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<p>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.</p>

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Generative AI costs in large healthcare systems, an example in revenue cycle

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月30日

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  • Michael L. Burns,
  • Ssu-Ying Chen,
  • Chu-An Tsai,
  • John Vandervest,
  • Balaji Pandian,
  • Paige Nong,
  • David A. Hanauer,
  • Andrew Rosenberg,
  • Jodyn Platt

摘要

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.