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Ethical Perspectives on Implementing AI to Predict Mortality Risk in Emergency Department Patients: A Qualitative Study
Halmstad University, School of Health and Welfare.ORCID iD: 0000-0001-7874-7970
Halmstad University, School of Health and Welfare.
Halmstad University, School of Health and Welfare.ORCID iD: 0000-0003-4438-6673
Halmstad University, School of Health and Welfare.ORCID iD: 0000-0002-3576-2393
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2023 (English)In: Caring is sharing - exploiting the value in data for health and innovation: Proceedings of MIE 2023 / [ed] Maria Hägglund; Madeleine Blusi; Stefano Bonacina; Lina Nilsson; Inge Cort Madsen; Sylvia Pelayo; Anne Moen; Arriel Benis; Lars Lindsköld; Parisis Gallos, Amsterdam: IOS Press, 2023, Vol. 302, p. 676-677Conference paper, Published paper (Refereed)
Abstract [en]

Artificial intelligence (AI) is predicted to improve health care, increase efficiency and save time and recourses, especially in the context of emergency care where many critical decisions are made. Research shows the urgent need to develop principles and guidance to ensure ethical AI use in healthcare. This study aimed to explore healthcare professionals' perceptions of the ethical aspects of implementing an AI application to predict the mortality risk of patients in emergency departments. The analysis used an abductive qualitative content analysis based on the principles of medical ethics (autonomy, beneficence, non-maleficence, and justice), the principle of explicability, and the new principle of professional governance, that emerged from the analysis. In the analysis, two conflicts and/or considerations emerged tied to each ethical principle elucidating healthcare professionals' perceptions of the ethical aspects of implementing the AI application in emergency departments. The results were related to aspects of sharing information from the AI application, resources versus demands, providing equal care, using AI as a support system, trustworthiness to AI, AI-based knowledge, professional knowledge versus AI-based information, and conflict of interests in the healthcare system. © 2023 European Federation for Medical Informatics (EFMI) and IOS Press.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2023. Vol. 302, p. 676-677
Series
Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365 ; 302
Keywords [en]
AI applications, ethical aspects, healthcare professionals, qualitative study
National Category
Nursing
Research subject
Health Innovation; Health Innovation, IDC
Identifiers
URN: urn:nbn:se:hh:diva-51747DOI: 10.3233/SHTI230234ISI: 001071432900176PubMedID: 37203776Scopus ID: 2-s2.0-85159761458ISBN: 978-1-64368-388-1 (print)ISBN: 978-1-64368-389-8 (electronic)OAI: oai:DiVA.org:hh-51747DiVA, id: diva2:1812845
Conference
33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE 2023, Gothenburg, 22-25 May, 2023
Available from: 2023-11-17 Created: 2023-11-17 Last updated: 2023-11-20Bibliographically approved

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Petersson, LenaSvedberg, PetraNygren, Jens M.Larsson, Ingrid

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