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Cited by 581

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Healthcare Epidemiology: The Surgical Infection Prevention and Surgical Care Improvement Projects: National Initiatives to Improve Outcomes for Patients Having Surgery

Bratzler, Dale W., Hunt, David R.·2006·Clinical Infectious Diseases

Abstract

Among the most common complications that occur after surgery are surgical site infections and postoperative sepsis, cardiovascular complications, respiratory complications (including postoperative pneumonia), and thromboembolic complications. Patients who experience postoperative complications have dramatically increased hospital length of stay, hospital costs, and mortality rates. The Centers for Medicare & Medicaid Services, in collaboration with the Centers for Disease Control and Prevention, has implemented the Surgical Infection Prevention Project to decrease the morbidity and mortality associated with postoperative surgical site infections. More recently, the Surgical Care Improvement Project, a national quality partnership of organizations committed to improving the safety of surgical care, has been announced. This review will provide an update from the Surgical Infection Prevention Project and provide an introduction to the Surgical Care Improvement Project.

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Metadata

Authors
Bratzler, D. W., & Hunt, D. R.
Venue
Clinical Infectious Diseases
Published
2006-08
Volume
43
Issue
3
Pages
322-330
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2130945648
Cited by
581
References
0
FWCI
22.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Healthcare Epidemiology: The Surgical Infection Prevention and Surgical Care Improvement Projects: National Initiatives to Improve Outcomes for Patients Having Surgery. https://app.cochat.ai/papers/10.1086/505220
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Bratzler, D. W., & Hunt, D. R. (2006). Healthcare Epidemiology: The Surgical Infection Prevention and Surgical Care Improvement Projects: National Initiatives to Improve Outcomes for Patients Having Surgery. Clinical Infectious Diseases. https://doi.org/10.1086/505220

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.