Method for deployment of medical kits in trauma scenarios

Abstract

The present invention is a system and method for providing real-time guidance to untrained individuals in emergency medical situations using pre-positioned medical kits. The system leverages artificial intelligence (AI) and color-coded, icon-labeled packaging to enable users to quickly identify and properly use the appropriate medical items in a given emergency.

Description

PCT / US25 / 41474 11 August 2025 (11.08.2025)METHOD FOR DEPLOYMENT OF MEDICAL KITS IN TRAUMA SCENARIOSCROSS-REFERENCE TO RELATED APPLICATIONS

[0001] This application claims the benefit of Provisional Application No. 63 / 695,405, filed on September 17, 2024, which application is hereby incorporated herein by reference.TECHNICAL FIELD

[0002] This invention is related to deploying resources in emergency trauma situations. More specifically, this invention is related to providing instructions to persons on deploying medical treatment kits in an emergency to treat a patient suffering from trauma.BACKGROUND

[0003] The field of emergency medical response has seen significant advancements in recent years, with the introduction of medical kits positioned in various locations such as schools, airports, and shopping centers. These kits are designed to provide immediate response to individuals who are injured or experiencing medical emergencies. However, despite the availability of these kits, there are still significant challenges that need to be addressed.

[0004] One of the primary problems is that responders often lack the necessary training to recognize and effectively use the items within the medical kits. Medical packaging is often uniform, with items packaged in clear cellophane or in similar colors, making it difficult for untrained individuals to quickly identify the appropriate item for a given situation. This lack of standardization and clear identification can lead to confusion and delays in treatment, particularly in high-stress emergency situations where cognitive abilities may be impaired.

[0005] Previous attempts to address this problem have focused on providing training to individuals who may be called upon to use the medical kits. However, this approach has severalREFERENCE NO. SAFE 228.3-3.3 -1-PCT / US25 / 41474 11 August 2025 (11.08.2025) limitations. First, it is impractical to train every individual who may potentially need to use a medical kit. Second, even if an individual has received training, they may not retain the information or may struggle to apply it in a real-world emergency situation. Third, the items within the medical kit may differ from those used in training, leading to further confusion.

[0006] Other efforts have focused on improving the organization and labeling of items within the medical kits. While this can help to some extent, it does not fully address the problem of untrained individuals being able to quickly identify and use the appropriate items in an emergency situation. Moreover, these solutions do not provide real-time guidance or instructions on how to properly use the items, which is critical in situations where every second counts.

[0007] In summary, while the availability of medical kits in various locations is a positive development, there remains significant challenges in ensuring that untrained individuals can effectively use these kits in emergency situations. Current solutions, such as training and improved organization, are limited in their effectiveness and do not fully address the need for real-time guidance and clear identification of appropriate items. There is a clear need for a more comprehensive and intuitive system that can bridge the gap between the availability of medical supplies and the ability of untrained individuals to effectively use them in life-threatening situations.SUMMARY

[0008] In aspects, a system and method provides guidance to individuals in emergency medical situations using medical kits. For example, the system can be used in real-time and the individual may be untrained in medical procedures. In embodiments, the kits are pre-positioned at a site for access in an emergency. In embodiments, the system has computer technology such as artificialREFERENCE NO. SAFE 228.3-3.3 -2-PCT / US25 / 41474 11 August 2025 (11.08.2025) intelligence (Al). In embodiments, the system has coded packaging to enable users to quickly identify and properly use the appropriate medical items in a given emergency. For example, the packaging can be color-coded, and / or icon-labeled to enable users to quickly identify and properly use the appropriate medical items in a given emergency.

[0009] In an aspect, a system for providing a treatment protocol to an individual comprises a user device configured and arranged for transmitting information, a treatment kit having more than one item in individual packages, each one of the individual packages having an identifying code; and a subsystem configured and arranged for receiving the information from the user device, classifying at least one emergency, generating an emergency response protocol, and communicating the emergency response protocol to the user device, the emergency response protocol including directions for using the more than one item, the directions including the code on the individual packages.

[0010] In embodiments, the subsystem has an emergency response alert system. The emergency response alert system can include at least one sensor. The emergency response alert system can include at least one communication device.

[0011] The system can comprise a processing system configured and arranged to receive information, develop the emergency response protocol, and communicate the emergency response protocol. The processing system can utilize at least one of artificial intelligence, machine learning, and pattern recognition.

[0012] In embodiments, the system comprises a database for storing data. The database can store data concerning at least one of treatment protocols and contextual data.REFERENCE NO. SAFE 228.3-3.3 -3-PCT / US25 / 41474 11 August 2025 (11.08.2025)

[0013] In embodiments, the code includes at least one of color, a color-coded label, and an icon. The treatment kit can include at least one of bandages, wound dressings, medications, and an electronic device.

[0014] The user device comprises, for example, a computing device. The user device can comprise a cellphone. For example, the cellphone can have an application for communicating with the subsystem.

[0015] In embodiments, the system has at least one sensor. The at least one sensor can be provided, for example, as part of the treatment kit. The at least one sensor can comprise at least one of a heart rate sensor, a blood pressure sensor, and an oxygen saturation sensor.

[0016] In embodiments, the at least one sensor comprises a camera and / or a microphone.

[0017] In embodiments, the subsystem includes a computer network. For example, the subsystem includes a network cloud. In embodiments, the network has a processing system having an analytic engine. For example, the analytic engine can be a predictive analytics engine. In embodiments, the processing system comprises a user device interface. In embodiments, the processing system comprises a translation engine for translating a treatment protocol into a protocol for an untrained user.

[0018] In embodiments, the processing system comprises at least one of an inventory interface, an environmental sensor interface, a biometrics interface, a classifier engine, a training data interface, and an instructions interface.

[0019] In further aspects, a method of deploying a trauma kit inventory to a lay individual in a trauma situation comprises the steps of obtaining patient status data, obtaining inventory data,REFERENCE NO. SAFE 228.3-3.3 -4-PCT / US25 / 41474 11 August 2025 (11.08.2025) synthesizing the data, using analytics to classify at least one emergency, using analytics to generate an emergency response protocol, and providing the emergency response protocol to a user.

[0020] The method can further comprise using predictive analytics. In embodiments, the method further comprises translating the emergency response protocol for an untrained user. For example, the emergency response protocol can be provided to an untrained user.

[0021] In embodiments, the inventory data comprises contents of a treatment kit. In embodiments, the contents of the treatment kit include symbolic identifiers. For example, the symbolic identifiers are at least one of a color, a color-coded label, and an icon.

[0022] In embodiments, patient status data is obtained from at least one of user input, a sensor, an image, and audio. In embodiments, environmental context data is obtained. For example, the environmental context data can be obtained from at least one of user input, an image, audio, and emergency alert system information.

[0023] In embodiments, the method includes discarding data determined not to be useful.

[0024] In a further aspect, a system for providing a treatment protocol to an individual comprises a user device configured and arranged for transmitting information, and a treatment kit having more than one item in individual packages, each one of the individual packages having an identifying code including a color-coded label and an icon, the packages being grouped by at least hemorrhage control products, respiration products, circulation products, and bum products. The system includes a subsystem configured and arranged for receiving the information from the user device, classifying at least one emergency, generating an emergency response protocol, and communicating the emergency response protocol to the user device, the emergency response protocol including directions for using the more than one item, the directions including the codeREFERENCE NO. SAFE 228.3-3.3 -5-PCT / US25 / 41474 11 August 2025 (11.08.2025) on the individual packages, the subsystem having an emergency response system including at least one sensor and at least one communication device. The system has a processing system configured and arranged to receive information, develop the emergency response protocol, and communicate the emergency response protocol, the processing system having a camera and a global positioning system location device, an inventory interface, a biometrics interface, a classifier engine, a training data interface, and an instructions interface, as well as a database for storing data including a plurality of treatment protocols.

[0025] The system of claim 1, wherein the packages further include at least one of airway products, support products, and hypothermia products.

[0026] In the system, the processing system can include at least one of artificial intelligence, machine learning, and pattern recognition.

[0027] In embodiments, the treatment kit includes at least one of a bandage, a wound dressing, medication, and an electronic device.

[0028] In embodiments, the user device comprises a cellphone, tablet or laptop computer. In embodiments, the user device is a cellphone and the cellphone has an application for communicating with the subsystem. In embodiments, the user device is provided with the system.

[0029] In embodiments, the at least one sensor comprises at least one of a heart rate sensor, a blood pressure sensor, and an oxygen saturation sensor. In embodiments, the at least one sensor detects aspects of the surrounding environment, such as air temperature, noise, smoke and / or fire.

[0030] The subsystem may administer a treatment. In embodiments, the subsystem administers a medication. The subsystem can control at least one of the more than one item, the at least one of the more than one item comprising a medical device.REFERENCE NO. SAFE 228.3-3.3 -6-PCT / US25 / 41474 11 August 2025 (11.08.2025)

[0031] In embodiments, the emergency response system includes a microphone. In embodiments, the emergency response system includes a live feed to a healthcare professional through the microphone and the at least one communication device. The live feed can include audio and visual communication.

[0032] In embodiments, the processing system includes a predictive analytics engine.

[0033] In embodiments, the processing system includes an environmental sensor interface. The camera can be positioned on the processing system to provide pictures of the patient. The camera can be positioned on the processing system to provide pictures of the surrounding environment. In embodiments, more than one camera is provided.

[0034] In another aspect, a method for providing a treatment protocol to an individual comprises engaging with a user device configured and arranged for transmitting information, and entering information into the user device concerning a patient’s condition, the user device being configured and arranged to transmit the information to a subsystem, the subsystem classifying at least one emergency, generating an emergency response protocol, and communicating the emergency response protocol to the user device. The emergency response protocol includes directions for using at least one item from a treatment kit, the at least one item being provided in individual packages, each one of the individual packages having an identifying code including a color-coded label and an icon, the packages being grouped by at least hemorrhage control products, respiration products, circulation products, and bum products, the directions including the code on the individual packages, the subsystem also has an emergency response system including at least one sensor and at least one communication device. The method includes sending data from the subsystem to a processing system configured and arranged to receive the data, develop theREFERENCE NO. SAFE 228.3-3.3 -7-PCT / US25 / 41474 11 August 2025 (11.08.2025) emergency response protocol, and communicate the emergency response protocol to the user device, the processing system having a camera and a global positioning system location device (GPS), an inventory interface, a biometrics interface, a classifier engine, a training data interface, and an instructions interface, the processing system interacting with a database for storing data including a plurality of treatment protocols.

[0035] In embodiments, the method further comprises following the emergency response protocol to provide treatment to a patient. In the method, the emergency response protocol can include using at least one of airway products, support products, and hypothermia products. The emergency response protocol can include administering a tourniquet, administering medications, applying bandages and / or wound dressings, etc.

[0036] In embodiments, the emergency response protocol includes using at least one of a bandage, a wound dressing, medication, and an electronic device.

[0037] The method can further include engaging with a cellphone, tablet, laptop computer, or the like. In embodiments, the method includes engaging with a device provided with a system, kit, and / or assembly having the treatment items.

[0038] In embodiments, the method includes engaging with a cellphone and the cellphone has an application for communicating with the subsystem.

[0039] The method can further include observing at least one of a heart rate sensor, a blood pressure sensor, and an oxygen saturation sensor.

[0040] The method can further include speaking into a microphone of the emergency response system. In an example, the method includes speaking to a healthcare professional through the microphone and the communication device.REFERENCE NO. SAFE 228.3-3.3 -8-PCT / US25 / 41474 11 August 2025 (11.08.2025)

[0041] The processing system can include an environmental sensor interface. The method can include transmitting information about the surrounding environment, such as sensing air temperature, noise, smoke and / or fire, etc.

[0042] The data sent to the processing system can include pictures of the patient from the camera, pictures of the surrounding environment from the camera, and / or both.BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings illustrate several embodiments and, together with the description, serve to explain the principles of the invention according to the embodiments. It will be appreciated by one skilled in the art that the particular arrangements illustrated in the drawings are merely exemplary and are not to be considered as limiting of the scope of the invention or the claims herein in any way.

[0044] FIG. 1 is a schematic network diagram according to embodiments;

[0045] FIG. 2 is a schematic processing environment according to embodiments;

[0046] FIG. 3 is a flow chart diagram for a method of execution according to embodiments;

[0047] FIG. 4 is a schematic computing architecture according to embodiments;

[0048] FIG. 5 is a schematic of a system architecture according to embodiments;

[0049] FIG. 6 is a schematic of a computing device according to embodiments; and

[0050] FIG. 7 is a schematic of a computing device according to embodiments.DETAILED DESCRIPTION OF ILLUSTRATIVE EMBODIMENTS

[0051] In embodiments, a system and method provides guidance to individuals in emergency medical situations using medical kits. The system uses computer technology such as artificialREFERENCE NO. SAFE 228.3-3.3 -9-PCT / US25 / 41474 11 August 2025 (11.08.2025) intelligence (Al). In embodiments, uses coded packaging to enable users to quickly identify and properly use the appropriate medical items in a given emergency. In embodiments, a system and method provides real-time guidance to individuals in emergency medical situations, where the individual or individuals may or may not be trained. In embodiments, the medical kits are prepositioned at a site. In embodiments, the system leverages artificial intelligence (Al) and color- coded and / or icon-labeled packaging to enable users to quickly identify and properly use the appropriate medical items in a given emergency.

[0052] One or more different embodiments may be described in the present application.Further, for one or more of the embodiments described herein, numerous alternative arrangements may be described; it should be appreciated that these are presented for illustrative purposes only and are not limiting of the embodiments contained herein or the claims presented herein in any way. One or more of the arrangements may be widely applicable to numerous embodiments, as may be readily apparent from the disclosure. In general, arrangements are described in sufficient detail to enable those skilled in the art to practice one or more of the embodiments, and it should be appreciated that other arrangements may be utilized and that structural, logical, software, electrical and other changes may be made without departing from the scope of the embodiments. Particular features of one or more of the embodiments described herein may be described with reference to one or more particular embodiments or figures that form a part of the present disclosure, and in which are shown, by way of illustration, specific arrangements of one or more of the aspects. It should be appreciated, however, that such features are not limited to usage in the one or more particular embodiments or figures with reference to which they are described. The present disclosure is neither a literal description of allREFERENCE NO. SAFE 228.3-3.3 -10-PCT / US25 / 41474 11 August 2025 (11.08.2025) arrangements of one or more of the embodiments nor a listing of features of one or more of the embodiments that must be present in all arrangements.

[0053] Headings of sections provided in this patent application and the title of this patent application are for convenience only and are not to be taken as limiting the disclosure in any way.

[0054] Devices that are in communication with each other need not be in continuous communication with each other, unless expressly specified otherwise. In addition, devices that are in communication with each other may communicate directly or indirectly through one or more communication means or intermediaries, logical or physical.

[0055] A description of an aspect with several components in communication with each other does not imply that all such components are required. To the contrary, a variety of optional components may be described to illustrate a wide variety of possible embodiments and in order to more fully illustrate one or more embodiments. Similarly, although process steps, method steps, algorithms or the like may be described in a sequential order, such processes, methods and algorithms may generally be configured to work in alternate orders, unless specifically stated to the contrary. In other words, any sequence or order of steps that may be described in this patent application does not, in and of itself, indicate a requirement that the steps be performed in that order. The steps of described processes may be performed in any order practical. Further, some steps may be performed simultaneously despite being described or implied as occurring non- simultaneously (e.g., because one step is described after the other step). Moreover, the illustration of a process by its depiction in a drawing does not imply that the illustrated process is exclusive of other variations and modifications thereto, does not imply that the illustrated processREFERENCE NO. SAFE 228.3-3.3 -11-PCT / US25 / 41474 11 August 2025 (11.08.2025) or any of its steps are necessary to one or more of the embodiments, and does not imply that the illustrated process is preferred. Also, steps are generally described once per aspect, but this does not mean they must occur once, or that they may only occur once each time a process, method, or algorithm is carried out or executed. Some steps may be omitted in some embodiments or some occurrences, or some steps may be executed more than once in a given aspect or occurrence.

[0056] When a single device or article is described herein, it will be readily apparent that more than one device or article may be used in place of a single device or article. Similarly, where more than one device or article is described herein, it will be readily apparent that a single device or article may be used in place of the more than one device or article.

[0057] The functionality or the features of a device may be alternatively embodied by one or more other devices that are not explicitly described as having such functionality or features. Thus, other embodiments need not include the device itself.

[0058] Techniques and mechanisms described or referenced herein will sometimes be described in singular form for clarity. However, it should be appreciated that particular embodiments may include multiple iterations of a technique or multiple instantiations of a mechanism unless noted otherwise. Process descriptions or blocks in figures should be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps in the process. Alternate implementations are included within the scope of various embodiments in which, for example, functions may be executed out of order from that shown or discussed, includingREFERENCE NO. SAFE 228.3-3.3 -12-PCT / US25 / 41474 11 August 2025 (11.08.2025) substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those having ordinary skill in the art.

[0059] The detailed description set forth herein in connection with the appended drawings is intended as a description of various configurations and is not intended to represent the only configurations in which the concepts described herein may be practiced. The detailed description includes specific details for the purpose of providing a thorough understanding of various concepts. However, it will be apparent to those skilled in the art that these concepts may be practiced without these specific details. In some instances, well known structures and components are shown in block diagram form in order to avoid obscuring such concepts.

[0060] FIG. 1 illustrates a system according to certain embodiments. The system may comprise emergency alert system 102, a processing system 103, a database 104, a trauma incident kit 110a, a user device 110b, sensors 111, and a network 150.

[0061] The emergency alert system 102 may provide real-time environmental data to the processing system 103. The alert system or systems are, for example, strategically placed and continuously, or periodically, monitored to enhance situational awareness. The emergency alert system may comprise sensors and communication technologies to promptly detect and transmit critical information regarding nearby emergencies, such as natural disasters, accidents, or medical incidents. The processing system 103 may use this data, improving understanding of the surrounding environment. By analyzing the alerts in conjunction with user input and computer assessments such as Al-driven assessments, the processing system 103 may dynamically adapt its guidance and response strategies to suit the evolving emergency context. In embodiments, theREFERENCE NO. SAFE 228.3-3.3 -13-PCT / US25 / 41474 11 August 2025 (11.08.2025) emergency alert system includes police reports and / or reports from military personnel. In embodiments, emergency alert system includes weather alerts.

[0062] The processing system 103 may comprise a computing environment to execute the commands to provide instruction to a user. The processing system 103 may utilize artificial intelligence algorithms to analyze a myriad of inputs, including user interactions, environmental data from emergency alert systems, and the inventory of trauma incident kits 110a. The processing system may comprise a combination of machine learning and pattern recognition to rapidly assess the nature of the emergency and determine the most appropriate course of action. For example, the processing system may be located on the trauma incident kits 110a, on user devices 110b, or on the cloud.

[0063] The database 104 may comprise a data storage device capable of storing data. The data may comprise medical protocols, treatment guidelines, and inventory specifications for various types of traumatic events. The information may comprise a vast array of medical knowledge sourced from authoritative sources. In embodiments, the information is continuously updated, or periodically updated, to reflect the latest advancements in emergency medicine. Additionally, the database 104 may comprise contextual data, such as geographical location, local healthcare resources, and / or historical incident patterns, enabling the processing system 103 to customize its responses to specific environments and circumstances. In embodiments, the database 104 may utilize efficient data management techniques. In embodiments, the database uses secure access protocols to maintain integrity and reliability of the information utilized by the processing system 103.REFERENCE NO. SAFE 228.3-3.3 -14-PCT / US25 / 41474 11 August 2025 (11.08.2025)

[0064] The trauma incident kit 110a may comprise packaging and components for responding to an emergency medical situation. The trauma incident kit 110a may comprise a strategic selection of medical supplies to address a wide range of emergency scenarios. Each kit 110a may comprise items essential for immediate medical intervention, including for example bandages, wound dressings, splints, medications, and specialized equipment tailored to specific types of traumatic events. In embodiments, the kit includes an intubation device, defibrillator, suture, and / or needles. The packaging of these kits 110a may be designed with codes, such as color-coded labels and / or intuitive icons, facilitating rapid identification and retrieval of the necessary items even in high-stress situations. The inventory within the coded packages may be further coded with colors and / or symbols to allow a user to locate a proper component when indicated. In embodiments, the kits 110a may be ergonomically optimized for ease of handling and transportation, ensuring accessibility and usability in diverse environments. The kits 110a may also comprise the processing system 103 and sensors 111.

[0065] User device(s) 110b include, generally, a computer or computing device including functionality for communicating (e.g., remotely) over a network 150. Data may be collected from user devices 110b, and data requests may be initiated from each user device 110b. User device(s) 110b may be a server, a desktop computer, a laptop computer, personal digital assistant (PDA), an in- or out-of-car navigation system, a smart phone or other cellular or mobile phone, or mobile gaming device, among other suitable computing devices. User devices 110b may execute one or more applications, such as a web browser (e g., Microsoft Windows Internet Explorer, Mozilla Firefox, Apple Safari, Google Chrome, and Opera, etc.), or a dedicated application to submit user data, or to make prediction queries over a network 150.REFERENCE NO. SAFE 228.3-3.3 -15-PCT / US25 / 41474 11 August 2025 (11.08.2025)[oo66] In embodiments, each user device 110b may be an electronic device including hardware, software, or embedded logic components or a combination of two or more such components and capable of carrying out the appropriate functions implemented or supported by the user device 110b. For example and without limitation, a user device 110b may be a desktop computer system, a notebook computer system, a netbook computer system, a handheld electronic device, or a mobile telephone. The present disclosure contemplates any user device 110b. A user device 110b may enable a network user at the user device 110b to access network 150. A user device 110b may enable its user to communicate with other users at other user devices 110b.

[0067] A user device 110b may have a web browser, such as MICROSOFT INTERNET EXPLORER, GOOGLE CHROME or MOZILLA FIREFOX, and may have one or more addons, plug-ins, or other extensions, such as TOOLBAR or YAHOO TOOLBAR. A user device 110b may enable a user to enter a Uniform Resource Locator (URL) or other address directing the web browser to a server, and the web browser may generate a Hyper Text Transfer Protocol (HTTP) request and communicate the HTTP request to server. The server may accept the HTTP request and communicate to the user device 110b one or more Hyper Text Markup Language (HTML) files responsive to the HTTP request. The user device 110b may render a web page based on the HTML files from server for presentation to the user. The present disclosure contemplates any suitable web page files. As an example, and not by way of limitation, web pages may render from HTML files, Extensible Hyper Text Markup Language (XHTML) files, or Extensible Markup Language (XML) files, according to particular needs. Such pages may also execute scripts such as, for example and without limitation, those written in JAVASCRIPT, JAVA, MICROSOFT SIL VERLIGHT, combinations of markup language and scripts such asREFERENCE NO. SAFE 228.3-3.3 -16-PCT / US25 / 41474 11 August 2025 (11.08.2025)AJAX (Asynchronous JAVASCRIPT and XML), and the like. Herein, reference to a web page encompasses one or more corresponding web page files (which a browser may use to render the web page) and vice versa, where appropriate.

[0068] The user device 110b may also include an application that is loaded onto the user device 110b. In embodiments, the application obtains data from the network 150 and displays the data to the user within the application interface. In embodiments, data is displayed in the form of text, depictions, symbols, and other forms of graphics. In embodiments, data is communicated using audio, or audio-visual. In embodiments, the packaging for the items in the kit communicates through sound or displays.

[0069] Exemplary user devices are illustrated in some of the subsequent figures provided herein. This disclosure contemplates any suitable number of user devices, including computing systems taking any suitable physical form. As example and not by way of limitation, computing systems may be an embedded computer system, a system-on-chip (SOC), a single-board computer system (SBC) (such as, for example, a computer-on-module (COM) or system-on- module (SOM)), a desktop computer system, a laptop or notebook computer system, an interactive kiosk, a mainframe, a mesh of computer systems, a mobile telephone, a personal digital assistant (PDA), a server, or a combination of two or more of these. Where appropriate, the computing system may include one or more computer systems; be unitary or distributed; span multiple locations; span multiple machines; or reside in a cloud, which may include one or more cloud components in one or more networks. Where appropriate, one or more computing systems may perform without substantial spatial or temporal limitation one or more steps of one or more methods described or illustrated herein. As an example, and not by way of limitation, one or more computing systems may perform in real time or in batch mode one or more steps of one orREFERENCE NO. SAFE 228.3-3.3 -17-PCT / US25 / 41474 11 August 2025 (11.08.2025) more methods described or illustrated herein. One or more computing systems may perform at different times or at different locations one or more steps of one or more methods described or illustrated herein, where appropriate.

[0070] The sensors 111 may be utilized to obtain information and enhance situational awareness during emergency medical situations. The sensors 111 may comprise biometric sensors, capable of monitoring vital signs such as heart rate, blood pressure, and oxygen saturation levels in real-time. The sensors 111 may also comprise high-resolution cameras integrated into the system, providing visual data of the surrounding environment and potential injuries. These cameras enable the processing system to assess the severity of the situation, identify hazards, and guide users accordingly. The sensors 111 may further comprise microphones to capture auditory cues, allowing the system to detect signs of distress or communication from individuals in need of assistance. For example, biometric sensors can detect elevated heart rates indicative of stress or injury, while cameras can identify physical trauma such as lacerations or fractures.

[0071] In embodiments, the system includes a network, such as a network cloud. Network cloud 150 generally represents a network or collection of networks (such as the Internet or a corporate intranet, or a combination of both) over which the various components illustrated in FIG. 1 (including other components that may be necessary to execute the system described herein, as would be readily understood to a person of ordinary skill in the art). In particular embodiments, network 150 is an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a metropolitan area network (MAN), a portion of the Internet, or another network 150 or a combination of two or more such networks 150. One or more links connect the systems and databases described herein REFERENCE NO. SAFE 228.3-3.3 -18-PCT / US25 / 41474 11 August 2025 (11.08.2025) to the network 150. In embodiments, one or more links each includes one or more wired, wireless, or optical links. In embodiments, one or more links each includes an intranet, an extranet, a VPN, a LAN, a WLAN, a WAN, a MAN, a portion of the Internet, or another link or a combination of two or more such links. The present disclosure contemplates any suitable network 150, and any suitable link for connecting the various systems and databases described herein. In embodiments, the network is accessed over a cellphone system and / or satellite.

[0072] The network 150 connects the various systems and computing devices described or referenced herein. In particular embodiments, network 150 is an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a metropolitan area network (MAN), a portion of the Internet, or another network 421 or a combination of two or more such networks 150. The present disclosure contemplates any suitable network 150.

[0073] One or more links couple one or more systems, engines or devices to the network 150. In particular embodiments, one or more links each includes one or more wired, wireless, or optical links. In particular embodiments, one or more links each includes an intranet, an extranet, a VPN, a LAN, a WLAN, a WAN, a MAN, a portion of the Internet, or another link or a combination of two or more such links. The present disclosure contemplates any suitable links coupling one or more systems, engines or devices to the network 150.

[0074] In particular embodiments, each system or engine may be a unitary server or may be a distributed server spanning multiple computers or multiple datacenters. Systems, engines, or modules may be of various types, such as, for example and without limitation, web server, news server, mail server, message server, advertising server, file server, application server, exchangeREFERENCE NO. SAFE 228.3-3.3 -19-PCT / US25 / 41474 11 August 2025 (11.08.2025) server, database server, or proxy server. In embodiments, each system, engine or module may include hardware, software, or embedded logic components or a combination of two or more such components for carrying out the appropriate functionalities implemented or supported by their respective servers. For example, a web server is generally capable of hosting websites containing web pages or particular elements of web pages. More specifically, a web server may host HTML files or other file types, or may dynamically create or constitute files upon a request, and communicate them to client / user devices or other devices in response to HTTP or other requests from client devices or other devices. A mail server is generally capable of providing electronic mail services to various client devices or other devices. A database server is generally capable of providing an interface for managing data stored in one or more data stores.

[0075] In embodiments, one or more data storages may be communicatively linked to one or more servers via one or more links. In particular embodiments, data storages may be used to store various types of information. In embodiments, the information stored in data storages may be organized according to specific data structures. In particular embodiment, each data storage may be a relational database. Embodiments may provide interfaces that enable servers or clients to manage, e.g., retrieve, modify, add, or delete, the information stored in data storage.

[0076] The system may also contain other subsystems and databases, which are not illustrated in FIG. 1, but would be readily apparent to a person of ordinary skill in the art. Other databases and systems may be added or subtracted, as would be readily understood by a person of ordinary skill in the art, without departing from the scope of the invention.

[0077] FIG. 2 illustrates an example computing environment in accordance with an exemplary embodiment of the present invention. The computing environment may comprise aREFERENCE NO. SAFE 228.3-3.3 -20-PCT / US25 / 41474 11 August 2025 (11.08.2025) user device interface 201, an inventory interface 205, an environmental sensor interface 210, a biometrics interface 215, a predictive analytics engine 220, a classifier engine 225, a translation engine 230, a training data interface 235, and an instructions interface 240.

[0078] In embodiments, the system has a user device interface. The user device interface 201 may comprise a device to communicate between the processing system 103 and the user device 110b. The user device interface 201 may provide access to the system's functionalities, to improve ease of use even for users. The user device interface 201 may comprise a responsive interface so users can input relevant information about the emergency scenario, such as symptoms observed or environmental conditions. The user device interface 201 then delivers clear and concise instructions in real-time, guiding users through the necessary steps for administering medical aid effectively. The user device interface 201 may comprise interactive elements and multimedia capabilities, such as audio prompts and visual cues, to improve user engagement and comprehension. The user device interface 201 may support bidirectional communication, allowing a user to provide feedback or seek clarification as needed.

[0079] In embodiments, the system has an inventory interface. The inventory interface 205 may comprise a device to communicate between the processing system 103 and the trauma incident kit 110a. The inventory interface 205 may assist the processing system 103 in maintaining real-time visibility into the inventory counts and status of medical supplies within each kit. In embodiments, utilizing efficient data exchange protocols, the inventory interface 205 continuously or periodically updates the processing system 103 with accurate information regarding the availability of essential items, ensuring that users have access to the necessary resources to address diverse emergency scenarios.REFERENCE NO. SAFE 228.3-3.3 -21-PCT / US25 / 41474 11 August 2025 (11.08.2025)[oo8o] In embodiments, the system has an environmental sensor interface. The environmental sensor interface 210 may comprise a communication device to obtain information from the surrounding environment and relay the information to the processing system 103. The environmental sensor interface 210 helps the processing system 103 maintain real-time visibility into the environment around the trauma emergency. In embodiments, utilizing efficient data exchange protocols, the environmental sensor interface 210 continuously or periodically updates the processing system 103 with accurate information regarding the area around the emergency through any alert systems present or through visual and audio information gathered from the site of the emergency. In an embodiment, the environmental sensor interface 210 may be omitted from the device.

[0081] In embodiments, the system has a biometrics interface. The biometrics interface 215 may comprise a communication device to obtain information from the sensors 111 and relay the information to the processing system 103. The biometrics interface 215 helps the processing system 103 maintain vital signs of a patient by gathering information from the sensors 111. In embodiments, utilizing efficient data exchange protocols, the biometrics interface 215 continuously or periodically updates the processing system 103 with accurate information regarding the health of the patient to ensure the processing system 103 may make informed recommendations for the user. In an embodiment, the biometrics interface 215 may be omitted from the device.

[0082] In embodiments, the system has a predictive analytics engine. The predictive analytics engine 220 may comprise artificial intelligence and machine learning algorithms to recommend treatment protocols. In embodiments, the predictive analytics engine 220 analyzes a comprehensive array of data sources, including training data sets and information from theREFERENCE NO. SAFE 228.3-3.3 -22-PCT / US25 / 41474 11 August 2025 (11.08.2025) classifier engine 225. In embodiments, by processing real-time data streams from diverse sources, the predictive analytics engine generates an appropriate deployment strategy for the inventory contained within the trauma incident kit 110a. The predictive analytics engine 220 may dynamically adapt assessment algorithms, continuously refining its predictive capabilities based on feedback and evolving emergency scenarios.

[0083] In embodiments, the system has a classifier engine. The classifier engine 225 may comprise artificial intelligence and machine learning algorithms to understand the patient status. The classifier engine 225, in embodiments, analyzes a comprehensive array of data sources, including inputs from user interfaces, biometric sensors, and environmental data, to assess the nature of a medical emergency. In embodiments, by processing real-time data streams from diverse sources, the classifier engine 225 generates a holistic understanding of the patient's condition and the surrounding environment. For example, the classifier engine can use pattern recognition and predictive modeling. The classifier engine 225 may identify critical indicators and patterns indicative of specific medical emergencies, such as cardiac events, traumatic injuries, or respiratory distress. The classifier engine 225 may dynamically adapt assessment algorithms, continuously or periodically refining its predictive capabilities based on feedback and evolving emergency scenarios.

[0084] In embodiments, the system has a translation engine. The translation engine 230 may comprise artificial intelligence and machine learning algorithms to simplify the treatment deployment steps required as determined by the predictive analytics engine 220. In embodiments, the translation engine 230 analyzes a comprehensive array of data sources, including inputs from user interfaces, and first aid training materials. In embodiments, the translation engine processes real-time data streams from diverse sources. The translation engine REFERENCE NO. SAFE 228.3-3.3 -23-PCT / US25 / 41474 11 August 2025 (11.08.2025)230 can, for example, generate an easy to comprehend set of instructions for a user to deploy inventory to assist in treating a patient. The translation engine 230 may dynamically adapt assessment algorithms, continuously or periodically refining its predictive capabilities based on feedback and evolving emergency scenarios. In embodiments, the instructions are translated based on the level of skill of the user. In embodiments, the user identifies and / or characterizes themselves to the system.

[0085] In embodiments, the system includes a training data interface. The training data interface 235 may comprise a communication device to obtain information from a database 104 and relay the information to the processing system 103. The training data interface 235 helps the processing system 103 maintain a knowledge base related to medical emergency diagnosis and treatment protocols. In embodiments, the training data interface utilizes efficient data exchange protocols. In embodiments, the training data interface 235 continuously or periodically updates the processing system 103 with accurate information regarding proper medical steps to ensure the processing system 103 may make informed recommendations for the user.

[0086] In embodiments, the system has an instructions interface. The instructions interface 240 may deliver clear and actionable guidance to users during emergency medical situations. In embodiments, the instructions interface is powered by the predictive analytics engine 220. For example, the instructions interface 240 dynamically generates personalized instructions based on real-time assessments of the emergency scenario. In embodiments, the instructions interface uses intuitive visual cues, textual prompts, and / or audio guidance. In embodiments, the instructions interface 240 communicates step-by-step procedures for deploying medical aid tailored to the specific context of the emergency. The instructions interface 240 may anticipate potential challenges and offer proactive solutions to mitigate risks, The instructions interface 240 mayREFERENCE NO. SAFE 228.3-3.3 -24-PCT / US25 / 41474 11 August 2025 (11.08.2025) support adaptive learning mechanisms, refining its instructions over time based on user feedback and the outcomes of previous interventions.

[0087] FIG. 3 illustrates an exemplary process for deploying emergency kits in an embodiments. The steps for the method comprise, for example, obtain patient status data 301, obtain environmental context data 305, obtain symbolic inventory data (subset components) 310 (such as the inventory of items in the treatment kit), data synthesis 313, use predictive analytics to classify at least one emergency 315, use predictive analytics to generate an emergency response protocol 320, translate the emergency response protocol(s) for an untrained user 322, and provide the emergency response protocol to an untrained user (such as color and / or shape coded guidance) 325.

[0088] In embodiments, the method includes obtaining patient status data. The step of obtaining patient status data 301 may comprise receiving information regarding the medical status of a patient. This may be from various data sources including, but not limited to, user input, biometric sensor data, and / or images and / or audio from the patient.

[0089] In embodiments, the method includes obtaining environmental context data. The step of obtaining environmental context data 305 may comprise receiving information regarding the area around the emergency trauma situation related to the patient. This may be from various data sources including, but not limited to, user input, images and audio from the area, and emergency alert systems. The step of obtaining environmental context data 305 may be omitted in other embodiments of the method.

[0090] In embodiments, the method includes obtaining symbolic inventory data. The step of obtaining symbolic inventory data 310 may comprise receiving information regarding theREFERENCE NO. SAFE 228.3-3.3 -25-PCT / US25 / 41474 11 August 2025 (11.08.2025) inventory of a trauma kit near the patient. This may be from various data sources including, but not limited to, user input, images from the kit, and database information. The inventory data may be arranged in groups of color and / or symbol coded packages. The inventory within the coded packages may be further coded with colors and / or symbols to allow a lay user to locate a proper component when indicated.

[0091] In embodiments, the method includes data synthesis. The step of data synthesis 313 may comprise analyzing the data from obtaining patient status data 301, obtaining environmental context data 305, and obtaining symbolic inventory data 310 steps. The step of data synthesis 313, may utilize predictive analytics to determine which data is useful for improving deployment strategies and which is not useful. In embodiments, the data determined to be not useful is discarded to improve efficiency in the following steps.

[0092] In embodiments, the method includes using predictive analytics to classify at least one emergency. The step of using predictive analytics to classify at least one emergency 315 may comprise utilizing Al and machine learning to analyze the data from data synthesis 313 to determine what medical emergency the patient is experiencing. In embodiments, unsupervised learning methods, such as clustering algorithms, can be used to identify hidden patterns in the data to detect anomalies or unusual trends that may signify emergent medical conditions. In embodiments, reinforcement learning algorithms can be used to continuously or periodically improve diagnostic accuracy by interacting with the environment and learning from feedback provided by medical professionals or users. In embodiments, deep learning techniques, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), can be used to analyze complex data streams, such as images from cameras or temporal data from biometric sensors, to extract features and make accurate predictions about the patient's condition REFERENCE NO. SAFE 228.3-3.3 -26-PCT / US25 / 41474 11 August 2025 (11.08.2025)

[0093] Inembodiments, the method includes using predictive analytics to generate an emergency response protocol. The step of using predictive analytics to generate an emergency response protocol 320 may recommend the deployment of trauma kits based on the diagnosis for the patient, leveraging predictive analytics and / or trained Al models informed by medical protocols. In embodiments, rule-based systems may apply predefined rules derived from medical guidelines to determine the appropriate deployment of the contents of trauma kits for specific diagnoses, and may ensure adherence to established standards of care. Machine learning algorithms can be used in embodiments, including decision trees and random forests, to analyze historical data on medical interventions and outcomes to identify optimal deployment strategies for trauma kits based on patient diagnoses and contextual factors. In embodiments, Bayesian networks may model the probabilistic relationships between different medical conditions and the effectiveness of corresponding treatment options and may enable the system to make probabilistic inferences about the most suitable kit deployment for a given diagnosis. In embodiments, hybrid approaches combining multiple Al techniques, such as expert systems with machine learning, can provide robust recommendations that adapt to evolving medical knowledge and individual patient needs

[0094] In embodiments, the method includes translating the emergency response protocol for an untrained user. The step of translating the emergency response protocol(s) for an untrained user 322 may translate recommendations for deploying trauma kits based on patient diagnoses derived from using predictive analytics to generate an emergency response protocol 320. In embodiments, Natural Language Processing (NLP) techniques can convert the system's recommendations into human-readable instructions, facilitating clear communication with users regarding the contents and usage of trauma kits. In embodiments, knowledge representation andREFERENCE NO. SAFE 228.3-3.3 -27-PCT / US25 / 41474 11 August 2025 (11.08.2025) reasoning methods, such as semantic networks or ontologies, can be used to organize medical knowledge in a structured format, enabling the system to interpret and apply recommendations in alignment with established medical protocols. The step of translating the emergency response protocol(s) for an untrained user 322 may utilize a kit that is symbolically and / or color coded to make it easier for a user to understand the deployment instructions. In embodiments, neural machine translation models may translate recommendations into multiple languages, ensuring accessibility for users from diverse linguistic backgrounds.

[0095] In embodiments, the method includes providing the emergency response protocol to the user. The step of providing the emergency response protocol to a user 325 may comprise relaying the translated emergency response protocols to the user. This may be done through visual or audio communication methods known in the art which may comprise, but not limited to, transmitting readable or image based instructions to a user device or audio instructions provided through a speaker. The instructions may adapt as the treatment progresses and the patient status is reevaluated by the system.

[0096] Generally, the techniques disclosed herein may be implemented on hardware or a combination of software and hardware. For example, they may be implemented in an operating system kernel, in a separate user process, in a library package bound into network applications, on a specially constructed machine, on an application-specific integrated circuit (ASIC), or on a network interface card.

[0097] Software / hardware hybrid implementations of at least some of the embodiments disclosed herein may be implemented on a programmable network-resident machine (which should be understood to include intermittently connected network-aware machines) selectivelyREFERENCE NO. SAFE 228.3-3.3 -28-PCT / US25 / 41474 11 August 2025 (11.08.2025) activated or reconfigured by a computer program stored in memory. Such network devices may have multiple network interfaces that may be configured or designed to utilize different types of network communication protocols. A general architecture for some of these machines may be described herein in order to illustrate one or more exemplary means by which a given unit of functionality may be implemented. According to specific embodiments, at least some of the features or functionalities of the various embodiments disclosed herein may be implemented on one or more general-purpose computers associated with one or more networks, such as for example an end-user computer system, a client computer, a network server or other server system, a mobile computing device (e.g., tablet computing device, mobile phone, smartphone, laptop, or other appropriate computing device), a consumer electronic device, a music player, or any other suitable electronic device, router, switch, or other suitable device, or any combination thereof. In at least some embodiments, at least some of the features or functionalities of the various embodiments disclosed herein may be implemented in one or more virtualized computing environments (e.g., network computing clouds, virtual machines hosted on one or more physical computing machines, or other appropriate virtual environments).

[0098] Any of the above mentioned systems, units, modules, engines, controllers, interfaces, components or the like may be and / or comprise hardware and / or software as described herein. For example, the enterprise system 101, the query wise stateless structure engine 110, the large language model (LLM) system 120, the network 150, and subcomponents thereof may be and / or comprise computing hardware and / or software as described herein in association with FIGS. 4-7. Furthermore, any of the above mentioned systems, units, modules, engines, controllers, interfaces, components or the like may use and / or comprise an application programmingREFERENCE NO. SAFE 228.3-3.3 -29-PCT / US25 / 41474 11 August 2025 (11.08.2025) interface (API) for communicating with other systems units, modules, engines, controllers, interfaces, components, or the like for obtaining and / or providing data or information.

[0099] Referring now to FIG. 4, there is shown a block diagram depicting an exemplary computing device 10 suitable for implementing at least a portion of the features or functionalities disclosed herein. Computing device 10 may be, for example, any one of the computing machines listed in the previous paragraph, or indeed any other electronic device capable of executing software- or hardware-based instructions according to one or more programs stored in memory. Computing device 10 may be configured to communicate with a plurality of other computing devices, such as clients or servers, over communications networks such as a wide area network a metropolitan area network, a local area network, a wireless network, the Internet, or any other network, using known protocols for such communication, whether wireless or wired.

[0100] In one aspect, computing device 10 includes one or more central processing units (CPU) 12, one or more interfaces 15, and one or more busses 14 (such as a peripheral component interconnect (PCI) bus). When acting under the control of appropriate software or firmware, CPU 12 may be responsible for implementing specific functions associated with the functions of a specifically configured computing device or machine. For example, in at least one aspect, a computing device 10 may be configured or designed to function as a server system utilizing CPU 12, local memory 11 and / or remote memory 16, and interface(s) 15. In at least one aspect, CPU 12 may be caused to perform one or more of the different types of functions and / or operations under the control of software modules or components, which for example, may include an operating system and any appropriate applications software, drivers, and the like.REFERENCE NO. SAFE 228.3-3.3 -30-PCT / US25 / 41474 11 August 2025 (11.08.2025)[oioi] CPU 12 may include one or more processors 13 such as, for example, a processor from one of the Intel, ARM, Qualcomm, and AMD families of microprocessors. In some embodiments, processors 13 may include specially designed hardware such as applicationspecific integrated circuits (ASICs), electrically erasable programmable read-only memories (EEPROMs), field-programmable gate arrays (FPGAs), and so forth, for controlling operations of computing device 10. In a particular aspect, a local memory 11 (such as non-volatile randomaccess memory (RAM) and / or read-only memory (ROM), including for example one or more levels of cached memory) may also form part of CPU 12. However, there are many different ways in which memory may be coupled to system 10. Memory 11 may be used for a variety of purposes such as, for example, caching and / or storing data, programming instructions, and the like. It should be further appreciated that CPU 12 may be one of a variety of system-on-a-chip (SOC) type hardware that may include additional hardware such as memory or graphics processing chips, such as a QUALCOMM SNAPDRAGON™ or SAMSUNG EXYNOS™ CPU as are becoming increasingly common in the art, such as for use in mobile devices or integrated devices.

[0102] As used herein, the term “processor” is not limited merely to those integrated circuits referred to in the art as a processor, a mobile processor, or a microprocessor, but broadly refers to a microcontroller, a microcomputer, a programmable logic controller, an application-specific integrated circuit, and any other programmable circuit.

[0103] In one aspect, interfaces 15 are provided as network interface cards (NICs). Generally, NICs control the sending and receiving of data packets over a computer network; other types of interfaces 15 may for example support other peripherals used with computing device 10. Among the interfaces that may be provided are Ethernet interfaces, frame relay REFERENCE NO. SAFE 228.3-3.3 -31-PCT / US25 / 41474 11 August 2025 (11.08.2025) interfaces, cable interfaces, DSL interfaces, token ring interfaces, graphics interfaces, and the like. In addition, various types of interfaces may be provided such as, for example, universal serial bus (USB), Serial, Ethernet, FIREWIRE™, THUNDERBOLT™, PCI, parallel, radio frequency (RF), BLUETOOTH™, near-field communications (e g., using near-field magnetics), 802.11 (WiFi), frame relay, TCP / IP, ISDN, fast Ethernet interfaces, Gigabit Ethernet interfaces, Serial ATA (SATA) or external SATA (ESATA) interfaces, high-definition multimedia interface (HDMI), digital visual interface (DVI), analog or digital audio interfaces, asynchronous transfer mode (ATM) interfaces, high-speed serial interface (HSSI) interfaces, Point of Sale (POS) interfaces, fiber data distributed interfaces (FDDIs), and the like. Generally, such interfaces 15 may include physical ports appropriate for communication with appropriate media. In some cases, they may also include an independent processor (such as a dedicated audio or video processor, as is common in the art for high-fidelity A / V hardware interfaces) and, in some instances, volatile and / or non-volatile memory (e.g., RAM).

[0104] Although the system shown in FIG. 4 illustrates one specific architecture for a computing device 10 for implementing one or more of the embodiments described herein, it is by no means the only device architecture on which at least a portion of the features and techniques described herein may be implemented. For example, architectures having one or any number of processors 13 may be used, and such processors 13 may be present in a single device or distributed among any number of devices. In one aspect, single processor 13 handles communications as well as routing computations, while in other embodiments a separate dedicated communications processor may be provided. In various embodiments, different types of features or functionalities may be implemented in a system according to the aspect thatREFERENCE NO. SAFE 228.3-3.3 -32-PCT / US25 / 41474 11 August 2025 (11.08.2025) includes a client device (such as a tablet device or smartphone running client software) and server systems (such as a server system described in more detail below).

[0105] Regardless of network device configuration, the system of an aspect may employ one or more memories or memory modules (such as, for example, remote memory block 16 and local memory 11) configured to store data, program instructions for the general-purpose network operations, or other information relating to the functionality of the embodiments described herein (or any combinations of the above). Program instructions may control execution of or comprise an operating system and / or one or more applications, for example. Memory 16 or memories 11, 16 may also be configured to store data structures, configuration data, encryption data, historical system operations information, or any other specific or generic non-program information described herein.

[0106] Because such information and program instructions may be employed to implement one or more systems or methods described herein, at least some network device embodiments may include non transitory machine-readable storage media, which, for example, may be configured or designed to store program instructions, state information, and the like for performing various operations described herein. Examples of such non transitory machine- readable storage media include, but are not limited to, magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD-ROM disks; magneto-optical media such as optical disks, and hardware devices that are specially configured to store and perform program instructions, such as read-only memory devices (ROM), flash memory (as is common in mobile devices and integrated systems), solid state drives (SSD) and “hybrid SSD” storage drives that may combine physical components of solid state and hard disk drives in a single hardware device (as are becoming increasingly common in the art with regard to personal computers), memristor REFERENCE NO. SAFE 228.3-3.3 33-PCT / US25 / 41474 11 August 2025 (11.08.2025) memory, random access memory (RAM), and the like. It should be appreciated that such storage means may be integral and non-removable (such as RAM hardware modules that may be soldered onto a motherboard or otherwise integrated into an electronic device), or they may be removable such as swappable flash memory modules (such as “thumb drives” or other removable media designed for rapidly exchanging physical storage devices), “hot-swappable” hard disk drives or solid state drives, removable optical storage discs, or other such removable media, and that such integral and removable storage media may be utilized interchangeably. Examples of program instructions include both object code, such as may be produced by a compiler, machine code, such as may be produced by an assembler or a linker, byte code, such as may be generated by for example a JAVA™ compiler and may be executed using a Java virtual machine or equivalent, or files containing higher level code that may be executed by the computer using an interpreter (for example, scripts written in Python, Perl, Ruby, Groovy, or any other scripting language).

[0107] In some embodiments, systems may be implemented on a standalone computing system. Referring now to FIG. 5, there is shown a block diagram depicting a typical exemplary architecture of one or more embodiments or components thereof on a standalone computing system. Computing device 20 includes processors 21 that may run software that carry out one or more functions or applications of embodiments, such as for example a client application. Processors 21 may carry out computing instructions under control of an operating system 22 such as, for example, a version of MICROSOFT WINDOWS™ operating system, APPLE macOS™ or iOS™ operating systems, some variety of the Linux operating system, ANDROID™ operating system, or the like. In many cases, one or more shared services 23 may be operable in system 20, and may be useful for providing common services to clientREFERENCE NO. SAFE 228.3-3.3 -34-PCT / US25 / 41474 11 August 2025 (11.08.2025) applications. Services 23 may for example be WINDOWS™ services, user-space common services in a Linux environment, or any other type of common service architecture used with operating system 21. Input devices 28 may be of any type suitable for receiving user input, including for example a keyboard, touchscreen, microphone (for example, for voice input), mouse, touchpad, trackball, or any combination thereof. Output devices 27 may be of any type suitable for providing output to one or more users, whether remote or local to system 20, and may include for example one or more screens for visual output, speakers, printers, or any combination thereof. Memory 25 may be random-access memory having any structure and architecture known in the art, for use by processors 21, for example to run software. Storage devices 26 may be any magnetic, optical, mechanical, memristor, or electrical storage device for storage of data in digital form (such as those described above, referring to FIG. 4). Examples of storage devices 26 include flash memory, magnetic hard drive, CD-ROM, and / or the like.

[0108] In some embodiments, systems may be implemented on a distributed computing network, such as one having any number of clients and / or servers. Referring now to FIG. 6, there is shown a block diagram depicting an exemplary architecture 30 for implementing at least a portion of a system according to one aspect on a distributed computing network. According to the aspect, any number of clients 33 may be provided. Each client 33 may run software for implementing client-side portions of a system; clients may comprise a system 20 such as that illustrated in FIG. 5. In addition, any number of servers 32 may be provided for handling requests received from one or more clients 33. Clients 33 and servers 32 may communicate with one another via one or more electronic networks 31, which may be in various embodiments any of the Internet, a wide area network, a mobile telephony network (such as CDMA or GSM cellular networks), a wireless network (such as WiFi, WiMAX, LTE, and so forth), or a localREFERENCE NO. SAFE 228.3-3.3 -35-PCT / US25 / 41474 11 August 2025 (11.08.2025) area network (or indeed any network topology known in the art; the aspect does not prefer any one network topology over any other). Networks 31 may be implemented using any known network protocols, including for example wired and / or wireless protocols.

[0109] In addition, in some embodiments, servers 32 may call external services 37 when needed to obtain additional information, or to refer to additional data concerning a particular call. Communications with external services 37 may take place, for example, via one or more networks 31. In various embodiments, external services 37 may comprise web-enabled services or functionality related to or installed on the hardware device itself. For example, in one aspect where client applications are implemented on a smartphone or other electronic device, client applications may obtain information stored in a server system 32 in the cloud or on an external service 37 deployed on one or more of a particular enterprise’s or user’s premises.

[0110] In some embodiments, clients 33 or servers 32 (or both) may make use of one or more specialized services or appliances that may be deployed locally or remotely across one or more networks 31. For example, one or more databases 34 may be used or referred to by one or more embodiments. It should be understood by one having ordinary skill in the art that databases 34 may be arranged in a wide variety of architectures and using a wide variety of data access and manipulation means. For example, in various embodiments one or more databases 34 may comprise a relational database system using a structured query language (SQL), while others may comprise an alternative data storage technology such as those referred to in the art as “NoSQL” (for example, HADOOP CASSANDRA™, GOOGLE BIGTABLE™, and so forth). In some embodiments, variant database architectures such as column-oriented databases, inmemory databases, clustered databases, distributed databases, or even flat fde data repositories may be used according to the aspect. It will be appreciated by one having ordinary skill in the artREFERENCE NO. SAFE 228.3-3.3 -36-PCT / US25 / 41474 11 August 2025 (11.08.2025) that any combination of known or future database technologies may be used as appropriate, unless a specific database technology or a specific arrangement of components is specified for a particular aspect described herein. Moreover, it should be appreciated that the term “database” as used herein may refer to a physical database machine, a cluster of machines acting as a single database system, or a logical database within an overall database management system. Unless a specific meaning is specified for a given use of the term “database”, it should be construed to mean any of these senses of the word, all of which are understood as a plain meaning of the term “database” by those having ordinary skill in the art.

[0111] Similarly, some embodiments may make use of one or more security systems 36 and configuration systems 35. Security and configuration management are common information technology (IT) and web functions, and some amount of each are generally associated with any IT or web systems. It should be understood by one having ordinary skill in the art that any configuration or security subsystems known in the art now or in the future may be used in conjunction with embodiments without limitation, unless a specific security 36 or configuration system 35 or approach is specifically required by the description of any specific aspect.

[0112] FIG. 7 shows an exemplary overview of a computer system 40 as may be used in any of the various locations throughout the system. It is exemplary of any computer that may execute code to process data. Various modifications and changes may be made to computer system 40 without departing from the broader scope of the system and method disclosed herein. Central processor unit (CPU) 41 is connected to bus 42, to which bus is also connected memory 43, nonvolatile memory 44, display 47, input / output (I / O) unit 48, and network interface card (NIC) 53. I / O unit 48 may, typically, be connected to keyboard 49, pointing device 50, hard disk 52, and real-time clock 51. NIC 53 connects to network 54, which may be the Internet or a localREFERENCE NO. SAFE 228.3-3.3 -37-PCT / US25 / 41474 11 August 2025 (11.08.2025) network, which local network may or may not have connections to the Internet. Also shown as part of system 40 is power supply unit 45 connected, in this example, to a main alternating current (AC) supply 46. Not shown are batteries that could be present, and many other devices and modifications that are well known but are not applicable to the specific novel functions of the current system and method disclosed herein. It should be appreciated that some or all components illustrated may be combined, such as in various integrated applications, for example Qualcomm or Samsung system-on-a-chip (SOC) devices, or whenever it may be appropriate to combine multiple capabilities or functions into a single hardware device (for instance, in mobile devices such as smartphones, video game consoles, in-vehicle computer systems such as navigation or multimedia systems in automobiles, or other integrated hardware devices).

[0113] In various embodiments, functionality for implementing systems or methods of various embodiments may be distributed among any number of client and / or server components. For example, various software modules may be implemented for performing various functions in connection with the system of any particular aspect, and such modules may be variously implemented to run on server and / or client components.

[0114] The skilled person will be aware of a range of possible modifications of the various embodiments described above. Accordingly, the present invention is defined by the claims and their equivalents.

[0115] As used herein any reference to “one embodiment” or “an embodiment” means that a particular element, feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. The appearances of the phrase “in oneREFERENCE NO. SAFE 228.3-3.3 -38-PCT / US25 / 41474 11 August 2025 (11.08.2025) embodiment” in various places in the specification are not necessarily all referring to the same embodiment.

[0116] Some embodiments may be described using the expression “coupled” and “connected” along with their derivatives. For example, some embodiments may be described using the term “coupled” to indicate that two or more elements are in direct physical or electrical contact. The term “coupled,” however, may also mean that two or more elements are not in direct contact with each other, but yet still co-operate or interact with each other. The embodiments are not limited in this context.

[0117] As used herein, the terms “comprises,” “comprising,” “includes,” “including,” “has,” “having” or any other variation thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, article, or apparatus that comprises a list of elements is not necessarily limited to only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Further, unless expressly stated to the contrary, “or” refers to an inclusive or and not to an exclusive or. For example, a condition A or B is satisfied by any one of the following: A is true (or present) and B is false (or not present), A is false (or not present) and B is true (or present), and both A and B are true (or present).

[0118] In addition, use of the “a” or “an” are employed to describe elements and components of the embodiments herein. This is done merely for convenience and to give a general sense of the invention. This description should be read to include one or at least one and the singular also includes the plural unless it is obvious that it is meant otherwise.

[0119] Upon reading this disclosure, those of skill in the art will appreciate still additional alternative structural and functional designs for a system and a process for facilitating databaseREFERENCE NO. SAFE 228.3-3.3 -39-PCT / US25 / 41474 11 August 2025 (11.08.2025) queries through the disclosed principles herein. Thus, while particular embodiments and applications have been illustrated and described, it is to be understood that the disclosed embodiments are not limited to the precise construction and components disclosed herein. Various apparent modifications, changes and variations may be made in the arrangement, operation and details of the method and apparatus disclosed herein without departing from the spirit and scope defined in the appended claims.REFERENCE NO. SAFE 228.3-3.3 -40-

Claims

PCT / US25 / 41474 11 August 2025 (11.08.2025)WHAT IS CLAIMED IS:

1. A system for providing a treatment protocol to an individual, comprising: a user device configured and arranged for transmitting information; a treatment kit having more than one item in individual packages, each one of the individual packages having an identifying code including a color-coded label and an icon, the packages being grouped by at least hemorrhage control products, respiration products, circulation products, and burn products; and a subsystem configured and arranged for receiving the information from the user device, classifying at least one emergency, generating an emergency response protocol, and communicating the emergency response protocol to the user device, the emergency response protocol including directions for using the more than one item, the directions including the code on the individual packages, the subsystem having an emergency response system including at least one sensor and at least one communication device; a processing system configured and arranged to receive information, develop the emergency response protocol, and communicate the emergency response protocol, the processing system having a camera and a global positioning system location device, an inventory interface, a biometrics interface, a classifier engine, a training data interface, and an instructions interface; and a database for storing data including a plurality of treatment protocols.

2. The system of claim 1, wherein the packages further include at least one of airway products, support products, and hypothermia products.

3. The system of claim 1, wherein the treatment kit includes at least one of a bandage, a wound dressing, medication, and an electronic device.

4. The system of claim 1, wherein the user device is a cellphone and the cellphone has an application for communicating with the subsystem.REFERENCE NO. SAFE 228.3-3.3 -41-PCT / US25 / 41474 11 August 2025 (11.08.2025)5. The system of claim 1, wherein the at least one sensor comprises at least one of a heart rate sensor, a blood pressure sensor, and an oxygen saturation sensor.

6. The system of claim 1, wherein the subsystem administers a treatment.

7. The system of claim 6, wherein the subsystem controls at least one of the more than one item, the at least one of the more than one item comprising a medical device.

8. The system of claim 1, wherein the emergency response system includes a live feed to a healthcare professional through a microphone and the at least one communication device.

9. The system of claim 8, wherein the live feed includes audio and visual communication.

10. The system of claim 1, wherein the processing system includes an environmental sensor interface.

11. The system of claim 1, wherein the camera is positioned to provide pictures of the patient.

12. The system of claim 1, wherein the camera is positioned to provide pictures of the surrounding environment.

13. A method for providing a treatment protocol to an individual, comprising: engaging with a user device configured and arranged for transmitting information; entering information into the user device concerning a patient’s condition, the user device being configured and arranged to transmit the information to a subsystem, the subsystem classifying at least one emergency, generating an emergency response protocol, and communicating the emergency response protocol to the user device,REFERENCE NO. SAFE 228.3-3.3 -42-PCT / US25 / 41474 11 August 2025 (11.08.2025) the emergency response protocol including directions for using at least one item from a treatment kit, the at least one item being provided in individual packages, each one of the individual packages having an identifying code including a color-coded label and an icon, the packages being grouped by at least hemorrhage control products, respiration products, circulation products, and burn products, the directions including the code on the individual packages, the subsystem having an emergency response system including at least one sensor and at least one communication device; and sending data from the subsystem to a processing system configured and arranged to receive the data, develop the emergency response protocol, and communicate the emergency response protocol to the user device, the processing system having a camera and a global positioning system location device, an inventory interface, a biometrics interface, a classifier engine, a training data interface, and an instructions interface, the processing system interacting with a database for storing data including a plurality of treatment protocols.

14. The method of claim 13, further comprising following the emergency response protocol to provide treatment to a patient.

15. The method of claim 13, wherein the emergency response protocol includes using at least one of airway products, support products, and hypothermia products.

16. The method of claim 13, wherein the emergency response protocol includes using at least one of a bandage, a wound dressing, medication, and an electronic device.

17. The method of claim 13, wherein the user device is a cellphone and the cellphone has an application for communicating with the subsystem.

18. The method of claim 13, further including observing at least one of a heart rate sensor, a blood pressure sensor, and an oxygen saturation sensor.REFERENCE NO. SAFE 228.3-3.3 -43-PCT / US25 / 41474 11 August 2025 (11.08.2025)19. The method of claim 13, further including speaking to a healthcare professional through a microphone and the communication device.

20. The method of claim 13, wherein the data sent to the processing system includes pictures from the camera.REFERENCE NO. SAFE 228.3-3.3 -44-

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