Patient preference predictors revisited: technically feasible, ethically desirable, yet must be clinically relevant

Abstract

Although goal-concordant care is central to patient-centered medicine, determining treatment preferences for incapacitated patients remains a challenge. Nearly two decades ago, algorithms were proposed to estimate the most likely treatment preferences in the absence of advance directives, aiming to support surrogate decision making. This idea has evolved into a race toward increasingly complex models, driven by the assumption that expanding data collection and refining predictive methods will yield more accurate approximations of pati Show more