<< Objectives >>In parallel with the digitalization strategy of the European Union, the main objective of our project is to prepare a basic guide for those working in roles with a lack of talent and to prepare and publish a scientific report and publication that will include the basic components and all processes of the rail systems industry, as part of the digitalization efforts in the rail systems industry. At the end of the project, it is aimed to achieve this goal.<< Implementation >>Throughout the project, 4 TPMs and 5 digital meetings will be held. An international final conference will be held as a dissemination activity.Within the scope of all activities, a basic railway information guide covering VET and in-service training in the rail systems sector will be prepared, for upskilling purposes.A sufficient number of trees will be planted in order to neutralize the carbon emissions arising from all the activities to be carried out in the scope of the project.<< Results >>* Reaching the determined quality results of the project, in time & budget* Supporting employees with continuous VET and technical training activities within the scope of digitalization, upskilling* Increasing industry communication & creating sustainable effects by coming together with industry stakeholders* Ensuring the effective use of the project outputs by the stakeholders of the sector* Taking an active role in digitalization studies in the sector, which is part of our future vision

Cardiorespiratory diseases and stroke are among the top four leading causes of death in the EU in prehospital settings. Urgent care services are in huge need of novel Point of care (POC) computing technologies that can specifically detect patient condition and enable Hospital information system (HIS) with real-time data for triaging patients for right care. Our goal in POC4TRIAGE is to develop robust and accurate POC technologies, from POC testing (devices) to POC systems (platform) that is capable of fast diagnosis and efficient transfer of data to HIS. We will develop and clinically validate four rapid (<10 min) easy-to-use, compact, cost- and energy-efficient POC devices with Edge AI computing models, to be used in ambulance & emergency room settings. POC4TRIAGE devices include a multimodal patch for real-time monitoring of cardiorespiratory data, novel sub-hairline non-invasive EEG based head caps for rapid stroke diagnosis, including detection of large vessel occlusion stroke, and a handheld, rapid immunodetector to diagnose stroke with clinical utility for various conditions. These devices integrate into a new Device Hospital Connectivity Platform (DHCP) that visualizes data, uses AI from multiple devices to triage and seamlessly integrates with hospital systems and clinical workflows. The POC devices and DHCP will be clinically validated. POC4TRIAGE brings together some of Europe's leading POC device developers, medical professionals and clinicians, patient representatives, ethics experts, data scientists, and health economists. POC4TRIAGE will shorten the time to treatment and improve clinical outcome. POC4TRIAGE has potential to revolutionize healthcare delivery, making it more accessible and efficient, traceable, and interpretable for patients and providers alike. As the POC device and computation market is growing fast, the new POC devices, real-time data analysis, and secure computing have potential for major economic impact.