This paper is in the following e-collection/theme issue:

Bioinformatics, genomics, tools and databases (20) Clinical Information and Decision Making (1486) Decision Support for Health Professionals (1244)

Published on in Vol 3, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38845, first published .
Reducing Crowding in Emergency Departments With Early Prediction of Hospital Admission of Adult Patients Using Biomarkers Collected at Triage: Retrospective Cohort Study

Reducing Crowding in Emergency Departments With Early Prediction of Hospital Admission of Adult Patients Using Biomarkers Collected at Triage: Retrospective Cohort Study

Reducing Crowding in Emergency Departments With Early Prediction of Hospital Admission of Adult Patients Using Biomarkers Collected at Triage: Retrospective Cohort Study

Authors of this article:

Ann Corneille Monahan1 Author Orcid Image ;   Sue S Feldman2 Author Orcid Image ;   Tony P Fitzgerald3, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Monahan A, Feldman S. The Utility of Predictive Modeling and a Systems Process Approach to Reduce Emergency Department Crowding: A Position Paper. Interactive Journal of Medical Research 2023;12:e42016 View
  2. Williams E, Huynh D, Estai M, Sinha T, Summerscales M, Kanagasingam Y. Predicting Inpatient Admissions From Emergency Department Triage Using Machine Learning: A Systematic Review. Mayo Clinic Proceedings: Digital Health 2025:100197 View