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Paving the way for additional forms of boundary work – how the implementation of AI can change healthcare
Halmstad University, School of Health and Welfare. (Healthcare Improvement Group)ORCID iD: 0000-0001-7874-7970
Halmstad University, School of Health and Welfare. (Healthcare Improvement Group)ORCID iD: 0000-0002-3727-6153
2024 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

A digital transformation of Swedish healthcare is currently taking place, and artificial intelligence (AI) is meant to solve many of the healthcare sector's challenges. The objective of this paper is to describe and analyze how the boundaries around the physicians' work could change when AI is implemented in healthcare and what boundary work actors on different levels in a healthcare system conduct. We conducted 26 semi-structured interviews with healthcare leaders and 18 with healthcare managers and professionals. The result shows that the leaders, healthcare managers, and healthcare professionals describe different types of boundary work in regard to the implementation of AI. The implementation of AI in healthcare could change the boundaries around the healthcare professionals’ work and generate new kinds of boundary work that could affect the implementation. These findings can inform both practice and policy.

Place, publisher, year, edition, pages
2024.
Keywords [en]
Artificial intelligence, healthcare leaders, healthcare professionals, qualitative study, boundary work
National Category
Health Sciences
Research subject
Health Innovation, IDC; Health Innovation
Identifiers
URN: urn:nbn:se:hh:diva-53213OAI: oai:DiVA.org:hh-53213DiVA, id: diva2:1852675
Conference
OBHC 2024, 14th Organisational Behaviour in Health Care Conference, Oslo, Norway, 3-5 April, 2024
Available from: 2024-04-18 Created: 2024-04-18 Last updated: 2024-07-08Bibliographically approved

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Petersson, LenaTyskbo, Daniel

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
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  • asciidoc
  • rtf