Death Algorithm

TitleDeath Algorithm
Publication TypeCase Study
Year of Publication2018
AuthorsSkipper, RB, Currie, R, Jones, C, Pease, H, McNichol, J
Date Published12/2018
PublisherAssociation for Practical and Professional Ethics
Publication LanguageEnglish
AbstractIn May, 2018, Google's Medical Brain team published a paper in Nature announcing a new health care initiative, an Artificial Intelligence algorithm designed to predict patient outcomes, duration of hospitalization, even the likelihood of death during hospitalization. A great deal of attention is being paid to mortality statistics, or the death algorithm, which has been used in two instances. In the first case, at Hospital A, the algorithm was 95 percent accurate in predicting death; in the second case, at Hospital B, it was 93 percent accurate. In both of these cases, the AI algorithm preformed significantly better than the more traditional models or techniques of predicting patient outcomes.
NotesCase from the 2019 National Intercollegiate Ethics Bowl Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by- nc-nd/4.0/. © 2017 Robert Skipper, Robert A. Currie, Cynthia Jones, Heather Pease, and Jane McNichol.
URLhttp://ethics.iit.edu/EEL/DeathAlgorithm.pdf

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