聊天机器人在手术诊所遇到手术诊所的计费中表现出适度的间隔可靠性
Luke D Latario1,2, John R Fowler2
1University of Pittsburgh Medical Center Passavant, PA, USA.
概括
人工智能 (AI) 聊天机器人在医疗计费方面显示出中等可靠性,与外科医生达成68%的协议. 这表明,人工智能可以简化医疗保健中的行政任务,提高效率并降低成本.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 医疗保健管理部门的管理.
背景情况:
- 人工智能 (AI) 提供了减轻医疗保健管理负担的机会.
- 在医疗编码和计费方面,机器学习应用可以在最小的风险下为患者的结果提供显著的时间和成本节省.
研究的目的:
- 评估公开可用的人工智能聊天机器人Gemini在生成手术接触的当前程序术语 (CPT) 代码方面的性能.
- 为了评估人工智能聊天机器人和手术医生之间的互评测可靠性,以确定医疗计费的准确性.
主要方法:
- 一个大型语言模型聊天机器人 (Gemini) 被查询了139个未被识别的患者接触.
- 人工智能被要求根据遭遇类型的标准分配CPT代码.
- 百分比协议和科恩的卡帕系数被计算来衡量可靠性.
主要成果:
- 双子座与外科医生达成68%的总体一致,卡帕系数为0.586 (中等可靠性).
- 术后接触 (98%) 的一致性最高,新接触的一致性最低 (48%).
- 人工智能建议较高的收费水平是31倍,较低的水平是10倍,有4个错误的遭遇类型代码.
结论:
- 一个通用AI聊天机器人在与手术医生相比,在医疗计费任务中表现出适度的interrater可靠性.
- 将人工智能工具集成到医生工作流中可以提高计费的准确性和速度,从而降低管理费用.
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