AI-POWERED SMART TRIAGE TERMINAL (KIOSK)

TR202519356A3Pending Publication Date: 2026-09-21İSTİNYE ÜNİVERSİTESİ
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Patent Information

Application Number
TR202519356
Authority / Receiving Office
TR · TR
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-12-05
Publication Date
2026-09-21

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Abstract

The invention relates to an AI-powered smart triage terminal (kiosk) developed in the field of health technologies and medical artificial intelligence, which performs priority classification (triage) by receiving the symptom, age and additional disease information of patients in emergency departments via a touch user interface screen (1), determines the triage result with a decision support system and provides guidance to both the patient and the healthcare personnel, works integrated with the hospital information management system (HIMS), continuously improves its own accuracy thanks to its cloud-based learning infrastructure, protects personal information with its data security module and can be used on different devices with its hardware-independent architecture.
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Description

1 TARIFF ARTIFICIAL INTELLIGENCE-POWERED SMART TRIAGE TERMINAL (KIOSK) Technical Area 5 The invention has applications in healthcare technologies and medical artificial intelligence (AI). Developed in the field; in emergency departments, patient symptoms, age, gender and additional diseases A decision support system that automatically prioritizes data by analyzing it. Through the (Decision Support System), 10 simultaneous messages are sent to the patient and healthcare personnel. Hospital Information Management System (HIMS) that provides guidance Management System (HBYS) that establishes two-way data communication and cloud-based learning. AI-powered smart triage terminal with cloud-based learning capability. It is related to (kiosk). The Invention's Infrastructure In today's healthcare systems, especially emergency departments (Emergency Departments) and first point of contact (Primary Care Units) patient volume, time It faces management and proper prioritization problems. 20 worldwide Traditional triage systems that are implemented are generally manual. It is based on assessments, on the quick decision-making of a nurse or doctor. These systems monitor patients' symptoms and vital signs. They are recorded by staff, then color-coded according to clinical protocols. Color-coded classification is used. However, this method is not suitable for humans. susceptible to errors, and especially during peak periods, critically ill patients may be mistreated. This can lead to mistrial. The most significant weakness of manual triage systems is the lack of standardization (Lack of Standardization and data accuracy depend on personnel experience. 30 That is to say, two different patients with the same symptoms are treated differently by different staff members. They can be assigned to categories, which can lead to inconsistencies in hospital processes. This is possible. Also, due to high patient traffic, waiting times may be longer. 2 Prolonged and delayed detection of critical cases jeopardizes patient safety. This poses serious risks. In order to address these shortcomings, digital triage systems have been developed in recent years. Systems) and AI-powered clinical decision systems (AI-Based Clinical Decision 5 Systems) have begun to be developed. Some of the current solutions help patients Preliminary assessment by collecting data via mobile applications or web interfaces. (Pre-Triage Assessment) is performed, and the results are presented to the user in textual or visual form. However, these solutions are generally hospital information management systems (Hospital It does not have Information Management System (HBYS) integration and there are 10 in the field. It does not contain any actively functioning hardware components. Therefore, it is urgent. integrated with the physical patient flow at the entrance of the services They are unable to work. Among the systems on the market, 15 stand out, including Infermedica, Ada Health, and Corti. Examples include symptom analysis or call center-supported triage algorithms. Although they exist, these are physical kiosk or terminal-based solutions. It does not offer hardware independence in current applications. Independence and real-time bidirectional data transfer Features such as Data Flow are not available. As a result, healthcare professionals 20 They cannot directly see the alerts from the system and can only see the patient mobile They can obtain information through the interface, which slows down the decision-making process. is happening. In addition to all this, many hospitals prioritize privacy and data security (Data 25). artificial intelligence running on third-party servers due to security concerns They are hesitant to use their systems. The information entered during the triage process... symptoms, illnesses and personal health data protection of personal data (Personal Data This is critically important in terms of data protection. Therefore, on-site data processing (On- Device Processing) and anonymized data management (Anonymized Data 30 Systems that provide (management) solutions are more secure from a legal and ethical perspective. It offers. 3 The invention of the AI-powered smart tributing terminal (kiosk) addresses precisely these shortcomings. Developed to address this issue, digital systems combine classic manual methods. It creates a bridge between them. The invention allows patients to perform transactions directly through the kiosk. Touch Interface, which allows it to process symptoms Artificial intelligence module (AI Module), clinical result 5 Decision Support System (DSS) that verifies according to protocols and a real-time alert system that communicates the results to both the patient and the staff. It consists of Real-Time Alert System components. The invention is HBYS integration (hospital information management system integration- 10 Thanks to the hospital information management system, the analysis results are instantly available in the hospital data. It transmits the information to the base. In critical cases, it reaches healthcare personnel within seconds. An alert appears on their screen or mobile device. This allows the nurse or Potential emergencies can be anticipated even before the doctor physically sees the patient. It is being determined. 15 Furthermore, the invention has a hardware-independent architecture. This architecture allows the software to... The same performance not only on kiosks but also on tablets and mobile devices. This enables it to function effectively. Thus, it can be easily integrated into different hospital environments. This allows for improved performance and reduced maintenance costs, making the system sustainable. 20 Another innovation found in the AI-powered smart triage terminal (kiosk) invention is: It is a continual learning strategy. The artificial intelligence module is derived from the field. It is constantly updated with incoming anonymized data. Thus, the algorithm Adapting to the local patient profile and case distribution, the accuracy of the system increases over time. is increasing. This approach of the invention is dynamic, in contrast to classical fixed models. It provides dynamic adaptation and the model's regional differences It allows him to learn. Privacy-focused design is also a key component of the invention. Patients can choose from 30 options if they wish. You can use the anonymous login option, in which case the data is processed on the local device and Personal Data is only transmitted to the server in encrypted form when necessary. This ensures the protection of Personal Data. In accordance with the principles of the Personal Data Protection Law (KVKK) and the General Data Protection Regulation (GDPR) It represents a coherent structure. 4 According to current technology, the invention of an artificial intelligence-powered smart triage terminal (kiosk) Its most important technical advantages can be listed as follows: • Speed: Reduces response time for critical cases by up to 40% on average. It reduces. • Accuracy: The AI ​​module detects 5% of errors caused by human error. It minimizes classifications. • Integration: Thanks to the connection with the HBYS (hospital information management system). It provides full integration into the hospital workflow. • Accessibility: Voice Assistant support, vision or motion assistance. It facilitates use for individuals with disabilities. 10 • Scalability: Hardware-independent software architecture, different healthcare They can be adapted to their institutions. • Sustainability: Cloud-based update and performance monitoring feature. This allows for long-term use. The AI-powered smart triage terminal (kiosk) invention streamlines patient traffic in emergency departments. digitize, automate prioritization and provide healthcare personnel with saving time, improving patient safety, efficiency, and operational standardization. The invention aims to provide healthcare organizations with data at both clinical and administrative levels. Data-driven, low error tolerance, predictive, and intelligent 20 It is getting a (Predictive and Smart) emergency services management system. The structural and characteristic features and all the advantages of the invention are given in the figures below. And thanks to the detailed explanation provided, it will be understood more clearly, and therefore... This assessment was also made taking these figures and detailed explanations into consideration. 25 It needs to be done. Figures that Aid in Explaining the Invention The invention will be described by reference to the attached figures, so that the characteristics of the invention are listed in 30 This will be understood more clearly. However, the purpose of this is to explain the invention with these specific arrangements. It is not about limiting. On the contrary, the invention is defined by the accompanying claims. including all alternatives, modifications and equivalencies that can be included within the field That is also intended. The details shown are only the preferred aspect of the present invention. It is shown both for the purpose of explaining the regulations and the rules of the invention. to provide the most useful and easily understandable definition of its conceptual characteristics It should be understood that they are presented for that purpose. Figure 1: Front view of an AI-powered smart triage terminal (kiosk). Reference Numbers that Aid in Disclosure of the Invention 1. Touchscreen user interface display 10 Disclosure of the Invention This detailed explanation relates to AI-powered smart tributing terminals (kiosks), purely for the purpose of better understanding the subject and without any limiting influence. 15 It is explained in a way that will not create a problem. The invention in question; • Touchscreen user interface display that allows patients to perform actions directly. 20 User interface module that enables symptom entry via (1), • Artificial Intelligence Analysis Engine by evaluating symptom data and determining possible triage categories (red, yellow, AI module that identifies (green, etc.) • 25 that validate the obtained analysis results according to clinical decision protocols Decision Support System (DSS) • According to the triage results obtained, both the patient and the healthcare personnel Real-time alert system that generates guidance and warning notifications (Real- Time Alert System • The analysis and guidance data obtained are instantly transferred to the hospital information management system. 30 HBYS (hospital information management system) that transfers the system to the database integration module, 6 • Instant alerts in critical situations are sent to healthcare personnel's screens or mobile devices. emergency alarm unit that sends notifications to your device, • Cloud that synchronizes all components of the system and manages updates. server (cloud server) and remote management panel, • Data security module (Data 5) that stores user data by encrypting it. Encryption Module), • Anonymized data from the field to increase the accuracy of the system artificial intelligence model that enables continuous learning from data Update Unit • Voice command support to enable patients to perform procedures without physical contact. 10 Voice Assistant integration module, microphone system and speaker system, • Multiple terminals can be managed over the same network. device synchronization infrastructure • regardless of the terminal hardware type (kiosk, tablet, mobile device, 15 (computer) hardware-independent architecture that can run the same software. (Hardware-Independent Architecture), • Privacy protected with anonymous login option and data masking technologies The user security interface that provides (privacy) protection. • Health administrators are provided with information on case density, waiting times, number of patients, and 20 analytical reporting panel presenting performance statistics, • Monitoring system performance, detecting errors, and updating Maintenance and remote management process It includes the Management sections. How the AI-powered smart triage terminal (kiosk) works; • Performing the process of collecting patients' personal and clinical data,  The patient’s symptoms via the touchscreen user interface screen (1), Entering age, gender, and any additional medical conditions  Voice Assistant module on-demand guidance 30 ensuring,  Accuracy and integrity of data in the pre-processing layer to be checked, 7 • Performing the analysis of the entered data,  Artificial Intelligence Module's symptom data by classifying the possible triage categories (red, yellow, green, blue, orange) determination,  analysis results decision support system (Decision Support System, 5 Verification by DSS according to clinical protocols,  The triage results obtained are beneficial for both patients and healthcare personnel. interpretation, • Performing the patient referral process,  Displaying the appropriate guidance message on the patient's screen, 10  In critical situations, the system says "Proceed to the Emergency Response Area Without Delay" giving a warning  The voice assistant simultaneously provides the directions verbally, • sending notifications to healthcare personnel,  via real-time alert system (Real-Time Alert System) 15 via HBYS (hospital information management system) to the responsible personnel automatic notification sending,  Notifications appear on both desktop and mobile device screens,  In critical cases, the patient's identity, triage code, and terminal location. The information should be immediately communicated to healthcare personnel, 20 • the process of recording data and transferring it to the learning process to be done,  All transaction data is anonymized and stored on the cloud server. transfer,  The artificial intelligence model (AI Model) is continuously re-evaluated with this data. training,  The algorithm dynamically adapts to regional case distribution. updating, • Hospital Information Management System The integration process with HBYS (Hospital Information System) will be completed on 30 days.  Recording triage results in the HBYS database,  Real-time information flow to the healthcare personnel in the unit to which the patient is referred ensuring, 8  Records of manual interventions performed by healthcare personnel automatic processing by the system • Ensuring the security of the system,  Data security module for all patient data (Data Encryption Module) encryption via, 5  Access to personal identification information is restricted due to anonymized data policies. closure,  Time recorded on the audit log of all system accesses recording with a timestamp, • Performing performance and reporting tasks, 10  Daily, weekly and analytics reporting panel (Analytics Dashboard) Producing case analyses on a monthly basis,  Graphical representation of critical density areas,  Workforce planning based on performance data of healthcare managers being able to do it, 15 • Offline operation and resynchronization process,  When the connection is interrupted, the data is temporarily stored in the terminal memory. hiding,  When the connection is re-established, all data will be automatically transferred to the cloud server. synchronization as 20  Preventing data loss or conflict risk in process steps It includes. All technical and other specifications mentioned in each request are followed by a reference number. ...and this reference number is only for the purpose of making it easier to understand the requests. 25 They have been used, therefore this reference number is for illustrative purposes only. It should not be assumed that the scope of the element indicated is limited. A technical expert can assess the novelty of the invention and similar structures. by using and / or this structure used in the relevant technique 30 It is clear that this can be applied to other fields with similar purposes. Therefore, such a It is also obvious that these structures will lack the criterion of surpassing innovation.

Claims

9 REQUESTS 1. The invention relates to an artificial intelligence-powered smart triage terminal (kiosk), the feature of which is; • Touchscreen user interface display that allows patients to perform actions directly. User interface module that enables symptom entry via (1), • Artificial Intelligence Analysis Engine by evaluating symptom data and determining possible triage categories (red, yellow, 10 AI module that identifies (green, etc.) • Verifying the obtained analysis results according to clinical decision protocols Decision Support System (DSS) • According to the triage results obtained, both the patient and the healthcare personnel Real-15 is a real-time alert system that generates guidance and warning notifications. Time Alert System • The obtained analysis and guidance data is instantly transferred to hospital information management. HBYS (hospital information management system) that transfers the system to the database integration module, • Instant alerts in critical situations are sent to the screens or mobile devices of healthcare personnel. emergency alarm unit that sends notifications to your device, • Cloud that synchronizes all components of the system and manages updates. server (cloud server) and remote management panel, • Data security module that stores user data by encrypting it (Data Encryption Module), 25 • Anonymized data from the field to increase the accuracy of the system artificial intelligence model that enables continuous learning from data Update Unit • Voice command support to enable patients to perform procedures without physical contact. Voice Assistant integration module, microphone 30 system and speaker system, • Multiple terminals can be managed over the same network. device synchronization infrastructure • regardless of the terminal's hardware type (kiosk, tablet, mobile device, (computer) hardware-independent architecture that can run the same software. (Hardware-Independent Architecture), • Privacy protected with anonymous login option and data masking technologies The user security interface that provides (privacy) protection, 5 • case density, waiting time, number of patients, and analytical reporting panel presenting performance statistics, • Monitoring system performance, detecting errors, and updating Maintenance and remote management process It includes the Management sections. 10 2. The invention relates to the operating method of an artificial intelligence-powered smart triage terminal (kiosk). related to; its characteristic is; • Performing the process of collecting patients' personal and clinical data,  The patient’s symptom is displayed via the touchscreen user interface screen (1), 15 Entering age, gender, and any additional medical conditions  Voice Assistant module guidance on request ensuring,  Accuracy and integrity of data in the pre-processing layer to be checked, 20 • Performing the analysis of the entered data,  Artificial Intelligence Module's symptom data by classifying the possible triage categories (red, yellow, green, blue, orange) determination,  analysis results decision support system (Decision Support System, 25 Verification by DSS according to clinical protocols,  The triage results obtained are beneficial for both patients and healthcare personnel. interpretation, • Performing the patient referral process,  Displaying an appropriate guidance message on the patient's screen, 30  In critical situations, the system says "Proceed to the Emergency Response Area Without Delay" giving a warning  The voice assistant simultaneously provides the directions verbally, 11 • sending notifications to healthcare personnel,  via real-time alert system via HBYS (hospital information management system) to the responsible personnel automatic notification sending,  Notifications appear on both desktop and mobile device screens, 5  In critical cases, the patient's identity, triage code, and terminal location. the information should be immediately communicated to healthcare personnel, • the process of recording data and transferring it to the learning process to be done,  All transaction data is anonymized and stored on the cloud server. 10 transfer,  The artificial intelligence model (AI Model) is continuously updated with this data. training,  The algorithm dynamically adapts to regional case distribution. updated, 15 • Hospital Information Management System Integration with HBYS (Hospital Information System),  Recording triage results in the HBYS database,  Real-time information flow to the healthcare personnel in the unit to which the patient is referred ensuring, 20  Records of manual interventions performed by healthcare personnel automatic processing by the system • Ensuring the security of the system,  Data security module for all patient data (Data Encryption Module) encryption via, 25  Access to personal identification information is restricted due to anonymized data policies. closure,  Time recorded on the audit log of all system accesses recording with a timestamp, • Performing performance and reporting tasks, 30  Daily, weekly and analytics reporting panel (Analytics Dashboard) Producing case analyses on a monthly basis,  Graphical representation of critical density areas, 12  Workforce planning based on performance data of healthcare managers being able to do it, • Offline operation and resynchronization process,  When the connection is interrupted, the data is temporarily stored in the terminal memory. storage, 5  When the connection is re-established, all data will be automatically transferred to the cloud server. synchronization,  Preventing data loss or conflict risk in process steps It includes. 15 25