Detecting serious infections early in the Emergency Department using data analytics

Not Applicable

• Conditions: Sepsis; Emergency medicine - Other emergency care; Infection - Studies of infection and infectious agents

• Registration Number: ACTRN12622000197730
• Lead Sponsor: Sir Charles Gairdner Hospital

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Results First Posted: 1900-01-01
• Study Start: 2022-02-04
• Last Update Posted: 21 February 2022

Recruitment & Eligibility

• Status: ot yet recruiting
• Sex: All
• Target Recruitment: 5000

Inclusion Criteria

All patients who present to Sir Charles Gairdner Hospital Emergency Department from July 2016- June 2021 will be included for review

Exclusion Criteria

None

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
The proportion of patient with an admission diagnosis of sepsis (Hospital admission diagnosis coding at time of hospital discharge), compared to emergency department presentation diagnosis. [At time of hospital discharge, an admission diagnosis of sepsis]

Secondary Outcome Measures

Name	Time	Method
Admission to intensive care using hospital admission dataset.[During index hospital admission];Diagnosis of sepsis at time of emergency department presentation using Emergency Department Information System.[At emergency department presentation];Rapid response team activation during hospital admission, using linkage to medical recrods.[During hospital admission]