在临床工作流程中评估认知负载突出了指导方针一致的静止剂启动的杆点
Ratnalekha V N Viswanadham1, Yuhan Cui1, Priyanka Solanki2
1NYU Grossman School of Medicine.
Research square
|November 24, 2025
概括
电子健康记录 (EHR) 的元数据可以测量初级保健提供者的认知负载在他类药物处方期间. 优化EHR工作流程可以减少认知负担,改善准则遵守和患者护理.
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
- 初级保健研究研究初级保健研究
背景情况:
- 电子健康记录 (EHR) 是现代医疗保健不可或缺的一部分,但它们对临床医生的认知负载和护理质量的影响需要进一步调查.
- 了解EHR使用与临床决策之间的关系对于优化医疗保健提供和缩小医疗护理差距至关重要.
- 药物处方指南旨在预防心血管事件,但坚持可以受到复杂的临床工作流的影响.
研究的目的:
- 调查EHR元数据如何可以量化初级保健提供者 (PCP) 在他类药物处方期间的认知负载.
- 为了确定特定的EHR工作流事件,这些事件有助于认知负载和影响他类药物的启动.
- 探索认知负载指标与他类药物开始率之间的关联.
主要方法:
- 对EHR初级保健的回顾性分析遇到来自大型学术卫生系统的数据.
- 成年患者的ASCVD风险评分的计算,满足他类药物启动标准.
- 从EHR元数据中导出认知负载指标,使用后勤回归和带有SHAP值的梯度增强森林.
主要成果:
- 较长的遭遇持续时间与较高的他类药物启动概率相关,而每次EHR事件的时间较长减少了它.
- 在认知负载指标 (循环计数,明显事件计数) 和他类药物启动概率之间发现了非线性关系.
- 每次事件的平均时间是开始服用他类药物的最强有力的预测因素,审查实验室结果和使用订单集也与此积极相关.
结论:
- 电子心脏表格元数据可以有效地将认知负载与临床行为 (如他类药物处方) 联系起来.
- 认知负载和他类药物启动之间的非线性关联凸显了受到EHR影响的决策的复杂性.
- 优化EHR系统以减少认知负担对于改善准则遵守和患者护理结果至关重要.
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