LLMs in Gastroenterology: Balancing Clinical Benefits Against Privacy and Accuracy Risks
By
Edited by Mandeep Singh Rawat
Summary
This article examines the use of large language models (LLMs) in gastroenterology and hepatology practices. It highlights benefits such as drafting clinical notes, summarizing complex data, and managing patient messages, while also addressing risks including confident but incorrect outputs, algorithmic bias, and potential exposure of sensitive health information. The article emphasizes the need for proportional deployment based on clinical risk, mandatory human oversight, compliance with privacy laws, use of vetted medical sources, transparent disclosure, and continuous monitoring and governance.
Source
Key quotes
· 3 pulledLarge language models (LLMs) can assist clinicians in gastroenterology and hepatology by drafting notes, summarizing complex data, and managing patient messages.
Because they can produce confident yet incorrect or biased outputs and may expose sensitive health information, they must be deployed proportionally to clinical risk.
There must be mandatory human oversight, compliance with privacy laws, use of vetted medical sources, transparent disclosure, and continuous monitoring and governance.
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