谷歌的人工智能概述对当前手术术术语编码在手术程序中的编码是否准确?
Daniel A Portney1, Jacob M Johnson2, Kathryn R Segal1
1The Warren Alpert Medical School of Brown University, Providence, RI; University Orthopedics, East Providence, RI.
The Journal of hand surgery
|January 23, 2026
概括
谷歌AI概述在90%的时间提供准确的当前程序术语 (CPT) 代码. 虽然有用,但手术医生应该验证人工智能生成的CPT代码,特别是在神经和肌手术中,因为准确度可变.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 手术编码 术术编码
背景情况:
- 人工智能 (AI) 整合到谷歌等搜索引擎中影响了医疗信息检索.
- 准确的当前程序术语 (CPT) 编码对于医疗保健计费和退款至关重要.
- 了解人工智能生成的CPT代码的可靠性对于医疗保健提供者来说至关重要.
研究的目的:
- 为了评估谷歌的AI概述功能在识别手和上肢手术的正确CPT代码时的准确性.
- 确定特定程序子组是否在AI生成的CPT代码建议中表现出较低的准确率.
主要方法:
- 为手和上肢手术选择了100个常见的CPT代码.
- 在谷歌上搜索了150个不同的程序短语,包括像"arthrodesis"和"fusion"这样的变化.
- 使用专门的编码资源 (AAOS CodeX,ASSH编码应用程序) 评估代码的准确性.
主要成果:
- 谷歌AI概述在90%的搜索中提供了准确的CPT代码.
- 肌 (78%) 和神经 (71%) 的手术与骨手术 (88%) 和其他手术 (>90%) 相比,准确性较低.
- 10%的查询产生了多个代码,15个中的14个包含正确的代码;缩写的使用没有显著影响准确性.
结论:
- 谷歌AI概述可以作为CPT代码识别的有用工具,但不应该仅仅依赖它.
- 手术医生和编码人员必须意识到人工智能在程序编码中的优势和局限性.
- 人工智能工具的持续评估是必要的,因为它们越来越融入临床实践.
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