2024
Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review
Lacson R, Yu Y, Kuo T, Ohno-Machado L. Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review. Journal Of The American Medical Informatics Association 2024, 31: 1423-1435. PMID: 38726710, PMCID: PMC11105130, DOI: 10.1093/jamia/ocae084.Peer-Reviewed Original ResearchConceptsElectronic health recordsSystematic reviewData sharingMedical data sharingSpeed metricsPreferred Reporting ItemsCertificate storageDecentralized InternetNetwork permissionsBlockchain platformBlockchain applicationsEvaluation metricsBiomedical domainBlockchainBiomedical data managementHealth recordsData managementData storageReporting ItemsHealth sectorQuantitative metricsMedical facilitiesMetricsTrial managementClinical trial management
2020
Privacy challenges and research opportunities for genomic data sharing
Bonomi L, Huang Y, Ohno-Machado L. Privacy challenges and research opportunities for genomic data sharing. Nature Genetics 2020, 52: 646-654. PMID: 32601475, PMCID: PMC7761157, DOI: 10.1038/s41588-020-0651-0.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2018
Privacy Policy and Technology in Biomedical Data Science
Arellano A, Dai W, Wang S, Jiang X, Ohno-Machado L. Privacy Policy and Technology in Biomedical Data Science. Annual Review Of Biomedical Data Science 2018, 1: 115-129. PMID: 31058261, PMCID: PMC6497413, DOI: 10.1146/annurev-biodatasci-080917-013416.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsReal-world health-care applicationInstitutional review boardBiomedical data scienceClinical data sharingHealth care applicationsCommon rulesData anonymizationDeidentification methodsUnstructured dataEncryption methodSensitive informationPrivacy policiesData deidentificationSecurity rulesEthics topicsResearch ethicsData scienceData sharingData governancePatient privacyConsent practicesHuman subject dataHIPAA privacyPublic trustTerms of technology
2017
A community effort to protect genomic data sharing, collaboration and outsourcing
Wang S, Jiang X, Tang H, Wang X, Bu D, Carey K, Dyke S, Fox D, Jiang C, Lauter K, Malin B, Sofia H, Telenti A, Wang L, Wang W, Ohno-Machado L. A community effort to protect genomic data sharing, collaboration and outsourcing. Npj Genomic Medicine 2017, 2: 33. PMID: 29263842, PMCID: PMC5677972, DOI: 10.1038/s41525-017-0036-1.Peer-Reviewed Original ResearchGenomic data sharingData sharingSecure computation techniquesPrivacy-preserving techniquesPublic cloud servicesMagnitude performance improvementThird Critical AssessmentData outsourcingCloud servicesPrivacy challengesData privacyHuman genomic dataSecurity researchersPrivacy risksSensitive informationComputer privacyBeacon serviceBiomedical informaticistsSecurity concernsMemory requirementsCollaborative discoveryComputation techniquesComputational runtimePrivacyTrack 2Developing a framework for digital objects in the Big Data to Knowledge (BD2K) commons: Report from the Commons Framework Pilots workshop
Jagodnik K, Koplev S, Jenkins S, Ohno-Machado L, Paten B, Schurer S, Dumontier M, Verborgh R, Bui A, Ping P, McKenna N, Madduri R, Pillai A, Ma'ayan A. Developing a framework for digital objects in the Big Data to Knowledge (BD2K) commons: Report from the Commons Framework Pilots workshop. Journal Of Biomedical Informatics 2017, 71: 49-57. PMID: 28501646, PMCID: PMC5545976, DOI: 10.1016/j.jbi.2017.05.006.Peer-Reviewed Original ResearchConceptsBig dataDigital objectsBig data scienceNIH Big DataDiversity of dataComputational infrastructureData scienceData sharingVirtual environmentSecure processK frameworkDiverse datasetsKnowledge initiativesKnowledge commonsSuch dataBiomedical researchObjectsInteroperabilityFrameworkDiscoverabilityRecent yearsSharingDatasetInfrastructurePilot project
2016
Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States
Wang S, Jiang X, Singh S, Marmor R, Bonomi L, Fox D, Dow M, Ohno‐Machado L. Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States. Annals Of The New York Academy Of Sciences 2016, 1387: 73-83. PMID: 27681358, PMCID: PMC5266631, DOI: 10.1111/nyas.13259.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsData privacySensitive individual informationComputer science communityReal-world problemsUnauthorized partiesHuman genomic dataPrivacy breachesData accessData sharingData accessibilityConfidentiality protectionGenomic dataSpectrum of techniquesIndividual informationPrivacyScience communityPhenotype informationTechnical approachPotential solutionsCurrent common practiceBiomedical researchResearch purposesConfidentialityInformationSharingSecure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE)
Shi H, Jiang C, Dai W, Jiang X, Tang Y, Ohno-Machado L, Wang S. Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE). BMC Medical Informatics And Decision Making 2016, 16: 89. PMID: 27454168, PMCID: PMC4959358, DOI: 10.1186/s12911-016-0316-1.Peer-Reviewed Original ResearchConceptsData sharingPatient privacySecure multi-party computationModel learning phaseMulti-party computationBiomedical data sharingInformation leakageModel learningIntermediary informationInformation exchangeSecondary usePrivacyBig concernPractical solutionLogistic regression frameworkExperimental resultsSharingRegression frameworkFrameworkMultiple institutionsPrevious workComputationLearningBiomedical researchInformationConsensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges
Amarasingham R, Audet A, Bates D, Glenn Cohen I, Entwistle M, Escobar G, Liu V, Etheredge L, Lo B, Ohno-Machado L, Ram S, Saria S, Schilling L, Shahi A, Stewart W, Steyerberg E, Xie B. Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges. Healthcare 2016, 4: 1163. PMID: 27141516, PMCID: PMC4837887, DOI: 10.13063/2327-9214.1163.Commentaries, Editorials and LettersPredictive analytics applicationsAnalytics applicationsPredictive analyticsData sharingData barriersPredictive model developmentElectronic health record dataCertification frameworkReal timeEfficient mannerModel developmentAvailable electronic health record dataHealth record dataList of recommendationsSystematic frameworkAlgorithmDiverse expertiseRecent explosionEarlier frameworkFramework
2015
Comparison of consumers’ views on electronic data sharing for healthcare and research
Kim K, Joseph J, Ohno-Machado L. Comparison of consumers’ views on electronic data sharing for healthcare and research. Journal Of The American Medical Informatics Association 2015, 22: 821-830. PMID: 25829461, PMCID: PMC5009901, DOI: 10.1093/jamia/ocv014.Peer-Reviewed Original ResearchConceptsElectronic data sharingData sharingHealth information exchangeData networksHealth informationTechnology infrastructureInformation exchangePrivacyHealth Insurance PortabilitySharingAccountability ActUse of dataInsurance PortabilitySecurityNetworkInformationHealthcareIndividual controlHealthcare deliveryMere relianceDepth studyPortabilityAccessInfrastructureComparison of consumersPreserving Genome Privacy in Research Studies
Wang S, Jiang X, Fox D, Ohno-Machado L. Preserving Genome Privacy in Research Studies. 2015, 425-441. DOI: 10.1007/978-3-319-23633-9_16.Peer-Reviewed Original ResearchGenome privacyPrivacy researchBetter privacy protectionObfuscation of dataSecure data repositoryLoss of privacyData use agreementsPrivacy challengesPrivacy problemsPrivacy protectionAttack modelIndividual privacyData sharingMassive collectionPrivacyData repositoryTraditional clinical informationScientific discoveryGenomic dataData analysis methodsBig challengeUse agreementsBiomedical communityTechnical aspects
2014
Privacy Preserving RBF Kernel Support Vector Machine
Li H, Xiong L, Ohno-Machado L, Jiang X. Privacy Preserving RBF Kernel Support Vector Machine. BioMed Research International 2014, 2014: 827371. PMID: 25013805, PMCID: PMC4071990, DOI: 10.1155/2014/827371.Peer-Reviewed Original ResearchConceptsPrivate dataPrivacy-preserving data disseminationKernel support vector machineRBF kernel support vector machinePublic dataSupport vector machineSupport vector machine modelVector machine modelData disseminationData sharingBiomedical dataPrivacy standardsVector machineRBF kernelPerformance metricsSVMMachine modelFull usePrivacyFinal outputSeparable caseAvailable informationMachineSharingMetricsNatural Language Processing in Biomedicine: A Unified System Architecture Overview
Doan S, Conway M, Phuong T, Ohno-Machado L. Natural Language Processing in Biomedicine: A Unified System Architecture Overview. Methods In Molecular Biology 2014, 1168: 275-294. PMID: 24870142, DOI: 10.1007/978-1-4939-0847-9_16.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsNatural language processingNLP systemsLanguage processingClinical natural language processingBiomedical natural language processingClinical decision supportImportant data sourceArchitectural viewsStructured data fieldsArchitecture overviewData sharingNLP toolsGeneral architectureDecision supportKnowledge resourcesBackground knowledgeData fieldsCollaborative workSystem evaluationData sourcesCurrent research effortsElectronic medical recordsResearch effortsProcessingQuality assurance
2013
Privacy Technology to Support Data Sharing for Comparative Effectiveness Research
Jiang X, Sarwate A, Ohno-Machado L. Privacy Technology to Support Data Sharing for Comparative Effectiveness Research. Medical Care 2013, 51: s58-s65. PMID: 23774511, PMCID: PMC3728160, DOI: 10.1097/mlr.0b013e31829b1d10.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsData sharingPrivacy-preserving data sharingPrivacy-preserving technologiesEffective data sharingPrivacy technologiesData miningNetwork dataData typesThird-party expertsData tablesSpecific scenariosSharingInappropriate disclosurePractical evaluationPractical impactPatient dataNew technologiesTechnologyPrivacyComparative effectiveness researchMiningPractical toolCER studiesTextTime series
2012
Privacy-preserving heterogeneous health data sharing
Mohammed N, Jiang X, Chen R, Fung B, Ohno-Machado L. Privacy-preserving heterogeneous health data sharing. Journal Of The American Medical Informatics Association 2012, 20: 462-469. PMID: 23242630, PMCID: PMC3628047, DOI: 10.1136/amiajnl-2012-001027.Peer-Reviewed Original ResearchConceptsSet-valued dataDifferential privacyNoise additionPrivacy-preserving mannerAdversary's background knowledgeStrong privacy guaranteesBackground knowledgeHealth data sharingPrivacy modelPrivacy guaranteesSensitive dataData sharingHealthcare dataPrivate mannerAlgorithm designPrivacyRaw dataSynthetic dataAlgorithmHealth dataProbabilistic wayDiscriminative analysisExperimental resultsUseful informationClassification analysis