2024
Use of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks
Lu Y, Keeley E, Barrette E, Cooper-DeHoff R, Dhruva S, Gaffney J, Gamble G, Handke B, Huang C, Krumholz H, McDonough C, Schulz W, Shaw K, Smith M, Woodard J, Young P, Ervin K, Ross J. Use of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks. BMC Cardiovascular Disorders 2024, 24: 497. PMID: 39289597, PMCID: PMC11409735, DOI: 10.1186/s12872-024-04161-x.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsHealth systemUncontrolled hypertensionUse of electronic health recordsHypertension managementElectronic health record systemsOneFlorida Clinical Research ConsortiumElectronic health record dataYale New Haven Health SystemBP measurementsICD-10-CM codesHealth system networkPublic health priorityICD-10-CMIncidence rate of deathElevated BP measurementsElevated blood pressure measurementsHealthcare visitsAmbulatory careHealth priorityRetrospective cohort studyEHR dataOneFloridaBlood pressure measurementsDerivation of an Annualized Claims-Based Major Adverse Cardiovascular Event Estimator in Type 2 Diabetes
McCoy R, Swarna K, Deng Y, Herrin J, Ross J, Kent D, Borah B, Crown W, Montori V, Umpierrez G, Galindo R, Brito J, Mickelson M, Polley E. Derivation of an Annualized Claims-Based Major Adverse Cardiovascular Event Estimator in Type 2 Diabetes. JACC Advances 2024, 3: 100852. PMID: 38939660, PMCID: PMC11198625, DOI: 10.1016/j.jacadv.2024.100852.Peer-Reviewed Original ResearchType 2 diabetesMedicare fee-for-service planClaims-based prediction modelPopulation risk stratificationRisk of Major Adverse Cardiovascular EventsMajor adverse cardiovascular eventsNon-Hispanic whitesFee-for-service plansStudy cohortClinical trials of cardiovascular diseaseCox proportional hazards modelsProportional hazards modelCare populationHealth systemPrimary preventionMedicare AdvantageParticipant identificationPayer levelPharmacy claimsDecentralized clinical trialsHazards modelCardiovascular diseaseRisk predictionMedicarePatient population
2023
Using real-world data from health systems to evaluate the safety and effectiveness of a catheter to treat ischemic ventricular tachycardia
Dhruva S, Zhang S, Chen J, Noseworthy P, Doshi A, Agboola K, Herrin J, Jiang G, Yu Y, Cafri G, Farr K, Mbwana M, Ross J, Coplan P, Drozda J. Using real-world data from health systems to evaluate the safety and effectiveness of a catheter to treat ischemic ventricular tachycardia. Journal Of Interventional Cardiac Electrophysiology 2023, 66: 1817-1825. PMID: 36738387, DOI: 10.1007/s10840-023-01496-x.Peer-Reviewed Original ResearchConceptsIschemic ventricular tachycardiaVentricular tachycardiaHealth system dataVT ablationSTSF catheterComposite outcomeHealth systemRisk differencePre-specified performance goalComposite safety outcomeReal-world safetyRoutine clinical practiceDrug Administration approvalAverage risk differenceThromboembolic eventsTotal patientsHeart failureProcedural complicationsMethodsAmong patientsAdministration approvalMayo ClinicSafety outcomesEffectiveness outcomesClinical practiceCatheterExploring unique device identifier implementation and use for real-world evidence: a mixed-methods study with NESTcc health system network collaborators
Dhruva S, Ridgeway J, Ross J, Drozda J, Wilson N. Exploring unique device identifier implementation and use for real-world evidence: a mixed-methods study with NESTcc health system network collaborators. BMJ Surgery Interventions & Health Technologies 2023, 5: e000167. PMID: 36704544, PMCID: PMC9872505, DOI: 10.1136/bmjsit-2022-000167.Peer-Reviewed Original ResearchHealth systemReal-world evidence generationDevice identificationPrior conceptual modelInformation technologyHealth system characteristicsWorkflow changesNetworkReal-world evidenceImplementationResearch NetworkClinical benefitSupply chainMedical devicesSystem characteristicsTechnologyRWE studiesEffectiveness studiesCurrent stateConceptual modelBrief surveyMixed-method studySustainment (EPIS) frameworkInterview topicsMedical device safety
2021
Feasibility of using real-world data in the evaluation of cardiac ablation catheters: a test-case of the National Evaluation System for Health Technology Coordinating Center
Dhruva SS, Jiang G, Doshi AA, Friedman DJ, Brandt E, Chen J, Akar JG, Ross JS, Ervin KR, Farr K, Shah ND, Coplan P, Noseworthy PA, Zhang S, Forsyth T, Schulz WL, Yu Y, Drozda JP. Feasibility of using real-world data in the evaluation of cardiac ablation catheters: a test-case of the National Evaluation System for Health Technology Coordinating Center. BMJ Surgery Interventions & Health Technologies 2021, 3: e000089. PMID: 35047806, PMCID: PMC8749235, DOI: 10.1136/bmjsit-2021-000089.Peer-Reviewed Original ResearchPositive predictive valuePersistent atrial fibrillationIschemic ventricular tachycardiaAblation catheterHealth systemAtrial fibrillationVentricular tachycardiaCardiac ablation catheterAcute heart failureDuration of patientsHealth system dataCardiac tamponadeIschemic strokeRetrospective cohortHeart failureClinical outcomesEndpoint ascertainmentPredictive valueCatheterChart validationCoordinating CenterTachycardiaPatientsFibrillationParticipant population
2020
The Promise of Big Data and Digital Solutions in Building a Cardiovascular Learning System: Opportunities and Barriers.
Mori M, Khera R, Lin Z, Ross JS, Schulz W, Krumholz HM. The Promise of Big Data and Digital Solutions in Building a Cardiovascular Learning System: Opportunities and Barriers. Methodist DeBakey Cardiovascular Journal 2020, 16: 212-219. PMID: 33133357, PMCID: PMC7587314, DOI: 10.14797/mdcj-16-3-212.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsLearning health systemLearning systemCommon data modelDynamic learning systemAdvanced analyticsBig dataData assetsData modelDigital solutionsCustomer interactionContinuous learningKnowledge generationEffective useConceptual modelAnalyticsSystemGoogleHealth systemLearningComparable scaleModelDataCompaniesAggregating 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
2015
Development and Validation of an Algorithm to Identify Planned Readmissions From Claims Data
Horwitz LI, Grady JN, Cohen DB, Lin Z, Volpe M, Ngo CK, Masica AL, Long T, Wang J, Keenan M, Montague J, Suter LG, Ross JS, Drye EE, Krumholz HM, Bernheim SM. Development and Validation of an Algorithm to Identify Planned Readmissions From Claims Data. Journal Of Hospital Medicine 2015, 10: 670-677. PMID: 26149225, PMCID: PMC5459369, DOI: 10.1002/jhm.2416.Peer-Reviewed Original ResearchConceptsSame-hospital readmissionsNegative predictive valuePositive predictive valuePredictive valueReadmission measuresHospital-wide readmission measureGold standard chart reviewAdministrative claims-based algorithmDiagnostic cardiac catheterizationClaims-based algorithmLarge teaching centersAcute care hospitalsSmall community hospitalUnplanned readmissionChart reviewCardiac catheterizationScheduled careSpecificity 96.5Community hospitalReadmissionClaims dataCardiac devicesHealth systemTeaching centerPublic reporting
2006
Description of a Research‐Based Health Activism Curriculum for Medical Students
S. SS, Ross JS, Lurie P, Sacajiu G. Description of a Research‐Based Health Activism Curriculum for Medical Students. Journal Of General Internal Medicine 2006, 21: 1325-1328. PMID: 16961754, PMCID: PMC1924746, DOI: 10.1111/j.1525-1497.2006.00608.x.Peer-Reviewed Original ResearchConceptsMedical studentsStudent projectsCurriculumCore facultyStudentsRole modelsAdvocacy planAlbert Einstein CollegeSystem reformAcademic institutionsResearch methodsResearch questionsHealth system reformResearch proposalsMontefiore Medical CenterReformU.S. health systemEquitable health policiesUniversity HospitalMedical CenterFacultyHealth systemSkillsHealth policyCollege