Artificial Intelligence Revolutionizes the Diagnostics of Rare Diseases

To build a certified trusted Research Environment that is compliant with the EU General Data Protection Regulation (GDPR) and the Findata legislation on the secondary use of national social and health data. To accelerate medical research with a modern, high-security digital environment with the latest analytics capabilities.

Helsinki University Hospital (HUS)

Helsinki University Hospital (HUS) and Tietoevry have co-developed the data lake service that enables the development of advanced treatments and optimized care pathways in healthcare while also accelerating HUS’ world-class medical research.

The Rare Diseases eCare for Me project utilizes HUS’s data lake service and its new HUS Acamedic research environment. In the project, which is a part of the CleverHealth Network ecosystem, real-world data and machine learning fuel the development of an AI solution that can be used to provide more effective and faster treatment for patients with rare diseases. The project has been funded with the support of Business Finland.

The data lake service and its HUS Acamedic analytics workspace provide doctors and researchers with access to large data masses, comprehensive analytics tooling, and the latest AI technology. The eCare for Me project enables faster access to impactful care for patients with rare diseases, which has a significant positive impact on patients’ health and wellbeing but significantly cuts public health care costs by reducing the use of diagnostic services and ineffective treatments.