New prediction models may help clinicians identify which patients are at highest risk for death or drug overdose if they seek a "before medically advised" (BMA) hospital discharge. Hiten Naik, MD In a ...

A large language model could help assess patient acuity in emergency departments, according to a study published in JAMA Network Open. When given pairs of patient histories extracted from emergency ...

Objectives To determine the prevalence of depressive and anxiety symptoms among young people 7 years and 9 years after ...

A newly-developed nomogram prediction model identifies delirium risk among ICU patients using 7 readily available clinical variables.

Patient engagement is a necessity when performing health technology assessment to help better assess and identify the outcomes of a rare disease. Rare diseases present distinct challenges to health ...

This article is the latest in the Health Affairs Forefront featured topic, Accountable Care for Population Health, featuring analysis and discussion of how to understand, design, support, and measure ...