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

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 defnitions used. Yet, the advantages of highly standardized surveillance may come at the price of decreased clinical relevance and limited preventability. Te 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.