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Predicting hospital-onset Clostridium difficile using patient mobility data: A network approach.

Kristen BushHugo Barbosa-FilhoSamir FarooqSamuel J WeisenthalMelissa TrayhanRobert J WhiteEkaterina I NoyesGourab GhoshalMartin S Zand
Published in: Infection control and hospital epidemiology (2019)
Quantifying and visualizing the combination of inpatient transfers, unit-wide risk, and current infections help identify hospital units at risk of developing a CDI outbreak and, thus, provide clinicians and infection prevention staff with advanced warning and specific location data to inform prevention efforts.
Keyphrases
  • clostridium difficile
  • acute care
  • electronic health record
  • healthcare
  • palliative care
  • big data
  • adverse drug
  • mental health
  • case report
  • emergency department
  • quality improvement
  • machine learning
  • single molecule