PREDICTOM Public Ambassador Group met online in March

12/03/2025

On 12 March, five members from of the Public Ambassador Group (PAG) met online for the IHI-funded PREDICTOM research project. PREDICTOM is an international cross-sector research project dedicated to early dementia detection using an AI-driven screening platform, making early dementia screening more accessible through simple home-based tests. The session’s focus was on the period between the first and second stage of the participant journey and the expectations as well as potential needs around feedback for participants. During the meeting, the PAG members discussed the need for transparency, clarity and differentiation between personal and general feedback. Moreover, they highlighted that feedback needs to be meaningful as well as in a lay-friendly format. 

To quote one member of the PAG: “Any feedback has to mean something. […] You have to give feedback that people can understand and can judge their own position from.” The members' input and perspectives were invaluable to the project partners and shed light on aspects relevant well beyond the scope of the PREDICTOM research project. The session was facilitated by Sarah Campill, Public Involvement Officer at Alzheimer Europe, who was joined by project partners from Stavanger University Hospital (Norway), King’s College London (United Kingdom) and the University of Exeter (United Kingdopm). The insights shared were of great importance and very timely, considering the speed at which the field of dementia risk detection is developing. 

For further information about PREDICTOM, please visit the project’s website: www.predictom.eu PREDICTOM is supported by the Innovative Health Initiative Joint Undertaking (IHI JU), under Grant Agreement No 101132356. JU receives support from the European Union’s Horizon Europe research and innovation programme, COCIR, EFPIA, EuropaBio, MedTechEurope and Vaccines Europe. The UK participants are supported by UKRI Grant No 10083467 (National Institute for Health and Care Excellence), Grant No 10083181 (King's College London), and Grant No 10091560 (University of Exeter). University of Geneva is supported by the Swiss State Secretariat for Education, Research and Innovation Ref No 113152304. For more details: www.ihi.europa.eu