DataSpace Lecture Series: Making data work: Infrastructuring Challenges of AI in Healthcare // Claus Bossen

Everybody is welcome!

Abstract

Claus Bossen

What does it take to make data and artificial intelligence (AI) work? Despite huge expectations and investments over the last decade, there are only a few examples of successful implementations of artificial intelligence in healthcare in Denmark or internationally. Even less AI systems have scaled beyond a single location with some exceptions within imaging such as AI readings of bone fractures and breast cancer screening. Apparently, making data and AI work entails more than building data models and algorithms, and integrating AI into healthcare has proven to be fraught with challenges within as law, ethics, clinician buy-in, data quality, and work practice change. In this presentation, I will address some of these socio-technical challenges based on case studies of AI implementations in Denmark and suggest that most often there is a long and winding road towards the realizations of the promises of AI in healthcare.

Claus Bossen works at the Department of Digital Design and Information Studies, Aarhus University, and has researched IT in healthcare for what now seems a rather long time. However, the topic of IT and healthcare is interesting and continuously evolving, so no regrets there. It started with research into the design and implementation of electronic healthcare records continued over an interest in healthcare data work into the present project of studying the hindering and furthering factors in AI implementations together with two colleagues, Asbjørn M. Petersen and Kalle Kusk (See: https://projects.au.dk/implementing-ai-in-healthcare). He publishes within fields such as Health Informatics, Computer Supported Cooperative Work, Participatory Design and Science-Technology-Society studies. About the DataSpace Lecture Series: The DataSpace Lecture Series is a series of lectures aiming to convene scholars and academic voices on health data, data infrastructures and related concerns about representation, power, and political economy. The series is organized by the DataSpace Research Group in collaboration with the Centre for Medical Science and Technology Studies (MeST).

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