Implementation and Evaluations of Sepsis Watch

Completed · Not applicable

Conditions studied: Sepsis, Severe Sepsis, Septic Shock

In brief

The purpose of this study is to study the implementation and impact of an early warning system to detect and treat sepsis in the emergency room. We are observing the implementation of a Sepsis Machine Learning Model on all Adult patients. All data (observations field notes, interview recording \& transcripts, and survey responses) will be stored on HIPAA-compliant Duke servers behind the Duke firewall, and requiring password-protected user authentication to access. The risk to patients is minimal. The two risks to interviewed clinical staff we have identified involve loss of work time and anonymity.

Key facts

Study ID

NCT03655626

Run by

Duke University

People needed

32003

Starts

2018-11-05

Expected to finish

2019-07-05

Last updated by the study team

2019-08-01

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Arrival to Duke University Hospital emergency department pods A, B, and C, or resuscitation bay

You may not qualify if…

• Under 18 years old at time of emergency department arrival

Where it is running

• Duke University Hospital — Durham, North Carolina, United States

Full record on ClinicalTrials.gov

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