Abstract
Background
This is a systematic review protocol to identify automated features, applied technologies, and algorithms in the electronic early warning/track and triage system (EW/TTS) developed to predict clinical deterioration (CD).
Methodology
This study will be conducted using PubMed, Scopus, and Web of Science databases to evaluate the features of EW/TTS in terms of their automated features, technologies, and algorithms. To this end, we will include any English articles reporting an EW/TTS without time limitation. Retrieved records will be independently screened by two authors and relevant data will be extracted from studies and abstracted for further analysis. The included articles will be evaluated independently using the JBI critical appraisal checklist by two researchers.
Discussion
This study is an effort to address the available automated features in the electronic version of the EW/TTS to shed light on the applied technologies, automated level of systems, and utilized algorithms in order to smooth the road toward the fully automated EW/TTS as one of the potential solutions of prevention CD and its adverse consequences.
Trial registration
Systematic review registration: PROSPERO CRD42022334988.
Funder
Alexander von Humboldt-Stiftung
Publisher
Public Library of Science (PLoS)
Reference33 articles.
1. Clinical deterioration: A concept analysis;RM Padilla;J Clin Nurs,2018
2. Defining clinical deterioration;D Jones;Resuscitation,2013
3. An early warning scoring system for detecting developing critical illness;R Morgan;Clin Intensive Care,1997
4. Use of the Modified Early Warning Score decreases code blue events;JM Maupin;Joint Commission Journal on Quality and Patient Safety,2009
5. Systematic review and evaluation of physiological track and trigger warning systems for identifying at-risk patients on the ward;H Gao;Intensive care medicine,2007
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