id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-255956-xfky1q4p	Narayan, Venkataraman	Innovative Use of Health Informatics to Augment Contact Tracing during the COVID19 Pandemic in an Acute Hospital	2020-08-24		.txt	text/plain	1287	57	46	This case report described the innovative design and build of an algorithm that integrated available data from separate hospital-based informatics systems that perform different daily functions to augment the contact tracing process of COVID-19 patients through identifying exposed neighboring patients and healthcare workers and assess their risk. This benchmark was in line with the US-CDC Interim guidance for Risk Assessment and Management of healthcare personnel with potential exposure to COVID-19 that stated that the care team contact tracing process should be completed within 24 hours of each case's identification. [4] Data scientists, operations managers and clinical staff worked closely to integrate data available in the informatics systems with human-based interviews to improve the timeliness, comprehensiveness and efficiency of the contact tracing process. A data-mining algorithm was developed to integrate the available data from hospital-based informatics systems that perform various day-to-day functions to augment the contact tracing process of COVID-19 patients to identify exposed HCWs and neighboring patients.	./cache/cord-255956-xfky1q4p.txt	./txt/cord-255956-xfky1q4p.txt