评估人工智能 (AI) 对临床文档在临床环境中的效率和准确性的影响:一个范围审查
Craig Lee1, Shawn Britto1, Khaled Diwan1
1General Internal Medicine, University Hospitals Plymouth NHS Trust, Plymouth, GBR.
人工智能 (AI) 提高了临床文档的准确性和效率,减少了临床医生的工作量,并为患者护理提供了更多的时间. 需要进一步的研究来应对诸如错误管理和EHR集成等挑战.
科学领域:
- 医疗信息学 医疗信息学
- 医疗人工智能 医疗人工智能
- 临床文档系统 临床文档系统
背景情况:
- 临床文档对于医疗保健专业人员来说至关重要但耗时.
- 人工智能 (AI) 技术为增强文档流程提供了潜在的解决方案.
- 现有文献需要全面审查,以了解AI对临床文档准确性和效率的影响.
研究的目的:
- 对AI对临床文档的影响进行范围审查.
- 评估AI对各种医疗保健环境中的文档准确性和效率的影响.
- 在临床文档中识别与人工智能相关的挑战和伦理考虑.
主要方法:
- 在Ovid,PubMed和BMJ数据库中系统搜索相关文章.
- 在临床文档中包含2019年以后发表的专注于AI (NLP,ML,SR) 的研究.
- 根据PRISMA指南进行数据提取和分析,具有评级者之间的可靠性 (科恩的kappa=1.0).
主要成果:
- 人工智能技术在临床文档准确性和效率方面取得了改进.
- 观察到临床医生的工作量减少和简化文档流程.
- 增加患者护理时间被报告为益处.
结论:
- 人工智能显著提高了临床文档的准确性和效率,减少了医生负担.
- 挑战包括错误管理,法律责任,EHR集成和数据隐私问题.
- 进一步的研究和监管框架对于优化医疗保健中人工智能实施至关重要.
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