A Human Rights Approach to the Algorithmic Organ Allocation System

Research output: Contribution to conferencePosterResearchpeer-review

HeLEX : Future Health and New Technologies Virtual Conference: 21-23 July 2020- postponed Sept. 2021 because of Covid-19.

Most of transplanted organs come from deceased donors, but in parallel, several countries developed crossed or paired donations between living donors and potential recipients. They offer the possibility to a donor 1 that is incompatible with the intended recipient 1 to give a kidney for instance to a recipient 2 who is in the same situation, providing that donor 2 will give to recipient 1. Paired donations are efficient when several pairs are involved. Different algorithms help in the efficient allocation of organs. In case of donations from deceased donors, the time factor is important because of cold ischemia and algorithms need to be able to integrate a multiplicity of factors and find the best recipients in a short time. When legislations authorize paired-donations, algorithms allow a better efficiency in organ matching between numerous pairs of living donors and recipients. Algorithms find the best matches relying on medical criteria of compatibility and prioritization. Various policies established different factors of prioritization, including emergency or the patient’s age.

How do algorithms integrate and weigh those criteria? The contribution aims to defend a human rights approach to the algorithmic organ allocation system, by presenting legal standards as constraints playing on the algorithm. In particular, it offers to see how anti-discrimination law can guide computer scientists in the elaboration of those algorithms.
Original languageEnglish
Publication date2020
Publication statusUnpublished - 2020

ID: 244326527