Sophia De Oliveira
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About
Biography
Sophia is a research assistant at the PACE Lab. Her responsibilities include participant recruitment and data collection. Her research interests lie in the intersection between policy and healthcare, with a particular interest in the development of policy and healthcare services to ameliorate healthcare disparities and encourage culturally competent care. She is currently a freshman at Yale College. In her free time, she enjoy recreating recipes from shows on the Food Network and spending time with her family and their three dogs, two chameleons, and goldfish!
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Sophia De Oliveira's published research.
Meghan Lindsay, MPH
Prasanna Ananth, MD, MPH
Publications
2024
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 ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsEnd-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 ResearchConceptsEnd-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