Growing access to health data, from wearables to national registers, creates new opportunities for health and wellness. Yet regulation, fragmented data sources and complex governance often limit real-world impact. Through health data analytics, VTT helps organisations utilise health data from multiple sources in a compliant and reliable way. This enables evidence-based, scalable digital health solutions that improve treatments, resource efficiency and long-term well-being.
Key facts
Efficient and regulation-compliant use of health data
VTT helps organisations access, combine and analyse fragmented health data sources to accelerate R&D.
Trustworthy AI and data-driven innovations
Our analytics and AI expertise, combined with health domain knowledge, help you develop robust, reliable algorithms and digital health solutions.
Privacy while enabling innovation
We apply secure, compliant methods, including privacy-enhancing technologies, to handle sensitive health data safely and at scale.
Utilising health data in an efficient and compliant way
For organisations developing healthcare technologies or services, the challenge lies in accessing the right data, using it compliantly and turning it into evidence that supports development, validation and decision-making. Health data analytics provides a structured way to overcome these barriers.
Effective health data utilisation typically requires four key elements:
- Rapid and secure access to siloed health data sources
- Ensuring regulatory compliance
- Deep understanding of real-world data and AI-assisted data analysis methods
- Collaborating across the healthcare ecosystem
At VTT, we provide these elements by combining scientific expertise with hands-on research. Our multidisciplinary team helps organisations turn health data into concrete business value in complex, highly regulated sectors.
VTT’s focus areas in health data analytics
Privacy-preserving and efficient analysis of multimodal health data
Synthetic data
Privacy-enhancing technologies, e.g. federated learning
Regulation-compliant use of real-world data (RWD)
EHDS
AI Act & regulatory sandboxes
MDR
Assistive AI for healthcare
Ambient listening
Digital twins for decision support
Health and MedTech algorithm development
Medical imaging
Multimodal health data
Expertise in secure and efficient use of health data. When original data is not available or enhanced privacy protection is required, we deliver trustworthy synthetic data for R&D. We also apply federated learning to enable the utilisation of siloed health data.
Predictive modelling based on RWD or cohort data, including electronic health records (EHRs). We help organisations access the right data while navigating regulatory frameworks and European Health Data Space (EHDS) requirements.
Development of assistive AI solutions for healthcare. We develop solutions that support healthcare professionals in their daily work and enable informed decision-making.
Development of advanced and tailored algorithm solutions for Health and MedTech applications. With versatile expertise in medical imaging (e.g. MRI, CT, ECHO) and video analysis, we deliver solutions that enable accurate analysis of complex medical data.
Health data analytics for evidence-based decision-making
We support our partners and customers in all stages of health data research and development, from preventive health to diagnosis, precision medicine and personalisation of care.
We work with:
- Medical and health technology companies
- Health IT providers
- Pharmaceutical companies
- Healthcare organisations
Our services include:
- Generating clinical evidence based on real-world and other health data
- Developing diagnostic and clinical decision support tools for clinicians
- Developing algorithms for MedTech and consumer wellness devices
Why partner with VTT
Navigating regulated healthcare environments requires a partner with strong research expertise and a deep understanding of regulatory requirements. Partnering with VTT provides access to:
- Modern data analytics and AI expertise
Deep expertise in modern data analytics methods and AI, combined with strong knowledge of data architectures and infrastructure, forms the basis for beyond-the-obvious innovations.
- Regulatory and data governance know-how
A nuanced understanding of legislation and procedures regarding national registers and biobanks enables seamless navigation of complex regulatory frameworks.
- Cross-disciplinary capabilities
Expertise spanning from sensors to cyber security enables tailoring solutions for diverse needs, in collaboration with the public sector and industries such as medical devices and pharmaceuticals.
- Strong networks across the healthcare ecosystem
Extensive networks of health data providers, healthcare professionals and MedTech and pharmaceutical partners facilitate effective collaboration.
Case: Nexstim – Brain stimulation revolutionises the medical treatment of clinical depression and chronic pain
VTT has collaborated with personalised neuromodulation company Nexstim to develop algorithms that support medical brain stimulation, enabling targeted and effective medical treatment.
“It’s hard enough to find an algorithm developer with a strong know-how in medical applications. I still think that VTT’s biggest strength is their versatility. They can flexibly assemble a team that covers all the areas needed for a challenging R&D project.”
Health data analytics with a business perspective
Commercial viability, well-governed data access management, cyber security and privacy are integral requirements for health data analytics to be deployed in real-world settings. VTT’s multidisciplinary team brings together leading experts in both hardware and software, covering human sensing solutions, wearable technologies, printed electronics, diagnostic technologies and algorithm-based data analytics. This expertise supports the collection and use of health data in a user-friendly, transparent, safe and cost-effective way, while providing customers and partners with a sound business perspective.
VTT's selected projects on health data analytics
IDERHA develops an open, disease agnostic, federated data space to enable access, use and reuse of digital health data. AI models for lung cancer patient journeys serve as the use case (EU Horizon IHI).
PHASE IV AI (Privacy Compliant Health Data as a Service for AI Development) advances state-of-the-art data synthesis methods towards a more generalised approach to synthetic data generation (EU Horizon).
PROFIT develops AI solutions to optimise hospital and home-care workflows, including speech-to-text documentation and patient status summaries (ITEA).
Meet our experts
Our team consists of highly skilled experts with diverse backgrounds in generative AI, medical imaging, privacy-enhancing technologies, clinical decision support, regulatory compliance and real-world evidence to deliver cutting-edge solutions.
Mika's special focus is on health data science enabling well-being and personalized medicine, with emphasis on cancer and cardiovascular diseases.
Juha's areas of interest are algorithm development and machine learning, data visualisation, efficient usage of computing hardware and the possibilities of hardware and virtualisation technology. He has wide practical expertise on data-related agreements and regulation on a practical level.
Harri focuses on AI and machine learning methods for automated multi-dimensional medical image analysis. He enjoys tailoring state-of-the-art theory into working solutions meeting all aspects of customers' needs. Lately, he has been excited about neural networks and heavy computing.
How to work with us
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Get in touch with us to harness the full potential of your health technology and innovation initiatives. We can help you speed up your innovation process and ensure the high scientific quality of your product.
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We develop proof-of-concept models and help you validate them, ensuring a clear path to commercialisation. Through advanced analytics, AI-driven tools and real-world evidence, we demonstrate the reliability and readiness of your solutions for real-world deployment.
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We work with companies and research institutions around the world, giving you access to diverse expertise and emerging trends. Our global perspective helps us identify innovative approaches and adapt solutions for different markets. We support you through every stage of your project.
Contact us here!
FAQ – Frequently Asked Questions about health data analytics
What is health data analytics at VTT?
Health data analytics at VTT involves collecting and analysing diverse health data — including wearables, clinical records, registers and imaging — to build tools that improve treatment, diagnostics and healthcare decision‑making.
What kinds of services does VTT provide?
VTT supports clinical evidence generation, diagnostic and decision support tool development, predictive models, medical algorithm creation and secure data infrastructures for health and wellness applications.
Which data sources are used in health data analytics?
VTT combines biosignal and wearable data, clinical databases, imaging, national health registers and biobanks to create comprehensive insights and support personalised and precision health solutions.
How does VTT ensure data security and regulatory compliance?
Security and compliance are prioritised through deep understanding of regulatory frameworks, strong cybersecurity practices and careful data governance to protect sensitive health information.
Who can benefit from health data analytics services?
Healthcare providers, medical device manufacturers, pharmaceutical companies and public health organisations can benefit from analytics to improve outcomes, optimise processes and accelerate innovation.
This FAQ is written by AI and checked by a human.
