Socio-technical design for clinical decision support algorithms

Bachelor thesis (2021)

Authors

S. de Witte Electrical Engineering, Mathematics and Computer Science

Contributors

E. Aizenberg Cyber Security - EEMCS (supervisor 1)
R.L. Lagendijk Cyber Security - EEMCS (supervisor 2)
H.S. Hung Pattern Recognition and Bioinformatics - EEMCS (coach)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2021 Sven de Witte
Healthcare Artificial intelligence Ethics Socio-technical system design Clinical decision support systems
More Info
expand_more

Published Date

02-07-2021

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Clinical decision support systems is a collection name for a lot of Artificial Intelligence systems used in healthcare. These systems are designed to help health workers make decisions faster and make the healthcare environment as a whole more efficient. Decisions made by these systems often weigh heavy on the ethical side giving advice on what kind of care a patient receives. The ethics of these decision mean it is even more important for these systems to act fair and unbiased towards all patients. This however is not always the case though. This paper will explain and dissect the issues of unfairness within clinical decision support systems and will compare and adapt different socio-technical design methodologies to form a advice on designing for fair clinical decision support algorithms.