AJMC March 5, 2025
Aaron A. Tierney, PhD, Mary E. Reed, DrPH

This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM development, implementation, and maintenance.

ABSTRACT

This commentary presents a summary of 8 major regulations and guidelines that have direct implications for the equitable design, implementation, and maintenance of health care–focused large language models (LLMs) deployed in the US. We grouped key equity issues for LLMs into 3 domains: (1) linguistic and cultural bias, (2) accessibility and trust, and (3) oversight and quality control. Solutions shared by these regulations and guidelines are to (1) ensure diverse representation in training data and in teams that develop artificial intelligence (AI) tools, (2) develop techniques to evaluate AI-enabled health...

Today's Sponsors

Venturous
Got healthcare questions? Just ask Transcarent

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Equity/SDOH, Healthcare System, Technology
The payoff of integrating SDOH into clinical workflows
HIMSS25: Know Thy Patient goes beyond disease category and the social determinants
Profit Motive: A Vicious Determinant Of Health
Trump Administration Terminates Key Health Advisory Committees, Threatening Health Equity
Focusing on health equity can help hospitals improve faster | ViVE 2025

Share This Article