Generative AI costs in large healthcare systems, an example in revenue cycle.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 41028226.
- Also identified by DOI 10.1038/s41746-025-01971-x and PMC identifier 12485018.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Application of large language models in healthcare continues to expand, specifically for medical free-text classification tasks. While foundation models like those from ChatGPT show potential, alternative models demonstrate superior accuracy and lower costs. This study underscores significant challenges, including computational costs and model reliability. Amidst rising healthcare expenditures and AI's perceived potential to reduce costs, a combination of local and commercial models might offer balanced solutions for healthcare systems.