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Ethical considerations in implementing AI for mortality prediction in the emergency department : Linking theory and practice

Petersson, Lena, 1968- (författare)
Högskolan i Halmstad,Akademin för hälsa och välfärd
Vincent, Kalista (författare)
Högskolan i Halmstad,Akademin för hälsa och välfärd
Svedberg, Petra, 1973- (författare)
Högskolan i Halmstad,Akademin för hälsa och välfärd
visa fler...
Nygren, Jens M., 1976- (författare)
Högskolan i Halmstad,Akademin för hälsa och välfärd
Larsson, Ingrid, 1968- (författare)
Högskolan i Halmstad,Akademin för hälsa och välfärd
visa färre...
 (creator_code:org_t)
London : Sage Publications, 2023
2023
Engelska.
Ingår i: Digital Health. - London : Sage Publications. - 2055-2076. ; 9
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background: Artificial intelligence (AI) is predicted to be a solution for improving healthcare, increasing efficiency, and saving time and recourses. A lack of ethical principles for the use of AI in practice has been highlighted by several stakeholders due to the recent attention given to it. Research has shown an urgent need for more knowledge regarding the ethical implications of AI applications in healthcare. However, fundamental ethical principles may not be sufficient to describe ethical concerns associated with implementing AI applications.Objective: The aim of this study is twofold, (1) to use the implementation of AI applications to predict patient mortality in emergency departments as a setting to explore healthcare professionals’ perspectives on ethical issues in relation to ethical principles and (2) to develop a model to guide ethical considerations in AI implementation in healthcare based on ethical theory.Methods: Semi-structured interviews were conducted with 18 participants. The abductive approach used to analyze the empirical data consisted of four steps alternating between inductive and deductive analyses. Results: Our findings provide an ethical model demonstrating the need to address six ethical principles (autonomy, beneficence, non-maleficence, justice, explicability, and professional governance) in relation to ethical theories defined as virtue, deontology, and consequentialism when AI applications are to be implemented in clinical practice.Conclusions: Ethical aspects of AI applications are broader than the prima facie principles of medical ethics and the principle of explicability. Ethical aspects thus need to be viewed from a broader perspective to cover different situations that healthcare professionals, in general, and physicians, in particular, may face when using AI applications in clinical practice. © The Author(s) 2023.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Health Care Service and Management, Health Policy and Services and Health Economy (hsv//eng)

Nyckelord

Artificial intelligence
codes of ethics
emergency department
ethical theory
healthcare
healthcare professionals
implementation
qualitative research
Hälsoinnovation
Health Innovation
IDC
IDC

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