<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>21(7Supp)</volume><submitter>Zackoff M</submitter><pubmed_abstract>&lt;h4>Objectives&lt;/h4>Children receiving care in pediatric intensive care units (PICUs) are vulnerable to decompensation and diagnostic error due to the complex and dynamic nature of pediatric critical illness. In the PICU, the few clinical decision support (CDS) tools that have been implemented to support diagnostic accuracy (i.e., the ability to detect the presence of a condition) have not led to an increase in clinician adoption of desired practices nor demonstrated clear clinical benefit.&lt;h4>Methods&lt;/h4>The DISCOVER Learning Lab analyzed workflow and failure modes in diagnosing and managing clinical decompensation in the PICU, using systems safety engineering and human factors to examine intersections with established CDS. Methods employed included qualitative interviews, workflow mapping</pubmed_abstract><journal>Journal of patient safety</journal><pagination>S21-S28</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12453092</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Understanding Clinical Decision Support Failures in Pediatric Intensive Care Units via Applied Systems Safety Engineering and Human Factors Problem Analysis: Insights From the DISCOVER Learning Lab.</pubmed_title><pmcid>PMC12453092</pmcid><pubmed_authors>Zackoff M</pubmed_authors><pubmed_authors>Cifra C</pubmed_authors><pubmed_authors>Badke C</pubmed_authors><pubmed_authors>Generoso J</pubmed_authors><pubmed_authors>Dewan M</pubmed_authors><pubmed_authors>Meisman A</pubmed_authors><pubmed_authors>Butcher B</pubmed_authors><pubmed_authors>James K</pubmed_authors><pubmed_authors>Ortega K</pubmed_authors><pubmed_authors>Graciela A</pubmed_authors><pubmed_authors>Collins K</pubmed_authors><pubmed_authors>Loeb D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Understanding Clinical Decision Support Failures in Pediatric Intensive Care Units via Applied Systems Safety Engineering and Human Factors Problem Analysis: Insights From the DISCOVER Learning Lab.</name><description>&lt;h4>Objectives&lt;/h4>Children receiving care in pediatric intensive care units (PICUs) are vulnerable to decompensation and diagnostic error due to the complex and dynamic nature of pediatric critical illness. In the PICU, the few clinical decision support (CDS) tools that have been implemented to support diagnostic accuracy (i.e., the ability to detect the presence of a condition) have not led to an increase in clinician adoption of desired practices nor demonstrated clear clinical benefit.&lt;h4>Methods&lt;/h4>The DISCOVER Learning Lab analyzed workflow and failure modes in diagnosing and managing clinical decompensation in the PICU, using systems safety engineering and human factors to examine intersections with established CDS. Methods employed included qualitative interviews, workflow mapping</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Oct</publication><modification>2026-06-03T19:19:57.81Z</modification><creation>2026-05-30T03:07:03.999Z</creation></dates><accession>S-EPMC12453092</accession><cross_references><pubmed>40986491</pubmed><doi>10.1097/PTS.0000000000001358</doi></cross_references></HashMap>