<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Rente MJB</submitter><funding>Foundation for Science and Technology</funding><pagination>7245</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12565041</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(20)</volume><pubmed_abstract>&lt;b>Background/Objective&lt;/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. &lt;b>Methods&lt;/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</pubmed_abstract><journal>Journal of clinical medicine</journal><pubmed_title>Predictive Model for Managing the Clinical Risk of Emergency Department Patients: A Systematic Review.</pubmed_title><pmcid>PMC12565041</pmcid><funding_grant_id>UID/04923 - Comprehensive Health Research Centre</funding_grant_id><pubmed_authors>Rente MJB</pubmed_authors><pubmed_authors>Joao ALDS</pubmed_authors><pubmed_authors>Mota LAND</pubmed_authors></additional><is_claimable>false</is_claimable><name>Predictive Model for Managing the Clinical Risk of Emergency Department Patients: A Systematic Review.</name><description>&lt;b>Background/Objective&lt;/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. &lt;b>Methods&lt;/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</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Oct</publication><modification>2026-05-14T03:21:18.862Z</modification><creation>2026-05-14T03:12:48.503Z</creation></dates><accession>S-EPMC12565041</accession><cross_references><pubmed>41156117</pubmed><doi>10.3390/jcm14207245</doi></cross_references></HashMap>