WORK PACKAGE 7 OBJECTIVE
WP7 will deliver person-centred decision support tools for clinicians, helping screen and monitor the risks of multi-morbidity.
This includes both passive and active monitoring of an older person’s lifestyle, helping predict risk and deliver personalised interventions. WP7 will also develop a new GDPR-compliant data repository for STAGE.
This includes both passive and active monitoring of an older person’s lifestyle, helping predict risk and deliver personalised interventions. WP7 will also develop a new GDPR-compliant data repository for STAGE.
WHY IS WP7
IMPORTANT?
STAGE is focused on delivering tangible benefits for citizens across the EU.
By developing tools built on the research conducted in STAGE, we create opportunities for clinicians and patients across the EU to target interventions earlier.
These technology-focused solutions will help meet the diagnostic needs of Europe’s ageing population whilst encouraging healthy ageing.
WP7 Activities and Interlinkages
WP7 will draw on work from across the STAGE project. It will use the predictive algorithms and AI models developed by WP6, the work on multi-morbidity according to neighbourhoods conducted by WP3, the wider exposome predictors outlined in WP4, and molecular hallmarks of ageing identified in WP5. It will also work extensively with participants of the studies involved in WP8, where the technology interventions will be tested. Key tasks of WP7 include:
T7.1
Decision Support Tools
Creating personalised support tools for community primary
health care providers. They will help screen citizens for risk factors, offer preventative measures, and help proactively manage age-related conditions, utilising the research done in other WPs.
health care providers. They will help screen citizens for risk factors, offer preventative measures, and help proactively manage age-related conditions, utilising the research done in other WPs.
T7.2
Health and Intervention Monitoring
Passive and active monitoring of an older person’s lifestyle using the Ab.Acus mobile based application which will include live feeding of the AI models. This data will then also be used to refine the AI model. The health and intervention monitoring will be delivered to all participants of the Northern Finland Birth Cohorts (NFBC) 1966 study in WP8.
T7.3
Personalised Intervention
Providing a behaviour change intervention plan to 1,700 participants of the KORA study in WP8, using the LIVA platform. This will be a combination of remote training and coaching. AI models will assist in targeting interventions.
T7.4
Integration of Applications and Solutions
Integrating person-centred applications and solutions for clinicians and ageing citizens. A system will be developed to enable seamless data exchange between the decision support tool, the health monitoring tool, and the intervention delivery platform. This work will be closely coordinated with WP9.
WP7 KEY OUTPUTS
Support Tools
Status: Ongoing
Personalised Interventions
Status: To be developed
Lifestyle and Intervention Monitoring
Status: Ongoing
STAGE application platform
Status: To be developed
WP7 STAKEHOLDER
IMPACTS
- Help older citizens prevent, monitor and manage progression of age-related diseases, while promoting healthy lifestyles and ageing in place.
- Primary and community-based health cand care services will be better equipped to early identify people at risk of developing non-communicable diseases and to implement new intervention tools into these services.
WP7 PARTNERS
With support from many of the STAGE partners, WP7 tasks are being undertaken by:
Software Research and Development Consultancy
Work Package Co-Lead
Turkey
Liva Healthcare
Work Package Partner
Denmark
Helmholtz Centrum Munich
Work Package Partner
Germany
Ab.Acus
Work Package Partner
Italy
University of Barcelona
Work Package Partner
Spain
University of Oulu
Work Package Partner
Finland
“Creating tools and solutions for stakeholders will provide data-driven advice to our communities on how to move towards healthy ageing. WP7 will ensure that high-quality data can be gathered, analysed, and understood, and turned into integrated tools and interventions for both clinicians and ageing citizens across Europe.”
Gokce Banu Laleci Erturkmen and Maria Bulgheroni, WP Co-Leaders
Meet some of the WP7 partners in the video interview below and learn more about the work conducted by the work package
Previous:
WP6
Personalised AI-driven predictive modelling of ageing without multi-morbidity
Next:
WP8
Life-course informed, person-centred clinical studies for the prevention of ageing with multi-morbidity
SUBSCRIBE TO OUR NEWSLETTER
Join our mailing list to receive the latest project news
Your subscription
By subscribing to this list, you accept to receive information about events, news and/or newsletters about the STAGE project. The personal data collected will only be used to send you the newsletter(s) you chose to opt in to above. You can change your mind at any time by clicking the "unsubscribe" link in the footer of any email you receive from us. We will treat your information with respect.
