A strategy for cost-effective large language model use at health system-scale

Abstract Large language models (LLMs) can optimize clinical workflows; however, the economic and computational challenges of their utilization at the health system scale are underexplored. We evaluated how concatenating queries with multiple clinical notes and tasks simultaneously affects model perf...

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Bibliographic Details
Main Authors: Eyal Klang, Donald Apakama, Ethan E. Abbott, Akhil Vaid, Joshua Lampert, Ankit Sakhuja, Robert Freeman, Alexander W. Charney, David Reich, Monica Kraft, Girish N. Nadkarni, Benjamin S. Glicksberg
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-024-01315-1
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