Utilitarian Ethical Triage Bayesian Decisions With Monetary Value During COVID-19 - A Bayesian Probability Analysis

Abstract

Utilitarian ethical triage decisions with monetary value are complex and difficult to estimate, with possible benefits for a patient compared to other patients. The triage includes social and bioethical factors. A new approach addresses risk probabilities to improve triage decisions. Admission to the (ICU) Intensive Care Unit and the allocation of ventilators for patients is based on a risk-based comorbidity score. It takes into account the medical prognosis, social factors, personal and social costs. The rankings of the critical factors among patients with predefined ethical treatment success criteria depend on comorbidity and social circumstances. A sensitivity analysis with regression coefficients shows how the expected monetary value of patents can make a better judgment. Low-ranked patients are on the waiting list as the demand for intensive care units increases dramatically with COVID-19 infected. The problem with utilitarianism ethics is that high net worth patients get an advantage, but needy patients with social liability are given consideration.