Machine learning and personal health data in medical software development
Artificial intelligence is increasingly involved in medical software products. What are the challenges of this trend to agile software production? How development methods and processes should evolve to enable use of machine learning and personal data in regulated medical software?
These and related topics will be addressed in the open AHMED project seminar. You are warmly welcome to participate the seminar, which presents the results obtained in the AHMED project and provides an open forum for discussion and networking.
13:00 – 13:05 Opening, Jaakko Lähteenmäki / VTT
13:05 – 13:25 Medical Software in Transition 2020-2022: MDR, AI, & CI/CD, Tommi Mikkonen / University of Helsinki
13:25 – 13:40 MDR approved analysis service, aspects of operations & business, Case Bittium –Tuulia Nissinen & Antti Siipola, Bittium
13:40 – 13:55 MDR from private health care service provider perspective, Jani Hopia / Terveystalo
13:55 – 14:10 ML/AI compliance, Risto Kaikkonen, Tuomas Granlund / Solita
14:10 – 14:40 Coffee / tea break (30 min)
14:40 – 14:55 Introducing Design Controls as a Service, Pasi Ahola / Taipuva consulting
14:55 – 15:10 Risk Management näkökulma (?) , Timo Pellinen / MyLab
15:10 – 15:25 Secondary use of health data in Kanta for research, Klaus Förger / Atostek
15:25 – 15:40 Regulatory challenges in healthcare innovation development, Jaakko Lähteenmäki / VTT
15:40 – 16:00 Discussion and seminar closure
16:00 – 17:00 Networking, snack ..