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CrowdHEALTH · Project

Big Data Platform That Turns Population Health Records Into Smarter Public Health Policies

healthPilotedTRL 6

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.

By the numbers
5
Real-world pilots in different healthcare environments
24
Consortium partners
11
Countries represented in consortium
EUR 4,999,550
EU funding received
12
Demonstrated software prototypes
57
Total project deliverables
11
Industry partners in consortium
The business problem

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.

The solution

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.

Audience

Who needs this

Health insurance companies needing population risk stratification and cost predictionNational and regional public health authorities designing prevention programsHealth IT vendors seeking interoperability and analytics modulesHospital networks wanting to unify patient data across facilitiesPharmaceutical companies running real-world evidence studies
Business applications

Who can put this to work

Health Insurance
enterprise
Target: Health insurance companies and managed care organizations

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.

Public Health Administration
enterprise
Target: Regional and national public health authorities

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.

Digital Health & Health IT
mid-size
Target: Health IT vendors and electronic health record platform providers

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.

Frequently asked

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.

Consortium

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.

How to reach the team

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.

Next steps

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.

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