Harnessing Natural Language Processing to Assess Quality of End-of-Life Care for Children With Cancer
Lindsay M, de Oliveira S, Sciacca K, Lindvall C, Ananth P. Harnessing Natural Language Processing to Assess Quality of End-of-Life Care for Children With Cancer. JCO Clinical Cancer Informatics 2024, 8: e2400134. PMID: 39265122, PMCID: PMC11407740, DOI: 10.1200/cci.24.00134.Peer-Reviewed Original ResearchConceptsEnd-of-life carePalliative care consultationGoals of careLocation of deathProportion of decedentsDocumented discussionCare consultationEvidence-based quality measuresMeasure quality of careGold standard manual chart reviewQuality measuresQuality of careEnd of lifeContent of clinical notesLife-sustaining treatmentEnd-of-lifeManual chart reviewCancer decedentsEfficient quality measureCohort of childrenAssess qualityMulti-center researchQuality improvementMeasure qualityCareA 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