FSE2.0 and new technologies 2025–2026: the research and training program

The digital transformation of healthcare, driven by FSE2.0 (PNRR), also requires the introduction of artificial intelligence to improve diagnosis and treatment. However, the integration of these technologies is hindered by the “digital gap” among healthcare professionals, limited knowledge of algorithms, and concerns about the automation of clinical processes and telemedicine.

For this reason, “FormLab” was created — a research and laboratory-based training project developed by Azienda sanitaria universitaria integrata del Trentino (ASIUT, the Trentino University Integrated Healthcare System) and Fondazione Bruno Kessler (with TS4.0) with the following objectives:
🟢increase the digital skills of professionals in the provincial healthcare system and promote the use of FSE 2.0;
🟢encourage the informed use of AI in healthcare practice;
🟢demonstrate how structured FSE data enable the development and use of AI technologies;
🟢create synergies between healthcare professionals and researchers for innovative training and research that starts from clinical needs.

More precisely, the initiative is called the “Research and Laboratory Training Program – FSE2.0 and New Technologies 2025–2026” (FormLab_FSE) and represents a strategic partnership and co-design initiative between Fondazione Bruno Kessler, TrentinoSalute4.0, and ASUIT dedicated to developing a training action plan.

With the signing of the agreement in July 2025, the plan — officially launched last December — includes more than 70 meetings (20 training modules) designed together with the staff of the ASUIT Training Service. The program covers a range of topics and areas and is intended for all healthcare professionals in Trentino. It is delivered by researchers, project managers from TS4.0 and FBK, faculty members, and experts.

The training activities are part of the initiatives linked to the National Recovery and Resilience Plan (PNRR) “Mission 6 Health, Component 2, Investment 1.3 – Improving the input and consultation of the Electronic Health Records through targeted development of information systems – Sub-Investment 1.3.1 – Strengthening the technological infrastructure and tools for data collection, processing, analysis, and simulation (EHR) (b) ‘Adoption and use of EHR by Regions/Autonomous Provinces’.”

Two training sessions are scheduled for February, focusing on the fundamental principles and key stages in the development of artificial intelligence (AI) solutions.

The first session, which will take place online, focuses on “Introduction to AI for Medicine and Clinical Research” and provides an overview of AI, including its definition, historical development, and main areas of application. Particular attention will be devoted to the use of AI in clinical settings, with a focus on still-open challenges such as interpretability, reproducibility, and model sustainability. The module will conclude with an overview of recent developments in foundation models and the emergence of generative AI.

The second session, “AI Models on Clinical Data: A Practical Guide from Development to Interpretation,” will guide participants through the main stages of the process of building an artificial intelligence solution. Key elements characterizing each phase will be highlighted, from data collection and preparation to the interpretation of the results produced by the model.

At the end of the program, participants will have gained a solid understanding of the basic concepts and tools needed to critically and confidently evaluate AI-based solutions. The knowledge acquired will allow healthcare professionals to more effectively navigate scientific articles, technical documents, and news related to the application of AI in medicine. Digital skills among healthcare professionals will also be strengthened to support the adoption and use of the Electronic Health Records 2.0 in line with the objectives of the PNRR.

ession 1) Wednesday, February 25 from 9:00 a.m. to 10:30 a.m.
Session 2) Wednesday, February 25 from 3:00 p.m. to 4:30 p.m.

or

Session 2) Friday, February 27 from 10:00 a.m. to 11:30 a.m.
Session 1) Friday, February 27 from 3:00 p.m. to 4:30 p.m.

Download the flyer with the program ECM_Webinar_2026

In March, the training program will offer two additional in-depth sessions.

The first, in webinar format, will focus on “The Use of Large Language Models (LLMs) in Healthcare: Risks and Benefits of Generative AI and Possible Use Scenarios” and is scheduled as follows:
• Thursday, March 5 from 11:00 a.m. to 1:00 p.m.; or from 3:00 p.m. to 5:00 p.m.
• Wednesday, March 11 from 11:00 a.m. to 1:00 p.m.; or from 3:00 p.m. to 5:00 p.m.
• Thursday, March 12 from 3:00 p.m. to 5:00 p.m.

The webinar, offered on three different days and at different times to allow greater participation by healthcare staff, introduces the fundamental principles of generative artificial intelligence, with a particular focus on Large Language Models (LLMs), to explore the basic concepts underlying the use of these technologies. The potential risks and expected benefits of using these solutions in clinical practice will be discussed, using real case studies in which generative AI–based tools are applied. The module will also include a short hands-on session in which participants will explore some of the main limitations of the most widely used generative AI systems.

🖊️Registration for the webinars is available directly on the “Healthcare Training Portal” www.ecmtrento.it

The second training activity scheduled for March will take place in person and will focus on “Clinical Training and Digital Evaluation in Intensive Care: Using Digital Tools for the Design, Promotion, and Analysis of Factorial Surveys in Clinical Settings” on the following dates:
• Monday, March 2 from 3:00 p.m. to 5:00 p.m. at the ASUIT Training Service, Via Paolo Orsi 1 (Trento); or
• Monday, March 9 from 3:00 p.m. to 5:00 p.m. at the ASUIT Training Service, Via Paolo Orsi 1 (Trento).

These in-person meetings introduce the fundamental principles of factorial surveys to align all participants on the basic concepts related to the use of digital solutions in this field. A digital tool currently under development with the Anesthesia and Intensive Care Unit, called FaST (Factorial Survey Tool), will be presented, and participants will learn how clinicians can benefit from this tool to design factorial surveys and analyze the collected data. The module will include a hands-on session in which participants will create a small factorial survey using FaST.

🖊️Registration for the sessions is available by completing this form (maximum 20 participants per session): CLICK HERE

ECM accreditation – ECM Provider: ASUIT Training Service

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