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The Ethics of Algorithms in Healthcare

Published online by Cambridge University Press:  20 January 2022

Christina Oxholm ,
Anne-Marie S. Christensen  and
Anette S. Nielsen
Christina Oxholm
Affiliation:
Department for the Study of Culture, Faculty of Humanities, University of Southern Denmark, 5230Odense, Denmark
Anne-Marie S. Christensen*
Affiliation:
Department for the Study of Culture, Faculty of Humanities, University of Southern Denmark, 5230Odense, Denmark
Anette S. Nielsen
Affiliation:
Clinical Alcohol Research Unit, Department of Clinical Research, Faculty of Health, University of Southern Denmark, 5230Odense, Denmark
*
*Corresponding author. Email: [email protected]
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Abstract

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.

Keywords

ethicsclinical decision support algorithmsclinical decision-making algorithmsdataprivacyprofessional autonomyblack boxpatient-centeredpatient–practitioner relationship
Type
Departments and Columns
Information
Cambridge Quarterly of Healthcare Ethics , Volume 31 , Issue 1 , January 2022 , pp. 119 - 130
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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References

Notes

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49. We want to thank an anonymous reviewer for this important point.

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