数据表示结构以支持儿科重症监护病房的临床决策:面试研究和初步决策支持接口设计
Najia Yakob1, Sandrine Laliberté2, Philippe Doyon-Poulin2
1École de technologie supérieure, Montreal, QC, Canada.
JMIR formative research
|February 1, 2024
概括
这项研究通过开发新的结构和原型来支持临床决策支持系统 (CDSS) 并改善患者护理,优化了儿科重症监护室 (PICU) 中的临床数据表示.
科学领域:
- 临床信息学 临床信息学
- 人与计算机的交互
- 儿科重症监护医学 儿科重症监护医学
背景情况:
- 临床决策依赖于解释各种数据,数据表示影响效率.
- 临床决策支持系统 (CDSS) 帮助临床医生,但PICU中的大量数据带来了挑战.
- 当前的数据结构和可视化阻碍了儿科重症监护室 (PICU) 的认知过程和决策.
研究的目的:
- 设计一个原型,优化来自各种来源的临床数据表示,用于PICU CDSS集成.
- 分析最终用户需求和临床工作流程,以告知数据结构设计.
主要方法:
- 在PICU中观察到的临床活动和员工工作流程.
- 对11名临床医生进行了采访,以确定决策支持需求.
- 结构化数据并设计了一个原型,通过脑损伤场景和临床医生反进行验证.
主要成果:
- 开发了一个三级数据结构 (单位,患者,系统) 以优化表示和CDSS托管.
- 根据新的数据结构创建了一个初步原型.
- 该结构促进了患者的优先级,个性化评估和临床价值观的监测.
结论:
- 新的数据表示结构增强了PICU中的患者优先级,评估和监测.
- 需要进一步的研究来建模关键性,问题识别和进化.
- 计划进行可行性测试,以确保用户对原型的满意度.
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