Agile and Holistic Medical Software Development: Final report of AHMED project

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

Research output: Book/ReportReport

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Abstract

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.
Original languageEnglish
PublisherVTT Technical Research Centre of Finland
Number of pages53
Publication statusPublished - 13 Feb 2023
MoE publication typeD4 Published development or research report or study

Publication series

SeriesVTT Research Report
NumberVTT-R-01079-22

Keywords

  • medical device regulation
  • MLOps
  • DevOps
  • machine learning
  • artificial intelligence
  • medical device software

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