AI-POWERED DECISION SUPPORT AND CONTROL SYSTEM FOR PATIENT SAFETY IN THE RECOVERY UNIT.

Abstract

The invention relates to an integrated decision support system designed to ensure the secure and standardized execution of patient admission, monitoring, and delivery processes in the compilation unit. This system includes a patient authentication system, a mandatory digital checklist based on condition assessment, clinical and physiological data integration, AI-powered risk scoring, and a workflow control mechanism that automatically stops the process in case of missing data or high risk, guiding the user to mandatory corrective steps.

Description

1 TARIFF AI-SUPPORTED DECISION-MAKING FOR PATIENT SAFETY IN THE RECOVERY UNIT. SUPPORT AND CONTROL SYSTEM TECHNICAL AREA 5 The invention provides for a safe and standardized process for patient admission, monitoring, and delivery in the recovery unit. In order to ensure that it is carried out in this way; patient identity verification system, status assessment Based on mandatory digital checklist, clinical and physiological data integration, AI-supported Risk scoring and automatically stopping the process in case of missing data or high risk. 10 It relates to an integrated decision support system. The invention is particularly relevant in the field of health informatics and patient safety, especially in post-anesthesia care units. Current conditions in patient transfer and monitoring processes in recovery units, also known as rehabilitation units. An innovative decision support and workflow management system that aims to overcome limitations. 15 It offers. In current practices, the admission of patients to the postoperative recovery unit and During delivery to the service or intensive care unit, critical clinical information is mostly obtained through verbal communication and This information is based on personal experience, which can lead to data deficiencies and non-standard practices. This leads to delays in identifying risks that threaten practices and patient safety. The present invention addresses this technical problem in optical code technology for patient authentication, case 20. a mandatory digital handover checklist in the evaluation format, from patient monitors and Integration of vital signs and clinical parameters from wearable sensors A closed-loop system created by integrating an AI-based risk assessment module. It solves this through a system. The system analyzes all collected data simultaneously. by generating a dynamic and objective risk score for the patient, and together with this score, delivery 25 Missing or incorrect data entry in the checklist, presence of critical clinical values, or high risk. When a score is determined, the patient delivery and tracking workflow progresses automatically. a control that blocks and directs the user to mandatory correction and confirmation steps It includes a mechanism. This structure differs from traditional systems that only provide passive warnings. In this way, it directly enhances patient and staff safety by creating an active safety barrier and 30 It allows for the systematic recording of near-miss incidents. Thus The invention standardizes the patient handover process in recovery units, minimizing human error. and enable early detection of clinical risks, hospital information management systems or It offers an innovative system that can be integrated as a standalone software platform. 35 PREVIOUS TECHNIQUE 2 Patient admission, monitoring, and discharge processes in recovery units, patients after surgical intervention This is critically important for ensuring the continued safe maintenance of the existing system. Practices generally involve verbal communication and written documentation between nurses and anesthesiologists. It is based on checklist-based systems. In this process, patient information is gathered during surgery. Anesthesia protocols used, intravenous fluid therapies, status of invasive lines, vital signs 5 and critical data such as postoperative care plans, are often unstandardized oral. This information is transmitted through transfers. This situation leads to information losses, data deficiencies, and misunderstandings. This leads to risks that directly threaten patient safety. Especially the patient In situations of high workload or during shift changes, critical clinical information Omitting or incomplete reporting can lead to 10% of postoperative complications and adverse events. This emerges as an important reason. In technology, there are known digital patient monitoring systems and hospital information management systems. Together, these systems are generally designed for the purpose of collecting and recording data, It does not include a workflow control mechanism specific to the patient handover process. Existing systems, 15 Admission of patients to the recovery unit and their transfer to wards or intensive care units. It does not provide a mandatory checklist or verification mechanism during this process; therefore The process is entirely left to the initiative and experience of the personnel. Standards like SBAR Although communication protocols have been proposed, these protocols must be implemented systematically and mandatorily in a digital manner. There is no automation in place to enable its implementation in the environment. Furthermore, the existing 20 Patient monitoring systems use physiological data obtained from patient monitors and wearable sensors. It does not have a structure to integrate data into the decision-making process. Oxygen saturation, patient Parameters such as mobility, fall risk, and intravenous line stability are monitored individually, It is possible to combine this data and evaluate it using a clinical decision support mechanism. This does not happen. This situation results in the late detection of critical changes in vital signs or clinical risks. 25 This leads to delays in situations where intervention is needed. Another significant technical problem encountered in recovery units is patient monitoring and delivery. The problem is the inability to control the steps in the process. Existing systems suffer from incomplete data entry, skipped steps, etc. The process can be stopped in the face of clinical parameters or high-risk patient situations and 30 any mechanism that can direct the user to mandatory corrective steps It does not include. Therefore, near misses or clinical errors are systematically recorded. This is not possible, and opportunities to learn from these events cannot be seized. Staff overload. And due to workload, critical steps are skipped, and patients are delivered to services with insufficient information. Situations such as failure to adequately monitor invasive procedures and vital signs can lead to the death of patient 35. This seriously threatens safety and negatively affects clinical outcomes. Especially in the early postoperative period, respiratory depression, hemodynamic instability, and 3 Early detection and intervention of life-threatening complications such as bleeding ensures patient safety. This is of vital importance. These limitations in the current technology make the patient delivery and monitoring processes in the recovery unit difficult. due to the inability to standardize, the inability to evaluate clinical data in an integrated manner, and patient 5 This leads to the absence of an active control mechanism that guarantees security. Hospital information management systems, patient monitoring devices, and sensor-based monitoring. Although the technologies exist individually, these systems are specific to the patient delivery process. They are not integrated with each other and offer clinical decision support and workflow control together. A comprehensive solution has not been developed. This invention fills this critical gap in the current technology, 10 patient authentication, mandatory digital checklist, physiological data integration, and artificial intelligence. It provides a risk assessment based on data loss or high risk, and the workflow in case of missing data or high risk. an integrated system that automatically stops the process and directs the user to the necessary correction steps. It aims to solve these problems with a decision support system. The invention involves a patient in the compilation unit. By standardizing acceptance, tracking, and delivery processes, clinical 15 minimizes human error. An innovative system that enables early detection of risks and actively protects patient and staff safety. This approach provides data integration, workflow control, and efficiency in existing systems. By addressing shortcomings in clinical decision support, postoperative care processes become more predictable and It allows for the achievement of reliable clinical results. Patent document CN121731625A describes an artificial intelligence-powered augmented reality-based system. The invention describes a perioperative patient anxiety relief system and device. The invention relates to the patient. integrating data, performing anxiety assessment and prediction with artificial intelligence, augmented Real-time physiological feedback, providing an immersive intervention environment through augmented reality technology. a 25 that provides dynamic content adaptation and includes a management module for healthcare professionals The system includes layered resources such as natural landscapes and breathing exercises. It attracts patients' attention by using it and is more effective than traditional psychological guidance. It provides a direct calming effect. Thanks to the reinforcement learning algorithm, according to changes in the patient's anxiety score and fluctuations in physiological parameters adapting the intervention content in real time and a personalized approach 30 It offers this through devices such as pulse oximeters and heart rate variability monitors. It transforms abstract feelings of anxiety into measurable physiological indicators, and these indicators It visualizes it in an augmented reality interface. When the specified threshold values ​​are exceeded... Automatic content adjustment or alerting of healthcare personnel is enabled. Unlike this system which focuses on anxiety management, the present invention has 35 in the compilation unit. AI-based system that ensures the secure execution of the patient delivery and monitoring process. an integrated decision support system with risk analysis and mandatory workflow control mechanisms 4 It is related to. The current invention automatically stops the process in case of missing data or high risk. an active workflow control mechanism that guides the user through mandatory correction steps It includes passive stimulus systems for anxiety management, in this respect. They are leaving. Patent document number KR20230058225A describes patient care using thermal image signals. The invention refers to a control server for the system. It involves a thermal image sensor or... It communicates with other patient monitoring devices and uses artificial intelligence to process thermal image data. or includes a control server that analyzes patient status information. The system, It monitors the patient's condition in real time and provides patient status information electronically. It automatically updates the records. This allows for customized intensive care for the patient. The service can be offered. The present invention provides thermal imaging-based patient monitoring and electronic... Unlike this system which provides record updates, it makes the patient handover process mandatory and standardizing, digital checklist in SBAR format, clinical and sensor data. integration and a control mechanism that hinders workflow in case of missing data 15 It includes not only patient monitoring but also the patient delivery process. In the present invention, not only patient monitoring but also the patient delivery process is considered. An integrated system is offered that covers all stages and provides clinical decision support. Patent document US2021313066A1 describes a system for automated health and wellness consulting. The system and method are discussed. The invention involves the creation of a virtual assistant and 20 It encompasses a system aimed at maintaining, assisting in health improvement and personal development. It facilitates a systematic and psychological approach to care. Patients interact with the assistant. through creating personalized health improvement plans and using sensors or patient data. Based on physiological measurements and artificial intelligence analyses of data collected from inputs, this The system adapts the plans. The system adjusts the health plan according to the patient's response to their interaction with the system. It dynamically improves its suggestions and does not rely on artificial neural networks, but rather on artificial intelligence itself. statistical inference of biophysical parameters defining the biophysical simulation environment It includes a calculation method that uses the present invention for general health counseling and personal care. Unlike this system, which focuses on care planning, this system is specific to the patient recovery unit. It targets delivery and tracking processes and provides mandatory workflow control in these processes. It offers a decision support system. The present invention is particularly useful in cases where there is missing data or during patient delivery. It differs from this system by having the feature to halt the process in high-risk situations. Patent document CN120549457A describes multimodal sensing and AI-based smart technology. The text discusses a patient wristband for healthcare. The invention involves an identification module, a cloud system, and medical 35. monitoring module, multi-mode sensor fusion module, artificial intelligence healthcare intervention engine module, power module, hardware module, physiological monitoring module, health intervention module, communication and energy module, health module, software and artificial intelligence functions, real-time health analysis The module includes a personalized health module and a data privacy module. The bracelet is medical. In various scenarios, it meets the needs for precise monitoring and provides patients with non-drug healthcare interventions. It reduces dependence on medication and works electronically by being compatible with existing hospital information systems. It supports the automatic updating of patient records. The present invention is a wearable device. 5 Unlike this system, which provides patient monitoring and health intervention through compilation, Mandatory digital checklist specific to the patient handover process in the unit, in SBAR format. Standardized data entry and active control that prevents workflow in case of missing data. It includes a mechanism. In the present invention, the entire compilation, not limited to the patient wristband, is included. An integrated decision support system is offered that covers the unit workflow. 10 Patent document number AU2021104096A4 describes artificial intelligence for the diagnosis and treatment of mental illnesses. The system in question is an intelligence-based system. The invention provides information about people's psychological symptoms. It involves an interacting artificial intelligence system, and the system analyzes psychological health conditions. It diagnoses and improves itself in line with the latest research and updates. 15 The system is wearable, like a smartwatch, to detect the patient's emotions and vital signs. It works by connecting to devices. This invention contributes to the diagnosis and treatment of mental illnesses. Unlike this system which focuses on patient delivery and monitoring in the post-surgical recovery unit, It is a decision support system that ensures the secure execution of processes. The present invention, Rather than evaluating psychological symptoms, clinical data at the time of patient delivery 20 It is essential that the information is transmitted completely and accurately, and that the process is controlled in risky situations. The area has a structure. Patent document US2012154582A1 describes an integrated system for protocol compliance and The method is described. The invention is a system that automatically detects protocol violations, with appropriate 25 An integrated and automated workflow, sensors, and intelligence that alerts and records these violations. The system provides a management system. The system provides real-time support to healthcare personnel in care processes. By providing warnings, we reduce the number of adverse patient events and ensure staff compliance with protocols. It improves behavior in this regard. The present invention provides general protocol compliance and warning. Unlike this system, which focuses on the system as a whole, this system has a patient delivery process specific to the compilation unit of 30 It targets and not only issues warnings, but also, in cases of missing data or high risk It includes a workflow control mechanism that actively hinders the progress of the process. (Existing) The invention goes beyond passive warning systems by prompting the user to take necessary corrective steps. It creates an active security barrier that directs and blocks the process. 35 Patent document number CN115844346A describes the use of equipment for disease examination, observation, and treatment. The invention refers to a wireless physical parameter monitoring device. The invention has a physical indication. 6 sensor, signal collector, physical parameter analysis module and artificial intelligence algorithm module It includes a wearable device and a health management platform. The device monitors blood pressure, It continuously monitors oxygen saturation, pulse, respiration, body temperature, and heart rate. The electrocardiogram displays waveforms and pulse waveforms, and shows abnormalities. It can provide automatic alarms. The present invention enables wireless physical parameter monitoring and alarm 5. Unlike this system which focuses on delivery, the patient delivery process in the compilation unit SBAR-based mandatory digital checklist and missing data that ensures standardization. In this case, it includes a control mechanism that prevents the workflow. The present invention applies only to... Beyond monitoring physiological data and generating alarms, all clinical data is collected upon patient admission. This makes it mandatory to transmit the information completely and accurately, and with AI-based risk analysis, 10 The decision provides support. Patent document number US2025336543A1 describes instructions for assisting a patient. The system and method for creating it are discussed. The invention involves real-time sensors and... It includes a system that creates patient care instructions based on medical data. The system, movement, 15 It receives timestamped sensor data from a network of occupancy and environmental sensors, and medical records including the patient's medical conditions, treatment history, medication data, and biometric data. It collects data. Sensor data is enriched with room-specific information and pattern recognition is performed. Activity measurements such as mobility, sleep patterns, medication adherence, and statistical data can be taken using the model. Pattern data is generated in real time. Current activity patterns represent a potential 20 It is compared with baseline data to identify anomalies that indicate health risks, and A predictive model trained on patient data assesses the patient's health status. It creates care instructions. The present invention creates general patient care instructions. Unlike this system, which focuses on a specific patient delivery process for the compilation unit, this standardizes the process. It is a decision support system that enables and ensures mandatory workflow control in this process. The current 25 The invention actively involves the process, especially in situations involving missing data or high risk during patient delivery. It differs from this system with its stopping feature. Patent document number AU2021104518A4 describes monitoring the health of patients isolated at home. and a system for automatically requesting healthcare resources using artificial intelligence and 30 The method is being discussed. The invention involves using biomedical sensors to treat patients isolated at home. using remote monitoring and fully automated based on artificial intelligence models. It encompasses a system that requests healthcare resources in this manner. The present invention applies at home. Unlike this system, which focuses on isolation and remote patient monitoring, this in-hospital system... It is a decision support system for patient delivery and monitoring processes in the recovery unit. 35 The present invention focuses on the collection of clinical data during patient handover at the recovery unit, rather than at home. It has a structure that mandates complete data transfer and controls the workflow. 7 In patent document number WO2018163207A2, healthcare vital signs and from a device and system for recording information on an independent and mobile device The invention is described as a device that communicates with a distributed sensor system wirelessly or via Bluetooth. It includes a medical signal processor, and the health monitoring system processes patient health data into patient data 5. a patient connected to a communication network for transmission from the collection system to the provider analysis system It encompasses a data collection system. The present invention relates to the collection and transmission of general patient data. Unlike this focused system, the compilation unit has mandatory requirements specific to the patient handover process. digital checklist, standardized data entry in SBAR format, and troubleshooting in case of missing data. It includes an active control mechanism that prevents the flow. 10 Patent document US10855957B2 describes insurance billing for a remote mobile application. Wireless augmented video to detect and prevent fraud and physical assault. The system and method are discussed. The invention involves wireless augmented monitoring devices and cloud technology. It encompasses a system that includes a system monitoring center and a caregiver employment agency. Wireless 15 wearable augmented tracking devices, smart wearable name tag attachment, and smart wearable bracelet It includes a wireless cellular transceiver configured within the name tag apparatus, for detection. It transmits an augmented video stream in response to a reported event. The present invention is video-based. Unlike this system, which focuses on security and fraud detection, in the compilation unit ensuring the secure execution of patient delivery and monitoring processes and clinical data 20 It is a decision support system that offers AI-based risk analysis through integration. Patent document number WO2026090586A1 describes artificial intelligence-assisted clinical evaluation and The invention discusses intelligent agitation monitoring systems and methods through reporting. Analyzing actigraphy data and estimating Richmond Agitation-Sedation Scale score 25 This includes intelligent sensor systems that integrate machine learning models. The system continuously monitors physical movements using machine learning algorithms, Identifying patterns in this data and correlating them with sedation scores to improve patient health. Real-time, data-driven technology that supports informed decision-making about maintenance and interventions. It provides insights. The present invention allows for monitoring patient agitation and sedation levels. Unlike this system which focuses on patient delivery, the patient handover process in the compilation unit standardization, mandatory digital checklist in SBAR format, and missing data or It includes an active control mechanism that interrupts the workflow in high-risk situations. Patent document CN116439698A describes intensive care unit blood glucose monitoring and early detection (35). The warning method, system and device are described. The invention provides a real warning for each monitoring location. Sensor monitoring to automatically generate timely blood glucose measurement values. 8 It includes a system that provides configuration. The system is based on historical blood sugar data. Based on this, we evaluate the monitoring time points and detect instances where blood sugar upper and lower limits are exceeded. It determines the corresponding insulin pumping amounts. The present invention is suitable for intensive care. This system, which focuses on blood sugar monitoring and insulin dose adjustment in the unit, is different from that. Specifically, it covers the patient delivery and monitoring processes in the recovery unit, and patient delivery 5 an integrated decision support system that requires the complete transmission of all clinical parameters during the process It is a system. Patent document CA2754545A1 describes personal protection for individuals at risk of losing their independence. The invention refers to a safety device. It is a device that is fixed to the patient's thigh and positioned horizontally at 10°C. An audible signal is emitted via a gyroscopic sensor in case of a transition from a horizontal to a vertical position or in the event of a fall. The present invention includes a device that sends an alarm and radio frequency signal. It also covers falling and... Unlike this device, which focuses on detecting position changes, the patient in the recovery unit Clinical data integration, AI-based risk assessment covering all stages of the delivery process. It is an integrated decision support system that provides analysis and mandatory workflow control. 15 Patent document number JP2012148092A describes ventilation sensing and steering capabilities. The invention refers to an automated resuscitation device that delivers a defibrillation shock to the patient. an external automated device that delivers and assists the caregiver in performing cardiac resuscitation on the patient. This includes a defibrillation device. The device consists of 20 adhesive strips applied to the patient's chest. electrode pad supporting defibrillation electrodes and caregiver ventilation for the patient It includes pressure sensors configured to detect information related to the application. Unlike this device, which focuses on cardiac resuscitation and defibrillation, the present invention... It is an integrated decision support system for the patient delivery and monitoring process in the recovery unit. Patent document number AU2021101323A4 describes fall prevention and fall protection for elderly care facilities. The invention describes a fall detection and electronic fall event warning system. The invention is related to Microsoft Azure. Kinect uses its depth camera as the primary sensor to provide human body skeletal data. It includes a system that detects and monitors patient falls by at least a percentage. It detects with ninety percent accuracy and provides privacy protection. The present invention, fall 30 Unlike this system, which focuses on detection and prevention, patient delivery at the recovery unit A mandatory digital checklist in SBAR format, which ensures the standardization of the process, clinical and Integration of sensor data and preventing workflow disruptions in case of missing data or high risk. It includes an active control mechanism. 35 Patent document number WO2024006868A1 describes the release of iatrogenic cytokines in treated patients. a system for safely monitoring patients at risk of syndrome 9 It is stated that the invention is a cytokine release syndrome prediction system via patient care. combining physiological data obtained from sensor devices associated with the monitored patient and It uses a machine learning model to analyze data provided by the patient. The system estimates the probability and predicted severity of a cytokine release syndrome event. It generates a prediction showing whether the patient's condition will improve in the future and gives an idea of ​​5. It can generate a related result. The present invention focuses on predicting a specific syndrome. Unlike the system, the patient handover process in the compilation unit is secure. enabling its implementation and integration of clinical data, AI-based risk analysis, and mandatory tasks. It is an integrated decision support system that offers workflow control. Patent document number WO2024189650A1 describes the secure electronic health and medical records. The invention describes a system and method for managing medical data. It aims to improve medical data security and patient safety. to improve care and diagnostic efficiency and health record management in healthcare institutions a private blockchain-enabled smart Internet of Things gateway device to automate It includes. The system consists of at least one user, patient authentication unit, sensor unit, smart 15 The medical device includes a gateway, a communication network, and at least one server. The present invention relates to healthcare. Unlike this system, which focuses on secure management of records and data privacy, compilation SBAR ensures that the patient handover process in the unit is carried out in a safe and standardized manner. a mandatory digital checklist based on data loss and an active control that prevents workflow disruption. It is a decision support system with a mechanism. 20 Patent document CN118217544A describes automatic positioning for laser spot removal. The control system and control method are discussed. The invention includes sensor components and control. The unit integrates a laser and human-machine interaction unit, measuring the color, texture, and temperature of the skin. Monitoring parameters such as these in real time and using intelligent algorithms to precisely control the laser head... It encompasses a system that enables its positioning. The present invention applies to dermatological treatment and Unlike this system which focuses on laser positioning, patient delivery in the recovery unit and an integrated system that provides clinical decision support and workflow control for monitoring processes. It is a system. Patent document number WO2022072838A1 describes a contactless monitoring system. The invention uses multiple sensors to continuously and non-invasively monitor a human subject. This includes a contactless monitoring device that combines sensor data to track health status. It predicts the health status of subjects, including through sensors and imaging. These sensors may include radar sensors and sound sensors. The present invention describes contactless monitoring 35 Unlike this system, which focuses on sensor data fusion, the patient is in the compilation unit. Mandatory digital checklist specific to the delivery process, data standardized in SBAR format. It includes an active control mechanism that interrupts the workflow in case of input or missing data. Patent document number AU2021107417A4 describes smart health for industrial and societal purposes. The discussion focuses on a cloud-based architecture for the services system. The invention provides healthcare to patients. providing services and offering automated health diagnostic capabilities, sensors, data analyzers, systems The invention encompasses a system including devices, cloud systems, and actuators. The present invention, in general Unlike this system, which focuses on healthcare architecture and automated diagnosis, the compilation Clinical decision support and mandatory workflow control specific to the patient delivery and monitoring process in the unit. It is an integrated system that provides 10 Patent document number CN112489745A describes a sensing device and application for medical facilities. The method is being discussed. The invention involves capturing images by sensors such as digital cameras. Based on the patient's images, a two or three-dimensional model of the patient's human body can be created. It includes a modular and scalable sensing device that generates data over time. Body 15 the model improves the speed, accuracy, and consistency of patient positioning for medical procedures. to improve, analyze the patient's physical condition with other medical scan images to correlate and facilitate surgical navigation, patient monitoring and process automation It can be used. The present invention enables image-based body modeling and patient positioning. Unlike this system which focuses on patient delivery, the patient handover process in the compilation unit is secure and 20 SBAR-based mandatory digital checklist, which ensures that clinical and other procedures are carried out in a standardized manner. An integrated decision-making system that offers sensor data integration and AI-based risk analysis. It is a support system. Patent document CA3086557A1 describes one or more 25-inch containers contaminated with biological agents. Methods for organizing the disinfection of multiple items are discussed. The invention, for organizing disinfection processes manually or automatically systems for detecting disinfection dose through methods and sensors It encompasses the present invention, disinfection organization, and sterilization management. Unlike this system which focuses on patient delivery and monitoring processes, the compilation unit has 30 It is an integrated system that provides clinical decision support and workflow control. Investigations revealed that the patient admission, monitoring, and discharge processes in the recovery units were flawed. Existing technological solutions for implementation are crucial in ensuring patient safety and clinical performance. It appears that there are significant limitations in standardizing processes. Known systems, patient 35 data collection, monitoring of physiological parameters and electronic patient records These systems are capable of performing functions such as updating data, and the vast majority of these systems handle data. 11 It is designed for the purpose of collecting and recording patients. However, in current systems, patients There is no mandatory checklist or verification mechanism specific to the delivery process. Clinical data is mostly conveyed through verbal communication and personal experience, patient Physiological data obtained from monitors and sensors are integrated into the decision-making process. This is not being done and any 5 that could halt the workflow in case of missing data or high risk. It does not include a control mechanism. Furthermore, in existing systems, during patient delivery... Standard communication protocols such as SBAR must be implemented systematically in a digital environment. There is no automation to enable its implementation, critical changes in vital signs or Clinical risks are often detected late, and near misses are systematically recorded. This invention overcomes all these shortcomings in the current technology, enabling QR or barcode 10 Patient identity verification system based on patient status assessment format, mandatory digital control. the list includes an AI-based risk assessment module with clinical and physiological data integration. It offers an integrated decision support system that brings together all the collected data. In the invention, all the collected data is synchronized. By analyzing the situation over time, a dynamic and objective risk score is generated for the patient, and the results are delivered. Missing or incorrect data entry in the checklist, presence of critical clinical values, or high risk 15 When the score is determined, the patient delivery and monitoring workflow proceeds automatically. The system is blocked, and the user is directed to the mandatory correction and approval steps. The invention, an active safety barrier, unlike traditional systems that only provide passive warnings. It creates a system that directly enhances patient and employee safety, and systematically prevents near misses. It allows for their registration and simplifies the patient handover process in the compilation units. By standardizing, it minimizes human error, enables early detection of clinical risks, and integrated into existing hospital information management systems or as a standalone software platform. It offers an innovative solution that can be implemented. Ultimately, the problems mentioned above, which cannot be solved with the current technology, are related to technical issues. 25 This has made it necessary to make an innovation in the field. A BRIEF DESCRIPTION OF THE INVENTION The present invention has been developed to eliminate the technical shortcomings mentioned above. 30 with AI-powered decision support and control system for patient safety in the recovery unit It is related. The main purpose of the invention is to ensure the safe processes of patient admission, monitoring and delivery in recovery units. an integrated decision support system that ensures the execution of decisions in a standardized and controllable manner The aim is to provide this information. In this way, critical clinical information is delivered completely and accurately during patient handover. by making its transmission mandatory, the traditional 35 based on oral communication and personal experience Data losses, misunderstandings, and lack of information caused by the applications are resolved. 12 Another aim of the invention is to improve patient monitoring and risk analysis through an AI-based risk analysis module. The aim is to provide an objective and dynamic clinical evaluation during the delivery process. The collected physiological Data, clinical parameters, and sensor outputs are analyzed simultaneously for the patient. A quantitative risk score is created; thus, critical changes in vital signs and clinical risks are identified. It is detected early, regardless of human interpretation. 5 Another aim of the invention is to reduce human error in clinical processes through a mandatory workflow control mechanism. The goal is to create an active security barrier that minimizes missing data entry and skipped clinical procedures. In the face of parameters or high-risk patient situations, patient delivery and monitoring workflow Progress is automatically blocked, and the user is required to take correction and approval steps. redirected 10 Another aim of the invention is to make the patient handover process a mandatory digital format for status assessment. By standardizing with a checklist, individual differences in clinical practice are eliminated. The goal is to eliminate this. This ensures that all critical information that needs to be transmitted during delivery is systematically organized. This ensures that records are kept and used in situations such as staff density or shift changes. Even patient safety is not compromised. 15 Another aim of the invention is to analyze physiological data obtained from patient monitors and wearable sensors. By integrating data into decision support mechanisms, the clinical decision-making process The goal is to make it data-driven. Oxygen saturation, patient mobility, fall risk, and intravenous By evaluating parameters such as line stability together, information about the patient's condition is obtained. A holistic picture is obtained, and delays are prevented in situations requiring intervention. 20 Another aim of the invention is to systematically record near misses and clinical errors. The aim is to create a cycle of continuous improvement and learning by ensuring that these are received. In this way, By analyzing the recorded events, process improvements can be made, and similar mistakes can be prevented from recurring. This is prevented, and a patient safety culture is strengthened institutionally. Another aim of the invention is to directly improve patient and staff safety in recovery units, 25 The aim is to offer a system that is feasible and can be integrated into a real hospital environment. The current system... The invention, designed to work seamlessly with hospital information management systems, is an independent creation. Thanks to its applicability as a software platform or modular structure, it enables healthcare institutions to... It can be easily adapted to the existing infrastructure. Another aim of the invention is to create more predictable and safer clinical processes in postoperative care. The goal is to improve the quality of healthcare delivery by enabling the achievement of results. Only Unlike passive systems that only give warnings, it actively controls and directs the process. 13 With this structure, unwanted events that may occur in the compilation unit are prevented and Patient safety is maximized. All the purposes mentioned above and those that will emerge from the detailed explanation below. The present invention is designed to facilitate patient admission, monitoring, and delivery in the compilation unit. Integrated decision-making ensures that processes are carried out in a safe, standardized and controllable manner. It relates to the support system. This system handles the patient admission and discharge processes. where the procedure is performed, postoperative patient monitoring is carried out, healthcare personnel are on duty, and most A Review Unit with a limited number of physiological parameter measuring devices, as mentioned Located within the Recovery Unit, it stores patient identification information and clinical data, and At least one Patient Identification Element accessible via optical scanning, mentioned in Compilation 10. By reading the Patient Identification Element located within the unit, the patient's identity can be determined. An optical scanner that performs the verification and ensures the transfer of patient data to the system. The reader will find within the aforementioned Compilation Unit the patient's condition and background information. a standard format digital checklist containing information, clinical evaluation and recommendations Digital 15 provides information and ensures that all fields included in this list are filled in. The Delivery Checklist Module is located within the aforementioned Compilation Unit and is mentioned in the aforementioned section. The health system works in conjunction with the aforementioned Digital Delivery Checklist Module via an Optical Reader. A Clinical Data Entry Interface that allows staff to enter patient data. Measurement of the aforementioned physiological parameters located within the mentioned Recovery Unit devices that can be connected to monitor the patient's oxygen saturation, heart rate, blood pressure, and respiration. real-time data on patient count, body temperature, patient mobility, and intravenous line stability. A Physiological Data Integration Module, which collects this data, is located within the aforementioned Compilation Unit. the aforementioned Clinical Data Entry Interface and the aforementioned Physiological Data Integration Module It analyzes all clinical and physiological data collected through this medium and uses algorithms to perform calculations based on this data. An Artificial Intelligence that generates a quantitative risk score and performs a risk assessment. 25 The Risk Analysis Module based on data collection is located within the aforementioned Compilation Unit. When missing or incorrect data entry is detected in the Digital Delivery Checklist Module, the aforementioned Determining the presence of critical clinical values ​​through the Physiological Data Integration Module. in case of or risk generated by the aforementioned AI-Based Risk Analysis Module If the score exceeds the predefined threshold value, the patient delivery and monitoring workflow will be 30. automatically halts progress, forcing the user to make corrections and approvals. A Workflow Controller guides and records all operations performed throughout the process. The module, located within the aforementioned Compilation Unit, covers clinical events and related topics for healthcare personnel. enabling them to report near miss situations and systematically record these reports. An Event and Near Miss Notification Module that handles the recording is mentioned in Compilation 35. The aforementioned Workflow Control Module and the aforementioned Event and Rare Tracking Module are located within the unit. 14 Analyzing data collected through the Kala Notification Module and focusing on process improvements. It includes a Data Analysis Module that generates reports and the aforementioned Compilation Unit, The system enables data communication and integration between all the modules mentioned, within the hospital. a Central Administration that enables it to work in harmony with information management systems It includes the server. 5 The best way to utilize the advantages of the existing invention, together with its structure and additional elements. For it to be understood, it must be considered together with the figures explained below. BRIEF DESCRIPTION OF THE FIGURES Figure 1: AI-powered decision support and control for patient safety in the recovery unit 10 This is a schematic view of the system. REFERENCE NUMBERS 1. Compilation Unit 2. Patient Identification Element 15 3. Optical Reader 4. Digital Delivery Checklist Module 5. Clinical Data Entry Interface 6. Physiological Data Integration Module 7. Artificial Intelligence-Based Risk Analysis Module 20 8. Workflow Control Module 9. Incident and Near Miss Notification Module 10. Data Analysis Module 11. Central Administration Server DETAILED DESCRIPTION OF THE INVENTION This detailed explanation focuses solely on the innovation in the invention to provide a better understanding of the subject matter. This is conveyed without being limited to examples. Accordingly, in the following explanations and figures, AI-powered decision support and control system for patient safety in the recovery unit. It is explained. 30 Figure 1 shows AI-powered decision support and control for patient safety in the recovery unit. This is a schematic view of the system. Accordingly, the system is: • Where patient admission and discharge processes are carried out, and postoperative patient monitoring is performed. where the procedure is performed, healthcare personnel are on duty, and at least one physiological parameter is measured. a Compilation Unit (1) where the device is located, • The patient’s identification information and clinical information are located within the aforementioned Compilation Unit (1). at least one Patient Identification Number 5 that stores data and is accessible via optical reading. Element (2), • Patient Identification, which is included in the aforementioned Compilation Unit (1). Perform patient identity verification by reading element (2) and patient data An Optical Reader (3) that enables the transfer to the system, • Located within the aforementioned Compilation Unit (1), the patient's condition, background 10 standard format digital control containing information, clinical evaluation and recommendations. a list is provided, and all fields on this list must be filled in. a Digital Delivery Checklist Module (4) that provides • Located within the aforementioned Compilation Unit (1) and with the aforementioned Optical Reader (3) working in conjunction with the aforementioned Digital Delivery Checklist Module (4), health 15 A Clinical Data Entry system that allows staff to enter patient data. Interface (5), • Physiological parameters mentioned within the aforementioned Compilation Unit (1) It can be connected to measuring devices and monitor the patient's oxygen saturation, heart rate, blood pressure, etc. blood pressure, respiratory rate, body temperature, patient mobility, and intravenous line stability 20 A Physiological Data Integration Module (6) that collects data in real time, • The aforementioned Clinical Data Entry Interface, located within the aforementioned Compilation Unit (1). (5) and all clinical data collected through the aforementioned Physiological Data Integration Module (6) and analyzes physiological data, and uses this data to algorithmically determine quantitative risk. An AI-based risk analysis system that generates a score and performs risk assessment. 25 Module (7), • The aforementioned Digital Delivery Control located within the aforementioned Compilation Unit (1) When missing or incorrect data entry is detected in the List Module (4), the aforementioned Physiological Determining the presence of critical clinical values ​​through the Data Integration Module (6) in case of or by the aforementioned Artificial Intelligence Based Risk Analysis Module (7) 30 If the generated risk score exceeds a predefined threshold, the patient will be discharged and... automatically halts the progress of the monitoring workflow, prompting the user for mandatory correction and It guides you through the approval steps and records all the actions performed throughout the process. a Workflow Control Module (8), • Clinical events of healthcare personnel and 35 included in the aforementioned Compilation Unit (1). enabling them to report near miss situations and systematically record these reports. An Event and Near Miss Notification Module (9) that performs recording, 16 • The mentioned Workflow Control Module located within the mentioned Compilation Unit (1) (8) and data collected through the aforementioned Incident and Near Miss Notification Module (9) A Data Analysis Module that analyzes and generates reports for process improvements. (10) and • Among all the modules mentioned within the aforementioned Compilation Unit (1) 5 enabling data communication and integration, the system with hospital information management systems A Central Management Server (11) that enables compatible operation It includes. The subject of the invention is an integrated decision support system for patient admission and monitoring within the Compilation Unit (1). and to ensure that delivery processes are carried out in a secure and standardized manner 10 It has been improved and its working principle is patient identity verification, mandatory digital checklist, physiological data integration, AI-based risk analysis, and workflow control mechanism. It is based on working together in an integrated way. The system, the patient's Recovery Unit It is started with the acceptance to (1) and at this stage the Patient Identification Element (2) belonging to the patient, Patient identity verification is performed by reading by the Optical Reader (3) and patient data is recorded on 15 is transferred to the system. After identity verification, the Digital Delivery Checklist Module (4) It intervenes and informs healthcare personnel about the patient's condition, background information, and clinical details. It provides a standard formatted digital checklist containing evaluations and recommendations; this list includes All fields are required to be filled in by healthcare personnel Clinical Data Entry Interface (5) It enters patient data into the system via this method. Simultaneously, Physiological Data Integration Module 20 (6), by connecting to the physiological parameter measuring devices located in the Recovery Unit (1) patient's oxygen saturation, heart rate, blood pressure, respiratory rate, body temperature, patient It collects mobility and intravenous line stability data in real time. All collected data... Clinical and physiological data are transmitted to the Artificial Intelligence Based Risk Analysis Module (7), and this module, By generating a quantitative risk score algorithmically based on the mentioned data, risk 25 It performs the evaluation. At the most critical stage of the system, the Workflow Control Module (8), Digital When missing or incorrect data entry is detected in the Delivery Checklist Module (4), Determining the presence of critical clinical values ​​through the Physiological Data Integration Module (6). in case of or risk score generated by the Artificial Intelligence Based Risk Analysis Module (7) If the predefined threshold value is exceeded, the patient delivery and monitoring workflow will stop progressing for 30 days. It automatically stops the process, directs the user to mandatory correction and confirmation steps, and the process It records all operations performed throughout the process. During this process, Incident and Near Miss Notifications are recorded. Module (9) enables healthcare personnel to report clinical events and near miss situations. This is provided and these notifications are systematically recorded. Data collected throughout all these stages. and the processes carried out are analyzed by the Data Analysis Module (10) and process 35 Reports are generated for improvements. Data communication between all modules of the system and Integration is provided by the Central Management Server (11), which is the same server 17 This also enables the system to work seamlessly with hospital information management systems. Thanks to its integrated and closed-loop operating principle, the patient handover process in the compilation unit Standardization is taking place, human error is being minimized, and clinical risks are being detected early. And patient and staff safety is actively protected. 10 20

Claims

18 REQUESTS 1. AI-powered decision support and control for patient safety in the recovery unit. its feature is that it is a system • Where patient admission and discharge processes are carried out, and postoperative patient monitoring is performed, 5 where healthcare personnel are on duty and at least one physiological parameter measuring device is available. a Compilation Unit (1) • The patient’s identification information and clinical information are located within the aforementioned Compilation Unit (1). at least one Patient Identification Number that stores data and is accessible via optical reading. Element (2), • Patient Identification 10, which is included in the aforementioned Compilation Unit (1). Perform patient identity verification by reading element (2) and patient data An Optical Reader (3) that enables the transfer to the system, • Within the aforementioned Compilation Unit (1), the patient's condition, background standard format digital control containing information, clinical evaluation and recommendations. 15 a Digital Delivery Checklist Module (4) that provides • Located within the aforementioned Compilation Unit (1) and with the aforementioned Optical Reader (3) working in conjunction with the aforementioned Digital Delivery Checklist Module (4), health A Clinical Data Entry system that allows staff to enter patient data. Interface (5), 20 • Physiological parameters mentioned within the aforementioned Compilation Unit (1) It can be connected to measuring devices and monitor the patient's oxygen saturation, heart rate, blood pressure, etc. blood pressure, respiratory rate, body temperature, patient mobility, and intravenous line stability A Physiological Data Integration Module (6) that collects data in real time, • The aforementioned Clinical Data Entry Interface 25, which is included in the aforementioned Compilation Unit (1). (5) and all clinical data collected through the aforementioned Physiological Data Integration Module (6) and analyzes physiological data, and uses this data to algorithmically determine quantitative risk. An AI-based risk analyzer that generates a score and performs a risk assessment. Module (7), • Digital Delivery Control 30, located within the aforementioned Compilation Unit (1). When missing or incorrect data entry is detected in the List Module (4), the aforementioned Physiological Determining the presence of critical clinical values ​​through the Data Integration Module (6) in case of or by the aforementioned Artificial Intelligence Based Risk Analysis Module (7) If the generated risk score exceeds a predefined threshold, the patient will be discharged and... Automatically halts the progress of the monitoring workflow, prompting the user for mandatory correction and 35 19 It guides you through the approval steps and records all the actions performed throughout the process. a Workflow Control Module (8), • Clinical events of healthcare personnel located within the aforementioned Compilation Unit (1) and enabling them to report near miss situations and systematically record these reports. An Event and Near Miss Notification Module (9) which performs the recording, 5 • The mentioned Workflow Control Module located within the mentioned Compilation Unit (1) (8) and data collected through the aforementioned Incident and Near Miss Notification Module (9) A Data Analysis Module that analyzes and generates reports for process improvements. (10) and • Among all the modules mentioned within the aforementioned Compilation Unit (1) are 10 enabling data communication and integration, the system with hospital information management systems A Central Management Server (11) that enables compatible operation It is characterized by its inclusion. 20 30 35

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