Case Study: Helsinki University Hospital speeds up clinician information search with Tietoevry generative AI

Helsinki University Hospital - Customer Case Study

Helsinki University Hospital (HUS), Finland's largest healthcare provider, was facing a challenge at its New Children's Hospital. With over 1,000 specialist medical care guidelines, clinicians found it difficult and time-consuming to search for and find the right information within the HUS database, taking away valuable time from patient care.

Tietoevry developed a generative AI pilot application using Azure OpenAI and Azure AI Search services, specifically the GPT 4.0 Turbo model, to optimize information retrieval. The solution, built on HUS's own data lake, streamlined the search process, saving clinicians substantial time and freeing them up for patient interaction. This led to an improved work environment with less stress for staff and the future potential to provide patients with personalized care guidelines translated into their own languages, thereby increasing their confidence in the treatment process.

Helsinki University Hospital

Jari Petäjä

HUS Director for Children and Adolescents