Potential Applications and Safety of Large Language Models in Healthcare

Abstract

This study explores the potential applications and associated safety concerns of large language models in healthcare. It particularly highlights the multifaceted applications of large language models (e.g., ChatGPT, MedLM) in healthcare, including data analysis, diagnostics, information retrieval, usage of medical devices, and assistance in tasks. Concurrently, it underscores the risks present alongside these applications, especially concerning data privacy. The study emphasizes the necessity of data privacy protection throughout the entire cycle. By reviewing policies from various countries, it outlines the critical role of refined policies and a clear governmental stance in advancing the application of large language models in healthcare and ensuring their safety.