Development of a machine learning-based acuity score prediction model for virtual care settings
Justin N. Hall,
Ron Galaev,
Marina Gavrilov
et al.
Abstract:Objective
Healthcare is increasingly digitized, yet remote and automated machine learning (ML) triage prediction systems for virtual urgent care use remain limited. The Canadian Triage and Acuity Scale (CTAS) is the gold standard triage tool for in-person care in Canada. The current work describes the development of a ML-based acuity score modelled after the CTAS system.
Methods
The ML-based acuity score model was developed using 2,460,109 de-ident… Show more
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