{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11(12)"],"submitter":["Trotzky D"],"pubmed_abstract":["Aim
The emergency department (ED) is the first port-of-call for most patients receiving hospital care and as such acts as a gatekeeper to the wards, directing patient flow through the hospital. ED overcrowding is a well-researched field and negatively affects patient outcome, staff well-being and hospital reputation. An accurate, real-time model capable of predicting ED overcrowding has obvious merit in a world becoming increasingly computational, although the complicated dynamics of the department have hindered international efforts to design such a model. Triage nurses' assessments have been shown to be accurate predictors of patient disposition and could, therefore, be useful input for overcrowding and patient flow models.Methods
In this study, we assess the prediction c"],"journal":["BMJ open"],"pagination":["e050026"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8663100"],"repository":["biostudies-literature"],"pubmed_title":["Real-time prediction of patient disposition and the impact of reporter confidence on mid-level triage accuracies: an observational study in Israel."],"pmcid":["PMC8663100"],"pubmed_authors":["Trotzky D","Shopen N","Negri Galam N","Cohen A","Mosery J","Katz Shalhav M","Avisar S","Mimran Y","Pachys G","Fordham DE"],"additional_accession":[]},"is_claimable":false,"name":"Real-time prediction of patient disposition and the impact of reporter confidence on mid-level triage accuracies: an observational study in Israel.","description":"Aim
The emergency department (ED) is the first port-of-call for most patients receiving hospital care and as such acts as a gatekeeper to the wards, directing patient flow through the hospital. ED overcrowding is a well-researched field and negatively affects patient outcome, staff well-being and hospital reputation. An accurate, real-time model capable of predicting ED overcrowding has obvious merit in a world becoming increasingly computational, although the complicated dynamics of the department have hindered international efforts to design such a model. Triage nurses' assessments have been shown to be accurate predictors of patient disposition and could, therefore, be useful input for overcrowding and patient flow models.Methods
In this study, we assess the prediction c","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Dec","modification":"2025-04-19T16:19:54.177Z","creation":"2024-12-03T16:41:25.768Z"},"accession":"S-EPMC8663100","cross_references":{"pubmed":["34887272"],"doi":["10.1136/bmjopen-2021-050026"]}}