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Leveraging electronic data to expand infection detection beyond traditional settings and definitions (Part II/III).

Authors :
Branch-Elliman W
Sundermann AJ
Wiens J
Shenoy ES
Source :
Antimicrobial stewardship & healthcare epidemiology : ASHE [Antimicrob Steward Healthc Epidemiol] 2023 Feb 10; Vol. 3 (1), pp. e27. Date of Electronic Publication: 2023 Feb 10 (Print Publication: 2023).
Publication Year :
2023

Abstract

The rich and complex electronic health record presents promise for expanding infection detection beyond currently covered settings of care. Here, we review the "how to" of leveraging electronic data sources to expand surveillance to settings of care and infections that have not been the traditional purview of the National Healthcare Safety Network (NHSN), including a discussion of creation of objective and reproducible infection surveillance definitions. In pursuit of a 'fully automated' system, we also examine the promises and pitfalls of leveraging unstructured, free-text data to support infection prevention activities and emerging technological advances that will likely affect the practice of automated infection surveillance. Finally, barriers to achieving a completely 'automated' infection detection system and challenges with intra- and interfacility reliability and missing data are discussed.<br /> (© The Author(s) 2023.)

Details

Language :
English
ISSN :
2732-494X
Volume :
3
Issue :
1
Database :
MEDLINE
Journal :
Antimicrobial stewardship & healthcare epidemiology : ASHE
Publication Type :
Academic Journal
Accession number :
36865709
Full Text :
https://doi.org/10.1017/ash.2022.342