Algorithmic Triage Systems
Algorithmic Triage Systems is a computational framework that systematically prioritizes incoming healthcare requests by applying predefined clinical rules or machine learning models to assess urgency, distinguishing it from manual or human-based triage approaches through automated decision logic.
28
Publications
1.2K
Citations
203
Authors
80
Institutions
Publications per year
2017–2026
17
Parents
28
Scott Levin, Matthew Toerper, Eric Hamrock et al. · Annals of Emergency Medicine · 2017 · 411 citations
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort
Maithra Raghu, Katy Blumer, Greg S. Corrado et al. · arXiv (Cornell University) · 2019 · 58 citations · Full text
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Joint Base San Antonio
San Antonio, United States
4 h-index
8 publications
189 citations

Brooke Army Medical Center
San Antonio, United States
4 h-index
10 publications
182 citations

Johns Hopkins University
Baltimore, United States
2 h-index
9 publications
3K citations

Griffith University
Brisbane, Australia
2 h-index
2 publications
54 citations

The University of Queensland
Brisbane, Australia
2 h-index
3 publications
83 citations

University of Baltimore
Baltimore, United States
1 h-index
2 publications
822 citations

Logan Hospital
Logan City, Australia
1 h-index
1 publications
25 citations
Lincoln College
Lincoln, United States
1 h-index
2 publications
136 citations
1–8 of 80
5 publications · 514 citations
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JACEP · 2 publications · 33 citations
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1 publications · 12 citations
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HCMS · 1 publications · 17 citations
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IJEHMC · 1 publications · 11 citations
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