Study of an Electronic Health Record-embedded Severe Sepsis Early Warning Alert
Completed · Not applicable
Conditions studied: Severe Sepsis
In brief
The investigators hypothesize that implementing an electronic health record-based early warning system for severe infections (severe sepsis) will decrease the time to antibiotic order. The study will consist of an algorithm which will monitor lab values, vital signs, and nursing documentation for signs of severe sepsis. When these criteria are met, an alert will be delivered via the electronic health record to a nurse and doctor and simultaneously an alert via pager to another nurse. The investigators plan to randomize which patients will generate these alerts and analyze the data after collecting information for approximately 6 months which will be sufficient to detect a 10% difference in the two patient groups.
Key facts
- Study ID
- NCT02376842
- Run by
- Stanford University
- People needed
- 1149
- Starts
- 2014-11-01
- Expected to finish
- 2015-03-01
- Last updated by the study team
- 2015-11-17
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Admitted to Stanford Hospital (inpatient or observation status) to any medical or surgical service for at least 24 hours during the period of the study
You may not qualify if…
- Admitted to an intensive-care level service (MICU, SICU, CVICU, CCU)
- Patient code status is DNR/C (comfort care only)
- Patients less than 18 years of age at time of admission.
- Emergency Department patients (may be included in the near future)
Where it is running
- Stanford Hospital — Stanford, California, United States
Full record on ClinicalTrials.gov
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