Automated methods for surveillance of surgical site infections.

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Platt, R. ; Yokoe, D. S. ; Sands, K. E.
• Description:
  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.
• Subjects:
  Automation Databases, Factual Humans Inpatients Patient Discharge Population Surveillance Surgical Wound Infection
• Source:
  Emerg Infect Dis. 7(2):212-216.
• Document Type:
  Journal Article
• Volume:
  7
• Issue:
  2
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:6b90b624065c36d5be66457b4dc722d1f1f872374f6a67a7d8f0c510a16ba21c
• Download URL:
  https://stacks.cdc.gov/view/cdc/15089/cdc_15089_DS1.pdf
• File Type:
  [PDF - 57.90 KB ]