Event
Webinar: Insights from Large-Scale Multi-Stakeholder collaboration in Healthcare tool design
In this SmartCHANGE´s webinar our facilitators and designers will share information and insights gained from a six-month, multi-stakeholder co-design process in healthcare, which involved numerous sessions with participants from various countries.
English
Free of charge
Purpose & Scope
Non-communicable diseases (NCDs) are a significant global health challenge, accounting for 74% of deaths worldwide. Addressing their origins, which include genetic, environmental, and lifestyle factors, through prevention efforts aimed at children and adolescents can yield lasting benefits.
E-health technologies offer great potential in NCD prevention but face several challenges, including implementation gaps and inconsistent outcomes. Engaging end-users in the design of e-health solutions enhances their effectiveness and relevance. The SmartCHANGE project, funded by the EU, aims to improve risk prediction and promote healthier behaviours among youth via an AI-based e-health platform and mobile apps. This webinar will explore the co-design process, sharing insights and best practices from designers and researchers involved in this initiative.
What to expect?
In this second webinar of the SmartCHANGE's series, our facilitators and designers will share information and insights gained from a six-month, multi-stakeholder co-design process in healthcare, which involved numerous sessions with participants from various countries.
Who's the ideal audience?
- UX/UI designers & researchers in healthcare
- Healthcare professionals
- Healthcare administrators & policymakers
- Co-design facilitators
Why attending?
- Learn best practices for multi-stakeholder co-design
- Understand the challenges of designing cross-border solutions
- Exchange information and opinions with our experts from your own experience
More information and register -> SmartChange website
SmartCHANGE is a research project of the Europe Horizon program, which utilizes artificial intelligence in the monitoring of long-term health data. Likes' part in the international project is to develop and test the application in the school and health care environment, as well as to produce health data for the prediction model.