2024
Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing
Nargesi A, Adejumo P, Dhingra L, Rosand B, Hengartner A, Coppi A, Benigeri S, Sen S, Ahmad T, Nadkarni G, Lin Z, Ahmad F, Krumholz H, Khera R. Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing. JACC Heart Failure 2024 PMID: 39453355, DOI: 10.1016/j.jchf.2024.08.012.Peer-Reviewed Original ResearchReduced ejection fractionEjection fractionHeart failureLeft ventricular ejection fractionVentricular ejection fractionYale-New Haven HospitalIdentification of patientsCommunity hospitalIdentification of heart failureLanguage modelNorthwestern MedicineMeasure care qualityQuality of careNew Haven HospitalDeep learning-based natural language processingHFrEFGuideline-directed careDeep learning language modelsMIMIC-IIIDetect HFrEFNatural language processingReclassification improvementHospital dischargePatientsCare quality
2019
Association of Income Disparities with Patient-Reported Healthcare Experience
Okunrintemi V, Khera R, Spatz ES, Salami JA, Valero-Elizondo J, Warraich HJ, Virani SS, Blankstein R, Blaha MJ, Pawlik TM, Dharmarajan K, Krumholz HM, Nasir K. Association of Income Disparities with Patient-Reported Healthcare Experience. Journal Of General Internal Medicine 2019, 34: 884-892. PMID: 30783877, PMCID: PMC6544715, DOI: 10.1007/s11606-019-04848-4.Peer-Reviewed Original ResearchConceptsPatient healthcare experienceHealthcare experiencesHigher oddsMedical Expenditure Panel Survey cohortHealthcare providersRepresentative US adult populationUS adult populationTimes higher oddsQuality of careTimes greater oddsLow incomePoor healthcare experiencesRetrospective studyPatient incomePatient levelPatient reportsUS adultsProvider satisfactionGreater oddsPatientsHealth outcomesSurvey cohortAdult populationStudy participantsAspects of access