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
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply