重症监护的关键数据:重症医学会数据共享与协调小组关于利用电子健康记录数据进行研究的入门指南。

Q4 Medicine
Critical care explorations Pub Date : 2024-11-15 eCollection Date: 2024-11-01 DOI:10.1097/CCE.0000000000001179
Smith F Heavner, Vishakha K Kumar, Wes Anderson, Tamara Al-Hakim, Pam Dasher, Donna Lee Armaignac, Gilles Clermont, J Perren Cobb, Sean Manion, Kenneth E Remy, Karin Reuter-Rice, Melissa Haendel
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引用次数: 0

摘要

越来越多的重症监护研究利用来自电子健康记录 (EHR) 的真实世界数据。床旁临床医生有无数的数据源来帮助临床决策,但由于缺乏数据共享和统一标准,这些数据大部分都无法用于多机构重症监护研究。重症医学学会(SCCM)发现数据科学运动召集了一个重症医学和数据科学专家小组,以探索和记录在重症医学研究中利用电子病历数据的独特优势和机遇。本文回顾并阐述了六个组织主题(数据域和通用数据元素;数据协调;数据质量;数据互操作性和数字基础设施;数据访问、共享和管理;以及伦理和公平),作为重症医学研究人员的数据科学入门指南,为 SCCM 发现数据协调和共享指导原则小组未来的出版物奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Critical Data for Critical Care: A Primer on Leveraging Electronic Health Record Data for Research From Society of Critical Care Medicine's Panel on Data Sharing and Harmonization.

A growing body of critical care research draws on real-world data from electronic health records (EHRs). The bedside clinician has myriad data sources to aid in clinical decision-making, but the lack of data sharing and harmonization standards leaves much of this data out of reach for multi-institution critical care research. The Society of Critical Care Medicine (SCCM) Discovery Data Science Campaign convened a panel of critical care and data science experts to explore and document unique advantages and opportunities for leveraging EHR data in critical care research. This article reviews and illustrates six organizing topics (data domains and common data elements; data harmonization; data quality; data interoperability and digital infrastructure; data access, sharing, and governance; and ethics and equity) as a data science primer for critical care researchers, laying a foundation for future publications from the SCCM Discovery Data Harmonization and Sharing Guiding Principles Panel.

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CiteScore
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