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
2023
Electronic Health Record Embedded Strategies for Improving Care of Patients With Heart Failure
Fuery M, Kadhim B, Samsky M, Freeman J, Clark K, Desai N, Wilson F, Ahmed T, Ahmad T. Electronic Health Record Embedded Strategies for Improving Care of Patients With Heart Failure. Current Heart Failure Reports 2023, 20: 280-286. PMID: 37552356, DOI: 10.1007/s11897-023-00614-0.Peer-Reviewed Original ResearchConceptsHeart failure patientsFailure patientsElectronic health recordsEHR alertClinical trialsRandomized clinical trialsCare of patientsQuality of careHeart failureClinician satisfactionRandomized fashionRecent FindingsTherePatientsUnmet needPatient careClinical decisionEvidence-based decisionsFuture interventionsCareHealth recordsTrialsCliniciansInterventionFindingsThere