Detection of Deteriorating Patients on Surgical Wards Outside the ICU by an Automated MEWS-Based Early Warning System With Paging Functionality.

Annals of Surgery
Axel R HellerJürgen Weitz

Abstract

The 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 reaching predefined trigger criteria, Medical Emergency Teams (MET) should be notified and directed to these patients. The present study analyses the effect of introducing an automated multiparameter early warning score (MEWS)-based early warning system with paging functionality on 2 wards hosting patients recovering from highly complex surgical interventions. The deployment of the system was accompanied by retrospective data acquisition during 12 months (intervention) using 4 routine databases: Hospital patient data management, anesthesia database, local data of the German Resuscitation Registry, and measurement logs of the deployed system (intervention period only). A retrospective 12-month data review using the same aforementioned databases before the deployment of the system served as control. Control and intervention phases were separated by a 6-month washout period for the installation of the system and for training. Data from 3827 patients could be acquired from 2 surgical wards during the two 12-month periods, 1896 patients in the control and ...Continue Reading

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Sep 28, 2018·Intensive Care Medicine·Frederic MichardAndreas Taenzer
Nov 24, 2019·Der Anaesthesist·B PreckelM W Hollmann
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Dec 16, 2021·Journal of Comparative Effectiveness Research·Belinda A MohrGoran Medic

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