人工智能在病学中的整合:评估ChatGPT,以获得准确的ICD-10文档和编码.
Yasir Abdelgadir1, Charat Thongprayoon1, Jing Miao1
1Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United States.
Frontiers in artificial intelligence
|September 17, 2024
概括
聊天GPT 4.0显著提高了ICD-10编码精度,用于科疾病,减少了医生的工作量. 持续的AI系统审查对于准确的医疗保健数据和患者护理至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床文档 临床文档
背景情况:
- 准确的国际疾病分类,第10版 (ICD-10) 编码对于医疗补偿,患者护理和研究至关重要.
- 人工智能 (AI),特别是像ChatGPT这样的大型语言模型,为提高编码精度和减轻医生负担提供了潜在的解决方案.
- 这项研究调查了人工智能的有效性,以简化脏病专业内的ICD-10编码过程.
研究的目的:
- 评估ChatGPT (3.5和4.0版本) 在准确地分配脏病疾病的ICD-10代码方面的性能.
- 使用模拟案例场景来比较不同版本的ChatGPT编码精度.
- 评估人工智能的潜力,以减少与医疗编码相关的工作量.
主要方法:
- 100个模拟脏病例是由两位专家脏病学家开发的.
- 聊天GPT版本3.5和4.0的任务是为这些病例分配ICD-10代码.
- 通过将人工智能生成的代码与预先确定的正确代码进行比较,在两轮评估中评估性能.
主要成果:
- 与ChatGPT 3.5相比,ChatGPT 4.0表现出卓越的准确性,在两轮编码中都实现了99%的正确编码 (91%在第1轮,87%在第2轮).
- 在ChatGPT 4.0和3.5之间观察到统计学上显著的准确性差异 (p <0.05).
- 在两轮评估中,编码准确性保持一致,表明AI性能稳定.
结论:
- 聊天GPT 4.0显示了显著的潜力,以提高ICD-10编码精度在病学,特别是在访问前测试场景.
- 实施像ChatGPT这样的AI工具可以帮助减少医疗保健专业人员的行政工作负担.
- 虽然有希望,但需要继续改进人工智能系统,以尽量减少错误,并确保可靠的数据用于报销,患者护理和研究.
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