title: Automated methods for surveillance of surgical site infections.
abstract: Automated data, especially from pharmacy and administrative claims, are available for much of the U.S. population and might substantially improve both inpatient and postdischarge surveillance for surgical site infections complicating selected procedures, while reducing the resources required. Potential improvements include better sensitivity, less susceptibility to interobserver variation, more uniform availability of data, more precise estimates of infection rates, and better adjustment for patients' coexisting illness.
authors: Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts, USA. richard.platt@channing.harvard.edu
authors: R
authors: R
authors: Platt
authors: D S
authors: DS
authors: Yokoe
authors: K E
authors: KE
authors: Sands
mesh_terms: D001331:Automation; D016208:Databases, Factual; D006801:Humans; D007297:Inpatients; D010351:Patient Discharge / Q000706:statistics & numerical data; D011159:Population Surveillance / Q000379:methods*; D013530:Surgical Wound Infection / Q000517:prevention & control*