id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-259338-q3kw6n9o	Jean, Sim Xiang Ying	Utilizing the Electronic Health Records to Create a Syndromic Staff Surveillance System During the COVID-19 outbreak	2020-11-04		.txt	text/plain	2561	134	49	We aimed to create a prototype staff surveillance system for the detection of acute respiratory infection (ARI) clusters amongst our healthcare workers (HCWs) and describe its effectiveness. Conclusion The use of syndromic surveillance to detect ARI clusters amongst HCWs in the COVID-19 pandemic may enable early case detection and prevent onward transmission. Utilizing the electronic health records, we have created a prototypic surveillance system in the detection of acute respiratory infection (ARI) clusters amongst staff and aim to describe its effectiveness in this study. The aim of this descriptive analytic study is to describe the effectiveness of a prototypic staff syndromic surveillance system in identifying acute respiratory infection (ARI) clusters amongst the staff population in the hospital. This initial feasibility study shows that the use of a syndromic surveillance system has the ability to identify ARI clusters amongst staff populations that would initiate downstream investigation and active screening.	./cache/cord-259338-q3kw6n9o.txt	./txt/cord-259338-q3kw6n9o.txt