2023
Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions
Kuo T, Pham A, Edelson M, Kim J, Chan J, Gupta Y, Ohno-Machado L, Anderson D, Balacha C, Bath T, Baxter S, Becker-Pennrich A, Bell D, Bernstam E, Ngan C, Day M, Doctor J, DuVall S, El-Kareh R, Florian R, Follett R, Geisler B, Ghigi A, Gottlieb A, Hinske L, Hu Z, Ir D, Jiang X, Kim K, Kim J, Knight T, Koola J, Kuo T, Lee N, Mansmann U, Matheny M, Meeker D, Mou Z, Neumann L, Nguyen N, Nick A, Ohno-Machado L, Park E, Paul P, Pletcher M, Post K, Rieder C, Scherer C, Schilling L, Soares A, SooHoo S, Soysal E, Steven C, Tep B, Toy B, Wang B, Wu Z, Xu H, Yong C, Zheng K, Zhou Y, Zucker R. Blockchain-enabled immutable, distributed, and highly available clinical research activity logging system for federated COVID-19 data analysis from multiple institutions. Journal Of The American Medical Informatics Association 2023, 30: 1167-1178. PMID: 36916740, PMCID: PMC10198529, DOI: 10.1093/jamia/ocad049.Peer-Reviewed Original ResearchConceptsFederated data analysisUser activity logsSmart contract deploymentRun-time efficiencyData analysis systemData analysis activitiesActivity logsData discoveryQuerying timeBlockchain systemBlockchain technologyNetwork transactionsCOVID-19 data analysisMultiple institutionsLow deploymentBlockchainGitHub repositoryMultiple nodesLarge networksQueriesAnalysis activitiesHigh availabilityLanguage codeBaseline solutionData analysis
2017
User needs analysis and usability assessment of DataMed – a biomedical data discovery index
Dixit R, Rogith D, Narayana V, Salimi M, Gururaj A, Ohno-Machado L, Xu H, Johnson T. User needs analysis and usability assessment of DataMed – a biomedical data discovery index. Journal Of The American Medical Informatics Association 2017, 25: 337-344. PMID: 29202203, PMCID: PMC7378884, DOI: 10.1093/jamia/ocx134.Peer-Reviewed Original ResearchData discoveryUsability evaluationInformation needsUser interfaceBiomedical dataIterative usability evaluationsInformation retrieval toolsUser interface needsHigh-quality metadataResearchers informationCommon search enginesDiscovery systemRetrieval toolsDataMedUser studyRelevance judgmentsSearch enginesUser needsDataset explorationUsability assessmentRetrieval techniquesNew retrieval techniqueIncomplete metadataMetadataUsersFeasibility of Representing Data from Published Nursing Research Using the OMOP Common Data Model.
Kim H, Choi J, Jang I, Quach J, Ohno-Machado L. Feasibility of Representing Data from Published Nursing Research Using the OMOP Common Data Model. AMIA Annual Symposium Proceedings 2017, 2016: 715-723. PMID: 28269868, PMCID: PMC5333244.Peer-Reviewed Original ResearchConceptsOMOP Common Data ModelNursing intervention protocolPatient reported outcomesCommon data modelReported outcomesDrug treatmentIntervention protocolUnique data itemsNursing articlesData modelNursing researchHealth dataPotential information lossData discoveryUse casesData itemsRepresenting DataFollowInformation lossDisease