The Ethics of Algorithms in Healthcare

Bibliographic Data

ID21598446
AuthorsChristina Oxholm (University of Southern Denmark), Anne-Marie S Christensen (University of Southern Denmark, corresponding author), Anette S Nielsen (University of Southern Denmark)
Year2022
Volume31
Issue1
Pages119-130
Publication date2022-01-01
Open AccessYes
TypeARTICLE
VenueCambridge Quarterly of Healthcare Ethics (JOURNAL)
Journal identifiersISSN: 0963-1801 • E-ISSN: 1469-2147
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0963180121000864
PMID35049457
OpenAlexW4205484858
LanguageEN
Citations received3
References cited16

The amount of data available to healthcare practitioners is growing, and the rapid increase in available patient data is becoming a problem for healthcare practitioners, as they are often unable to fully survey and process the data relevant for the treatment or care of a patient. Consequently, there are currently several efforts to develop systems that can aid healthcare practitioners with reading and processing patient data and, in this way, provide them with a better foundation for decision-making about the treatment and care of patients. There are also efforts to develop algorithms that provide suggestions for such decisions. However, the development of these systems and algorithms raises several concerns related to the privacy of patients, the patient–practitioner relationship, and the autonomy of healthcare practitioners. The aim of this article is to provide a foundation for understanding the ethical challenges related to the development of a specific form of data-processing systems, namely clinical algorithms

Autonomy · Health care · Healthcare system · MEDLINE · Artificial Intelligence in Healthcare and Education · Machine Learning in Healthcare · Privacy-Preserving Technologies in Data

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