Innovation Tactics for Implementing AI in Healthcare

– Does the speed of innovation increase when developers, clinicians, and hospitals collaborate?

Artificial intelligence tools and techniques have shown great potential for improving health care diagnostics, treatment and efficiency, but still struggle with the transfer to practical application. On this track we explore why, and how successful implementation happens.

Program

9:30 Introduction
Moderator: Prins Marcus Valiant Lantz, Roskilde University

9:35 What works when implementing AI solutions between companies, clinicians and implementers?

Researchers and companies share good and bad experiences with implementing AI in a clinical setting:

• 9:35 Establishing trust and adoption of AI in radiology clinics
  Maria Bach Nielsen, Senior Project Manager, Techno-Anthropologist & Industrial PhD Fellow, Aalborg University & Cerebriu
• 9:50 Collaboration between developers and clinicians
  Pernille Nygaard Wigell, Clinical Implementation Specialist, Ward 24/7
• 10:05 Innovation tactics for implementing an ML application in healthcare: A long and winding road
  Christopher Gyldenkærne, PhD Fellow, Department of People and Technology, Roskilde University
• 10:20 “It depends”: Configuring AI to Improve Clinical Usefulness Across Contexts
  Tariq Osman Andersen, PhD, Associate Professor, and Hubert D. Zając , PhD, Postdoc, Department of Computer Science, University of Copenhagen.

10:40 Coffee break

10:50 Presentation and discussion with questions from the audience: Fail and innovate fast or slow (and safe) learning?

• 10:50 Developing partnerships
  Henrik Gaunsbæk, Innovation Consultant @BETA.HEALTH
• 11:10 Our esteemed experts debate what we need to be especially aware of when implementing AI in healthcare

11:50 Summary, key learnings, and next steps

12:00 That’s a wrap!