title: Electronic surveillance and using administrative data to identify healthcare associated infections.
abstract: Traditional surveillance of healthcare associated infections (HCAI) is time consuming and error-prone. We have analysed literature of the past year to look at new developments in this field. It is divided into three parts: new algorithms for electronic surveillance, the use of administrative data for surveillance of HCAI, and the definition of new endpoints of surveillance, in accordance with an automatic surveillance approach.
  
  
  
  Most studies investigating electronic surveillance of HCAI have concentrated on bloodstream infection or surgical site infection. However, the lack of important parameters in hospital databases can lead to misleading results. The accuracy of administrative coding data was poor at identifying HCAI. New endpoints should be defined for automatic detection, with the most crucial step being to win clinicians' acceptance.
  
  
  
  Electronic surveillance with conventional endpoints is a successful method when hospital information systems implemented key changes and enhancements. One requirement is the access to systems for hospital administration and clinical databases.Although the primary source of data for HCAI surveillance is not administrative coding data, these are important components of a hospital-wide programme of automated surveillance. The implementation of new endpoints for surveillance is an approach which needs to be discussed further.
authors.affiliation: Institute of Hygiene and Environmental Medicine, Charité-University Medicine Berlin, Berlin, Germany.
authors.forename: Petra
authors.initials: P
authors.lastname: Gastmeier
authors.forename: Michael
authors.initials: M
authors.lastname: Behnke
mesh_terms: D000465:Algorithms; D016470:Bacteremia / Q000175:diagnosis; D003428:Cross Infection / Q000175:diagnosis*; D016208:Databases, Factual; D006751:Hospital Information Systems; D006801:Humans; D011159:Population Surveillance / Q000379:methods*; D013530:Surgical Wound Infection / Q000175:diagnosis