{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Rente MJB"],"funding":["Foundation for Science and Technology"],"pagination":["7245"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12565041"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(20)"],"pubmed_abstract":["<b>Background/Objective</b>: The growing volume and complexity of cases presented to emergency departments underline the urgent need for effective clinical-risk-management strategies. Increasing demands for quality and safety in healthcare highlight the importance of predictive tools in supporting timely and informed clinical decision-making. This study aims to evaluate the performance and usefulness of predictive models for managing the clinical risk of people who visit the emergency department. <b>Methods</b>: A systematic review was conducted, including primary observational studies involving people aged 18 and over, who were not pregnant, and who had visited the emergency department; the intervention was clinical-risk management in emergency departments; the comparison was of early war"],"journal":["Journal of clinical medicine"],"pubmed_title":["Predictive Model for Managing the Clinical Risk of Emergency Department Patients: A Systematic Review."],"pmcid":["PMC12565041"],"funding_grant_id":["UID/04923 - Comprehensive Health Research Centre"],"pubmed_authors":["Rente MJB","Joao ALDS","Mota LAND"],"additional_accession":[]},"is_claimable":false,"name":"Predictive Model for Managing the Clinical Risk of Emergency Department Patients: A Systematic Review.","description":"<b>Background/Objective</b>: The growing volume and complexity of cases presented to emergency departments underline the urgent need for effective clinical-risk-management strategies. Increasing demands for quality and safety in healthcare highlight the importance of predictive tools in supporting timely and informed clinical decision-making. This study aims to evaluate the performance and usefulness of predictive models for managing the clinical risk of people who visit the emergency department. <b>Methods</b>: A systematic review was conducted, including primary observational studies involving people aged 18 and over, who were not pregnant, and who had visited the emergency department; the intervention was clinical-risk management in emergency departments; the comparison was of early war","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Oct","modification":"2026-05-14T03:21:18.862Z","creation":"2026-05-14T03:12:48.503Z"},"accession":"S-EPMC12565041","cross_references":{"pubmed":["41156117"],"doi":["10.3390/jcm14207245"]}}