Description:AN INTEGRATED AMBULANCE MONITORING SYSTEM AND METHOD FOR ENHANCED EMERGENCY CARE
FIELD OF DISCLOSURE
[0001] The present disclosure relates generally to a technology for enhancing emergency medical services, more specifically, to an integrated ambulance monitoring system and method for enhanced emergency care that integrates various sensors, communication modules, and data analysis algorithms to improve the efficiency and effectiveness of ambulance operations, ensuring timely and quality care delivery during emergencies.
BACKGROUND OF THE DISCLOSURE
[0002] In the realm of emergency medical services, the need for an integrated ambulance monitoring system and method for enhanced emergency care has become increasingly evident. Traditional ambulance systems often lack the sophistication and comprehensive monitoring capabilities required to address the evolving challenges faced in emergency situations. These systems typically rely on manual processes and outdated technologies, which can lead to inefficiencies and suboptimal patient care outcomes.
[0003] Current ambulance monitoring systems are often fragmented, with separate components for tracking ambulance location, monitoring patient vitals, and communicating with medical facilities. This fragmented approach can result in delays in communication, inadequate monitoring of patient conditions, and inefficient routing of ambulances. Additionally, these systems may not be equipped to handle the complexities of modern healthcare systems, such as the need for real-time data analysis and integration with hospital management systems.
[0004] Moreover, traditional ambulance systems are often redundant in the context of modern healthcare needs. With the increasing emphasis on data-driven decision-making and the integration of technology into healthcare delivery, there is a growing need for ambulance monitoring systems that can provide real-time data on ambulance and patient conditions, facilitate seamless communication between ambulance staff and medical facilities, and ensure the efficient use of resources.
[0005] Thus, in light of the above shortcomings, there is a clear need for a new integrated ambulance monitoring system and method for enhanced emergency care. Such a system would incorporate advanced sensors for monitoring ambulance and patient conditions, robust communication capabilities for seamless data transmission, and intelligent algorithms for real-time data analysis and decision support. By addressing these key challenges, a new integrated ambulance monitoring system and method has the potential to significantly improve the efficiency and effectiveness of emergency medical services, ultimately leading to better patient outcomes.
SUMMARY OF THE DISCLOSURE
[0006] The following is a summary description of illustrative embodiments of the invention. It is provided as a preface to assist those skilled in the art to more rapidly assimilate the detailed design discussion which ensues and is not intended in any way to limit the scope of the claims which are appended hereto in order to particularly point out the invention.
[0007] According to illustrative embodiments, the present disclosure focuses on an Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care which overcomes the above-mentioned disadvantages or provide the users with a useful or commercial choice.
[0008] The present disclosure solves all the above major limitations of traditional systems.
[0009] An objective of the present disclosure is to introduce a novel integrated ambulance monitoring system and method for enhanced emergency care, addressing the limitations of traditional ambulance systems and improving the efficiency and effectiveness of emergency medical services.
[0010] Another objective of the present disclosure is to provide a comprehensive solution that integrates advanced sensors, communication technologies, and data analysis algorithms to monitor ambulance and patient conditions in real-time, facilitate seamless communication between ambulance staff and medical facilities, and optimize resource allocation and response times.
[0011] Yet another objective of the present disclosure is to enhance patient outcomes by enabling proactive interventions, timely communication, and informed decision-making based on real-time data insights, ultimately improving the quality of care provided during emergency situations.
[0012] In light of the above, in one aspect of the present disclosure, an integrated ambulance monitoring system and method for enhanced emergency care is disclosed herein. The system includes various modules such as sensors module, capturing module, electronics integration module, central control unit, communication module, power supply units, alarm module, and display module, each offering specific functionalities. These components encompass features like monitoring oxygen levels and cabin temperature, providing comprehensive camera coverage, processing sensor data, optimizing ambulance routing, ensuring stable communication, supplying power, indicating critical alerts visually, and presenting real-time information to ambulance staff. The method comprises steps including data acquisition, data transmission, data processing and analysis, decision support and intervention, and information dissemination, which further enhance the system's capabilities by collecting real-time data, establishing secure internet connections, analysing data trends, generating alerts and recommendations, and providing real-time updates to relevant stakeholders.
[0013] In one embodiment, the sensors module is configured to collect real-time data on various ambulance and patient conditions.
[0014] In one embodiment, the capturing module is configured to capture live video feeds of the ambulance interior for remote monitoring.
[0015] In one embodiment, the electronics integration module is configured to integrate and manage the electronic components of the system.
[0016] In one embodiment, the central control unit is configured to oversee and coordinate the operations of the entire system.
[0017] In one embodiment, the communication module is configured to establish and maintain communication between the ambulance and external systems.
[0018] In one embodiment, the power supply units are configured to provide stable power to all components of the system.
[0019] In one embodiment, the alarm module is configured to generate alerts for critical situations such as low oxygen levels or unsafe driving practices.
[0020] In one embodiment, the display module is configured to present relevant information to ambulance staff in real-time.
[0021] In one embodiment, the collecting real-time data on various ambulance and patient conditions through data acquisition.
[0022] In one embodiment, the transmitting collected data securely via an internet connection through data transmission.
[0023] In one embodiment, the processing and analysing collected data to identify trends and trigger alerts through data processing and analysis.
[0024] In one embodiment, the providing decision support and intervention based on processed data through decision support and intervention.
[0025] In one embodiment, the disseminating information to relevant stakeholders through information dissemination.
[0026] These and other advantages will be apparent from the present application of the embodiments described herein.
[0027] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
[0028] These elements, together with the other aspects of the present disclosure and various features are pointed out with particularity in the claims annexed hereto and form a part of the present disclosure. For a better understanding of the present disclosure, its operating advantages, and the specified object attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated exemplary embodiments of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0029] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the following briefly describes the accompanying drawings required for describing the embodiments or the prior art. Apparently, the accompanying drawings in the following description merely show some embodiments of the present disclosure, and a person of ordinary skill in the art can derive other implementations from these accompanying drawings without creative efforts. All of the embodiments or the implementations shall fall within the protection scope of the present disclosure.
[0030] The advantages and features of the present disclosure will become better understood with reference to the following detailed description taken in conjunction with the accompanying drawing, in which:
[0031] FIG. 1 illustrates a block diagram of an Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care, in accordance with an exemplary embodiment of the present disclosure;
[0032] FIG. 2 illustrates successive stages of Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care, in accordance with an exemplary embodiment of the present disclosure;
[0033] FIG. 3 illustrates a block diagram of an Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care, in accordance with an exemplary embodiment of the present disclosure;
[0034] FIG. 4 illustrates successive stages of Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care, in accordance with an exemplary embodiment of the present disclosure;
[0035] FIG. 5 illustrates a block diagram of an Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care, in accordance with an exemplary embodiment of the present disclosure;
[0036] FIG. 6 illustrates successive stages of Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care, in accordance with an exemplary embodiment of the present disclosure;
[0037] FIG. 7 illustrates the assembly of the Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care, showcasing the integration of various components, including the sensors module, central control unit, alarm module, power supply units, communication module, electronics integration module, display module and so forth;
[0038] FIG. 8 illustrates the installation process of the Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care, depicting the mounting and arrangement of components within the ambulance cabin, ensuring optimal functionality and efficiency;
[0039] FIG. 9 illustrates the setup process of the Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care, showcasing the configuration and connection of components to ensure seamless operation and data flow within the system;
[0040] FIG. 10 illustrates the sensors' working process of the Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care, demonstrating the real-time data collection and monitoring of various ambulance and patient conditions to ensure timely and effective emergency response;
[0041] FIG. 11 illustrates the alert and monitoring at the patient side of the Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care, showcasing the system's capability to provide real-time alerts and monitoring of patient vitals and conditions during transit;
[0042] FIG. 12 illustrates the camera module of the Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care, demonstrating the internal processes and functionalities of the system's surveillance capabilities for monitoring the ambulance interior in real-time.
[0043] Like reference, numerals refer to like parts throughout the description of several views of the drawing.
[0044] The Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care is illustrated in the accompanying drawings, which like reference letters indicate corresponding parts in the various figures. It should be noted that the accompanying figure is intended to present illustrations of exemplary embodiments of the present disclosure. This figure is not intended to limit the scope of the present disclosure. It should also be noted that the accompanying figure is not necessarily drawn to scale.
DETAILED DESCRIPTION OF THE DISCLOSURE
[0045] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure.
[0046] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[0047] Various terms as used herein are shown below. To the extent a term is used, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0048] The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items.
[0049] The terms “having”, “comprising”, “including”, and variations thereof signify the presence of a component.
[0050] The system 100 may include various modules such as sensors module 102, capturing module 104, electronics integration module 106, central control unit 108, communication module 110, power supply units 112, alarm module 114, and display module 116, and so forth. These components encompass features like monitoring oxygen levels and cabin temperature, providing comprehensive camera coverage, processing sensor data, optimizing ambulance routing, ensuring stable communication, supplying power, indicating critical alerts visually, and presenting real-time information to ambulance staff. The method 300 comprises steps including data acquisition 302, data transmission 304, data processing and analysis 306, decision support and intervention 308, and information dissemination 310, which further enhance the system's capabilities by collecting real-time data, establishing secure internet connections, analyzing data trends, generating alerts and recommendations, and providing real-time updates to relevant stakeholders.
[0051] The sensors module 102 further comprises sensors for monitoring oxygen levels 102a, cabin temperature sensor 102b, and air quality sensor102c.
[0052] The capturing module 104 further comprises cameras positioned to provide comprehensive coverage of the ambulance interior.
[0053] The electronics integration module 106 further comprises microcontrollers for processing sensor data and managing system operations such as ESP 32 106a.
[0054] The central control unit 108 further comprises algorithms for optimizing ambulance routing and dispatch.
[0055] The communication module 110 further comprises sim-based routers 110a for ensuring stable communication.
[0056] The power supply units 112 further comprise 12v unit 112a and 5v unit 112b dc adapters for continuous operation.
[0057] The alarm module 114 further comprises led alert lights 108a for visual indication of critical alerts.
[0058] The display module 116 further comprises an OLED display 116a for presenting real-time information to ambulance staff.
[0059] The data acquisition 202 step further comprises utilizing sensors to collect real-time data on various ambulance and patient conditions.
[0060] The data transmission 204 step further comprises establishing a secure internet connection for transmitting collected data.
[0061] The data processing and analysis 206 step further comprises employing algorithms to analyse collected data and identify trends.
[0062] The decision support and intervention 208 step further comprises generating alerts and recommendations based on processed data.
[0063] The information dissemination 210 step further comprises providing real-time updates to relevant stakeholders.
[0064] The sensors module 102 is configured to collect real-time data on various ambulance and patient conditions. It comprises a GPS 102e sensor for tracking ambulance positioning and speed, ensuring accurate location updates. An air quality 102c sensor monitors cabin air quality, detecting pollutants and ensuring a healthy environment for the patient. An alcohol sensor within the Breath Analyser 102d feature detects alcohol presence in the driver's cabin, ensuring safe driving practices. Temperature and humidity sensors 102b maintain optimal cabin conditions for patient comfort and well-being. A pressure transducer 102a measures oxygen levels in the tank, triggering alerts for refills when levels are low. Additionally, a magneto meter 102f and gyroscope 102g are employed in jerk detection, providing data on vehicle movement and detecting abnormal vibrations or jerks within the ambulance cabin.
[0065] The capturing module 104 is configured to capture live video feeds of the ambulance interior for remote monitoring. It comprises a high-resolution camera positioned strategically within the ambulance cabin, providing comprehensive coverage of the patient area. The camera is connected to the electronics integration module 106, facilitating seamless integration with other components of the system. Through real-time video transmission, the capturing module enables remote monitoring and assessment of patient conditions by hospital staff and family members. Additionally, the captured video feed can be accessed securely via the communication module 110, which establishes and maintains communication between the ambulance and external systems. This allows for timely intervention and coordination of medical assistance based on the observed patient condition. Moreover, the capturing module plays a crucial role in ensuring transparency and accountability in ambulance operations by providing visual documentation of the patient care environment.
[0066] The central control unit 106 is configured to oversee and coordinate the operations of the entire system. It serves as the brain of the Integrated Ambulance Monitoring System, receiving data from various sensors and modules. The central control unit analyses incoming data to make informed decisions and trigger appropriate actions. It communicates with the sensors module 102 to collect real-time data on ambulance and patient conditions, such as oxygen levels, cabin temperature, and air quality. Additionally, the central control unit interacts with the capturing module 104 to receive live video feeds of the ambulance interior for remote monitoring. It integrates with the electronics integration module 108 to manage the electronic components of the system efficiently. The central control unit also interacts with the communication module 110 to establish and maintain communication between the ambulance and external systems, such as hospital management systems and emergency response centres. Furthermore, it collaborates with the power supply units 112 to ensure stable power distribution to all components of the system, preventing disruptions in operation. Overall, the central control unit plays a pivotal role in orchestrating the functions of the Integrated Ambulance Monitoring System, enabling enhanced emergency care and efficient ambulance operations.
[0067] The alarm module 108 is configured to generate alerts for critical situations such as low oxygen levels or unsafe driving practices. It works in conjunction with the sensors module 102 to monitor various parameters within the ambulance and detect abnormalities or emergencies. When triggered by predefined thresholds or conditions, the alarm module activates visual and auditory alerts to notify ambulance staff and relevant authorities. It communicates with the central control unit 106 to receive instructions and coordinate response actions.
[0068] Additionally, the alarm module interfaces with the communication module 110 to transmit alert signals to external systems, such as hospital management systems or emergency dispatch centres. It collaborates with the power supply units 112 to ensure continuous operation and reliable alert functionality, even in challenging environments or power failure scenarios. Overall, the alarm module plays a crucial role in enhancing the safety and responsiveness of the Integrated Ambulance Monitoring System, ensuring timely interventions and improved emergency care.
[0069] The power supply units 110 are configured to provide stable and reliable power to all components of the Integrated Ambulance Monitoring System. They work in tandem with the central control unit 106 to ensure uninterrupted operation of the system during emergency situations. Each power supply unit is designed to handle the specific voltage and current requirements of the connected components, including the sensors module 102, capturing module 104, communication module 112, and display module 116. These units utilize advanced power management techniques to optimize energy efficiency and extend the system's operating time on battery power.
[0070] Additionally, the power supply units incorporate built-in safeguards such as overvoltage protection, overcurrent protection, and short-circuit protection to prevent damage to the system components and ensure operational safety. They are equipped with redundant power sources, such as backup batteries or generators, to provide backup power in case of mains power failure or other emergencies. The power supply units interface with the alarm module 108 to monitor power status and trigger alerts in case of power supply abnormalities or failures. Furthermore, they collaborate with the electronics integration module 114 to distribute power efficiently and manage power consumption across the system. Overall, the power supply units play a critical role in maintaining the reliability and functionality of the Integrated Ambulance Monitoring System, ensuring continuous operation and timely response to emergency situations.
[0071] The communication module 112 is configured to establish and maintain seamless communication between the ambulance and external systems, facilitating real-time data exchange and remote monitoring capabilities. It works in conjunction with the central control unit 106 to manage data transmission and reception across the system.
[0072] The communication module utilizes advanced networking protocols and technologies, such as Wi-Fi, cellular, or satellite communication, to ensure reliable connectivity even in remote or challenging environments. It interfaces with the sensors module 102 to transmit sensor data, including vital signs, environmental conditions, and vehicle telemetry, to the designated monitoring centres or hospital systems. Additionally, the communication module collaborates with the capturing module 104 to stream live video feeds of the ambulance interior for remote monitoring by medical professionals or emergency responders and family members. It interfaces with the power supply units 110 to ensure continuous operation and uninterrupted communication, even during power fluctuations or outages.
[0073] Furthermore, the communication module integrates with the alarm module 108 to receive alerts and notifications regarding critical events or emergency situations, enabling prompt response and intervention. It also interfaces with the display module 116 to receive commands or instructions from ambulance staff and provide feedback or status updates as required. Overall, the communication module plays a crucial role in facilitating effective communication and coordination during emergency operations, enhancing the efficiency and responsiveness of the Integrated Ambulance Monitoring System.
[0074] The electronics integration module 114 is configured to manage and integrate the electronic components of the system, ensuring seamless operation and communication among different modules. It interfaces with the sensors module 102 to receive real-time data on various ambulance and patient conditions, including vital signs, environmental parameters, and vehicle telemetry.
[0075] Additionally, the electronics integration module collaborates with the capturing module 104 to process and analyse live video feeds of the ambulance interior for remote monitoring and assessment. It works in conjunction with the central control unit 106 to coordinate the operations of the entire system, including data transmission, alert generation, and response management. The electronics integration module interfaces with the communication module 112 to facilitate communication between the ambulance and external systems, enabling real-time data exchange and remote monitoring capabilities. It also interacts with the power supply units 110 to ensure stable power supply to all components of the system, minimizing the risk of downtime or interruption. Furthermore, the electronics integration module integrates with the alarm module 108 to receive and process alerts regarding critical events or emergency situations, triggering appropriate responses as necessary. It interfaces with the display module 116 to present relevant information to ambulance staff in real-time, providing feedback or status updates as required. Overall, the electronics integration module plays a vital role in orchestrating the functions of the Integrated Ambulance Monitoring System, ensuring efficient operation and effective communication during emergency scenarios.
[0076] The display module 116 is configured to present relevant information to ambulance staff in real-time, providing feedback or status updates as required. It interfaces with the electronics integration module 114 to receive processed data and instructions for display, including sensor readings, alert notifications, and system status reports. Additionally, the display module collaborates with the central control unit 106 to receive commands or directives regarding emergency response procedures, route adjustments, or patient care protocols. It interacts with the communication module 112 to display information related to communication status, including network connectivity, data transmission rates, and message acknowledgments.
[0077] The display module also interfaces with the capturing module 104 to showcase live video feeds of the ambulance interior for monitoring and assessment by medical personnel or dispatch operators. Furthermore, it works in conjunction with the alarm module 108 to visually indicate critical alerts or emergency situations, prompting immediate attention and action from ambulance staff. The display module ensures clear and intuitive presentation of information, utilizing graphical interfaces, text-based prompts, and status indicators to facilitate quick decision-making and response during emergency scenarios. It collaborates with the power supply units 110 to ensure continuous operation, adjusting brightness levels or power-saving features as necessary to conserve energy without compromising visibility. Overall, the display module plays a crucial role in providing situational awareness and facilitating effective communication within the Integrated Ambulance Monitoring System, enhancing the efficiency and responsiveness of emergency care delivery.
[0078] In the step of data acquisition 302, the method 300 involves the collection of real-time data pertaining to various ambulance and patient conditions. This includes gathering information on parameters such as oxygen levels, cabin temperature, air quality, patient vitals, and vehicle status. The data acquisition 302 step utilizes sensors integrated within the ambulance to continuously monitor these conditions throughout the duration of the emergency transport.
[0079] Additionally, data acquisition 302 involves the retrieval of location-based data, providing real-time tracking and positioning information of the ambulance. This step plays a crucial role in ensuring comprehensive monitoring and assessment of the ambulance environment, enabling timely interventions and informed decision-making during emergency situations.
[0080] In the step of data transmission 304, method 300 involves securely transmitting the collected data from the ambulance to external systems via an internet connection. This transmission process ensures the timely and reliable delivery of real-time data to designated endpoints, such as hospital servers or cloud-based platforms. The data transmission 304 step utilizes communication protocols and encryption mechanisms to safeguard the integrity and confidentiality of the transmitted data. It encompasses the establishment and maintenance of a stable and secure connection between the ambulance and the external systems, facilitating seamless communication throughout the duration of the emergency transport. Additionally, data transmission 304 involves optimizing the transmission rates to minimize latency and ensure efficient data transfer, especially in high-stress emergency scenarios where timely information is critical. This step plays a vital role in enabling remote monitoring, real-time decision-making, and collaboration between ambulance operators and medical professionals, ultimately enhancing the overall effectiveness and efficiency of emergency care delivery.
[0081] In the step of data processing and analysis 306, method 300 involves the comprehensive examination and interpretation of the collected data to extract valuable insights and inform decision-making processes. This step encompasses various computational techniques and analytical methods aimed at identifying patterns, trends, anomalies, and correlations within the dataset. In data processing and analysis 306, method 300 employs algorithms and statistical models to process raw data from sensors and other sources, transforming it into meaningful information that can be utilized for actionable insights. This includes tasks such as data cleansing, normalization, feature extraction, and statistical analysis to ensure the accuracy and reliability of the processed data. Additionally, method 300 utilizes machine learning and artificial intelligence techniques to perform advanced data analysis, predictive modelling, and anomaly detection, enabling the identification of potential issues or emergent patterns in real-time. The data processing and analysis 306 step integrates data from multiple sources, including sensor readings, patient records, environmental conditions, and vehicle telemetry, to provide a comprehensive understanding of the emergency situation.
[0082] Furthermore, method 300 incorporates domain-specific knowledge and expertise to contextualize the analysed data and derive meaningful interpretations relevant to emergency care scenarios. Overall, data processing and analysis 306 play a crucial role in transforming raw data into actionable insights, facilitating informed decision-making, and enhancing the efficiency and effectiveness of emergency care delivery within the Integrated Ambulance Monitoring System.
[0083] In the step of decision support and intervention 308, method 300 involves the utilization of processed data and insights to provide actionable recommendations and interventions aimed at optimizing emergency care delivery. In decision support and intervention 308, method 300 employs advanced algorithms and decision-making frameworks to analyse the processed data and identify relevant patterns, trends, and anomalies indicative of critical situations or opportunities for intervention. This step integrates data from various sources, including sensor readings, patient records, environmental conditions, and historical trends, to generate real-time insights into the emergency scenario.
[0084] Method 300 utilizes machine learning and artificial intelligence techniques to predict potential outcomes, recommend appropriate courses of action, and trigger automated responses based on predefined rules and protocols. Decision support and intervention 308 facilitate timely and informed decision-making by providing ambulance staff and medical professionals with actionable recommendations and alerts regarding patient care, route optimization, resource allocation, and emergency response procedures. Method 300 also enables proactive interventions to mitigate risks, address emerging issues, and optimize resource utilization in real-time. Furthermore, decision support and intervention 308 facilitate seamless coordination and communication between ambulance operators, medical personnel, and other stakeholders involved in emergency care delivery. By leveraging data-driven insights and automated decision support systems, method 300 enhances the efficiency, effectiveness, and responsiveness of emergency care within the Integrated Ambulance Monitoring System.
[0085] In the step of information dissemination 310, method 300 facilitates the efficient sharing and distribution of relevant data, insights, and alerts to stakeholders involved in emergency care delivery. In information dissemination 310, method 300 utilizes a variety of communication channels and protocols to ensure timely and accurate transmission of information to relevant parties. This step involves the integration of data from various sources, including sensor readings, patient records, and system logs, to generate comprehensive reports, notifications, and updates. Method 300 employs secure and reliable communication technologies, such as wireless networks, cellular connections, and encrypted data transmission protocols, to transmit information securely over short and long distances. Information dissemination 310 enables real-time monitoring and tracking of ambulance status, patient condition, and environmental parameters by providing stakeholders with access to relevant data and insights through web-based dashboards, mobile applications, and other digital platforms.
[0086] Method 300 also supports bidirectional communication between ambulance operators, medical personnel, and hospital staff, allowing for seamless collaboration, coordination, and decision-making during emergency situations. Furthermore, information dissemination 310 includes features for customizable alerts, notifications, and reporting mechanisms to ensure that stakeholders receive timely updates and actionable insights based on their roles and responsibilities. By facilitating effective communication and information sharing, method 300 enhances situational awareness, decision-making, and response coordination within the Integrated Ambulance Monitoring System.
[0087] FIG. 7 illustrates the the assembly process for the Integrated Ambulance Monitoring System 100 and Method 300 for Enhanced Emergency Care. It follows a multistep approach as depicted in the flowchart. It begins with defining the functionalities and requirements 702 followed by selecting the necessary hardware and software components 704 like sensors 706, microcontrollers 708. Specific microcontrollers and sensors are chosen based on compatibility and functionalities. These sensors and microcontrollers are then connected to ensure proper communication 710. The PCB layout, housing all the electronic components, is designed 712. Next, a prototype is built for testing and debugging 714. This prototype is functionally tested to ensure it works as intended. This likely involves testing various functionalities like sensor data collection, communication, and power supply. If the prototype doesn’t function as expected, the process likely loops back to refine the design 712. In next step, a prototype of the system is assembled 718. This may involve soldering electronic components onto the PCB and connecting them according to the designed circuit. If the prototype functions correctly, this step involves installing the PCB, switches, LED lights, display, and power supply into the ambulance. This likely includes mounting the components securely and ensuring proper wiring 720. If successful, the microcontrollers are programmed with the necessary code for data processing and communication 726. Following this, the camera box 726 and breath analyser box 728 are connected to the main system for transmitting live video feed and driver sobriety. The final step shows the assembled an integrated ambulance monitoring system 100 and method 300 for enhanced emergency care sensor box. This likely represents the final product that would be installed inside an ambulance;
[0088] FIG. 8 illustrates the installation process of an integrated ambulance monitoring system 100 and method 300 for enhanced emergency care, the Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care. Initially, in step 802, the components of an integrated ambulance monitoring system 100 and method 300 for enhanced emergency care are carefully assembled according to the system specifications. Subsequently, in step 804, rigorous testing procedures are conducted to ensure the functionality and reliability of the system. If any issues arise during testing, the process loops back to the assembly stage for necessary adjustments. However, if the system passes the testing phase successfully, it proceeds to step 808 for installation. Moving forward, in steps 810 and 812, both basic life support and advanced life support functionalities are prepared in parallel. Additionally, step 814 involves identifying the optimal location within the ambulance for installing an integrated ambulance monitoring system 100 and method 300 for enhanced emergency care. Once the location is determined, steps 816 to 838 involve connecting all components using adapter cables and the ambulance battery to ensure seamless integration. At step 840, the connection is meticulously checked to verify if power is on or off. If the power is off, the process loops back to step 840 until the issue is resolved. Conversely, if the power is on, step 844 is initiated to check the functionality of the display. If the display operates correctly, step 846 displays the logo booting, indicating successful operation. Conversely, if any issues arise during display testing, the process returns to step 840 for troubleshooting. Finally, at step 848, the installation of an integrated ambulance monitoring system 100 and method 300 for enhanced emergency care is completed perfectly, ensuring that the system is ready to enhance emergency care within the ambulance environment;
[0089] FIG. 9 depicts the setup process of an integrated ambulance monitoring system 100 and method 300 for enhanced emergency care, the Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care. The sequence begins with step 902, initiating the system, followed by step 904, where the system powers on. Subsequently, in step 906, the microcontroller undergoes configuration to ensure proper functioning. Step 908 involves initializing serial communication, while step 910 focuses on setting up WIFI connectivity. At step 912, the system verifies whether WIFI is successfully connected. If not, step 914 attempts to reconnect, looping back to step 910 until a connection is established. Once WIFI connectivity is confirmed, the process advances to step 916. In step 918, the MQTT server is set, facilitating communication between devices. Next, step 920 involves initializing sensors to begin data collection. Step 922 includes Over-the-Air (OTA) settings for remote updates and maintenance. Moving forward to step 924, the system checks for potential issues, such as WIFI connection without MQTT connectivity. If such a problem arises, step 926 attempts to reconnect to the MQTT server.
[0090] However, if no connectivity issues are detected, the process proceeds to step 928 for LED initialization. Subsequently, at step 930, the CHIPL and an integrated ambulance monitoring system 100 and method 300 for enhanced emergency care logos boot, indicating successful system startup. Finally, step 932 marks the end of the setup process, with an integrated ambulance monitoring system 100 and method 300 for enhanced emergency care ready for operation;
[0091] Figure 10 of the Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care illustrates the sequential process of sensor operation within tan integrated ambulance monitoring system 100 and method 300 for enhanced emergency care system. The process initiates at 1002, followed by Over-The-Air (OTA) updates at 1004. The system then checks for GPS availability at 1006, branching to different paths depending on the result. If GPS is available, the system proceeds to verify GPS readings at 1008. If readings are present, it moves to 1010, labelled as 'GPS Values', indicating successful GPS data retrieval. Conversely, if GPS is unavailable at 1006, the system skips directly to 1012.
[0092] At 1012, the oxygen sensor reading is obtained, followed by another oxygen sensor reading at 1014. Subsequently, the system gathers ambient and temperature sensor readings at 1016, and magneto meter and gyro meter readings at 1018.
[0093] At 1020, the system checks the connection status with the MQTT server. If not connected, the system attempts reconnection at 1024 before proceeding to publish all sensor data to the server at 1022 upon successful connection. Moving forward, at 1026, the system checks if the SOS button is pressed. If not, it proceeds to 1030; if yes, location data is sent to the server at 1028 before advancing to 1030. Subsequently, the system verifies the status of the WIFI connection at 1030. If the connection is lost, reconnection to WIFI occurs at 1032; if not, the system moves directly to 1034.
[0094] At 1034, the system checks if the connection to the server is lost. If affirmative, the system reconnects to the server at 1036; if negative, it proceeds directly to 1038. At 1038, the system verifies if the OLED screen button is pressed. If yes, multiple sensor values are displayed on the screen at 1040. If not, the system proceeds to 1042, displaying the oxygen alert screen. Finally, the process ends at 1044, completing the sensor working process flow within an integrated ambulance monitoring system 100 and method 300 for enhanced emergency care system;
[0095] Figure 12 depicts the Camera module of an integrated ambulance monitoring system 100 and method 300 for enhanced emergency care. It follows a precise sequence of operations outlined in detail. At 1202, the Raspberry Pi Zero 2W boots up, followed by the loading of the operating system at 1204. The auto desktop file initiates at 1206, triggering custom operations, leading to the activation of the modified GUI at 1208. Subsequently, the improved GUI triggers the execution of the "run.sh" script, which in turn runs the main "camera.py" file at 1210. A custom Python script manages the streaming process, synchronized precisely with a timer set at 1800 seconds at 1212. If the elapsed time is less than 1800 seconds, the process continues to 1216, where the "camera.py" script handles tasks ranging from connection establishment to frame capturing and data sharing seamlessly. The script imports necessary library files at 1218, declares essential variables at 1220, and attempts to establish a connection with the MQTT broker at 1222. If the connection is successful, frame capturing is initiated at 1228, and dedicated threads segment frames based on predetermined buffer sizes at 1230. Continuous verification of the connection occurs at 1232. If the connection remains intact, frame capturing, packetization, and publishing continue uninterrupted at 1236, ensuring the smooth operation of the system. However, if the MQTT and network connection fail, the script attempts to reconnect at 1246, looping back to 1222. Similarly, if the connection is not intact during verification, the script returns to the reconnection process at 1250, looping back to 1246. The code runs indefinitely, ensuring continuous operation of the Camera module within an integrated ambulance monitoring system 100 and method 300 for enhanced emergency care system;
[0096] Amptek, as utilized in the context of the invention, serves as a trademark denoting the Integrated Ambulance Monitoring System and Method for Enhanced Emergency Care. This acronym encapsulates the core essence of the system, emphasizing its focus on leveraging advanced technology for comprehensive ambulance monitoring and management.
[0097] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it will be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0098] A person of ordinary skill in the art may be aware that, in combination with the examples described in the embodiments disclosed in this specification, units and algorithm steps may be implemented by electronic hardware, computer software, or a combination thereof.
[0099] The foregoing descriptions of specific embodiments of the present disclosure have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present disclosure to the precise forms disclosed, and many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described to best explain the principles of the present disclosure and its practical application, and to thereby enable others skilled in the art to best utilize the present disclosure and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient, but such omissions and substitutions are intended to cover the application or implementation without departing from the scope of the present disclosure.
[0100] Disjunctive language such as the phrase “at least one of X, Y, Z,” unless specifically stated otherwise, is otherwise understood with the context as used in general to present that an item, term, etc., may be either X, Y, or Z, or any combination thereof (e.g., X, Y, and/or Z). Thus, such disjunctive language is not generally intended to, and should not, imply that certain embodiments require at least one of X, at least one of Y, or at least one of Z to each be present.
[0101] In a case that no conflict occurs, the embodiments in the present disclosure and the features in the embodiments may be mutually combined. The foregoing descriptions are merely specific implementations of the present disclosure, but are not intended to limit the protection scope of the present disclosure. Any variation or replacement readily figured out by a person skilled in the art within the technical scope disclosed in the present disclosure shall fall within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
, Claims:I/WE Claim:
1. An integrated ambulance monitoring system (100) and method (300) for enhanced emergency care, the system (100) comprising:
a sensors module (102), configured to collect real-time data on various ambulance and patient conditions;
a capturing module (104), configured to capture live video feeds of the ambulance interior for remote monitoring;
an electronics integration module (106), configured to integrate and manage the electronic components of the system;
a central control unit (108), configured to oversee and coordinate the operations of the entire system;
a communication module (110), configured to establish and maintain communication between the ambulance and external systems;
power supply units (112), configured to provide stable power to all components of the system;
an alarm module (114), configured to generate alerts for critical situations such as low oxygen levels or unsafe driving practices;
a display module (116), configured to present relevant information to ambulance staff in real-time.
2. The system (100) as claimed in claim 1, wherein the sensors module (102) further comprises sensors for monitoring oxygen levels (102a), cabin temperature (102b), and air quality (102c), breath analyser (102d).
3. The system (100) as claimed in claim 1, wherein the electronics integration module (106) further comprises microcontrollers such as ESP 32 (106a) for processing sensor data and managing system operations.
4. The system (100) as claimed in claim 1, wherein the central control unit (108) further comprises algorithms for optimizing ambulance routing and dispatch.
5. The system (100) as claimed in claim 1, wherein the alarm module (114) is configured to generate alerts for critical situations such as low oxygen levels or unsafe driving practices.
6. An integrated ambulance monitoring method (300) for enhanced emergency care, the method (300) comprising:
collecting real-time data on various ambulance and patient conditions through data acquisition (302);
transmitting collected data securely via an internet connection through data transmission (304);
processing and analysing collected data to identify trends and trigger alerts through data processing and analysis (306);
providing decision support and intervention based on processed data through decision support and intervention (308);
disseminating information to relevant stakeholders through information dissemination (310).
7. The method (300) as claimed in claim 6, wherein the data acquisition (302) step further comprises utilizing sensors to collect real-time data on various ambulance and patient conditions.
8. The method (300) as claimed in claim 6, wherein the data transmission (304) step further comprises establishing a secure internet connection for transmitting collected data.
9. The method (300) as claimed in claim 6, wherein the data processing and analysis (306) step further comprises employing algorithms to analyse collected data and identify trends, and wherein the decision support and intervention (308) step further comprises generating alerts and recommendations based on processed data.
10. The method (300) as claimed in claim 6, wherein the information dissemination (310) step further comprises providing real-time updates to relevant stakeholders.