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12 - Organisational Readiness for the Adoption of Artificial Intelligence in Hospitals

from Part IV - Balancing Regulation, Innovation and Ethics

Published online by Cambridge University Press:  08 September 2022

By
Maximilian Schuessler ,
Till Bärnighausen  and
Anant Jani
Edited by
Marcelo Corrales Compagnucci ,
Michael Lowery Wilson ,
Mark Fenwick ,
Nikolaus Forgó  and
Till Bärnighausen
Marcelo Corrales Compagnucci
Affiliation:
University of Copenhagen
Michael Lowery Wilson
Affiliation:
University of Turku, Finland
Mark Fenwick
Affiliation:
Kyushu University, Japan
Nikolaus Forgó
Affiliation:
Universität Wien, Austria
Till Bärnighausen
Affiliation:
Universität Heidelberg
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Summary

AI harbours considerable potential to improve diagnosis and therapy, enhance access to healthcare, and promote population health. AI-enabled healthcare is increasingly seen as part of the solution needed to address the growing gap between the supply and demand of hospital care. AI is well placed to help us tackle new challenges, though these novel applications are likely to render technology implementation even more complex. Yet, many hospitals within the EU are unprepared for this change. Historically, hospitals have faced multiple challenges when implementing new technologies. This chapter discusses the importance of AI readiness and highlights the benefits and limitations of a new policy tool: an AI Readiness Index for Hospitals (AI-RIH). We conceptualise AI readiness from an organisational perspective and discuss the dual functionality of the AI-RIH. For hospital managers, it could serve as a benchmarking tool. For policy-makers, it can help create targeted technology policies and measure their effectiveness. This chapter also discusses the conceptual challenges of indices and illustrates why a hospital index might provide more policy insights than an aggregated or national index. Finally, we explain how AI readiness can strengthen hospitals’ role as innovators and support the development and deployment of AI.

Keywords

AImachine learningdigital healtheHealthtechnology implementationhospital managementorganisational readiness
Type
Chapter
Information
AI in eHealth
Human Autonomy, Data Governance and Privacy in Healthcare
 , pp. 334 - 377
Publisher: Cambridge University Press
Print publication year: 2022

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