2018
Health Maintenance Documentation Improves for Veterans with IBD Using a Template in the Computerized Patient Record System
Valluru N, Kang L, Gaidos JKJ. Health Maintenance Documentation Improves for Veterans with IBD Using a Template in the Computerized Patient Record System. Digestive Diseases And Sciences 2018, 63: 1782-1786. PMID: 29736836, DOI: 10.1007/s10620-018-5093-5.Peer-Reviewed Original ResearchConceptsPreventive care measuresComputerized patient record systemCare measuresIBD patientsMedication usePreventive carePatient record systemBackgroundInflammatory bowel diseaseImmunosuppressive medication useRetrospective chart reviewRecord systemHPV vaccinationIBD careChart reviewIBD populationBowel diseasePreventable complicationsProvider documentationClinic notesPhysician performance measuresAimThe aimProvider compliancePatientsDemographic dataMcNemar test
2017
Mo1811 Improving Health Maintenance in Veterans with Inflammatory Bowel Disease Using a Template in the Computerized Patient Record System
Valluru N, Gaidos J. Mo1811 Improving Health Maintenance in Veterans with Inflammatory Bowel Disease Using a Template in the Computerized Patient Record System. Gastroenterology 2017, 152: s787-s788. DOI: 10.1016/s0016-5085(17)32730-0.Peer-Reviewed Original Research
2015
What We All Should Know About Our Patient’s Airway Difficult Airway Communications, Database Registries, and Reporting Systems Registries
Feinleib J, Foley L, Mark L. What We All Should Know About Our Patient’s Airway Difficult Airway Communications, Database Registries, and Reporting Systems Registries. Anesthesiology Clinics 2015, 33: 397-413. PMID: 25999011, DOI: 10.1016/j.anclin.2015.02.010.Peer-Reviewed Original ResearchConceptsMedical recordsCare providersAirway management techniquesPatients' medical recordsHealth care providersFuture health care providersElectronic patient record systemPatient record systemDatabase registrySubsequent episodesPatient informationFuture providersRecord systemReporting systemManagement techniquesProvidersCommunicationFull integrationPatientsRegistryInformation
2011
Enrolment and programmatic trends and predictors of antiretroviral therapy initiation from President's Emergency Plan for AIDS Relief (PEPFAR)-supported public HIV care and treatment sites in rural Mozambique
Moon TD, Burlison JR, Blevins M, Shepherd BE, Baptista A, Sidat M, Vergara AE, Vermund SH. Enrolment and programmatic trends and predictors of antiretroviral therapy initiation from President's Emergency Plan for AIDS Relief (PEPFAR)-supported public HIV care and treatment sites in rural Mozambique. International Journal Of STD & AIDS 2011, 22: 621-627. PMID: 22096045, DOI: 10.1258/ijsa.2011.010442.Peer-Reviewed Original ResearchConceptsAntiretroviral therapyART initiationAntiretroviral therapy initiationHIV treatment programsCells/μLContinuous drug supplyPresident's Emergency PlanHIV careTherapy initiationHIV testingMedian ageSaharan AfricaTreatment expansionZambézia ProvinceRoutine dataPatient record systemPatientsTreatment programOlder ageAIDS ReliefHealth manpowerCells/Drug supplyRecord systemTreatment sites
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 modelAlgorithm
2002
Metadata-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
2001
Consumer Informatics Supporting Patients as Co-Producers of Quality
Kaplan B, Brennan P. Consumer Informatics Supporting Patients as Co-Producers of Quality. Journal Of The American Medical Informatics Association 2001, 8: 309-316. PMID: 11418537, PMCID: PMC130075, DOI: 10.1136/jamia.2001.0080309.Peer-Reviewed Original Research
1999
Neuronal database integration: the Senselab EAV data model.
Marenco L, Nadkarni P, Skoufos E, Shepherd G, Miller P. Neuronal database integration: the Senselab EAV data model. AMIA Annual Symposium Proceedings 1999, 102-6. PMID: 10566329, PMCID: PMC2232788.Peer-Reviewed Original Research
1998
Data Extraction and Ad Hoc Query of an Entity—Attribute—Value Database
Nadkarni P, Brandt C. Data Extraction and Ad Hoc Query of an Entity—Attribute—Value Database. Journal Of The American Medical Informatics Association 1998, 5: 511-527. PMID: 9824799, PMCID: PMC61332, DOI: 10.1136/jamia.1998.0050511.Peer-Reviewed Original ResearchConceptsElectronic patient record systemQuery problemAd-Hoc QueriesReal-time retrievalPatient record systemData warehousingEntity attributesComplex subproblemsData retrievalQueriesValue databaseRecord systemSuch systemsRetrievalValue tablePatient dataFront endAttributesMetadataWarehousingDatabaseUsersData extractionSubproblemsIndividual attributes
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