Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
Sci Data. 2018 Sep 11;5:180178. doi: 10.1038/sdata.2018.178.
Critical care patients are monitored closely through the course of their illness. As a result of this monitoring, large amounts of data are routinely collected for these patients. Philips Healthcare has developed a telehealth system, the eICU Program, which leverages these data to support management of critically ill patients. Here we describe the eICU Collaborative Research Database, a multi-center intensive care unit (ICU)database with high granularity data for over 200,000 admissions to ICUs monitored by eICU Programs across the United States. The database is deidentified, and includes vital sign measurements, care plan documentation, severity of illness measures, diagnosis information, treatment information, and more. Data are publicly available after registration, including completion of a training course in research with human subjects and signing of a data use agreement mandating responsible handling of the data and adhering to the principle of collaborative research. The freely available nature of the data will support a number of applications including the development of machine learning algorithms, decision support tools, and clinical research.
重症监护患者在疾病过程中会受到密切监测。由于这种监测，这些患者的日常数据会被大量收集。飞利浦医疗保健公司开发了一种远程医疗系统，即 eICU 计划，该系统利用这些数据来支持重症患者的管理。在这里，我们描述了 eICU 协作研究数据库，这是一个多中心重症监护病房 (ICU) 数据库，其中包含在美国 eICU 计划监测的 20 多万例 ICU 入院患者的高粒度数据。该数据库是去识别的，包括生命体征测量、护理计划文档、疾病严重程度测量、诊断信息、治疗信息等。注册后即可公开获取数据，包括完成一项涉及人类受试者的研究培训课程，并签署一份数据使用协议，规定对数据进行负责任的处理，并遵守协作研究的原则。数据的免费可用性将支持许多应用，包括开发机器学习算法、决策支持工具和临床研究。
