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

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). This study will be conducted using PubMed, Scopus, and Web of Science databases...

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Bibliographic Details
Published in:PloS one 2023-03, Vol.18 (3), p.e0283010-e0283010
Main Authors: Rostam Niakan Kalhori, Sharareh, Deserno, Thomas M, Haghi, Mostafa, Ganapathy, Nagarajan
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Automation
Clinical Deterioration
Computer and Information Sciences
Connectivity
Data analysis
Databases, Factual
Deep learning
Early warning systems
Electronic health records
Emergency communications systems
Emergency medical care
Engineering and Technology
Health aspects
Heart failure
Humans
Internet of Things
Machine learning
Management
Medicine and Health Sciences
Online databases
Patients
Physical Sciences
Physiology
Research and Analysis Methods
Reviews
Services
Study Protocol
Systematic review
Systematic Reviews as Topic
Technology
Time Factors
Triage
Triage (Medicine)
Vital signs
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Description
Summary: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). 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. 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. Systematic review registration: PROSPERO CRD42022334988.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0283010