 AI in Health from Challenges to Impacts Through the Case Study of the Valenciennes Hospital CenterAbdeslem Choukhi ()
Post-Print from HAL Abstract: Artificial Intelligence (AI)-powered healthcare has the potential to revolutionize national healthcare systems especially during stressful times. Research has shown that there are ethical and managerial challenges associated with health AI, and our work aims to deepen knowledge on these challenges and their impacts. Our case study focused on the Valenciennes Hospital Center (CHV) in France, where an AI solution has been deployed to predict flows in the emergency department. Through 32 semi-structured interviews with professionals, we were able to identify the real tensions caused by the ethical and managerial challenges of AI. However, our study also showed that health organizations can take advantage of AI to reduce these tensions and strengthen individual skills, leading to better organizational performance. Our work contributes to the IS literature on health AI by highlighting the impacts in terms of appropriation, and relationships between entities of the same organization. Keywords: AI; Challenges; Organizational impacts; Health (search for similar items in EconPapers) Published in Thirty-Second European Conference on Information Systems (ECIS 2024), Paphos, Cyprus, European Conference on Information Systems (ECIS), Jun 2024, Paphos (Cyprus), Cyprus There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04647876 Access Statistics for this paper More papers in Post-Print from HAL |
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