The impact that large language models have had both on the medical community and IT developers is undeniable. But are they being trained with the relevant data and the right kind of self-supervision? These are questions that need to be asked, according to Mayo Clinic Platform researchers.
Is It Time to Incorporate Large Language Models into EHRs?
“Proceed with Humility”: The Keys to Moving Forward with Generative AI
Large language models offer great potential for improving care and efficiency, but “that must be done within guardrails and guidelines so that we do no digital harm,” said Paul Cerrato and John Halamka, MD. In this piece, they discuss the key components for successful development and deployment of AI tools.
Automation Complacency: Where Will the Thinking Go?
“We are so hell-bent on simplifying our work, reducing our EHR burden, we sometimes forget that this work is more than just pointing, clicking, and typing.” In this piece, CT Lin, MD, CMIO at UCHealth, examines the downside of inserting GPT assistants into the EHR and suggests a different strategy for leveraging digital tools.