{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["25(3)"],"submitter":["Soares J"],"pubmed_abstract":["<h4>Background</h4>Effectively identifying deteriorated patients is vital to the development and validation of automated systems designed to predict clinical deterioration. Existing outcome measures used for this purpose have significant limitations. Published criteria for admission to high acuity inpatient areas may represent markers of patient deterioration and could inform the development of alternate outcome measures.<h4>Objectives</h4>In this scoping review, we aimed to characterise published criteria for admission of adult inpatients to high acuity inpatient areas including intensive care units. A secondary aim was to identify variables that are extractable from electronic health records (EHRs).<h4>Data sources</h4>Electronic databases <i>PubMed</i> and <i>ProQuest EBook Central</i> "],"journal":["Journal of the Intensive Care Society"],"pagination":["296-307"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11366187"],"repository":["biostudies-literature"],"pubmed_title":["Intensive care unit admission criteria: a scoping review."],"pmcid":["PMC11366187"],"pubmed_authors":["Malycha J","Soares J","Campbell V","Van Der Vegt A","Leung C","Andersen C"],"additional_accession":[]},"is_claimable":false,"name":"Intensive care unit admission criteria: a scoping review.","description":"<h4>Background</h4>Effectively identifying deteriorated patients is vital to the development and validation of automated systems designed to predict clinical deterioration. Existing outcome measures used for this purpose have significant limitations. Published criteria for admission to high acuity inpatient areas may represent markers of patient deterioration and could inform the development of alternate outcome measures.<h4>Objectives</h4>In this scoping review, we aimed to characterise published criteria for admission of adult inpatients to high acuity inpatient areas including intensive care units. A secondary aim was to identify variables that are extractable from electronic health records (EHRs).<h4>Data sources</h4>Electronic databases <i>PubMed</i> and <i>ProQuest EBook Central</i> ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Aug","modification":"2025-04-05T12:29:51.624Z","creation":"2025-04-05T12:29:51.624Z"},"accession":"S-EPMC11366187","cross_references":{"pubmed":["39224425"],"doi":["10.1177/17511437241246901"]}}