Equitably allocating resources during crises: racial differences in mortality prediction models

DC Ashana, GL Anesi, VX Liu, GJ Escobar… - American journal of …, 2021 - atsjournals.org
Rationale: Crisis standards of care (CSCs) guide critical care resource allocation during
crises. Most recommend ranking patients on the basis of their expected in-hospital mortality …

The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It: Article examines the potential for bias in machine learning and …

SS Gervasi, IY Chen, A Smith-McLallen, D Sontag… - Health …, 2022 - healthaffairs.org
As the use of machine learning algorithms in health care continues to expand, there are
growing concerns about equity, fairness, and bias in the ways in which machine learning …

Factors associated with provision of nonbeneficial surgery: a national survey of surgeons

SI Zaza, CJ Zimmermann, LJ Taylor, EL Kalbfell… - Annals of …, 2023 - journals.lww.com
Objective: We tested the association of systems factors with the surgeon's likelihood of
offering surgical intervention for older adults with life-limiting acute surgical conditions …