Rationale and Objectives

The use of digital technology can bring benefits to citizens' health and patient care, but the challenge is significant. Preparing for the future involves a transition that starts by empowering healthcare professionals with digital skills to respond to the increasing complexity of the health system and society.

Objectives of the Digital Transition in Health Training Program:

• Understand how digital technologies will impact various areas of health. It is essential to assess how artificial intelligence (AI), robotic systems, mobile dependence, big data, social media usage, and virtual care models, among others, are causing substantial changes in the health system, and will continue to do so.

• Evaluate the scenarios that may emerge from the implementation of digital technology in different areas of health, making a preliminary assessment of the changes to come, their consequences, and what will need to be done to adapt to them.

Content

The program of activities is structured into three blocks:

1. MAP. Focuses on understanding key concepts of various technologies through examples and visualizing a comprehensive map of the digital world. (2 sessions of 3 hours each)

2. APPLICATIONS. Assesses how technologies, as a whole, impact various areas of health and drive changes. (2 sessions of 3 hours each)

3. SCENARIOS. Focuses on making a rational forecast of the impact of digital technologies, applying scenario planning methodology. (1 session of 3 hours)

Methodology

Sessions 1 to 4 are organized by modules.

In 4 sessions of 3 hours each, a total of 8 interactive study modules will be covered. The first two sessions will create the map, and the next two will conduct a systematic review of the "digital technology-health" state of the art.

Each module lasts about 90 minutes and consists of:

• Initial presentation of basic concepts: 20 minutes.

• Review of signals: facts, companies, or research, among others, that contextualize the module's concepts in a current and real environment. 40 minutes.

• 4 reflection and debate questions: 30 minutes.

Throughout the session, various participatory digital techniques will be applied.

Session 5 applies a work methodology based on future studies techniques.

Session 5, also lasting 3 hours, is designed as a tasting of what conducting a future intelligence exercise entails, assessing the impact of digital technology in various health areas.

Various collective intelligence techniques will be applied.

Teaching Team

Since the first generative AI tools became available, we have been working intensively; we know all the resources and can offer the best advice. If you have suggestions or want to discuss the application of AI in innovation or future vision, here are our contacts.

• Michelle Catta-PretaCEO and co-founder of Innex and SmartDelphi. Innovation consultant. Collective Intelligence researcher at UPC. Professor of AI applied to e-Health in the Erasmus BIP at Deggendorf Institute of Technology.

• Àlex TrejoCTO and co-founder of Innex and SmartDelphi. Associate Professor of Design Engineering at UPC. Expert in the application of generative AI technologies in health.

• Jan FerrerDirector and co-founder of the Institute for the Future. UPC researcher in the field of Collective Intelligence. Participates in several projects at Innex applying digital tools in health.

• Josep Mª MonguetCRO and co-founder of Innex and SmartDelphi. Professor at UPC, head of the research line of Advanced Studies in Design UB-UPC.