2024
A Natural Language Processing Study to Assess Quality of End-of-Life Care for Children with Cancer (RP215)
Lindsay M, De Oliveira S, Ward D, Sciacca K, Lindvall C, Ananth P. A Natural Language Processing Study to Assess Quality of End-of-Life Care for Children with Cancer (RP215). Journal Of Pain And Symptom Management 2024, 67: e763. DOI: 10.1016/j.jpainsymman.2024.02.425.Peer-Reviewed Original ResearchEnd-of-life careGoals of care discussionsEnd-of-lifePalliative care consultationLocation of deathProportion of decedentsNatural language processingCode status limitationsCancer decedentsHospice discussionCare discussionsCare consultationDocumented goals of care discussionsEnd-of-life care qualityEvidence-based process measuresKeyword libraryLanguage processingElectronic health recordsManual chart abstractionMonths of lifeQuality measuresRule-based natural language processingCare qualityNatural language processing technologyNatural language processing studies
2016
Influence of early-phase clinical trial enrollment on patterns of end-of-life care for children with advanced cancer.
Ananth P, Monsereenusorn C, Ma C, Al-Sayegh H, Wolfe J, Rodriguez-Galindo C. Influence of early-phase clinical trial enrollment on patterns of end-of-life care for children with advanced cancer. Journal Of Clinical Oncology 2016, 34: 151-151. DOI: 10.1200/jco.2016.34.26_suppl.151.Peer-Reviewed Original ResearchEarly phase clinical trialsClinical trial enrollmentTrial enrollmentNeP patientsPhase clinical trialsClinic visitsAdvanced cancerPPC consultationACP discussionsHospital admissionEP patientsClinical trialsLife carePaediatric palliative care consultationsRetrospective cohort studyAdvance care planning discussionsPalliative care consultationAttempt-resuscitation ordersFrequent clinic visitsPediatric oncology patientsHospital resource useLarge cancer centerMonths of lifeDate of deathFisher's exact test