SMART INTENSIVE CARE SYSTEM IoT based artificial intelligence supported intensive care information management system (MIS-IOT system)

Project no. 22608 · Status: Kapanmış (Yayın bekleniyor) · 2021

Summary

Thanks to the smart intensive care system; monitoring the medical parameters of the patients, calculating the medical scores specific to the intensive care unit (Glaskow Coma Scale - GKS, Apache II, SOFA, SAPS, Sedation etc.) and reporting the results, creating reporting and quality measurement tools, follow-up in the intensive care units (ICU) and treatments, electronic recording of medical processes, planning of treatment processes through the system; It has been designed and produced as a safe system for the patient, which protects healthcare professionals by minimizing patient contacts, especially in intensive care units where the possibility of transmission is highest, with the Internet of Things-based artificial intelligence supported intensive care information management system (MIS-IOT). Thanks to this system installed in intensive care units, the patient can be followed remotely. The senior management and health authority were able to remotely and continuously control issues such as the working quality of health workers, the availability of empty beds, and the appropriate use of beds, and had the opportunity to access information anytime, anywhere. In the first stage, “Protocol Converter” was developed within the scope of the Project. In this way, information from different brands of medical devices (bedside monitor, ventilator, infusion pump (perfuser), blood gas devices, hemodialysis devices, EKG, EMG, etc.) could be gathered in one place. A central language converter device has been developed where the languages of all medical devices are collected. The electronic device, which has been specially developed to communicate with the medical device, reads the data from the medical device and instantly shares the data with YBS-IOT with the network socket connection configured with Node.js. YBBYS, whose interface is developed with ASP.NET, can be integrated into protocol and brand independent medical devices. Devices Integrated within the scope of the project: Monitor: Philips MX700 / MX800, Ventilator: Dräger Infinity C300 / C500 and Hamilton Raphael. Thanks to this language converter, it has combined different medical device languages (HL7, FHIR, XML, manufacturers' Specific protocols). In this way, all device integration was integrated with a single device and this hospital was integrated into the electronic file system. All devices with direct data sharing capability can be integrated into MIS-IOT within the scope of the protocol and approval of the manufacturers.In our project, the data transferred to the central intelligent software system, thanks to the Protocol Converter, is processed with a machine learning algorithm, created in an advanced algorithm to help physicians diagnose sepsis early, identify already made diagnoses and potential suspected sepsis cases in electronic health records, and even definitive cases of sepsis or septic shock.Protocol Converter Different brands of medical devices to each other, hospital electronic file system and thanks to this software, the recognition of sepsis by artificial intelligence by machine learning, warning physicians, directing their treatment; It makes our project a unique, innovative and pioneering project in its field.Our project was transferred to Ege University Medical Faculty Hospital Chief Physician with the handover protocol dated 04.July.2023. YBS-IOT has started to be used in the intensive care unit of Ege University Anesthesia Intensive Care and Emergency Medicine Department. YBS-IOT system is completely domestic and national software.

View details