2021
Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report
Jiang G, Dhruva SS, Chen J, Schulz WL, Doshi AA, Noseworthy PA, Zhang S, Yu Y, Young H, Brandt E, Ervin KR, Shah ND, Ross JS, Coplan P, Drozda JP. Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report. Journal Of The American Medical Informatics Association 2021, 28: 2241-2250. PMID: 34313748, PMCID: PMC8449615, DOI: 10.1093/jamia/ocab117.Peer-Reviewed Original ResearchConceptsReal-world dataHealth information technology systemsInformation technology systemsUnique device identifiersMaturity modelNatural language processing toolsTechnology systemsUnstructured data elementsNatural language processingCommon data modelData quality frameworkLanguage processing toolsComputable phenotypeInformatics approachElectronic health recordsClinical data systemsData modelLanguage processingDevice identifiersStandardized codesData elementsProcessing toolsInformatics technologiesData captureHealth records
2009
Trial Publication after Registration in ClinicalTrials.Gov: A Cross-Sectional Analysis
Ross JS, Mulvey GK, Hines EM, Nissen SE, Krumholz HM. Trial Publication after Registration in ClinicalTrials.Gov: A Cross-Sectional Analysis. PLOS Medicine 2009, 6: e1000144. PMID: 19901971, PMCID: PMC2728480, DOI: 10.1371/journal.pmed.1000144.Peer-Reviewed Original ResearchConceptsOptional data elementsClinical trialsTrial publicationsInternet-based registryCompleteness of registrationCross-sectional analysisSelective publicationPrimary outcomeUS National LibraryReporting TrialsPublication statusTrial resultsPhase ITrialsData elementsSignificant differencesEditors' SummaryEnd dateSystematic protocolClinicalTrials