2023

Lähteenmäki, Jaakko; Ahola, Pasi; Baraian, Andrei; Förger, Klaus; Granlund, Tuomas; Hopia, Jani; Kaikkonen, Risto; Mikkonen, Tommi; Niemirepo, Timo; Pajula, Juha; Partanen, Jari; Pellinen, Timo; Stirbu, Vlad; Torhola, Mika

AHMED is a co-innovation project (https://www.regops.fi/) with six companies (Atostek, Bittium, Mylab, Solita, Taipuva Consulting and Terveystalo) and two research organisations (University of Helsinki and VTT). This report provides summarized results of the AHMED project focused on research, development and adoption of solutions for efficient production of data-driven applications for healthcare. The project particularly addressed challenges related to the usage of artificial intelligence, machine learning and personal data in regulated medical software. We present experiences and best practices for transition to the new medical device regulation (MDR), AI/ML compliant RegOps models, tools and toolchains for medical software development, healthcare register data usage for innovative applications and traceability approaches for research and AI/ML model development.