If you are a health insurer struggling to predict healthcare costs across diverse member populations — this project developed a big data platform with forecasting and causal analysis tools that group members by health determinants (demographics, diseases, lifestyle) and simulate the impact of prevention programs before you fund them. The platform was validated across 5 pilots in different healthcare environments.
Big Data Platform That Turns Population Health Records Into Smarter Public Health Policies
Imagine you could take health data from millions of people — hospital visits, lifestyle habits, where they live, what they eat — and group them into communities that share similar profiles. That's what CrowdHEALTH built: a platform that pools all these health factors together, finds patterns across population groups, and lets policymakers simulate "what if" scenarios before rolling out new health programs. Think of it like a flight simulator, but for public health decisions — you can test a prevention strategy on a virtual population before spending real money. The system was tested across 5 real-world pilots in care centers, social networks, and living labs across Europe.
What needed solving
Health authorities and insurers make population health decisions based on fragmented data — hospital records sit in one system, lifestyle data in another, social determinants somewhere else. Without a unified view, prevention programs are designed on incomplete evidence, leading to wasted budgets and missed health outcomes. There is no easy way to simulate the impact of a new health policy before committing millions to its rollout.
What was built
The project built an integrated big data platform with 12 software prototypes: a Policy Development Toolkit for creating and simulating health policies with KPI tracking, data gateway APIs for unifying health records from multiple sources, forecasting and causal analysis modules, a security and privacy framework, and a mobile app (published on Google Play). All components were tested across 5 real-world pilots.
Who needs this
Who can put this to work
If you are a public health agency that needs to design evidence-based prevention policies but lacks tools to model outcomes across different population segments — this project built a Policy Development Toolkit with KPI tracking and risk analysis that lets you create, simulate, and evaluate health policies at area, regional, or national level. The toolkit was developed by a consortium of 24 partners across 11 countries.
If you are a health IT company looking to add population analytics and interoperability features to your platform — this project created advanced data gateway APIs and interoperability modules that integrate health data from multiple sources into unified records. The system includes 12 demonstrated software prototypes covering data integration, security, and analytics.
Quick answers
What would it cost to license or adopt this technology?
The project received EUR 4,999,550 in EU funding and was coordinated by ATOS Spain, a major IT services company. Licensing terms are not publicly documented. You would need to contact ATOS or consortium partners directly to discuss commercial terms for the platform components.
Can this scale to handle national-level health data?
The platform was designed to handle big data across multiple population segments at area, regional, national, and international levels. It was validated through 5 pilots in different environments including care centers and living labs. Scaling to full national deployment would likely require additional infrastructure investment.
Who owns the IP and how is it licensed?
As an EU-funded Research and Innovation Action (RIA), IP is typically owned by the consortium partners who generated it. ATOS Spain coordinated the project with 24 partners. Specific licensing arrangements would need to be negotiated with the relevant IP holders in the consortium.
Has this been tested with real patient data in real healthcare settings?
Yes. The project was validated through 5 pilots addressing different environments: care centers, social networks, public environments, living labs, and disease monitoring. The consortium delivered 12 demonstrated software prototypes and a mobile app available on Google Play.
What data privacy and security measures are in place?
The project developed an integrated security and privacy framework as a dedicated software prototype. EuroSciVoc tags include both 'data protection' and 'access control,' indicating these were core design priorities. The platform was built to comply with European data protection requirements.
How long would implementation take for a health authority?
The project ran for 3 years (2017-2020) and produced 57 deliverables including 12 working software prototypes. Based on available project data, a deployment timeline would depend on the specific modules needed and local data infrastructure. The toolkit and APIs are modular, suggesting phased adoption is possible.
Can this integrate with existing hospital and health information systems?
Yes. The project specifically built 'Advanced Interoperability Techniques' and 'Data Sources and Gateways' as dedicated software prototypes. The platform provides Data as a Service (DaaS) with unified APIs designed to integrate data from multiple health data sources.
Who built it
The CrowdHEALTH consortium is notably strong for commercialization, with 24 partners across 11 countries and a 46% industry ratio (11 industry partners including 5 SMEs). Coordinated by ATOS Spain — one of Europe's largest IT services companies — the project had serious enterprise muscle behind it. The mix of 7 universities and 4 research organizations provided scientific depth, while the industrial majority ensured the technology was built with real-world deployment in mind. The geographic spread across Western, Southern, and Eastern Europe (plus Taiwan) suggests the platform was designed for cross-border health data interoperability.
- ATOS SPAIN SACoordinator · ES
- INSTITUT JOZEF STEFANparticipant · SI
- NACIONALNI INSTITUT ZA JAVNO ZDRAVJEparticipant · SI
- SIEMENS SRLparticipant · RO
- INFORMATION CATALYST SLthirdparty · ES
- ASSOCIATION EUROPEAN FEDERATION FORMEDICAL INFORMATICSparticipant · CH
- FUNDACION PARA LA INVESTIGACION DEL HOSPITAL UNIVERSITARIO LA FE DE LA COMUNIDAD VALENCIANAparticipant · ES
- INFORMATION CATALYST FOR ENTERPRISE LTDparticipant · UK
- DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBHparticipant · DE
- UNIVERSITY OF PIRAEUS RESEARCH CENTERparticipant · EL
- SINGULARLOGIC CYPRUS LTDparticipant · CY
- UNIVERSITY OF SOUTHAMPTONparticipant · UK
- SINGULARLOGIC PLIROFORIAKON SYSTIMATON KAI EFARMOGON PLIROFORIKISthirdparty · EL
- KAROLINSKA INSTITUTETparticipant · SE
- UNIVERSITAT POLITECNICA DE VALENCIAthirdparty · ES
- ENGINEERING - INGEGNERIA INFORMATICA SPAparticipant · IT
- CARE ACROSS LTDparticipant · UK
- ATOS IT SOLUTIONS AND SERVICES IBERIA SLthirdparty · ES
- LEANXCALE SLparticipant · ES
- UNIVERSIDAD POLITECNICA DE MADRIDparticipant · ES
- UNIVERZA V LJUBLJANIparticipant · SI
- BIOASSIST SAparticipant · EL
- TAIPEI MEDICAL UNIVERSITY FOUNDATION*TMUparticipant · TW
ATOS Spain SA is the coordinator — a major IT services company headquartered in Madrid. Their health division would be the entry point for licensing discussions.
Talk to the team behind this work.
Want an introduction to the CrowdHEALTH team to explore licensing the policy toolkit or data platform for your health organization? SciTransfer can arrange a direct meeting with the right technical contacts.