Natural Language Processing to Identify Infants Aged 90 Days and Younger With Fevers Prior to Presentation.
Aronson P, Kuppermann N, Mahajan P, Nielsen B, Olsen C, Meeks H, Grundmeier R. Natural Language Processing to Identify Infants Aged 90 Days and Younger With Fevers Prior to Presentation. Hospital Pediatrics 2024 PMID: 39679596, DOI: 10.1542/hpeds.2024-008051.Peer-Reviewed Original ResearchElectronic health recordsEmergency departmentNatural language processing algorithmsElectronic health record dataPediatric Emergency Care Applied Research Network RegistryFebrile infantsNatural language processingCross-sectional studyTrauma-related diagnosesPositive predictive valueHealth recordsHealth systemDocumented feverClinical notesPre-EDNetwork registryCohort identificationVisitsLanguage processingNLP algorithmsPredictive valueInfantsFeverResearch studiesDisposition and Follow-up for Low-Risk Febrile Infants: A Secondary Analysis of a Multicenter Study.
Kannikeswaran N, Spencer P, Tedford N, Truschel L, Chu J, Dingeldein L, Waseem M, Chow J, Lababidi A, Theiler C, Bhalodkar S, Yan X, Lou X, Fernandez R, Aronson P, Lion K, Gutman C. Disposition and Follow-up for Low-Risk Febrile Infants: A Secondary Analysis of a Multicenter Study. Hospital Pediatrics 2024, 14: e379-e384. PMID: 39113626, PMCID: PMC11358591, DOI: 10.1542/hpeds.2024-007850.Peer-Reviewed Original ResearchConceptsFebrile infantsFollow-upPrimary care providersElectronic health record documentationElectronic health recordsDischarged infantsEmergency departmentED dispositionLow riskAmerican Academy of Pediatrics guidelinesInvasive bacterial infectionsSecondary analysisCross-sectional studyMulticenter studyPost-discharge follow-upPediatric guidelinesWeekday visitsBacterial infectionsInfantsQuality of careAmerican AcademyMulticenterCare planningCare providersPatient-centered