{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Dewan M"],"funding":["NICHD NIH HHS"],"pagination":["218-225"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7096320"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["11(2)"],"pubmed_abstract":["<h4>Background</h4>Sepsis is an uncontrolled inflammatory reaction caused by infection. Clinicians in the pediatric intensive care unit (PICU) developed a paper-based tool to identify patients at risk of sepsis. To improve the utilization of the tool, the PICU team integrated the paper-based tool as a real-time clinical decision support (CDS) intervention in the electronic health record (EHR).<h4>Objective</h4>This study aimed to improve identification of PICU patients with sepsis through an automated EHR-based CDS intervention.<h4>Methods</h4>A prospective cohort study of all patients admitted to the PICU from May 2017 to May 2019. A CDS intervention was implemented in May 2018. The CDS intervention screened patients for nonspecific sepsis criteria, temperature dysregulation and a blood c"],"journal":["Applied clinical informatics"],"pubmed_title":["Design, Implementation, and Validation of a Pediatric ICU Sepsis Prediction Tool as Clinical Decision Support."],"pmcid":["PMC7096320"],"funding_grant_id":["L40 HD085270"],"pubmed_authors":["Zackoff M","Paff Z","Hagedorn P","Vidrine R","Stalets EL","Dewan M","Seger B","Pfeiffer S"],"additional_accession":[]},"is_claimable":false,"name":"Design, Implementation, and Validation of a Pediatric ICU Sepsis Prediction Tool as Clinical Decision Support.","description":"<h4>Background</h4>Sepsis is an uncontrolled inflammatory reaction caused by infection. Clinicians in the pediatric intensive care unit (PICU) developed a paper-based tool to identify patients at risk of sepsis. To improve the utilization of the tool, the PICU team integrated the paper-based tool as a real-time clinical decision support (CDS) intervention in the electronic health record (EHR).<h4>Objective</h4>This study aimed to improve identification of PICU patients with sepsis through an automated EHR-based CDS intervention.<h4>Methods</h4>A prospective cohort study of all patients admitted to the PICU from May 2017 to May 2019. A CDS intervention was implemented in May 2018. The CDS intervention screened patients for nonspecific sepsis criteria, temperature dysregulation and a blood c","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Mar","modification":"2025-04-19T16:17:27.368Z","creation":"2025-04-19T16:17:27.368Z"},"accession":"S-EPMC7096320","cross_references":{"pubmed":["32215893"],"doi":["10.1055/s-0040-1705107"]}}