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Steps in Outbreak Investigation01:18

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Predicting Sepsis Risk Using the "Sniffer" Algorithm in the Electronic Medical Record.

Evelyn M Olenick1, Kathie S Zimbro, Gabrielle M DʼLima

  • 1Sentara CarePlex Hospital, Hampton, Virginia (Dr Olenick); Phoebe Putney Memorial Hospital, Albany, Georgia (Dr Olenick); Quality Research Institute, Clinical & Business Intelligence, Sentara Healthcare, Virginia Beach, Virginia (Dr Zimbro); and Sentara Healthcare, Virginia Beach, Virginia (Dr D'Lima and Mss Ver Schneider and Jones).

Journal of Nursing Care Quality
|June 9, 2016
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Summary

The Sepsis "Sniffer" Algorithm (SSA) shows promise as a digital sepsis alert. It should supplement, not replace, the Nurse Screening Tool (NST), improving sepsis detection time and saving nurse hours.

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Area of Science:

  • Medical Informatics
  • Clinical Decision Support
  • Sepsis Management

Background:

  • Sepsis detection is critical for patient outcomes.
  • Current screening methods like the Nurse Screening Tool (NST) can be time-consuming.
  • Digital tools are being explored to improve sepsis alert systems.

Purpose of the Study:

  • To evaluate the Sepsis
  • Sniffer
  • Algorithm (SSA) as a digital sepsis alert.
  • To compare the SSA's performance against the Nurse Screening Tool (NST).

Main Methods:

  • Prospective evaluation of the SSA's performance.
  • Comparison of SSA with NST for sepsis detection.
  • Analysis of time to detection and resource utilization.

Main Results:

  • The SSA demonstrated merit as a digital sepsis alert.
  • It reduced the time to detect high-risk sepsis by 50%.
  • The SSA decreased redundant NST screens by 70% and manual screening hours by 64-72%.

Conclusions:

  • The SSA is a valuable adjunct to, not a replacement for, the NST.
  • Its implementation can optimize nurse workload and patient care.
  • Further integration of digital tools in sepsis management is warranted.