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.

Seminar Information

Date: Tuesday, November 22, 2022
Time: 12:30 – 17:00
Place: NH Sora, Business Finland, Porkkalankatu 1, 00180 Helsinki
Arrival instructions

Program

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 ..

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REGISTRATION FOR SEMINAR (22ND NOVEMBER, FREE OF CHARGE)

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