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Study of an Electronic Health Record-embedded Severe Sepsis Early Warning Alert
Not Recruiting
Trial ID: NCT02376842
Purpose
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.
Official Title
Single-blind Randomized Trial of a Commercially Sold Electronic Health Record Based Severe Sepsis Early Warning Best Practice Alert.
Stanford Investigator(s)
N. Lance Downing
Clinical Assistant Professor, Medicine - Biomedical Informatics Research
Eligibility
Inclusion Criteria:
- 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
Exclusion Criteria:
- 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)
Intervention(s):
behavioral: Severe sepsis early warning best practice alert
behavioral: Standard care
Not Recruiting
Contact Information
Stanford University
School of Medicine
300 Pasteur Drive
Stanford,
CA
94305