The Transformative Role of Large Language Models in Post-Acute and Long-Term Care

The landscape of post-acute and long-term care (PA-LTC) is evolving rapidly, with technology increasingly crucial in optimizing care delivery and improving patient outcomes. Large language models (LLMs), a groundbreaking form of artificial intelligence, are a specific subset of machine learning designed to understand and generate human language by enabling computers to convert language and unstructured text into machine-readable, organized data.1 LLMs represent a promising avenue for enhancing various aspects of PA-LTC across research, education, management, and clinical practice.