TY - JOUR AU - Platt, Richard AU - Yokoe, Deborah S. AU - Sands, Kenneth E. T1 - Automated Methods for Surveillance of Surgical Site Infections T2 - Emerging Infectious Disease journal PY - 2001 VL - 7 IS - 2 SP - 212 SN - 1080-6059 AB - 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. KW - United States DO - 10.3201/eid0702.700212 UR - https://wwwnc.cdc.gov/eid/article/7/2/70-0212_article ER - End of Reference