Study of an Electronic Health Record-embedded Severe Sepsis Early Warning Alert

NCT02376842 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1149

Last updated 2015-11-17

No results posted yet for this study

Summary

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.

Conditions

  • Severe Sepsis

Interventions

BEHAVIORAL

Severe sepsis early warning best practice alert

BEHAVIORAL

Standard care

Sponsors & Collaborators

Study Design

Allocation
RANDOMIZED
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2014-11-30
Primary Completion
2015-03-31
Completion
2015-03-31

Countries

  • United States

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02376842 on ClinicalTrials.gov