一个框架和方法来衡量数据科学在重症监护中的实施
Daniel Woznica1, Tamara Al-Hakim1, Vishakha K Kumar1
1Society of Critical Care Medicine, Mount Prospect, IL.
Critical care explorations
|February 17, 2026
概括
在重症监护中实施数据科学面临障碍. 一个新的框架,SCCM发现数据科学运动 (DSC) 实施研究逻辑模型 (IRLM),衡量采用,实施和维持这些工具.
科学领域:
- 关键护理医学 关键护理医学
- 数据科学是数据科学.
- 实施科学 实施科学
背景情况:
- 显著的障碍阻碍了在重症监护研究和实践中采用数据科学概念,技能和工具.
- 解决这些障碍对于推进重症监护至关重要.
- 数据科学为重症监护提供了变革性的潜力.
研究的目的:
- 开发和介绍一个框架来衡量数据科学在重症监护中的实施.
- 介绍关键护理医学学会 (SCCM) 发现数据科学运动 (DSC) 实施研究逻辑模型 (IRLM).
- 为了解实施驱动因素提供一个理论上有基础的和经验上可评估的模型.
主要方法:
- 开发了一个基于科学的实施框架和方法.
- 该框架被称为SCCM发现DSC实施研究逻辑模型 (IRLM).
- 在IRLM中规定了决定因素,策略,行动机制和结果的构造.
主要成果:
- 该IRLM概述了影响数据科学实施的关键决定因素 (障碍和促进因素).
- 它详细介绍了SCCM Discovery DSC使用的实施策略.
- 该模型将战略与行动机制和实施结果联系起来.
结论:
- 开发的IRLM可以增强在重症监护中数据科学实施的测量.
- 它促进了严格的,理论上有基础的和经验上可以评估的评估.
- 这个模型支持成功地将数据科学整合到重症监护机构.
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