Socio-technical design for clinical decision support algorithms
S. de Witte (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Evgeni Aizenberg – Mentor (TU Delft - Cyber Security)
Reginald L. Lagendijk – Graduation committee member (TU Delft - Cyber Security)
Hayley Hung – Coach (TU Delft - Pattern Recognition and Bioinformatics)
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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.