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 qualityCareTransforming Written and Spoken Words into Quantitative Data for Palliative Care Research Using Natural Language Processing (ME301)
Lindvall C, Walling A, Ananth P. Transforming Written and Spoken Words into Quantitative Data for Palliative Care Research Using Natural Language Processing (ME301). Journal Of Pain And Symptom Management 2024, 67: e847-e848. DOI: 10.1016/j.jpainsymman.2024.02.491.Peer-Reviewed Original ResearchGoals of care conversationsPay-for-performance programsPay-for-performanceChart abstractionCare conversationsElectronic health record dataQuality improvementPalliative care deliveryAssess care qualityCare process measuresAdvanced cancerHealth record dataElectronic health recordsManual chart abstractionEnd-of-lifeManual chart reviewUS healthcare systemIllness careCare qualityNatural language processingCare deliveryAudio-recorded conversationsHealth recordsSocial supportIllness research