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A protocol for a systematic review of electronic early warning/track-and-trigger systems (EW/TTS) to predict clinical deterioration: Focus on automated features, technologies, and algorithms

  • 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.

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Author:Sharareh Rostam Niakan KalhoriORCiD, Thomas M. Deserno, Mostafa HaghiORCiD, Nagarajan Ganapathy
Parent Title (English):PLoS One
Publisher:Public Library of Science (PLoS)
Place of publication:San Francisco, California
Document Type:Article
Year of Publication:2023
Release Date:2023/03/21
Tag:Track and triage system; Electronic early warning; EW/TTS
Page Number:11
Institutes:Institut für Angewandte Forschung - IAF
Open Access?:Ja
Relevance:Peer reviewed Publikation in Master Journal List
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International