MACHINE LEARNING ASSISTED HEALTHCARE NAVIGATION DEVICE

Abstract

The present invention discloses a navigation device for healthcare settings utilizes a machine learning (ML) algorithm. The healthcare navigation device consists of a navigation device (1), a user interface (2), a user (3), an application server (4), a cloud server (5) and a clinical environment (6). Said application server (4) connected with a user specific module (21) coupled to microcontroller unit (11), a transceiver unit (12), a camera (13) and a speaker and audio unit (14). Said user-specific modules (21) designed to meet the needs of patients, visitors, clinicians, and hospital staff. The user specific modules (21) comprises of four main modules: Patient support module (22), Visitor support module (23), Clinician’s Desk Board (24), and Healthcare support module (25). The healthcare navigation device offers a comprehensive navigation solution by integrating advanced technologies and real-time data and solves the complexities of modern healthcare environments.

Specification

Description:FIELD OF THE INVENTION
[001] The present invention relates to the field of healthcare technology. Particularly, the present invention is to provide a device for users to navigate healthcare facilities. More particularly, the present invention integrates ML based algorithms for navigation with real-time data analytics.

BACKGROUND OF THE INVENTION
[002] Healthcare facilities such as hospitals, clinics, and diagnostic centres have increasingly become large, complex environments. These facilities are often spread across multiple buildings and floors, with diverse departments such as emergency rooms, intensive care units (ICUs), operating theatres, outpatient departments, and administrative offices. Each of these departments may be located at considerable distances from each other, requiring visitors, patients and even for clinicians to navigate through intricate layouts, sometimes involving long corridors, multiple elevators, or staircases.

[003] For patients, especially those who are new to the facility or who may have limited mobility or cognitive impairments, finding specific locations such as consulting rooms, diagnostic centres, or pharmacies can be a daunting task. This difficulty is often exacerbated by the fact that patients are already dealing with health concerns, which adds to their stress and frustration. Traditional navigation aids, such as printed maps or static directories, frequently become outdated or are not detailed enough to handle the dynamic nature of healthcare environments, leading to confusion and delays in receiving care.

[004] For most visitors, navigating these facilities can be overwhelming, especially during stressful situations such as medical emergencies or visits to unfamiliar departments. Visitors often face difficulties in finding the right departments, clinics, diagnostic centres, or even basic services like cafeterias, pharmacies, or restrooms. This problem is further compounded by the fact that many healthcare facilities receive hundreds or even thousands of visitors daily, leading to congestion in certain areas and difficulty in efficiently managing visitor flow.

[005] Healthcare professionals, including clinicians and hospital staff, encounter their own set of navigation-related issues. Managing patient flow, locating necessary medical equipment, and coordinating care effectively can be hampered by the facility's complexity and frequent changes. Traditional systems for tracking and managing these elements are often fragmented or inadequate, leading to inefficiencies and potential disruptions in patient care. Additionally, ensuring the security of sensitive patient data while maintaining easy access for authorized users is a significant concern.

[006] Healthcare facilities also face challenges in ensuring efficient visitor movement to avoid overcrowding in key areas such as waiting rooms or corridors. This has become especially important in the wake of the COVID-19 pandemic, where maintaining social distancing and minimizing unnecessary human interaction have become critical. Prior arts in the field often lack comprehensive integration of user-specific needs, advanced security features, and up-to-date navigation assistance, which limits the effectiveness of existing healthcare navigation tools.

[007] One of the prior arts KR20180062565A, relates to a hospital guide service method using beacon technology to provide navigation assistance to patients or their companions through a smartphone. The system guides users to their destination within the hospital using navigation images and provides various types of hospital information. The system heavily relies on the availability and functionality of beacons installed throughout the hospital. If any beacon malfunctions or lacks proper coverage, the navigation experience could be disrupted.

[008] Another prior art US20180358122A1 outlines a system and method for guiding patients in a hospital using a navigation device integrated with a mobile interface. The system provides real-time navigation, event scheduling, and patient management based on location and medical needs. It collects and analyzes patient data to offer personalized navigation and scheduling solutions. Wherein the absence of an AI/ ML algorithm in the navigation device would result in disadvantages such as reduced efficiency in navigation, lack of real-time data processing, and suboptimal resource allocation.

[009] In response to these issues, there is a need for an advanced navigation solution that integrates real-time data, adapts to dynamic changes, and provides comprehensive support for all users within a healthcare facility. Traditional navigation systems do not offer the level of adaptability and real-time updates required to effectively guide users through the complexities of modern healthcare environments.

OBJECTIVE OF THE INVENTION
[010] The main objective The main objective of the present invention is to provide a navigation device for healthcare system.

[011] Another objective of the present invention is to provide navigation device utilizing a ML based algorithms.

[012] Yet another objective of the invention is to provide a device aims to assist users, including patients, visitors, clinicians, healthcare providers and the like.

[013] Yet another objective of the invention is to provide a device designed to integrate real-time data, providing precise and accurate information.
[014] Still another objective of the invention is to create an inclusive environment that allows individuals to effortlessly access hospital services with ease.

SUMMARY OF THE INVENTION
[015] The following presents a simplified summary of the invention in order to provide a basic understanding of some aspects of the invention. This summary is not an extensive overview of the present invention or delineates the scope of the invention. Its sole purpose is to present some concept of the invention in a simplified form as a prelude to a more detailed description of the invention presented later.

[016] The present disclosure introduces a healthcare navigation device designed to enhance navigation within healthcare facilities. This summary provides a basic understanding of some aspects of the invention but does not encompass all elements or define the scope of the claimed subject matter. It aims to introduce key concepts in a simplified manner, setting the stage for a more detailed description that follows.

[017] According to the main aspect of the present invention, the healthcare navigation device of the present invention is designed to enhance navigation within a hospital or healthcare facility. It consists of a navigation device (1) equipped with a machine learning (ML) algorithm that processes and adapts to information about the clinical environment (6). This device includes a user interface (2) for interaction, which may feature touchscreen displays or other input/output modules, and an application server (4) that coordinates data from sensors, executes the ML algorithm, and provides real-time navigation instructions. The application server communicates with a cloud server (5) to access up-to-date information about the facility's layout and changes. Key components of the said application server (4) include a microcontroller unit (11) for managing hardware and processing data, a transceiver unit (12) for high-speed data transmission, a camera (13) for visual input to improve the ML algorithm's performance, and a speaker and audio unit (14) for voice-guided instructions.

[018] According to the another aspect of the present invention, said navigation device includes several user-specific modules (21): the patient support module (22) assists patients with appointment bookings, navigation, and accessing medical records; the visitor support module (23) helps visitors find patient rooms and essential facilities while checking visiting hours; the clinician's deskboard (24) supports healthcare professionals by providing real-time patient data and facilitating communication; and the healthcare support module (25) aids hospital staff in managing logistics, locating equipment, and responding to emergencies. Together, these components and modules provide a comprehensive solution to improve efficiency and user experience in healthcare environments.

BRIEF DECRIPTION OF THE DRAWINGS
[019] The above and other aspects, features, and advantages of certain exemplary embodiments of the present invention will be more apparent from the following description taken in conjunction with the accompanying drawings in which:

[020] Figure 1 illustrates the healthcare navigation device, in accordance with the main aspect of the present invention;

[021] Figure 2 illustrates a block diagram of a healthcare navigation device according to the present invention;

[022] Figure 3 shows the process flow executed by the device for the patient support module, detailing the steps involved in assisting patients as per the present invention.

[023] Figure 4 illustrates a flow diagram executed by the device for the visitor support module according to the present invention.

[024] Figure 5 illustrates a process flow executed for the clinician's desk board to manage clinical operations, in accordance with the present invention;
[025] Figure 6 provides a flow diagram executed by the device for the healthcare support module, in accordance with the aspect of the present invention.

DETAILED DESCRIPTION OF THE DRAWINGS
[026] The terms and words used in the following description and claims are not limited to the bibliographical meanings, but, are merely used by the inventor to enable a clear and consistent understanding of the invention. Accordingly, it should be apparent to those skilled in the art that the following description of exemplary embodiments of the present invention are provided for illustration purposes only and not for the purpose of limiting the invention as defined by the appended claims and their equivalents.

[027] According to an embodiment of the present invention, Figure 1 illustrates the healthcare navigation device, in accordance with the main aspect of the present invention. The healthcare navigation device consists of a navigation device (1), a user interface (2), a user (3), an application server (4), a cloud server (5) and a clinical environment (6). Said application server (4) serves as the central processing unit of the navigation system. It is responsible for coordinating the data from various sensors, executing the machine learning algorithm, and delivering navigation instructions to the user (3) via the user interface (2). The server communicates directly with the cloud server (5) to retrieve real-time updates about the clinical environment (6). The clinical environment (6) refers to the physical space of the hospital or healthcare facility.

[028] According to the embodiment of the present invention, figure 2 illustrates a block diagram of a healthcare navigation device according to the present invention consists of said navigation device (1) incorporates a machine learning algorithm that processes information about said clinical environment (6) to the user. The ML algorithm continuously learns and adapts to new data inputs, including environmental changes or user preferences. The device is equipped with the user interface (2), which could include a touchscreen display or other input/output modules, enabling users to input their destination or preferences and receive real-time guidance. Said application server (4) connected with a user specific module (20) coupled to microcontroller unit (11), a transceiver unit (12), a camera (13) and a speaker and audio unit (14). Said cloud server (5) is connected to the hospital's database (31) and stores up-to-date information about the facility layout, departmental configurations, and any ongoing changes. The microcontroller unit (11) integrated into the application server (4) controls the hardware components and ensures smooth functioning of the navigation device. It regulates power usage, manages input from sensors, and helps process data in collaboration with the ML algorithm. Said transceiver unit supports high-speed data transmission, ensuring that navigation instructions and environment updates are exchanged seamlessly and in real time. The camera (13) is integrated into the navigation device (1) to provide visual input for enhancing the ML algorithm's performance. The camera may capture images or video of the surrounding indoor environment to help the ML algorithm identify landmarks, signs, or obstacles that may affect navigation. The speaker and audio unit (14) serves as an additional mode of interaction, enabling the navigation device to provide voice-guided instructions to the user (3). This feature enhances usability for visually impaired users or those who prefer auditory guidance.

[029] Another embodiment of the present invention, said user specific modules (21) for the healthcare navigation device consists of four main modules: All four modules-Patient support module (22), Visitor support module (23), Clinician's Desk Board (24), and Healthcare support module (25) -are designed to seamlessly integrate with the hospital's internal systems via the application server (4) and cloud server (5). The system uses machine learning (ML) algorithms to dynamically adjust to changes in the hospital environment, such as room reassignments, patient flow, and equipment availability.

[030] Figure 3 shows the process flow executed by the device for the patient support module, detailing the steps involved in assisting patients within the healthcare facility. Another embodiment of the present invention, said patient support module (22) is specifically designed to cater to the needs of patients within the hospital. Patients can book or review their appointment schedules with doctors or specialists directly through the system. The module uses real-time navigation to guide patients from their current location to specific areas such as consulting rooms, diagnostic centres, pharmacies, or inpatient wards. Patients can access their medical records or receive relevant health information, ensuring they are informed about their condition, treatment plans, and next steps. The module provides an emergency contact feature, which allows patients to quickly reach hospital staff in case of an urgent situation. The user interface is designed to be accessible in multiple languages, accommodating patients from diverse linguistic backgrounds.

[031] Figure 4 illustrates the flow diagram for the visitor support module, outlining the procedures and interactions involved in supporting visitors navigating the healthcare environment. Yet another embodiment of the present invention, said visitor support module (23) is intended for people visiting patients in the hospital. Visitors often struggle to navigate large and complex healthcare facilities. This module is designed to simplify that process by offering features such as: Visitors can input the patient's name or room number into the system, and the module will generate the quickest route to their destination, using real-time navigation. This module helps visitors locate essential facilities like the cafeteria, restrooms, elevators, and parking areas, ensuring a smooth and stress-free visit. Visitors can check visiting hours and plan their visits based on the hospital's guidelines, ensuring they are compliant with rules for patient interaction. The system allows visitors to check in at the hospital and notify the patient or hospital staff of their arrival, streamlining the process of visiting patients.

[032] Figure 5 depicts the process flow for the clinician's desk board, demonstrating the device facilitates the management of clinical operations and patient data. Yet another embodiment of the present invention, said clinician's desk board (24) is a comprehensive module designed to support the daily operations of healthcare professionals. It provides real-time data and assists in managing patient care effectively by offering the following functionalities: Clinicians can view patient locations in real time, allowing them to efficiently manage appointments, monitor patient flow through different departments. This module helps clinicians manage their schedules, view upcoming appointments, and set reminders for tasks such as follow-up calls or critical tests. The clinician's desk board provides seamless access to patient medical records, test results, and other essential information that clinicians need to make informed decisions quickly. The module integrates messaging or communication features that allow clinicians to quickly communicate with other staff members, nurses, or support personnel regarding patient care, equipment needs, or logistical concerns. Clinicians can receive real-time alerts about critical patient situations (e.g., a patient in distress or an urgent medical issue), allowing them to take timely action.

[033] Figure 6 provides a flow diagram for the healthcare support module, illustrating the operational processes and support functions for hospital staff. Still another embodiment of the present invention, said healthcare support module (25) is tailored for hospital staff, including nurses, technicians, and administrative personnel. It provides essential tools for managing hospital logistics, patient care, and resources in real time. The healthcare support module helps staff locate critical medical equipment (e.g., wheelchairs, diagnostic devices) within the hospital, ensuring that they are quickly accessible when needed. Hospital staff can use the module to manage the transportation of patients between departments, such as from the emergency department to surgery or from the ward to radiology. The module provides real-time updates on the availability of beds, operating rooms, and other key hospital resources, allowing staff to optimize their use. Nurses and other healthcare workers can use the module to receive task assignments and update their status upon completion. Staff members can receive alerts about patient emergencies, equipment failures, or other critical situations, ensuring they can respond quickly and efficiently.

[034] The present invention addresses the key challenges in healthcare settings by introducing a healthcare navigation device that utilizes machine learning algorithms, real-time data integration, and user-specific modules to enhance navigation and operational efficiency within healthcare facilities. By incorporating advanced technology and dynamic information processing, the device provides tailored support for patients, visitors, clinicians, and hospital staff, improving the overall user experience and ensuring smoother navigation throughout the facility.
, Claims:WE CLAIM;
1. A Machine learning assisted healthcare navigation device (1), said device (1) comprising of an application server (4) is connected to a user (3) through user interface (2) in the navigation device and a cloud server (5);
- wherein said navigation device (1) incorporates a ML algorithm for navigation;
- wherein said application server (4) connected with a user specific module (21) coupled to microcontroller unit (11), a transceiver unit (12), a camera (13) and a speaker and audio unit (14);
- wherein said cloud server (5) connected to a database (31) via network (7) in the clinical environment (6).

2. The healthcare navigation device as claimed in claim 1, wherein said application server provides navigation assistance within the hospital environment for users, including patients, visitors, and clinicians.

3. The healthcare navigation device as claimed in claim 1, wherein the user specific modules provides real-time access to patient medical records, including health history, lab results, and ongoing treatments through the various modules (21).

4. The healthcare navigation device as claimed in claim 1, wherein said user specific modules (21) comprises of Patient support module(22), Visitor Support Module (23), Clinician's Desk Board (24), and Healthcare Support Module (25).

5. The healthcare navigation device as claimed in claim 1, wherein the camera (13) incorporates biometric authentication to securely access patient information.

6. The healthcare navigation device as claimed in claim 1, wherein the cloud server (6) is connected to a secure hospital database (31) that stores patient records, treatment plans, and resource data.

7. The healthcare navigation device as claimed in claim 1, wherein the database (31) includes location-based healthcare provider information and is updated regularly to reflect real-time availability of services.

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