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 ResearchMeSH KeywordsAlgorithmsChildChild AbuseDecision Support Systems, ClinicalElectronic Health RecordsEmergency Service, HospitalHumansNatural Language ProcessingConceptsClinical 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
2022
Improving Child Abuse Recognition and Management: Moving Forward with Clinical Decision Support
Tiyyagura G, Asnes AG, Leventhal JM. Improving Child Abuse Recognition and Management: Moving Forward with Clinical Decision Support. The Journal Of Pediatrics 2022, 252: 11-13. PMID: 35987368, DOI: 10.1016/j.jpeds.2022.08.020.Peer-Reviewed Original Research