Leveraging Clinical Informatics and Data Science to Improve Care and Facilitate Research in Pediatric Acute Respiratory Distress Syndrome: From the Second Pediatric Acute Lung Injury Consensus Conference

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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.authorSANCHEZ-PINTO, L. Nelson
dc.contributor.authorSAUTHIER, Michael
dc.contributor.authorRAJAPREYAR, Prakadeshwari
dc.contributor.authorCARVALHO, Werther Brunow de
dc.contributor.authorJOUVET, Philippe
dc.contributor.authorNEWTH, Christopher
dc.contributor.groupauthorPediat Acute Lung Injury Sepsis In
dc.date.accessioned2023-08-16T18:01:53Z
dc.date.available2023-08-16T18:01:53Z
dc.date.issued2023
dc.description.abstractOBJECTIVES: The use of electronic algorithms, clinical decision support systems, and other clinical informatics interventions is increasing in critical care. Pediatric acute respiratory distress syndrome (PARDS) is a complex, dynamic condition associated with large amounts of clinical data and frequent decisions at the bedside. Novel data-driven technologies that can help screen, prompt, and support clinician decision-making could have a significant impact on patient outcomes. We sought to identify and summarize relevant evidence related to clinical informatics interventions in both PARDS and adult respiratory distress syndrome (ARDS), for the second Pediatric Acute Lung Injury Consensus Conference. DATA SOURCES: MEDLINE (Ovid), Embase (Elsevier), and CINAHL Complete (EBSCOhost). STUDY SELECTION: We included studies of pediatric or adult critically ill patients with or at risk of ARDS that examined automated screening tools, electronic algorithms, or clinical decision support systems. DATA EXTRACTION: Title/abstract review, full text review, and data extraction using a standardized data extraction form. DATA SYNTHESIS: The Grading of Recommendations Assessment, Development and Evaluation approach was used to identify and summarize evidence and develop recommendations. Twenty-six studies were identified for full text extraction to address the Patient/Intervention/Comparator/Outcome questions, and 14 were used for the recommendations/statements. Two clinical recommendations were generated, related to the use of electronic screening tools and automated monitoring of compliance with best practice guidelines. Two research statements were generated, related to the development of multicenter data collaborations and the design of generalizable algorithms and electronic tools. One policy statement was generated, related to the provision of material and human resources by healthcare organizations to empower clinicians to develop clinical informatics interventions to improve the care of patients with PARDS. CONCLUSIONS: We present two clinical recommendations and three statements (two research one policy) for the use of electronic algorithms and clinical informatics tools for patients with PARDS based on a systematic review of the literature and expert consensus.eng
dc.description.indexMEDLINE
dc.description.indexPubMed
dc.description.indexWoS
dc.description.indexScopus
dc.identifier.citationPEDIATRIC CRITICAL CARE MEDICINE, v.24, n.2, suppl.1, p.S1-S11, 2023
dc.identifier.doi10.1097/PCC.0000000000003155
dc.identifier.eissn1947-3893
dc.identifier.issn1529-7535
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/54754
dc.language.isoeng
dc.publisherLIPPINCOTT WILLIAMS & WILKINSeng
dc.relation.ispartofPediatric Critical Care Medicine
dc.rightsrestrictedAccesseng
dc.rights.holderCopyright LIPPINCOTT WILLIAMS & WILKINSeng
dc.subjectclinical decision supporteng
dc.subjectclinical informaticseng
dc.subjectdata scienceeng
dc.subjectmachine learningeng
dc.subjectpediatric acute respiratory distress syndromeeng
dc.subject.othercomputerized decision-supporteng
dc.subject.othermechanical ventilationeng
dc.subject.otherdisparitieseng
dc.subject.othermanagementeng
dc.subject.wosCritical Care Medicineeng
dc.subject.wosPediatricseng
dc.titleLeveraging Clinical Informatics and Data Science to Improve Care and Facilitate Research in Pediatric Acute Respiratory Distress Syndrome: From the Second Pediatric Acute Lung Injury Consensus Conferenceeng
dc.typearticleeng
dc.type.categoryoriginal articleeng
dc.type.versionpublishedVersioneng
dspace.entity.typePublication
hcfmusp.affiliation.countryCanadá
hcfmusp.affiliation.countryEstados Unidos
hcfmusp.affiliation.countryisous
hcfmusp.affiliation.countryisoca
hcfmusp.author.externalSANCHEZ-PINTO, L. Nelson:Northwestern Univ, Feinberg Sch Med, Dept Pediat Crit Care, Chicago, IL 60611 USA; Northwestern Univ, Feinberg Sch Med, Dept Prevent Med Hlth & Biomed Informat, Chicago, IL 60611 USA; Ann & Robert H Lurie Childrens Hosp Chicago, Chicago, IL 60611 USA
hcfmusp.author.externalSAUTHIER, Michael:Univ Montreal, Dept Pediat, Montreal, PQ, Canada; CHU Sainte Justine, Montreal, PQ, Canada
hcfmusp.author.externalRAJAPREYAR, Prakadeshwari:Med Coll Wisconsin, Dept Pediat, Childrens Wisconsin, Milwaukee, WI USA
hcfmusp.author.externalJOUVET, Philippe:Univ Montreal, Dept Pediat, Montreal, PQ, Canada; CHU Sainte Justine, Montreal, PQ, Canada
hcfmusp.author.externalNEWTH, Christopher:Univ Southern Calif, Keck Sch Med, Dept Pediat, Los Angeles, CA USA; Childrens Hosp Los Angeles, Dept Anesthesiol & Crit Care Med, Los Angeles, CA USA
hcfmusp.citation.scopus5
hcfmusp.contributor.author-fmusphcWERTHER BRUNOW DE CARVALHO
hcfmusp.description.beginpageS1
hcfmusp.description.endpageS11
hcfmusp.description.issue2
hcfmusp.description.issuesuppl 1
hcfmusp.description.volume24
hcfmusp.origemWOS
hcfmusp.origem.pubmed36661432
hcfmusp.origem.scopus2-s2.0-85146841941
hcfmusp.origem.wosWOS:001007550700001
hcfmusp.publisher.cityPHILADELPHIAeng
hcfmusp.publisher.countryUSAeng
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