人工智能可以改善斯堪的纳维亚的临床编码实践:交叉随机对照试验.
Taridzo Chomutare1, Therese Olsen Svenning2, Miguel Ángel Tejedor Hernández2
1Department of Computer Science, Faculty of Science and Technology, UiT The Arctic University of Norway, Hansine Hansens vei 54, Tromsø, N-9037, Norway, 47 47680032.
一个人工智能工具Easy-ICD显著减少了长文件的临床编码时间,减少了46%. 虽然长短笔记的准确性有所改善,但它们在统计学上并不显著. 为了实现现实世界的医院整合,需要进一步的研究.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 改善临床文档 改善临床文档
背景情况:
- 临床编码对于医疗保健业务至关重要,但由于初级人员的错误,在斯堪的纳维亚国家面临挑战.
- 人工智能 (AI) 工具有可能减轻文档负担并提高编码准确性.
- 现有的AI编码工具评估往往缺乏现实世界的临床设置复杂性.
研究的目的:
- 评估Easy-ICD AI工具在临床编码的现实环境中的有效性.
- 为了确定Easy-ICD是否减少了编码时间并提高了数据质量.
- 为了研究长期和短期临床笔记之间的性能差异.
主要方法:
- 在瑞典和挪威进行了1:1的交叉随机对照试验.
- 参与者使用了Easy-ICD工具与不使用它,交替使用较长和较短的临床笔记.
- 用曼-惠特尼U测试测量和分析了编码时间和准确性.
主要成果:
- 简单的ICD将更长的临床笔记 (P<.001) 的中位编码时间减少了46% (123秒).
- 在较短的临床笔记中没有观察到显著的时间缩短 (P=.25).
- 编码准确性显示,对于较长 (62%对67%) 和较短的笔记 (60%对70%),编码准确性没有显著改善.
结论:
- 像Easy-ICD这样的AI工具显示出提高临床编码效率的潜力,特别是在复杂,较长的文档中.
- 需要进一步的医院内研究来验证这些发现在常规的临床工作流程中.
- 用户对人工智能对较长笔记的建议的满意度略高.
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