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 ResearchConceptsVeterans 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 vaccinesCorrelates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder
Bigdeli T, Barr P, Rajeevan N, Graham D, Li Y, Meyers J, Gorman B, Peterson R, Sayward F, Radhakrishnan K, Natarajan S, Nielsen D, Wilkinson A, Malhotra A, Zhao H, Brophy M, Shi Y, O’Leary T, Gleason T, Przygodzki R, Pyarajan S, Muralidhar S, Gaziano J, Huang G, Concato J, Siever L, DeLisi L, Kimbrel N, Beckham J, Swann A, Kosten T, Fanous A, Aslan M, Harvey P. Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder. Molecular Psychiatry 2024, 29: 2399-2407. PMID: 38491344, DOI: 10.1038/s41380-024-02472-1.Peer-Reviewed Original ResearchBipolar I disorderSuicidal behaviorElectronic health recordsPolygenic scoresVeterans Health AdministrationSelf-reported SBColumbia-Suicide Severity Rating ScaleBipolar I disorder patientsCorrelates of suicidal behaviorClasses of psychotropic medicationsSelf-injurious behaviorHealth recordsSeverity Rating ScaleDiagnosed mental illnessAssociated with clinical variablesElectronic health record codesEHR domainDepressive disorderC-SSRSLifetime diagnosisSubstance-relatedPsychotropic medicationsSuicidal ideationExternalizing behaviorsSuicide attempts
2017
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
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 ResearchConceptsClinical 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
2016
Development of the Tool to Reduce Inappropriate Medications (TRIM): A Clinical Decision Support System to Improve Medication Prescribing for Older Adults
Niehoff KM, Rajeevan N, Charpentier PA, Miller PL, Goldstein MK, Fried TR. Development of the Tool to Reduce Inappropriate Medications (TRIM): A Clinical Decision Support System to Improve Medication Prescribing for Older Adults. Pharmacotherapy The Journal Of Human Pharmacology And Drug Therapy 2016, 36: 694-701. PMID: 27041466, PMCID: PMC4919149, DOI: 10.1002/phar.1751.Peer-Reviewed Original ResearchConceptsDirect patient assessmentClinical decision support systemInappropriate medicationsElectronic health recordsChart reviewPatient assessmentPotential overtreatmentOlder primary care patientsVeterans Affairs Medical CenterAdditional health variablesVeterans 65 yearsHealth recordsHigh-risk patientsPrimary care patientsPrimary care clinicsFeedback reportsInappropriate dosingMore medicationsMedication regimenCare patientsDiabetes mellitusMedication regimensCare clinicsAdverse reactionsChronic conditions
2014
Exploring a Clinically Friendly Web-Based Approach to Clinical Decision Support Linked to the Electronic Health Record: Design Philosophy, Prototype Implementation, and Framework for Assessment
Miller P, Phipps M, Chatterjee S, Rajeevan N, Levin F, Frawley S, Tokuno H. Exploring a Clinically Friendly Web-Based Approach to Clinical Decision Support Linked to the Electronic Health Record: Design Philosophy, Prototype Implementation, and Framework for Assessment. JMIR Medical Informatics 2014, 2: e20. PMID: 25580426, PMCID: PMC4288105, DOI: 10.2196/medinform.3586.Peer-Reviewed Original ResearchComputer-based clinical decision supportElectronic health recordsPrototype implementationClinical decision supportDecision supportHealth recordsDesign philosophyWeb-based approachImplementation issuesPilot applicationPilot frameworkTechnical designImplementationFrameworkNeuropathic painPilot assessmentProvider practicesClinical decisionDesignAreas of focusUnacceptable demandsVariety of perspectivesApplicationsSupportAssessment