2024
Distributed management of patient data-sharing informed consents for clinical research
Pham A, Edelson M, Nouri A, Kuo T. Distributed management of patient data-sharing informed consents for clinical research. Computers In Biology And Medicine 2024, 180: 108956. PMID: 39121682, PMCID: PMC11380755, DOI: 10.1016/j.compbiomed.2024.108956.Peer-Reviewed Original ResearchBenefits of immutabilityBlockchain-based infrastructureMulti-site scenarioResearch Data AccessNode parallelismOn-chainNetwork nodesData accessAudit trailPatient privacyDistribution managementConsent mechanismsData categoriesNodesEfficient wayNetworkAutomated channelAccuracyQueryPrivacyImmutabilityOrchestrationConsent protocolDataExhaustive list
2023
A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia
Ohno-Machado L, Jiang X, Kuo T, Tao S, Chen L, Ram P, Zhang G, Xu H. A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia. Journal Of Biomedical Informatics 2023, 139: 104322. PMID: 36806328, PMCID: PMC10975485, DOI: 10.1016/j.jbi.2023.104322.Peer-Reviewed Original ResearchConceptsPrivacy of individualsAppropriate privacy protectionData-driven modelsPrivacy protectionPrivacy risksData Coordination CenterData hubData repositoryHierarchical strategyPrivacyBiomedical discoveryData setsRecord linkageData Coordinating CenterRepositoryComplex strategiesCoordination centerTechnologyTechniqueDataPartiesSetHierarchy
2022
The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition
Kuo T, Jiang X, Tang H, Wang X, Harmanci A, Kim M, Post K, Bu D, Bath T, Kim J, Liu W, Chen H, Ohno-Machado L. The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition. Journal Of The American Medical Informatics Association 2022, 29: 2182-2190. PMID: 36164820, PMCID: PMC9667175, DOI: 10.1093/jamia/ocac165.Peer-Reviewed Original ResearchConceptsSensitive personal informationGenomic data analysisPotential future research directionsPersonal informationSecurity concernsGenomics data repositoryData repositoryReport lessonsProtection techniquesFuture research directionsPrivacyResearch directionsData usePractical challengesGenomic dataData analysisAnonymizationCommunity effortsRepositorySecurityBiomedical researchInformationDataChallenges
2019
‘Fit-for-purpose?’ – challenges and opportunities for applications of blockchain technology in the future of healthcare
Mackey T, Kuo T, Gummadi B, Clauson K, Church G, Grishin D, Obbad K, Barkovich R, Palombini M. ‘Fit-for-purpose?’ – challenges and opportunities for applications of blockchain technology in the future of healthcare. BMC Medicine 2019, 17: 68. PMID: 30914045, PMCID: PMC6436239, DOI: 10.1186/s12916-019-1296-7.Peer-Reviewed Original ResearchConceptsApplication of blockchain technologyHealthcare-related dataBlockchain approachBusiness processesHealth blockchainBlockchain technologyData architectureBlockchainData managementTransform healthcareMultidisciplinary groups of practitionersImprove patient outcomesHealthcare stakeholdersHealthcare needsGroup of practitionersHealth sectorMultidisciplinary groupDesign elementsDataHealthcarePatient outcomesPerspective of consumersTechnologyEnhance complianceLow cost
2011
Assessing the Quality of Diffusion Models using Real-World Social Network Data
Kuo T, Hung S, Lin W, Lin S, Peng T, Shih C. Assessing the Quality of Diffusion Models using Real-World Social Network Data. 2011, 200-205. DOI: 10.1109/taai.2011.42.Peer-Reviewed Original ResearchIndependent Cascade ModelMicro-blog dataLinear threshold modelMicro-blogInformation propagationReal worldSocial networksIndirect schemePlurkCascade modelEvaluation frameworkIn-degreeNetwork DataSchemeCascading phenomenaFrameworkDifferent circumstancesPageRankTwitterNetworkDataFacebookDiffusion eventsModelDiffusion model