纵向临床决策支持,以评估随时间推移的决策:最新情况和未来方向
Tyler J Loftus1,2, Jeremy A Balch1,2, Jenna L Marquard3,4
1Department of Surgery, University of Florida Health, Gainesville, FL, USA.
Digital health
|May 6, 2024
概括
纵向临床决策支持 (CDS) 系统,追踪医疗保健决策的时间,在研究中代表性不足. 未来的发展应侧重于自动化数据输入,生活指南和用户准备性评估,以改善患者护理.
科学领域:
- 医疗信息学 医疗信息学
- 临床决策支持系统 临床决策支持系统
- 纵向数据分析 纵向数据分析
背景情况:
- 临床决策支持 (CDS) 系统通常提供即时建议.
- 医疗保健决策往往是动态的,对患者和临床医生来说,随着时间的推移而演变.
- 需要CDS来反映医疗保健决策的纵向性质.
研究的目的:
- 系统地审查和映射纵向CDS的挑战和促进者.
- 确定改善CDS的机会,以支持同一患者或临床医生的多个时间点的决策.
主要方法:
- 对Embase,PubMed和Medline数据库进行系统范围审查.
- 包括关于面向患者或临床医生的纵向CDS开发,验证或实施的文章.
- 根据PRISMA-ScR指南报告,使用经过验证的质量评估工具.
主要成果:
- 在文献中确定了八个独特的CDS系统.
- 没有任何系统使用完全自动化的数据输入或生活指南来更新证据.
- 挑战包括低于最佳的研究设计和用户界面问题.
- 促进者包括前性研究设计,增加CDS吸收和机器学习.
结论:
- 纵向CDS的文献稀少,尽管其直观的好处.
- 有机会将自动数据输入,生活指南和准备性评估纳入.
- 需要进一步的研究和专家共识,以建立纵向CDS的最佳实践.
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