PLoS ONE (Jan 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.

  • Sharareh Rostam Niakan Kalhori,
  • Thomas M Deserno,
  • Mostafa Haghi,
  • Nagarajan Ganapathy

DOI
https://doi.org/10.1371/journal.pone.0283010
Journal volume & issue
Vol. 18, no. 3
p. e0283010

Abstract

Read online

BackgroundThis 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).MethodologyThis 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.DiscussionThis 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 registrationSystematic review registration: PROSPERO CRD42022334988.