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

Ganapathy, Nagarajan (2023) 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. PLoS ONE, 18 (3). e0283010. ISSN 1932-6203

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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.

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IITH Creators:

IITH Creators	ORCiD
Ganapathy, Nagarajan	http://www.orcid.org/0000-0002-3743-5388

Item Type:

Article

Uncontrolled Keywords:

algorithm; article; deterioration; human; Joanna Briggs Institute critical appraisal checklist; Medline; patient triage; Scopus; systematic review; Web of Science; algorithm; emergency health service; factual database; time factor; Algorithms; Clinical Deterioration; Databases, Factual; Humans; Time Factors; Triage

Subjects:

Biomedical Engineering
Biomedical Engineering > Biosensors

Divisions:

Department of Biomedical Engineering

Depositing User:

Mr Nigam Prasad Bisoyi

Date Deposited:

22 Aug 2023 10:33

Last Modified:

22 Aug 2023 10:33

URI:

http://raiithold.iith.ac.in/id/eprint/11610