Despite significant recent progress made by the EU industry, the level of digitalisation of industry remains uneven, depending on the sector, country and company size. Facing at the same time a scattered landscape of Research, Industry and Institutional stakeholders, the efficient adoption and transformation of enabling technologies into business visions & concrete market cases remain limited. This slow diffusion of digital technologies poses a risk to the EU’s ability to compete in the global economy. This is particularly true for Organic Large Area Electronics (OLAE) enabling technologies whose industry made significant progress recently and has established itself as a competitive growth industry. Despite proving that more and more products have matured onto the global market, the actual diffusion and efficient adoption of OLAE technologies remain limited. Underlying reasons and key challenges are identified (cost, processes, encapsulation, scalability, yield, standards & regulations), for which major breakthroughs are needed on use, production and cost rather than on basic technology, which reflects the growing market orientation of OLAE. To address both market & technology specific challenges, SmartEEs2 will be key role to link technology promises with real use/business cases. These cases will be implemented through a unique digitalisation experience providing experimentation, testing or support to manufacturing. SmartEEs2 will capitalize upon SmartEEs’ strong technological OLAE platform and focuss on the uptake of Flexible & Wearable Electronics enabling use cases, where OLAE can valorize its uniqueness (flexibility, conformability) and its promises for solutions in the fast growing business of wearables and Internet of Everything. SmartEEs2 will orchestrate a pan-EU collaboration network of Regional DIHs promoting the best quality level of digitalisation experience, hence boosting the efficiency and effectiveness of the overall OLAE European inDIH on Area3

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.