足手术中的计费和编码:我们可以信任人工智能吗?
Gina Provenzano1, Joseph A S McCahon2, Amy Nghe3
1Thomas Jefferson University Hospital, Philadelphia, Pennsylvania.
Foot & ankle specialist
|August 20, 2025
概括
人工智能 (AI) 工具在生成足手术的现行程序术语 (CPT) 代码时的准确性有限. 虽然Bing的表现最好,但建议不要完全依赖人工智能来确定骨科编码准确度.
科学领域:
- 医疗信息学
- 医疗保健中的人工智能
- 整形外科编码
背景情况:
- 骨科手术的计费和编码是复杂的,有许多代码和修改器.
- 脚部和脚手术具有很高的变异性,与其他骨科子专业相比,编码很复杂.
研究的目的:
- 评估领先的人工智能搜索引擎在识别常见脚手术的现行程序术语 (CPT) 代码方面的准确性.
主要方法:
- 对人工智能搜索引擎 (ChatGPT,Bing,Google Gemini) 进行CPT代码生成的比较分析.
- 人工智能生成的代码与受过奖学金培训的足外科医生设定的参考标准进行了比较.
- 科恩卡帕系数评估了人工智能平台与外科医生参考标准之间的一致性.
主要成果:
- 人工智能搜索引擎在44%的时间内正确生成CPT代码.
- Bing的准确率最高 (62%正确,23%部分正确),而ChatGPT的准确率最低 (23%正确).
- 整体AI与外科医生标准的一致性为"公平" (kappa = 0.201),而Bing显示"适度"的一致性 (kappa = 0.405).
结论:
- 目前的人工智能能力显示出潜力,但需要谨慎对准确的骨科脚手术CPT代码产生.
- 在AI可用于复杂的医疗编码任务之前,需要进一步开发和验证.
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