Large Language Models (LLMs) are AI systems trained on vast medical and general text data to understand and generate human-like language. In healthcare, they assist by interpreting unstructured data, automating documentation, and supporting clinical decision-making.
LLMs use pattern recognition across massive datasets to process input text like patient records or medical literature. They generate relevant outputs such as summaries, diagnoses suggestions, or treatment options by predicting contextually appropriate responses based on learned knowledge.
For product managers, LLMs enhance user experience by reducing clerical workloads and improving information access. They lower operational costs through automation, speed up clinical workflows, and scale easily across healthcare providers, all while supporting compliance by adapting to domain-specific language and regulations.