通用纵向重症监护室数据格式（CLIF），实现多机构联合重症研究

medRxiv - Health Informatics Pub Date : 2024-09-04 DOI:10.1101/2024.09.04.24313058

Juan C. Rojas, Patrick G. Lyons, Kaveri Chhikara, Vaishvik Chaudhari, Sivasubramanium V. Bhavani, Muna Nour, Kevin G. Buell, Kevin D. Smith, Catherine A. Gao, Saki Amagai, Chengsheng Mao, Yuan Luo, Anna K Barker, Mark Nuppnau, Haley Beck, Rachel Baccile, Michael Hermsen, Zewei Liao, Brenna Park-Egan, Kyle A Carey, XuanHan, Chad H Hochberg, Nicholas E Ingraham, William F Parker

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摘要

背景危重病或需要生命支持的急性器官衰竭每年威胁着 500 多万美国人的生命。电子健康记录（EHR）数据是细粒度信息的来源，可为了解危重病的性质和最佳治疗方法提供重要依据。然而，数据管理、安全性和标准化是大规模危重病电子病历研究的障碍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Common Longitudinal Intensive Care Unit data Format (CLIF) to enable multi-institutional federated critical illness research

Background Critical illness, or acute organ failure requiring life support, threatens over five million American lives annually. Electronic health record (EHR) data are a source of granular information that could generate crucial insights into the nature and optimal treatment of critical illness. However, data management, security, and standardization are barriers to large-scale critical illness EHR studies.

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medRxiv - Health Informatics

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