Whole-Genome Sequencing Surveillance and Machine Learning of the Electronic Health Record for Enhanced Healthcare Outbreak Detection

Volume: 75, Issue: 3, Pages: 476 - 482
Published: Nov 12, 2021
Abstract
Most hospitals use traditional infection prevention (IP) methods for outbreak detection. We developed the Enhanced Detection System for Healthcare-Associated Transmission (EDS-HAT), which combines whole-genome sequencing (WGS) surveillance and machine learning (ML) of the electronic health record (EHR) to identify undetected outbreaks and the responsible transmission routes, respectively.We performed WGS surveillance of healthcare-associated...
Paper Details
Title
Whole-Genome Sequencing Surveillance and Machine Learning of the Electronic Health Record for Enhanced Healthcare Outbreak Detection
Published Date
Nov 12, 2021
Volume
75
Issue
3
Pages
476 - 482
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