Research Topics
| K E SandsSummaryAffiliation: Harvard University Country: USA Publications
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Detail Information
Publications
Epidemiology of sepsis syndrome in 8 academic medical centersK E Sands
Channing Laboratory, Department of Medicine, Brigham and Women s Hospital and Harvard Medical School, Boston, Mass, USA
JAMA 278:234-40. 1997..Sepsis syndrome is a leading cause of mortality in hospitalized patients. However, few studies have described the epidemiology of sepsis syndrome in a hospitalwide population...
Efficient identification of postdischarge surgical site infections: use of automated pharmacy dispensing information, administrative data, and medical record informationK Sands
Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
J Infect Dis 179:434-41. 1999..Thus, information routinely collected by health care systems can be the basis of an efficient, largely passive, surveillance system for postdischarge SSIs...
Epidemiology of and surveillance for postpartum infectionsD S Yokoe
Channing Laboratory, Brigham and Women s Hospital, and Harvard Medical School, Boston, MA, USA
Emerg Infect Dis 7:837-41. 2001..Use of automated information routinely collected by HMOs and insurers allows efficient identification of postpartum infections not detected by conventional surveillance...
Occurrence of nosocomial bloodstream infections in six neonatal intensive care unitsS B Brodie
Division of Infectious Disease, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
Pediatr Infect Dis J 19:56-65. 2000..Nosocomial bloodstream infections (NBSIs) occur frequently in neonatal intensive care units (NICUs) and are associated with substantial morbidity and mortality. Little has been published regarding variation in NBSI among institutions...
Automated methods for surveillance of surgical site infectionsR Platt
Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts, USA
Emerg Infect Dis 7:212-6. 2001..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...
