Case Study: Helsinki University Hospital improves leukemia trial matching with Tietoevry AI

HUS Technology combines suitable patients and drug research

The Helsinki University Hospital (HUS) faced the challenge of manually matching patients with acute leukemia to appropriate clinical trials, a laborious process that made it difficult to provide the most effective, personalized treatments for a life-threatening disease requiring rapid decisions. Tietoevry worked with HUS to address this through their CleverHealth Network.

Tietoevry developed an AI-powered Trial Matching application that automates the process of combining patient data with trial criteria. This solution enables faster, more accurate clinical decision-making by helping clinicians identify suitable patients for trials and determine the best available treatment options. The structuring of data to the international OMOP standard also facilitates proficient and secure domestic and international research cooperation.

Helsinki University Hospital

Perttu Koskenvesa

Clinical Hematology Specialist