<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dewan M</submitter><funding>NICHD NIH HHS</funding><pagination>218-225</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7096320</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(2)</volume><pubmed_abstract>&lt;h4>Background&lt;/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).&lt;h4>Objective&lt;/h4>This study aimed to improve identification of PICU patients with sepsis through an automated EHR-based CDS intervention.&lt;h4>Methods&lt;/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</pubmed_abstract><journal>Applied clinical informatics</journal><pubmed_title>Design, Implementation, and Validation of a Pediatric ICU Sepsis Prediction Tool as Clinical Decision Support.</pubmed_title><pmcid>PMC7096320</pmcid><funding_grant_id>L40 HD085270</funding_grant_id><pubmed_authors>Zackoff M</pubmed_authors><pubmed_authors>Paff Z</pubmed_authors><pubmed_authors>Hagedorn P</pubmed_authors><pubmed_authors>Vidrine R</pubmed_authors><pubmed_authors>Stalets EL</pubmed_authors><pubmed_authors>Dewan M</pubmed_authors><pubmed_authors>Seger B</pubmed_authors><pubmed_authors>Pfeiffer S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Design, Implementation, and Validation of a Pediatric ICU Sepsis Prediction Tool as Clinical Decision Support.</name><description>&lt;h4>Background&lt;/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).&lt;h4>Objective&lt;/h4>This study aimed to improve identification of PICU patients with sepsis through an automated EHR-based CDS intervention.&lt;h4>Methods&lt;/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</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Mar</publication><modification>2025-04-19T16:17:27.368Z</modification><creation>2025-04-19T16:17:27.368Z</creation></dates><accession>S-EPMC7096320</accession><cross_references><pubmed>32215893</pubmed><doi>10.1055/s-0040-1705107</doi></cross_references></HashMap>