Machine learning applications in healthcare and the role of informed consent: Ethical and practical considerations
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4643234
Author(s) Lorenzini, Giorgia; Shaw, David Martin; Arbelaez Ossa, Laura; Elger, Bernice Simone
Author(s) at UniBasel Shaw, David
Arbelaez Ossa, Laura
Elger, Bernice Simone
Lorenzini, Giorgia
Year 2022
Title Machine learning applications in healthcare and the role of informed consent: Ethical and practical considerations
Journal Clinical Ethics
Keywords Ethics, healthcare, informed consent, machine learning, shared decision-making, transparency
Abstract Informed consent is at the core of the clinical relationship. With the introduction of machine learning (ML) in healthcare, the role of informed consent is challenged. This paper addresses the issue of whether patients must be informed about medical ML applications and asked for consent. It aims to expose the discrepancy between ethical and practical considerations, while arguing that this polarization is a false dichotomy: in reality, ethics is applied to specific contexts and situations. Bridging this gap and considering the whole picture is essential for advancing the debate. In the light of the possible future developments of the situation and the technologies, as well as the benefits that informed consent for ML can bring to shared decision-making, the present analysis concludes that it is necessary to prepare the ground for a possible future requirement of informed consent for medical ML.
Publisher SAGE Publications
ISSN/ISBN 1477-7509 ; 1758-101X
edoc-URL https://edoc.unibas.ch/88263/
Full Text on edoc Available
Digital Object Identifier DOI 10.1177/14777509221094476
 
   

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