通过计算机诊断决策支持系统支持的诊断与紧急病人的传统诊断 (DDX-BRO):多中心,多期,双盲,集群随机,交叉优越性试验
Wolf E Hautz1, Thimo Marcin1, Stefanie C Hautz1
1Department of Emergency Medicine, Inselspital University Hospital Bern, University of Bern, Bern, Switzerland.
The Lancet. Digital health
|January 31, 2025
概括
计算机化诊断决策支持系统 (CDDSS) 并没有提高急诊部门的诊断质量. 需要进行进一步的研究,以确定CDDSS在改善患者结果方面有效的特定背景.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持 临床决策支持
- 紧急医疗 紧急医疗
背景情况:
- 诊断错误是医疗保健的一个重大挑战.
- 计算机化诊断决策支持系统 (CDDSS) 在常规临床实践中的有效性仍然存在争议.
- 在急诊室对CDDSS的未来随机试验很少.
研究的目的:
- 调查在急诊室设置中使用CDDSS进行的诊断是否优于没有支持的诊断.
- 评估CDDSS对成年患者诊断质量风险的影响.
主要方法:
- 一个多中心,集群随机化,交叉优越性试验在四个瑞士急诊室进行.
- 患者被分配到有或没有CDDSS支持 (常规护理) 的时期.
- 主要结局是综合得分,表明在14天内诊断质量风险.
主要成果:
- 1204名成年患者被纳入初级疗效分析.
- 18%的CDDSS支持诊断的患者和18%的未支持诊断的患者 (aOR 0.96,95%CI 0.71-1.3) 观察到诊断质量风险.
- 没有任何严重的不良事件与这项研究有关.
结论:
- 使用CDDSS并没有减少与急诊室常规护理相比,诊断质量风险的发生.
- 未来的研究应该专注于确定CDDSS有效的特定环境,以及如何调整CDDSS以改善患者的治疗结果.
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