id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-276405-yfvu83r9	Brat, Gabriel A.	International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium	2020-08-19		.txt	text/plain	5729	285	46	Because EHRs are not themselves agile analytic platforms, we have been successfully building upon the open source and free i2b2 (for Informatics for Integrating Biology and the Bedside) toolkit [10] [11] [12] [13] [14] [15] [16] [17] to manage, compute, and share data extracted from EHRs. In response to COVID-19, we have organized a global community of researchers, most of whom are or have been members of the i2b2 Academic Users Group, to rapidly set up an ad hoc network that can begin to answer some of the clinical and epidemiological questions around COVID-19 through data harmonization, analytics, and visualizations. Laboratory value trajectories Our initial data extraction included 14 laboratory markers of cardiac, renal, hepatic, and immune dysfunction that have been strongly associated with poor outcomes in COVID-19 patients in previous publications.	./cache/cord-276405-yfvu83r9.txt	./txt/cord-276405-yfvu83r9.txt