Published on in Vol 9 , No 9 (2021) :September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30022, first published .
Models Predicting Hospital Admission of Adult Patients Utilizing Prehospital Data: Systematic Review Using PROBAST and CHARMS

Models Predicting Hospital Admission of Adult Patients Utilizing Prehospital Data: Systematic Review Using PROBAST and CHARMS

Models Predicting Hospital Admission of Adult Patients Utilizing Prehospital Data: Systematic Review Using PROBAST and CHARMS

Authors of this article:

Ann Corneille Monahan 1 Author Orcid Image ;   Sue S Feldman 2 Author Orcid Image

Journals

  1. Monahan A, Feldman S, Fitzgerald T. Reducing Crowding in Emergency Departments With Early Prediction of Hospital Admission of Adult Patients Using Biomarkers Collected at Triage: Retrospective Cohort Study. JMIR Bioinformatics and Biotechnology 2022;3(1):e38845 View
  2. Monahan A, Feldman S. The utility of predictive modeling and a systems process approach to reduce emergency department crowding: A position paper (Preprint). Interactive Journal of Medical Research 2022 View
  3. Kim M, Holton M, Sweeting A, Koreshe E, McGeechan K, Miskovic-Wheatley J. Using health administrative data to model associations and predict hospital admissions and length of stay for people with eating disorders. BMC Psychiatry 2023;23(1) View