Open AccessAutomated data mining of the electronic health record for investigation of healthcare-associated outbreaks
Author(s) -
Alexander Sundermann,
Judy Z. Miller,
Jane W. Marsh,
Melissa Saul,
Kathleen A. Shutt,
Marissa P Pacey,
Mustapha M. Mustapha,
Ashley Ayres,
A. William Pasculle,
Jieshi Chen,
Graham M Snyder,
Artur Dubrawski,
Lee H. Harrison
Publication year - 2019
Publication title -
infection control and hospital epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.243
H-Index - 138
eISSN - 1559-6834
pISSN - 0899-823X
DOI - 10.1017/ice.2018.343
Subject(s) - outbreak , transmission (telecommunications) , medicine , timeline , medical emergency , health care , medical record , emergency medicine , data mining , computer science , geography , virology , telecommunications , archaeology , economic growth , economics
Identifying routes of transmission among hospitalized patients during a healthcare-associated outbreak can be tedious, particularly among patients with complex hospital stays and multiple exposures. Data mining of the electronic health record (EHR) has the potential to rapidly identify common exposures among patients suspected of being part of an outbreak.