Workdiamond2023

Procurement of artificial intelligence for radiology practice

Line Silsand · Gro-Hilde Severinsen · Line Helen Linstad · Gunnar Ellingsen

8 citations0/0 files storedProcedia Computer Science

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Information Systems Theories and Implementation Artificial Intelligence in Healthcare and Education Information Technology Governance and Strategy

Abstract

The development of artificial intelligence (AI) technology for radiology has accelerated in the past decade, but its deployment in radiology practices has been slow. We take a sociotechnical approach and suggest that the limited use of AI in radiology practices can be attributed to a recurring tension between planned and emergent change. The paper contributes with a conceptualization and understanding of the tension during the procurement of AI for radiology. To balance this tension, we suggest that health organizations need to redefine the concept and scope of traditional procurement projects, with well-defined goals and project time. Instead, we propose that health organizations need to conceptualize their procurement and implementation projects of AI technology as evolving change processes. The study is based on an interpretive research approach and informed by the Information Infrastructure framework. Empirically, we study the procurement of AI solutions for radiology at a large health trust in Norway.

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References

1999A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems1 1995Interpretive case studies in IS research: nature and method 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms 1996Steps Toward an Ecology of Infrastructure: Design and Access for Large Information Spaces 2010Design Theory for Dynamic Complexity in Information Infrastructures: The Case of Building Internet 2020Augmenting the algorithm: Emerging human-in-the-loop work configurations 2010Infrastructure Time: Long-term Matters in Collaborative Development 2011Building nation-wide information infrastructures in healthcare through modular implementation strategies

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