Context-Aware Hospitalization Forecasting Evaluations for Decision Support using LLMs

Medical and public health experts must make real-time resource decisions, such as expanding hospital bed capacity, based on projected hospitalization trends during large-scale healthcare disruptions (e.g., operational failures or pandemics). Forecasting models can assist in this task by analyzing large volumes of resource-related data at the facility level, but they must be reliable for decision-making under real-world data conditions. Recent work shows that large language models (LLMs) can inco

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ethics.ai (27 April 2026), “Context-Aware Hospitalization Forecasting Evaluations for Decision Support using LLMs,” evidence record 5334, https://ethics.ai/record/5334 (originally published by arXiv).

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