Lifecare Trusted Research Environment (TRE)
Accelerate and streamline your medical data analytics with AI-powered tools while securing full regulatory compliance
University hospitals and medical researchers are increasingly reliant on large, complex datasets to make their next breakthroughs. However, working with sensitive health data also requires complying with strict regulations. The need to protect healthcare data has never been greater, especially in a time when AI and machine learning are transforming medical research.
Lifecare Trusted Research Environment, seamlessly integrated with Lifecare Data Platform, is designed to ensure safe and responsible handling of data while enabling fast and efficient analysis and processing. As a cloud-based platform, TRE is flexible, easily scalable and cost-efficient. It also allows for multi-user access, thus paving the way for cross-institutional collaboration and multi-side research.
Portfolio Lead for Lifecare Data Platform, Tietoevry Care
Comprehensive data management
Ensure full regulatory compliance
Protect your institution and its research efforts by streamlining compliance with complex legal requirements, such as GDPR and EHDS standards.
Scalable, flexible and cost efficient
As a cloud-based platform, TRE can be scaled up quickly and efficiently, without incurring major infrastructure costs or bottlenecks.
AI and machine learning capabilities
Built-in AI tools can accelerate data analytics, producing faster insights and enabling predictive modelling.
Maximize your clinical research data
End-to-end data security
Protect sensitive data through robust encryption and access controls to minimize the risk of unauthorized access.
Patient privacy fully protected
Comprehensive pseudonymization and anonymization processes will protect patient privacy and individual medical records, while still ensuring data remains useful for research purposes.
Automated compliance and auditing
Built-in compliance processes can streamline and automate adherence to complex regulations including GDPR. This will free-up time from cumbersome administrative tasks and allow staff to focus on their research.
Advanced analytical tools
High-performance computing power and integrated AI and machine learning capabilities, ensure accelerated data analytics and results. Data visualization tools can simplify complex data into clear actionable insights.
Cross-institutional collaboration
By enabling multi-user access, TRE can be used for cross-institutional collaboration and multi-site research. Results and insights can be shared securely across sites without having to transfer data.
Case HUS: Trusted Research Environment
Read how the modern research environment enhances disease diagnosis and international research at Helsinki University Hospital.