2016
Chapter 6 Clinical Research Information Systems: Using Electronic Health Records for Research
Nadkarni P. Chapter 6 Clinical Research Information Systems: Using Electronic Health Records for Research. 2016, 129-142. DOI: 10.1016/b978-0-12-803130-8.00006-3.Peer-Reviewed Original ResearchClinical study data management systemsElectronic health recordsHealth recordsData management systemPersonal health recordsService requestsCentralized managementManagement systemType of systemClinical research dataPatient-reported outcomesPragmatic clinical trialsQuality improvement initiativesResearch dataGenomic dataClinical trialsClinical dataPractical issuesInteroperationLimited situationsWorkflowResearch projectRequestsSystemDataChapter 5 Software for Patient Care Versus Software for Clinical Research Support: Similarities and Differences
Nadkarni P. Chapter 5 Software for Patient Care Versus Software for Clinical Research Support: Similarities and Differences. 2016, 115-128. DOI: 10.1016/b978-0-12-803130-8.00005-1.Peer-Reviewed Original ResearchElectronic health record systemsClinical study data management systemsData management systemHealth record systemsData capture systemKind of systemData modelRedundant effortsClinical research supportManagement systemRecord systemSingle institutionStudy protocolCapture systemSoftwareMultiple institutionsSubject recruitmentStudy configurationSystemTransactionsDifferencesHuman population
2011
Metadata-driven Software Systems in Biomedicine, Designing Systems that can adapt to Changing Knowledge
Nadkarni P. Metadata-driven Software Systems in Biomedicine, Designing Systems that can adapt to Changing Knowledge. Health Informatics 2011 DOI: 10.1007/978-0-85729-510-1.Peer-Reviewed Original ResearchSoftware systemsClinical study data management systemsBiomedical database systemsData management systemResearch support systemSoftware developmentDatabase schemaDatabase systemsExtensible designSoftware historyDesigning systemSupport systemManagement systemSuch systemsDevelopment skillsElectronic medical recordsNon-trivial examplesNew systemProblems oneBest systemDetailed projectMetadataOntologyCase studySystem
2006
Pivoting approaches for bulk extraction of Entity–Attribute–Value data
Dinu V, Nadkarni P, Brandt C. Pivoting approaches for bulk extraction of Entity–Attribute–Value data. Computer Methods And Programs In Biomedicine 2006, 82: 38-43. PMID: 16556470, DOI: 10.1016/j.cmpb.2006.02.001.Peer-Reviewed Original ResearchConceptsEntity attributesClinical study data management systemsData management systemNumber of attributesDatabase serverHash tableClinical patient dataValue dataManagement systemAlternative algorithmsPatient dataSQLServerRepositoryAlgorithmComplex approachFormatDataAttributesParameter formatOne-columnExtractionAnalytical programPerformanceMemory
2004
Managing Complex Change in Clinical Study Metadata
Brandt CA, Gadagkar R, Rodriguez C, Nadkarni PM. Managing Complex Change in Clinical Study Metadata. Journal Of The American Medical Informatics Association 2004, 11: 380-391. PMID: 15187070, PMCID: PMC516245, DOI: 10.1197/jamia.m1511.Peer-Reviewed Original ResearchConceptsMetadata managementClinical study data management systemsHigh-level specificationData management systemProduction rule systemMiddleware enginesUse casesMetadata modificationCentralized informationStudy metadataManagement systemMetadataInformationSubschemaSystemSoftwareSpecificationEngineCapabilitySpecific typesManagementIntegration of Web-based and PC-based Clinical Research Databases
Brandt CA, Sun K, Charpentier P, Nadkarni PM. Integration of Web-based and PC-based Clinical Research Databases. Methods Of Information In Medicine 2004, 43: 287-295. PMID: 15227559, DOI: 10.1055/s-0038-1633870.Peer-Reviewed Original ResearchConceptsDatabase applicationsClinical study data management systemsIntegration of applicationsCommon semantic modelData management systemWeb-based repositoryClinical research databaseSchema conflictsSharing of featuresData managementMapping schemaSemantic modelDifferent operating environmentsModel unificationManagement systemIntegration effortsOperating environmentArea of applicabilityData collectionMajor benefitsSimilar purposesIntegrationApplicationsCritical conflictsData libraries
2003
Temporal query of attribute-value patient data: utilizing the constraints of clinical studies
Deshpande AM, Brandt C, Nadkarni PM. Temporal query of attribute-value patient data: utilizing the constraints of clinical studies. International Journal Of Medical Informatics 2003, 70: 59-77. PMID: 12706183, PMCID: PMC2987270, DOI: 10.1016/s1386-5056(02)00183-1.Peer-Reviewed Original ResearchConceptsClinical study data management systemsTemporal queriesClinical patient record systemsClinical data storageData management systemPatient record systemQuery algorithmData storageTemporal operatorsClinical studiesQueriesManagement systemGroup of patientsRecord systemEffect of therapyTemporal computationAdverse eventsRelational formsPatient dataLogistic reasonsArchitectureValue modelAlgorithmTrialDB: A web-based Clinical Study Data Management System.
Brandt CA, Deshpande AM, Lu C, Ananth G, Sun K, Gadagkar R, Morse R, Rodriguez C, Miller PL, Nadkarni PM. TrialDB: A web-based Clinical Study Data Management System. AMIA Annual Symposium Proceedings 2003, 2003: 794. PMID: 14728299, PMCID: PMC1480035.Peer-Reviewed Original ResearchConceptsClinical study data management systemsData management systemClass of softwareManagement systemPre-existing softwareWeb-based technologiesOpen source formDatabase engineClinical domainsSuch softwareData managementCentralized managementDifferent clinical domainsChallenging taskSuch systemsValue modelingSoftwareRequisite functionalityIntranetInternetDiverse typesSystemTaskDomainEngine
2002
Metadata-driven creation of data marts from an EAV-modeled clinical research database
Brandt CA, Morse R, Matthews K, Sun K, Deshpande AM, Gadagkar R, Cohen DB, Miller PL, Nadkarni PM. Metadata-driven creation of data marts from an EAV-modeled clinical research database. International Journal Of Medical Informatics 2002, 65: 225-241. PMID: 12414020, DOI: 10.1016/s1386-5056(02)00047-3.Peer-Reviewed Original ResearchConceptsData martClinical study data management systemsTransaction-oriented systemsData management systemClinical research databaseDatabase schemaEntity attributesAnalytical processingHuman interpretationStudy metadataMetadataManagement systemArbitrary numberData entrySuch dataBrowsingValue modelSchemaMartHigher-level groupingsSystemDataProcessingDatabaseCreationMetadata-driven Ad Hoc Query of Patient Data
Deshpande AM, Brandt C, Nadkarni PM. Metadata-driven Ad Hoc Query of Patient Data. Journal Of The American Medical Informatics Association 2002, 9: 369-382. PMID: 12087118, PMCID: PMC346624, DOI: 10.1197/jamia.m1034.Peer-Reviewed Original ResearchConceptsClinical study data management systemsClinical patient record systemsQuery interfaceAd-Hoc QueriesData management systemWeb-based platformPatient record systemManagement systemClinical studiesRecord systemMetadataStandardized therapeutic interventionsUnderlying clinical conditionSystem operationNon-research settingsClinical parametersPatient managementClinical conditionsQueriesPortingTherapeutic interventionsInterfaceSystemPlatformAD