Critical Path Institute, Tucson, AZ.
Department of Public Health Sciences, Clemson University, Clemson, SC.
Crit Care Explor. 2024 Nov 15;6(11):e1179. doi: 10.1097/CCE.0000000000001179. eCollection 2024 Nov.
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.
越来越多的重症监护研究利用电子健康记录 (EHR) 中的真实世界数据。床边临床医生有无数的数据源来辅助临床决策，但由于缺乏数据共享和协调标准，使得许多此类数据无法用于多机构重症监护研究。重症监护医学会 (SCCM) 发现数据科学运动召集了一组重症监护和数据科学专家，探讨和记录利用电子健康记录数据在重症监护研究中的独特优势和机会。本文回顾并说明了六个组织主题（数据领域和常用数据元素；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、共享和治理；以及伦理和公平），作为重症监护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的未来出版物奠定基础。
