Work

Implementing large language models in healthcare while balancing control, collaboration, costs and security

Year: 2025

Type: article

Abstract: Integrating Large Language Models (LLMs) into healthcare promises substantial advancements but requires careful consideration of technical, ethical, and regulatory challenges. Closed LLMs of private companies offer ease of deployment but pose risks related to data privacy and vendor dependence. Open LLMs deployed on local hardware enable greater model customization but demand resources and technical expertise. Balancing these approaches, with collaboration among clinicians, researchers, and companies is crucial to ensure effective, secure, and ethical implementation.

Source: npj Digital Medicine

DOI: 10.1038/s41746-025-01476-7

Authors: Fabio Dennstädt, Janna Hastings, Paul Martin Putora, Max Schmerder, Nikola Cihoric