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Automated Early Warning Scoring on Surgical Normal Wards

Completed
Conditions
Safety Issues
Emergencies
Registration Number
NCT03461133
Lead Sponsor
University Hospital Carl Gustav Carus
Brief Summary

Establishment of early warning systems in hospitals was strongly recommended in recent guidelines to detect deteriorating patients early and direct them to adequate care. Upon meeting of predefined trigger criteria Medical Emergency Teams (MET) should be directed to these patients. The present study analyses the effect of introduction of an automated early warning and trigger system on two peripheral wards hosting a highly complex surgical patient cohort.

Detailed Description

The deployment of an electronic monitoring and notification system is accompanied by data acquisition over 12 months (intervention) using four routine databases: Hospital patient data management, anesthesia database, local data of the German Resuscitation Registry, and measurement logs of the automated patient monitoring and alert system (intervention period only). A preceding time period of 12 months served as control.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
3827
Inclusion Criteria
  • Admission to one of the participating wards
Exclusion Criteria
  • none

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
In hospital cardiac arrestson average 14 days per patient, cumulative over 12 months in each observed cohort

Patient cardiac arrests during stay

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

University Hospital Dresden

🇩🇪

Dresden, Germany

University Hospital Dresden
🇩🇪Dresden, Germany

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