Estimating Local Costs Associated With Clostridium difficile Infection Using Machine Learning and Electronic Medical Records.

@article{Pak2017EstimatingLC,
  title={Estimating Local Costs Associated With Clostridium difficile Infection Using Machine Learning and Electronic Medical Records.},
  author={Theodore R Pak and Kieran I Chacko and Timothy O'Donnell and Shirish S Huprikar and Harm van Bakel and Andrew Kasarskis and Erick R. Scott},
  journal={Infection control and hospital epidemiology},
  year={2017},
  volume={38 12},
  pages={
          1478-1486
        }
}
BACKGROUND Reported per-patient costs of Clostridium difficile infection (CDI) vary by 2 orders of magnitude among different hospitals, implying that infection control officers need precise, local analyses to guide rational decision making between interventions. OBJECTIVE We sought to comprehensively estimate changes in length of stay (LOS) attributable to CDI at a single urban tertiary-care facility using only data automatically extractable from the electronic medical record (EMR). METHODS We… CONTINUE READING
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