Designing Surveillance of Healthcare-Associated Infections in the Era of Automation and Reporting Mandates

Maaike S.M Van Mourik; Eli N Perencevich; Petra Gastmeier; Marc J.M Bonten

doi:10.1093/cid/cix835

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Designing Surveillance of Healthcare-Associated Infections in the Era of Automation and Reporting Mandates

Journal article

Open access

Peer reviewed

Designing Surveillance of Healthcare-Associated Infections in the Era of Automation and Reporting Mandates

Maaike S.M Van Mourik, Eli N Perencevich, Petra Gastmeier and Marc J.M Bonten

Clinical Infectious Diseases, Vol.66(6), pp.970-976

2018

DOI: 10.1093/cid/cix835

PMID: 29514241

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Abstract

Surveillance and feedback of infection rates to clinicians and other stakeholders is a cornerstone of healthcare-associated infection (HAI) prevention programs. In addition, HAIs are increasingly included in public reporting and payment mandates. Conventional manual surveillance methods are resource intensive and lack standardization. Developments in information technology have propelled a movement toward the use of standardized and semiautomated methods.When developing automated surveillance systems, several strategies can be chosen with regard to the degree of automation and standardization and the definitions used. Yet, the advantages of highly standardized surveillance may come at the price of decreased clinical relevance and limited preventability. The choice among (automated) surveillance approaches, therefore, should be guided by the intended aim and scale of surveillance (eg, research, in-hospital quality improvement, national surveillance, or pay-for-performance mandates), as this choice dictates subsequent methods, important performance characteristics, and suitability of the data generated for the different applications.

Details

Title: Subtitle: Designing Surveillance of Healthcare-Associated Infections in the Era of Automation and Reporting Mandates
Creators: Maaike S.M Van Mourik
Eli N Perencevich
Petra Gastmeier
Marc J.M Bonten
Resource Type: Journal article
Publication Details: Clinical Infectious Diseases, Vol.66(6), pp.970-976
DOI: 10.1093/cid/cix835
PMID: 29514241
NLM abbreviation: Clin Infect Dis
ISSN: 1058-4838
eISSN: 1537-6591
Grant note: DOI: 10.13039/100000738, name: U.S. Department of Veterans Affairs, award: CIN 13-412
Language: English
Date published: 2018
Academic Unit: Epidemiology; Internal Medicine
Record Identifier: 9983779491202771

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