id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-287336-jvc1e8cq	Sass, J.	The German Corona Consensus Dataset (GECCO): A standardized dataset for COVID-19 research	2020-07-29		.txt	text/plain	2252	158	49	Here, we introduce the "German Corona Consensus Dataset" (GECCO), a uniform dataset that uses international terminologies and health IT standards to improve interoperability of COVID-19 data. Methods: Based on previous work (e.g., the ISARIC-WHO COVID-19 case report form) and in coordination with experts from university hospitals, professional associations and research initiatives, data elements relevant for COVID-19 research were collected, prioritized and consolidated into a compact core dataset. Results: A core dataset consisting of 81 data elements with 281 response options was defined, including information about, for example, demography, anamnesis, symptoms, therapy, medications or laboratory values of COVID-19 patients. To improve interoperability of COVID-19 data, we developed the German Corona Consensus Dataset (GECCO), which uses international health IT standards and terminologies for interoperable data exchange. By using standardized data structures (HL7 FHIR profiles) and international terminologies, the GECCO dataset is an important step towards interoperability of COVID-19 research data.	./cache/cord-287336-jvc1e8cq.txt	./txt/cord-287336-jvc1e8cq.txt