2024
Development of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients–March 2022—April 2023
Bui D, Bajema K, Huang Y, Yan L, Li Y, Rajeevan N, Berry K, Rowneki M, Argraves S, Hynes D, Huang G, Aslan M, Ioannou G. Development of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients–March 2022—April 2023. PLOS ONE 2024, 19: e0307235. PMID: 39365775, PMCID: PMC11451987, DOI: 10.1371/journal.pone.0307235.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overCohort StudiesCOVID-19COVID-19 VaccinesFemaleHospitalizationHumansMachine LearningMaleMiddle AgedROC CurveSARS-CoV-2United StatesUnited States Department of Veterans AffairsVeterans HealthConceptsVeterans Health AdministrationCOVID-19 hospitalizationArea under the receiver operating characteristic curveComprehensive electronic health recordNational cohortElectronic health recordsAll-cause mortalityNational cohort of patientsFull modelHealth recordsHealth AdministrationReceipt of COVID-19 vaccineMortality riskEpidemiology of COVID-19COVID-19High-risk patientsBrier scoreCohort of patientsAnti-SARS-CoV-2 treatmentCOVID-19 vaccineReceiver operating characteristic curveCalibration interceptHospitalAntiviral treatmentAvailability of effective vaccines
2019
Genome‐wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder
Harvey PD, Sun N, Bigdeli TB, Fanous AH, Aslan M, Malhotra AK, Lu Q, Hu Y, Li B, Chen Q, Mane S, Miller P, Rajeevan N, Sayward F, Cheung K, Li Y, Greenwood TA, Gur RE, Braff DL, on the Genetics of Schizophrenia C, Brophy M, Pyarajan S, O'Leary TJ, Gleason T, Przygodszki R, Muralidhar S, Gaziano JM, Concato J, Zhao H, Siever LJ. Genome‐wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2019, 183: 181-194. PMID: 31872970, DOI: 10.1002/ajmg.b.32775.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAllelesBipolar DisorderCognitionCognition DisordersFemaleGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedNeuropsychological TestsOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideSchizophreniaUnited StatesUnited States Department of Veterans AffairsVeterans
2017
Effect of the Tool to Reduce Inappropriate Medications on Medication Communication and Deprescribing
Fried TR, Niehoff KM, Street RL, Charpentier PA, Rajeevan N, Miller PL, Goldstein MK, O'Leary JR, Fenton BT. Effect of the Tool to Reduce Inappropriate Medications on Medication Communication and Deprescribing. Journal Of The American Geriatrics Society 2017, 65: 2265-2271. PMID: 28804870, PMCID: PMC5641237, DOI: 10.1111/jgs.15042.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overChronic DiseaseCommunicationDecision Support Systems, ClinicalDeprescriptionsElectronic Health RecordsFemaleHumansMaleMedication ReconciliationPolypharmacyPotentially Inappropriate Medication ListSoftwareUnited StatesUnited States Department of Veterans AffairsVeteransConceptsElectronic health recordsInappropriate medicationsPatient assessmentChronic conditionsMedication communicationPatient communicationVeterans Affairs Medical CenterMedication-related communicationMedication-related outcomesNumber of medicationsPrimary care clinicsClustering of patientsAccuracy of documentationClinical decision support systemInappropriate regimensMore medicationsUsual careChart reviewMedication discrepanciesCare clinicsMedication problemsClinical trialsClinician communicationMedical CenterMedicationsUtilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains
Rajeevan N, Niehoff KM, Charpentier P, Levin FL, Justice A, Brandt CA, Fried TR, Miller PL. Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains. BMC Medical Informatics And Decision Making 2017, 17: 111. PMID: 28724368, PMCID: PMC5517800, DOI: 10.1186/s12911-017-0501-x.Peer-Reviewed Original ResearchMeSH KeywordsDecision Support Systems, ClinicalElectronic Health RecordsHumansUnited StatesUnited States Department of Veterans AffairsConceptsClinical decision supportElectronic health recordsCDS systemsDecision supportPatient-specific clinical decision supportEHR environmentInformatics challengesWeb-based clinical decision supportHealth recordsPatient dataWeb technologiesData accessComputational infrastructureParticular architectureIssues/challengesDesign issuesSuch systemsInformatics methodsPowerful setData availabilityVeterans AdministrationInfrastructureVA electronic health recordClinical domainsUS Veterans Administration