2023
Natural Language Processing — A Surveillance Stepping Stone to Identify Child Abuse
Shum M, Hsiao A, Teng W, Asnes A, Amrhein J, Tiyyagura G. Natural Language Processing — A Surveillance Stepping Stone to Identify Child Abuse. Academic Pediatrics 2023, 24: 92-96. PMID: 37652162, PMCID: PMC10840716, DOI: 10.1016/j.acap.2023.08.015.Peer-Reviewed Original ResearchConceptsClinical guidelinesClinical decision support toolSignificant demographic differencesED providersProvider notesInsurance statusGeneral EDsClinical careAbuse evaluationsED typeChild protective servicesChild abuseInjuryAppropriate evaluationChild physical abuseNLP algorithmDemographic differencesPhysical abuseAdherenceDemographic variablesProtective servicesNatural language processing algorithmAbuse
2017
A Qualitative Analysis of General Emergency Medicine Providers' Perceptions on Pediatric Emergency Telemedicine.
Kim JW, Tiyyagura G, Langhan M. A Qualitative Analysis of General Emergency Medicine Providers' Perceptions on Pediatric Emergency Telemedicine. Pediatric Emergency Care 2017, Publish Ahead of Print: 856-861. PMID: 28225376, DOI: 10.1097/pec.0000000000001067.Peer-Reviewed Original ResearchConceptsED providersLimitations of telemedicineEmergency departmentTelemedicine programProviders' perceptionsPediatric ED providersAdult stroke patientsGeneral emergency departmentsCritical care settingPatient-related outcomesPediatric emergency patientsPediatric emergency careAudio-recorded semistructured interviewsPediatric telemedicineStroke patientsConnecticut hospitalsApplication of telemedicineCare settingsEmergency patientsEmergency careVideo telemedicineTelemedicine's effectMost childrenPediatric resourcesFurther studies