatment, it is determined that the target patient meets the preset automatic queuing inclusion conditions for hospital scenarios.

[0109] When it is determined that the target patient does not meet the conditions for direct waiting for medical treatment, the system determines whether the target patient meets the preset conditions for indirect waiting for medical treatment based on the current location information and the identified medical items of the target patient.

[0110] When it is determined that the target patient meets the conditions for indirect waiting for medical treatment, it is determined that the target patient meets the preset automatic queuing inclusion conditions for hospital scenarios.

[0111] When it is determined that the target patient does not meet the conditions for indirect waiting for medical treatment, it is determined that the target patient does not meet the preset automatic queuing inclusion conditions for hospital scenarios.

[0112] Optionally, the target patient is based on a specific treatment area in the hospital setting. This can be understood as the target patient being automatically included in the queuing system when the target patient arrives at the specific treatment area under normal circumstances. This embodiment of the invention does not limit this.

[0113] Optionally, the above conditions for directly waiting for treatment are met, for example: the target patient has arrived at the specific treatment area, and further, the current time is within the target patient's check-in queuing time range (not early or late), and / or, the target patient's treatment report has been completed, etc., then it is determined that the conditions for directly waiting for treatment are met. This embodiment of the invention does not limit this.

[0114] Optionally, the above-mentioned conditions for indirect waiting for medical treatment can be illustrated by the following example: Although the target patient has not arrived at the specific treatment area, the target patient is only temporarily performing relevant reasonable / necessary procedures in other areas and is in fact waiting for medical treatment. For example, the target patient may have gone to the next department to receive emergency bandaging while waiting for their number to be called, or the target patient's current medical procedure requires prior blood testing, and the target patient may have gone to another department to get the blood test results before returning for medical treatment. In this case, the conditions for indirect waiting for medical treatment are met, and this embodiment of the present invention does not impose any limitations.

[0115] As can be seen, this optional embodiment can determine the automatic queuing inclusion condition fulfillment result through the direct waiting for medical treatment level and the indirect waiting for medical treatment level, which is conducive to improving the comprehensiveness, integrity, rationality and progressiveness of the method for determining the automatic queuing inclusion condition fulfillment result, thereby improving the accuracy and reliability of the determined automatic queuing inclusion condition fulfillment result, and thus improving the accuracy, reliability and timeliness of the automatic queuing inclusion operation triggered by the automatic queuing inclusion condition fulfillment result.

[0116] In another optional embodiment, the above-mentioned determination of whether the target patient meets the preset direct waiting conditions based on the current location information and the specific treatment area may include:

[0117] Based on the current location information and specific treatment area, determine whether the target patient meets the preset waiting location conditions;

[0118] When it is determined that the target patient does not meet the waiting location conditions, it is determined that the target patient does not meet the preset conditions for direct waiting for treatment.

[0119] When it is determined that the target patient meets the waiting location criteria, the target patient is confirmed to meet the preset direct waiting conditions for treatment.

[0120] Further optionally, the determination of whether the target patient meets the preset waiting location conditions based on the current location information and the specific treatment area may include:

[0121] Based on the current location information, determine whether the target patient is currently within a specific treatment area;

[0122] When it is determined that the target patient is currently in a specific treatment area, the target patient is confirmed to meet the preset waiting location conditions;

[0123] When it is determined that the target patient is not currently within a specific treatment area, it is determined that the target patient does not meet the preset waiting location conditions.

[0124] As can be seen, this optional embodiment can determine the waiting location conditions of the target patient based on the current location information and the specific treatment area, and then determine the direct waiting conditions for treatment based on the waiting location conditions. This is beneficial to improving the comprehensiveness, integrity and rationality of the method for determining the direct waiting conditions for treatment, and thus improving the accuracy and reliability of the determined direct waiting conditions for treatment.

[0125] In yet another alternative embodiment, the method may further include the following operations:

[0126] When it is determined that the target patient meets the waiting location conditions, the first requirement for the target patient to check in for waiting and / or the second requirement for the patient to seek medical treatment are determined.

[0127] Based on the satisfaction of the first need and / or the satisfaction of the second need, determine whether the target patient meets the preset objective waiting requirements.

[0128] When it is determined that the target patient meets the objective waiting requirements, the target patient is confirmed to meet the preset conditions for direct waiting for medical treatment.

[0129] When it is determined that the target patient does not meet the objective waiting requirements, it is determined that the target patient does not meet the preset conditions for direct waiting for medical treatment.

[0130] Optionally, the first requirement for performing the waiting and check-in operation mentioned above can be understood as: relevant information used to determine whether the target patient is currently able to perform the waiting and check-in operation; further, for example, whether the current time is within the specified waiting and check-in time range for the target patient, etc., which are not limited in this embodiment of the invention.

[0131] Optionally, the second requirement fulfillment information mentioned above for conducting consultation and treatment operations can be understood as: relevant information for determining whether the target patient is currently able to conduct consultation and treatment operations; further, for example, whether the test report has not yet been issued, etc., but this embodiment of the invention does not limit it.

[0132] Further optionally, the above-mentioned determination of whether the target patient meets the preset objective waiting requirements based on the satisfaction of the first requirement and / or the satisfaction of the second requirement may include:

[0133] When the first requirement is met to indicate that the target patient does not meet the relevant requirements for the waiting and reporting operation and / or the second requirement is met to indicate that the target patient does not meet the relevant requirements for the consultation and treatment operation, the conditions under which the target patient does not meet the preset objective waiting requirements are determined.

[0134] When the first requirement is met to indicate that the target patient meets the relevant requirements for the waiting and reporting operation, and the second requirement is met to indicate that the target patient meets the relevant requirements for the consultation and treatment operation, the conditions for the target patient to meet the preset objective waiting requirements are determined.

[0135] As can be seen, this optional embodiment can determine the objective waiting requirements when it is determined that the target patient meets the waiting location conditions, based on the first requirement of the target patient for waiting check-in and / or the second requirement for consultation and treatment. Furthermore, it can determine the direct waiting for treatment conditions based on the objective waiting requirements, which helps to improve the comprehensiveness and integrity of the method for determining the direct waiting for treatment conditions. This, in turn, helps to improve the accuracy and reliability of the determined direct waiting for treatment conditions, and to a certain extent reduces the occurrence of invalid waiting and inability to be treated due to incomplete data.

[0136] In another optional embodiment, the above-mentioned determination of whether the target patient meets the preset indirect waiting conditions for medical treatment based on the current location information and the identified target patient's medical service items may include:

[0137] Based on the current location information, determine the current area where the target patient is staying and its corresponding functional nature, and based on the determined medical information of the target patient, determine the corresponding routine treatment plan for the target patient;

[0138] Based on the functional nature of the area and the routine supporting treatment plan, determine whether the target patient meets the preset basic conditions for treatment.

[0139] When it is determined that the target patient meets the basic treatment conditions, it is determined that the target patient meets the preset indirect waiting conditions for medical treatment.

[0140] When it is determined that the target patient does not meet the basic treatment conditions, it is determined that the target patient does not meet the preset indirect waiting conditions for treatment.

[0141] Optionally, the functional nature of the current area of ​​stay can be illustrated by examples such as emergency room function, emergency wound dressing function, laboratory function, rest area function, etc., but this embodiment of the invention does not limit the scope.

[0142] Optionally, regarding the medical service information and routine supporting treatment plan, for example: if the medical service information is for emergency surgical treatment, the routine supporting treatment plan may be a disinfection and bandaging procedure; if the medical service information is for skin allergy / respiratory treatment, the routine supporting treatment plan may be a blood test procedure. The same applies to other situations, and the embodiments of the present invention are not limited.

[0143] As can be seen, this optional embodiment can determine the fulfillment of the basic treatment conditions for the patient's condition based on the functional nature of the area where the target patient is currently staying and the routine supporting treatment plan. Then, based on the fulfillment of the basic treatment conditions, it can determine the fulfillment of the indirect waiting conditions. This is beneficial to improving the comprehensiveness, integrity, and rationality of the method for determining the fulfillment of the indirect waiting conditions, and thus improving the accuracy and reliability of the determined indirect waiting conditions. This helps to reduce the occurrence of situations where patients cannot be automatically included in the queuing system due to temporarily leaving the designated waiting area for some reasonable reasons.

[0144] In another optional embodiment, the above-mentioned determination of whether the target patient meets the preset basic treatment implementation conditions based on the regional functional nature and conventional supporting treatment plan may include:

[0145] Based on the functional nature of the area, determine whether the current area meets the preset conditions for implementing routine medical services;

[0146] When it is determined that the current area of ​​stay does not meet the conditions for implementing routine medical services, it is determined that the target patient does not meet the preset conditions for basic treatment of the patient's condition.

[0147] When it is determined that the current area meets the conditions for implementing routine medical services, the likelihood of the target patient being in the routine related medical treatment / event handling process is determined based on the functional nature of the area and the routine supporting treatment plan.

[0148] Based on the likelihood of experience, determine whether the target patient is in a pre-defined state of receiving treatment / event management;

[0149] When it is determined that the target patient is in a state of receiving treatment / event management, it is confirmed that the target patient meets the preset basic conditions for implementing treatment.

[0150] When it is determined that the target patient is not currently receiving treatment / event management, it is determined that the target patient does not meet the preset basic conditions for implementing treatment.

[0151] Further optionally, the above-mentioned determination of whether the current area meets the preset conditions for implementing routine medical services based on the functional nature of the area may include:

[0152] Determine whether the functional nature of the area falls within the preset range of medical treatment service functions;

[0153] When it is determined that the functional nature of the area is within the preset range of medical treatment service functional nature, it is determined that the current area meets the preset conditions for the implementation of routine medical treatment services.

[0154] When it is determined that the functional nature of the area is not within the preset range of medical service functions, it is determined that the current area does not meet the preset conditions for implementing routine medical services.

[0155] Optionally, based on the functional characteristics of the area and the routine supporting treatment plan, the probability of the target patient currently being in the routine treatment / event handling stage is determined. Based on the probability of the experience, it is determined whether the target patient is in a preset state of receiving treatment / event handling. For example, if the functional characteristics of the area indicate that the current area provides the target service and the routine supporting treatment plan indicates that the target service is needed, then the probability of the experience is relatively high, and the target patient is in a preset state of receiving treatment / event handling. Or, if the functional characteristics of the area indicate that the current area generally does not provide the target service and / or the routine supporting treatment plan indicates that the target service is generally not needed, then the probability of the experience is relatively low, and the target patient is not in a preset state of receiving treatment / event handling. Other situations can be obtained in the same way, and this embodiment of the invention is not limited.

[0156] Further, optionally, the above-mentioned determination of whether the target patient is in a pre-defined state of receiving treatment / event management based on the likelihood of experience may include:

[0157] Determine whether the likelihood of the experience is greater than or equal to a preset threshold for the likelihood of the experience.

[0158] When the probability of experiencing an event is determined to be greater than or equal to the probability threshold, the target patient is identified as being in a pre-defined state of receiving treatment / event management.

[0159] When the probability of experiencing an event is determined to be less than the probability threshold, it is determined that the target patient is not in the preset state of receiving treatment / event management.

[0160] As can be seen, this optional embodiment can determine the fulfillment of the basic treatment implementation conditions by considering the conditions of routine medical services in the current area and the current treatment / event handling status of the target patient. This is beneficial to improving the comprehensiveness, integrity, rationality, and progressiveness of the method for determining the fulfillment of the basic treatment implementation conditions, thereby improving the accuracy and reliability of the determined fulfillment of the basic treatment implementation conditions.

[0161] Example 2

[0162] Please see Figure 2 , Figure 2 This is a flowchart illustrating another intelligent hospital patient service method based on multimodal location awareness disclosed in an embodiment of the present invention. Wherein, Figure 2 The described method can be applied to intelligent patient service systems in hospitals. The device may include a server, which may be a local server or a cloud server; this embodiment of the invention is not limited to any particular server. Figure 2 As shown, this intelligent hospital patient service method based on multimodal location awareness includes the following operations:

[0163] 201. Based on the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient, determine the current location information of the target patient.

[0164] 202. Based on the current location information, determine whether the target patient meets the preset automatic queuing inclusion conditions for hospital scenarios.

[0165] 203. When it is determined that the target patient meets the automatic queuing inclusion criteria, the corresponding automatic queuing system inclusion operation is performed on the target patient.

[0166] 204. Based on the identified treatment items and condition descriptions of the target patients, determine their mobility and special waiting requirements, and based on their mobility and special waiting requirements, determine the nature of the specific waiting location for the target patients.

[0167] Optionally, the target patient's walking ability can be the target patient's ability to walk independently or the target patient's ability to walk using other devices; further, for example, if walking is convenient, the waiting area can be farther away from the treatment department, or if walking is slow and difficult, the waiting area needs to be closer to the department, and so on. Other situations can be deduced similarly, and the embodiments of the present invention are not limited.

[0168] Optionally, the special waiting requirements information for the target patient may include, but is not limited to, one or more of the following: waiting space requirements, waiting environment requirements, waiting time requirements, waiting method requirements, and other waiting requirements. Further, for example: if the target patient's treatment information and disease description indicate that the disease is infectious, then it can be determined that the target patient needs to wait in a separate room or in a designated area. Alternatively, if the target patient's treatment information and disease description indicate that the disease will not affect others, then it can be determined that the target patient only needs to wait in a public waiting area. Other situations can be deduced similarly, and this embodiment of the invention does not impose limitations.

[0169] 205. Based on the real-time queuing status of the identified target patients, determine the predicted call waiting information for the target patients. The predicted call waiting information includes the predicted call waiting time and / or the number of people waiting ahead of them.

[0170] 206. Based on the nature of the specific waiting area, determine the target waiting subspace for the target patient in the specific treatment area, and based on the current location information, predicted call waiting information, mobility, and the current distribution information of people and items in the determined target waiting subspace, determine the exclusive waiting position for the target patient in the target waiting subspace.

[0171] Further optionally, the determination of the target patient's exclusive waiting position in the target waiting subspace based on the current location information, predicted queuing waiting information, mobility, and the current distribution information of people and items in the determined target waiting subspace may include:

[0172] Based on the current distribution information of people and items in the identified target waiting subspace, determine one or more vacant locations in the target waiting subspace that are currently vacant;

[0173] Based on current location information, predicted queuing waiting information, and mobility, a target vacant location is determined from all available locations to serve as the exclusive waiting station for the target patient in the target waiting subspace.

[0174] Optionally, based on the current location information, predicted waiting time information, and mobility, a target vacant location is determined from all available locations. For example, when the predicted waiting time information indicates a relatively short predicted waiting time and / or mobility indicates relatively inconvenient mobility, a vacant location that is closer to and more easily accessible than the target patient's current location and / or the treatment department is determined from all available locations as the target vacant location. The same principle applies to other situations, and this embodiment of the invention does not impose any limitations.

[0175] 207. Based on the target waiting subspace and the dedicated waiting station, generate waiting location prompt information for the target patient. The waiting location prompt information is used to guide the target patient to the relevant location for waiting.

[0176] In this embodiment of the invention, for other descriptions of steps 201-207, please refer to the detailed description of steps 101-103 in Embodiment 1. These descriptions will not be repeated in this embodiment of the invention.

[0177] As can be seen, the embodiments of the present invention can determine the current location information of the target patient based on multimodal application information and patient device configuration information. When it is determined that the target patient meets the automatic queuing inclusion conditions in a hospital scenario based on the current location information, the corresponding automatic queuing system inclusion operation is performed on the target patient. This is beneficial 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 into the on-site queuing system. This is beneficial to improving the accuracy and reliability of the automatic inclusion of hospital patients into the queue, as well as the efficiency, convenience, and timeliness of the automatic inclusion of hospital patients into the queue. In turn, it is beneficial to reduce the waiting time of hospital patients, thereby improving the efficiency of medical services and the patient experience. Furthermore, by using multimodal application information to determine the current location information of target patients, the system construction and maintenance costs are reduced, and the accuracy and reliability of location perception are improved, which in turn helps to improve the accuracy and reliability of the current location of patients in the hospital. Additionally, it can provide a dedicated waiting area determination method and a waiting area navigation method for target patients, which helps to improve the comprehensiveness and rationality of the dedicated waiting area determination method, thereby improving the accuracy and reliability of the determined dedicated waiting area. This, in turn, helps to improve the order and stability of the hospital environment. Moreover, it helps to improve the intelligence of the waiting area navigation method, which in turn helps to improve the efficiency and convenience for hospital patients to reach their dedicated waiting areas, reducing unnecessary detours.

[0178] Example 3

[0179] Please see Figure 3 , Figure 3This is a schematic diagram of the structure of a hospital patient intelligent service system based on multimodal location awareness, as disclosed in an embodiment of the present invention. Figure 3 The described system may include a server, which may be a local server or a cloud server; this embodiment of the invention does not limit the scope. Figure 3 As shown, the intelligent hospital patient service system based on multimodal location awareness may include:

[0180] The location information determination module 301 is used to 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.

[0181] The judgment module 302 is used to determine whether the target patient meets the preset automatic queuing inclusion conditions for hospital scenarios based on the current location information.

[0182] The automatic queuing execution module 303 is used to perform the corresponding automatic queuing system inclusion operation on the target patient when the judgment module determines that the target patient meets the automatic queuing inclusion conditions.

[0183] It is evident that implementation Figure 3 The described intelligent hospital patient service system based on multimodal location awareness can determine the current location information of a target patient based on multimodal application information and patient equipment configuration information. When the target patient meets the automatic queuing inclusion conditions in the hospital scenario based on the current location information, the system automatically includes the target patient in the queuing system. This improves the comprehensiveness and rationality of the intelligent hospital patient service based on multimodal location awareness, enabling the automatic inclusion of hospital patients into the on-site queuing system. This improves the accuracy, reliability, efficiency, convenience, and timeliness of automatic queuing, thereby reducing patient waiting time and improving medical service efficiency and patient experience. Furthermore, determining the current location information of the target patient through multimodal application information reduces system construction and maintenance costs, improves the accuracy and reliability of location awareness, and further enhances the accuracy and reliability of the determined current location of the hospital patient.

[0184] In an optional embodiment, the multimodal application information includes one or more of the following: first application information collected at the local area network level, second application information collected at the wireless communication level, and third application information collected at the software application level.

[0185] Furthermore, the location information determination module 301 determines 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 in the following specific ways:

[0186] When the target patient's mobile device is connected to the target local area network (LAN) signal device corresponding to the hospital scenario, the connection signal strength information between the target LAN signal device and the patient's mobile device is determined based on the first application information and the target patient's device configuration information, and the device placement information of the target LAN signal device is also determined; based on the connection signal strength information and the device placement information, the first location result of the target patient is determined.

[0187] When the target patient's mobile device has a location collection authorization relationship with the appointment registration software corresponding to the hospital scenario, the authorized location collection information corresponding to the patient's mobile device is determined based on the second application information and the target patient's device configuration information; the second location result of the target patient is determined based on the authorized location collection information.

[0188] When the target patient's mobile device has a navigation application relationship with the wireless communication guidance system corresponding to the hospital scene, based on the third application information and the target patient's device configuration information, at least three wireless communication beacons in the hospital scene that have the closest distance relationship with the patient's mobile device are determined, and the wireless communication signal strength information corresponding to each wireless communication beacon and the patient's mobile device is determined; based on the set beacon location information and wireless communication signal strength information of each determined wireless communication beacon, the third location result of the target patient is determined.

[0189] Based on the first location result and / or the second location result and / or the third location result, determine the current location information of the target patient.

[0190] It is evident that implementation Figure 4 The described system can match corresponding location result determination methods for first application information collected at the local area network level, second application information collected at the wireless communication level, and third application information collected at the software application level, thereby determining the current location information of the target patient. This helps to improve the diversity, flexibility, relevance, and rationality of the patient location result determination methods, which in turn helps to improve the accuracy and reliability of the determined patient location results. Furthermore, by utilizing the hospital's existing infrastructure such as WIFI and Bluetooth for current location information determination, the system construction and maintenance costs are reduced, and the accuracy and reliability of location perception are improved through multimodal data fusion.

[0191] In another optional embodiment, the determination module 302 determines whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario based on the current location information, specifically including:

[0192] Identify target patients based on specific treatment areas within a hospital setting;

[0193] Based on the current location information and specific treatment area, determine whether the target patient meets the preset conditions for direct waiting for treatment;

[0194] When it is determined that the target patient meets the conditions for direct waiting for medical treatment, the target patient meets the preset automatic queuing inclusion conditions for hospital scenarios.

[0195] When it is determined that the target patient does not meet the conditions for direct waiting for medical treatment, the system determines whether the target patient meets the preset conditions for indirect waiting for medical treatment based on the current location information and the identified medical items of the target patient.

[0196] When it is determined that the target patient meets the conditions for indirect waiting for medical treatment, it is determined that the target patient meets the preset automatic queuing inclusion conditions for hospital scenarios.

[0197] When it is determined that the target patient does not meet the conditions for indirect waiting for medical treatment, it is determined that the target patient does not meet the preset automatic queuing inclusion conditions for hospital scenarios.

[0198] It is evident that implementation Figure 4 The described system can also determine the automatic queuing inclusion condition fulfillment results through both direct and indirect waiting for medical treatment levels. This helps improve the comprehensiveness, integrity, rationality, and progressiveness of the method for determining the automatic queuing inclusion condition fulfillment results, thereby improving the accuracy and reliability of the determined automatic queuing inclusion condition fulfillment results. Consequently, it helps improve the accuracy, reliability, and timeliness of the automatic queuing inclusion operations triggered by the automatic queuing inclusion condition fulfillment results.

[0199] In another optional embodiment, the determination module 302 determines whether the target patient meets the preset conditions for direct waiting for treatment based on the current location information and the specific treatment area, specifically including:

[0200] Based on the current location information and specific treatment area, determine whether the target patient meets the preset waiting location conditions;

[0201] When it is determined that the target patient does not meet the waiting location conditions, it is determined that the target patient does not meet the preset conditions for direct waiting for treatment.

[0202] When it is determined that the target patient meets the waiting location criteria, the target patient is confirmed to meet the preset direct waiting conditions for treatment.

[0203] It is evident that implementation Figure 4The described system can also determine the waiting location conditions of a target patient based on the current location information and a specific treatment area, and then determine the direct waiting conditions for treatment based on the waiting location conditions. This helps to improve the comprehensiveness, integrity and rationality of the method for determining the direct waiting conditions for treatment, and thus helps to improve the accuracy and reliability of the determined direct waiting conditions for treatment.

[0204] In another optional embodiment, the judgment module 302 is further configured to, when it is determined that the target patient meets the waiting location conditions, determine the first requirement fulfillment status of the target patient for waiting check-in operation and / or the second requirement fulfillment information for consultation and treatment operation; based on the first requirement fulfillment status and / or the second requirement fulfillment status, determine whether the target patient meets the preset objective waiting requirements; when it is determined that the target patient meets the objective waiting requirements, determine that the target patient meets the preset direct waiting conditions; when it is determined that the target patient does not meet the objective waiting requirements, determine that the target patient does not meet the preset direct waiting conditions.

[0205] It is evident that implementation Figure 4 The described system can also determine the objective waiting requirements when it is determined that the target patient meets the waiting location conditions. This is based on the satisfaction of the target patient's first requirement for waiting and / or the satisfaction of the second requirement for consultation and treatment. Furthermore, it determines the direct waiting conditions based on the objective waiting requirements, which helps improve the comprehensiveness and integrity of the method for determining the direct waiting conditions. This, in turn, helps improve the accuracy and reliability of the determined direct waiting conditions, and to a certain extent reduces the occurrence of invalid waiting or inability to receive treatment due to incomplete data.

[0206] In another optional embodiment, the determination module 302 determines whether the target patient meets the preset indirect waiting conditions for medical treatment based on the current location information and the identified medical service items of the target patient. The specific methods include:

[0207] Based on the current location information, determine the current area where the target patient is staying and its corresponding functional nature, and based on the determined medical information of the target patient, determine the corresponding routine treatment plan for the target patient;

[0208] Based on the functional nature of the area and the routine supporting treatment plan, determine whether the target patient meets the preset basic conditions for treatment.

[0209] When it is determined that the target patient meets the basic treatment conditions, it is determined that the target patient meets the preset indirect waiting conditions for medical treatment.

[0210] When it is determined that the target patient does not meet the basic treatment conditions, it is determined that the target patient does not meet the preset indirect waiting conditions for treatment.

[0211] It is evident that implementation Figure 4 The described system can also determine the fulfillment of the basic treatment conditions for the patient's condition based on the functional nature of the area where the target patient is currently staying and the routine supporting treatment plan. Then, based on the fulfillment of the basic treatment conditions, it can determine the fulfillment of the indirect waiting conditions. This helps to improve the comprehensiveness, integrity, and rationality of the method for determining the fulfillment of indirect waiting conditions, and thus improves the accuracy and reliability of the determined indirect waiting conditions. This helps to reduce the occurrence of situations where patients cannot be automatically included in the queuing system due to temporarily leaving the designated waiting area for some reasonable reasons.

[0212] In another optional embodiment, the determination module 302 determines whether the target patient meets the preset basic treatment implementation conditions based on the regional functional properties and conventional supporting treatment schemes, specifically including:

[0213] Based on the functional nature of the area, determine whether the current area meets the preset conditions for implementing routine medical services;

[0214] When it is determined that the current area of ​​stay does not meet the conditions for implementing routine medical services, it is determined that the target patient does not meet the preset conditions for basic treatment of the patient's condition.

[0215] When it is determined that the current area meets the conditions for implementing routine medical services, the likelihood of the target patient being in the routine related medical treatment / event handling process is determined based on the functional nature of the area and the routine supporting treatment plan.

[0216] Based on the likelihood of experience, determine whether the target patient is in a pre-defined state of receiving treatment / event management;

[0217] When it is determined that the target patient is in a state of receiving treatment / event management, it is confirmed that the target patient meets the preset basic conditions for implementing treatment.

[0218] When it is determined that the target patient is not currently receiving treatment / event management, it is determined that the target patient does not meet the preset basic conditions for implementing treatment.

[0219] It is evident that implementation Figure 4The described system can also determine the fulfillment of basic treatment conditions by considering the conditions of routine medical services in the current area and the status of the target patient's current treatment / event management. This helps to improve the comprehensiveness, integrity, rationality, and progressiveness of the method for determining the fulfillment of basic treatment conditions, thereby improving the accuracy and reliability of the determined fulfillment of basic treatment conditions.

[0220] In yet another alternative embodiment, such as Figure 4 As shown, the system may also include:

[0221] The waiting location determination module 304 is used to determine the mobility and special waiting requirements of the target patient based on the treatment items and condition description of the target patient after the automatic queuing execution module performs the corresponding queuing system automatic inclusion operation. Based on the mobility and special waiting requirements, it determines the specific waiting location nature of the target patient. Based on the real-time queuing status of the target patient, it determines the predicted calling number waiting information of the target patient, including the predicted calling number waiting time and / or the number of people waiting ahead. Based on the specific waiting location nature, it determines the target waiting subspace of the target patient in a specific treatment area, and determines the exclusive waiting position of the target patient in the target waiting subspace based on the current location information, predicted calling number waiting information, mobility, and the current distribution information of people and items in the determined target waiting subspace.

[0222] The waiting location prompt module 305 is used to generate waiting location prompt information for the target patient based on the target waiting subspace and the dedicated waiting station. The waiting location prompt information is used to guide the target patient to the relevant location for waiting.

[0223] It is evident that implementation Figure 4 The described system can also provide a method for determining the exclusive waiting location for target patients and a navigation method for indicating the waiting location. This helps to improve the comprehensiveness and rationality of the method for determining the exclusive waiting location, thereby improving the accuracy and reliability of the determined exclusive waiting location. This, in turn, helps to improve the order and stability of the hospital environment. In addition, it helps to improve the intelligence of the navigation method for indicating the waiting location, thereby improving the efficiency and convenience for hospital patients to reach their exclusive waiting location and reducing unnecessary detours.

[0224] Example 4

[0225] Please see Figure 5 , Figure 5 This is a schematic diagram of another intelligent hospital patient service system based on multimodal location awareness, as disclosed in an embodiment of the present invention. Figure 5The described system may include a server, which may be a local server or a cloud server; this embodiment of the invention does not limit the scope. Figure 5 As shown, the system may include:

[0226] Memory 401 storing executable program code;

[0227] Processor 402 coupled to memory 401;

[0228] Furthermore, it may also include an input interface 403 coupled to the processor 402 and an output interface 404;

[0229] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the intelligent hospital patient service method based on multimodal location awareness described in Embodiment 1 or Embodiment 2.

[0230] Example 5

[0231] This invention discloses a computer storage medium storing a computer program for electronic data interchange, wherein the computer program causes a computer to execute the steps in the intelligent hospital patient service method based on multimodal location awareness described in Embodiment 1 or Embodiment 2.

[0232] Example 6

[0233] This 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 cause a computer to perform the steps in the intelligent hospital patient service method based on multimodal location awareness described in Embodiment 1 or Embodiment 2.

[0234] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0235] Through the detailed 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 necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0236] Finally, it should be noted that the intelligent hospital patient service method and system based on multimodal location perception disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligent hospital patient services based on multimodal location perception, characterized in that, The method is applied to a hospital patient intelligent service system, and the method includes: Based on the collected multimodal application information based on the hospital scenario and the preset patient device configuration information of the target patient, the current location information of the target patient is determined; Based on the current location information, determine 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 conditions, the corresponding automatic queuing system inclusion operation is performed on the target patient. And, after performing the corresponding automatic queuing system inclusion operation on the target patient, the method further includes: Based on the identified treatment items and condition description of the target patient, the mobility and special waiting requirements of the target patient are determined, and based on the mobility and special waiting requirements, the nature of the specific waiting location corresponding to the target patient is determined. Based on the real-time queuing status of the target patient, the predicted call waiting information of the target patient is determined, and the predicted call waiting information includes the predicted call waiting time and / or the number of people waiting ahead. Based on the nature of the specific waiting location, the target waiting subspace of the target patient in the specific treatment area is determined, and based on the current location information, the predicted call waiting information, the mobility and the current distribution information of people and items in the determined target waiting subspace, the exclusive waiting position of the target patient in the target waiting subspace is determined; Based on the target waiting subspace and the dedicated waiting station, the waiting location prompt information for the target patient is generated. The waiting location prompt information is used to guide the target patient to the relevant location for waiting. And, determining the exclusive waiting position for the target patient in the target waiting subspace based on the current location information, the predicted queuing waiting information, the mobility ability, and the determined distribution information of current personnel and items in the target waiting subspace includes: Based on the current distribution information of people and items in the target waiting subspace, determine one or more vacant locations in the target waiting subspace that are currently vacant; Based on the current location information, the predicted queuing waiting information, and the mobility, a target vacant location is determined from all the vacant locations and used as the exclusive waiting position for the target patient in the target waiting subspace; And, the step of determining whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario based on the current location information includes: The target patient is identified based on a specific treatment area within the hospital setting; Based on the current location information and the specific treatment area, determine whether the target patient meets the preset conditions for direct waiting for treatment; When it is determined that the target patient meets the direct waiting conditions for medical treatment, it is determined that the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario; When it is determined that the target patient does not meet the direct waiting conditions for medical treatment, the system determines whether the target patient meets the preset indirect waiting conditions for medical treatment based on the current location information and the determined medical service items of the target patient. When it is determined that the target patient meets the indirect waiting conditions for medical treatment, it is determined that the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario; When it is determined that the target patient does not meet the indirect waiting conditions for medical treatment, it is determined that the target patient does not meet the preset automatic queuing inclusion conditions for the hospital scenario; And, the step of determining whether the target patient meets the preset indirect waiting conditions for medical treatment based on the current location information and the determined medical service information of the target patient includes: Based on the current location information, determine the current area where the target patient is staying and its corresponding functional nature, and based on the determined medical information of the target patient, determine the corresponding routine treatment plan for the target patient; Based on the functional characteristics of the area and the conventional supporting treatment plan, determine whether the target patient meets the preset basic treatment implementation conditions. When it is determined that the target patient meets the basic treatment conditions, the target patient is determined to meet the preset indirect waiting conditions for medical treatment. When it is determined that the target patient does not meet the basic treatment conditions, it is determined that the target patient does not meet the preset indirect waiting conditions for medical treatment. And, the step of determining whether the target patient meets the preset basic treatment implementation conditions based on the functional properties of the region and the conventional supporting treatment plan includes: Based on the functional characteristics of the area, determine whether the current area of ​​stay meets the preset conditions for implementing routine medical services; When it is determined that the current area of ​​stay does not meet the conditions for implementing the routine medical treatment, it is determined that the target patient does not meet the preset conditions for implementing basic medical treatment. When it is determined that the current area meets the conditions for implementing the routine medical services, the probability of the target patient being in the routine related medical treatment / event handling process is determined based on the functional nature of the area and the routine supporting treatment plan. Based on the likelihood of the experience, determine whether the target patient is in a preset state of receiving treatment / event management; When it is determined that the target patient is in the state of receiving treatment / event handling, it is determined that the target patient meets the preset basic conditions for implementing treatment. When it is determined that the target patient is not in the state of receiving treatment / event handling, it is determined that the target patient does not meet the preset basic conditions for implementing treatment. Specifically, when the regional functional properties indicate that the current area provides the target service and the standard supporting treatment plan indicates that the target service is required, the likelihood of the experience is determined to be greater than or equal to a preset likelihood threshold, thereby determining that the target patient is in a preset state of receiving treatment / event handling; when the regional functional properties indicate that the current area does not provide the target service and / or the standard supporting treatment plan indicates that the target service is not required, the likelihood of the experience is determined to be less than a preset likelihood threshold, thereby determining that the target patient is not in a preset state of receiving treatment / event handling.

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

3. The intelligent hospital patient service method based on multimodal location awareness according to claim 1, characterized in that, The step of determining whether the target patient meets the preset conditions for direct waiting for treatment based on the current location information and the specific treatment area includes: Based on the current location information and the specific 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 location conditions, it is determined that the target patient does not meet the preset direct waiting conditions for treatment; When it is determined that the target patient meets the waiting location conditions, it is determined that the target patient meets the preset direct waiting conditions for treatment; Furthermore, the method further includes: When it is determined that the target patient meets the waiting location conditions, the first requirement for the target patient to perform the waiting check-in operation and / or the second requirement for the target patient to perform the consultation and treatment operation are determined. Based on the satisfaction status of the first demand and / or the satisfaction status of the second demand, determine whether the target patient meets the preset objective waiting requirements. When it is determined that the target patient meets the objective waiting requirements, the target patient is determined to meet the preset direct waiting conditions for treatment. When it is determined that the target patient does not meet the objective waiting requirements, it is determined that the target patient does not meet the preset direct waiting conditions for treatment.

4. A hospital patient intelligent service system based on multimodal location perception, characterized in that, The system is used to execute the intelligent hospital patient service method based on multimodal location awareness as described in any one of claims 1-3, and the system comprises: The location information determination module is used to 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; The judgment module is used to determine, based on the current location information, whether the target patient meets the preset automatic queuing inclusion conditions for the hospital scenario; An automatic queuing execution module is used to perform a corresponding automatic queuing system inclusion operation on the target patient when the judgment module determines that the target patient meets the automatic queuing inclusion conditions.

5. A hospital patient intelligent service system based on multimodal location perception, characterized in that, The system includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent hospital patient service method based on multimodal location awareness as described in any one of claims 1-3.

6. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the intelligent hospital patient service method based on multimodal location awareness as described in any one of claims 1-3.

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