2020
Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform
Dhruva SS, Ross JS, Akar JG, Caldwell B, Childers K, Chow W, Ciaccio L, Coplan P, Dong J, Dykhoff HJ, Johnston S, Kellogg T, Long C, Noseworthy PA, Roberts K, Saha A, Yoo A, Shah ND. Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform. Npj Digital Medicine 2020, 3: 60. PMID: 32352038, PMCID: PMC7170944, DOI: 10.1038/s41746-020-0265-z.Peer-Reviewed Original ResearchElectronic health recordsCatheter-based atrial fibrillation ablationPatient-reported outcome measures (PROMs) dataAdditional health systemsPost-procedure recoveryProspective cohort studyTertiary care hospitalU.S. tertiary care hospitalDisease-specific symptomsAtrial fibrillation ablationOutcome measure dataDigital weight scaleBariatric surgeryCohort studyCare hospitalFibrillation ablationPharmacy dataWalgreens pharmaciesReal-world data sourcesActivity monitorHealth systemPatientsHealth recordsEHR dataWeight scale
2019
Feasibility of Using Real-World Data to Replicate Clinical Trial Evidence
Bartlett VL, Dhruva SS, Shah ND, Ryan P, Ross JS. Feasibility of Using Real-World Data to Replicate Clinical Trial Evidence. JAMA Network Open 2019, 2: e1912869. PMID: 31596493, PMCID: PMC6802419, DOI: 10.1001/jamanetworkopen.2019.12869.Peer-Reviewed Original ResearchConceptsPrimary end pointClinical trialsReal-world evidenceEnd pointElectronic health recordsEHR dataExclusion criteriaClinical trial evidenceRandomized clinical trialsHigh-impact general medical journalsReal-world populationInsurance claimsTraditional clinical trialsCross-sectional analysisSame clinical questionPercentage of trialsPrimary outcomeClinical outcomesClinical evidenceTrial evidenceTrial populationTrial inclusionObservational studyAdministrative claimsMAIN OUTCOME