2024
Impact of complementary health approaches on opioid prescriptions among veterans with musculoskeletal disorders – A retrospective cohort study
Han L, Goulet J, Skanderson M, Redd D, Brandt C, Zeng-Treitler Q. Impact of complementary health approaches on opioid prescriptions among veterans with musculoskeletal disorders – A retrospective cohort study. Journal Of Pain 2024, 26: 104695. PMID: 39384145, DOI: 10.1016/j.jpain.2024.104695.Peer-Reviewed Original ResearchIntegrative health approachesHealth approachOpioid prescriptionsMusculoskeletal disordersAdministration electronic health recordComplementary health approachesPrimary care visitsElectronic health recordsPharmacy dispensing recordsCIH approachesCare visitsDispensed opioid prescriptionsHealth recordsRetrospective cohort studyDispensing recordsPatient's painAnalytic sampleIndex diagnosisExposure groupCohort studyVeteransOpioid initiationQuasi-experimental investigationCIHPrescriptionInterventions to mitigate EHR and documentation burden in health professions trainees: A scoping review
Levy D, Rossetti S, Brandt C, Melnick E, Hamilton A, Rinne S, Womack D, Mohan V. Interventions to mitigate EHR and documentation burden in health professions trainees: A scoping review. Applied Clinical Informatics 2024 PMID: 39366661, DOI: 10.1055/a-2434-5177.Peer-Reviewed Original ResearchEHR burdenElectronic health recordsHealth professions traineesExperiences of interventionsHealth professionalsDocumentation burdenInpatient settingExperienced health professionalsBurden modelPeer-reviewed studiesQuasi-experimental designDesigning new interventionsShift handoffsEHR workflowPhysician traineesPerspective of interventionHealth recordsPRISMA-ScRScoping reviewLiving tasksConcept clarificationTeam communicationTrainee experienceWorkflow modelNew interventionsElectronic Health Record Concordance with Survey-Reported Military Sexual Trauma Among Younger Veterans: Associations with Health Care Utilization and Mental Health Diagnoses
Gaffey A, Burg M, Skanderson M, Deviva J, Brandt C, Bastian L, Haskell S. Electronic Health Record Concordance with Survey-Reported Military Sexual Trauma Among Younger Veterans: Associations with Health Care Utilization and Mental Health Diagnoses. Journal Of Women's Health 2024 PMID: 38946553, DOI: 10.1089/jwh.2023.0993.Peer-Reviewed Original ResearchElectronic health recordsHealth care utilizationAssociated with health care utilizationMilitary sexual traumaVeterans Health AdministrationCare utilizationPosttraumatic stress disorderVeteran health care utilizationMental health visitsPrimary care utilizationMental health diagnosesCross-sectional associationsService-related characteristicsPost-9/11 veteransSexual traumaLikelihood of posttraumatic stress disorderEHR screensPrimary careVHA careHealth visitsOlder veteransHealth recordsYounger veteransDepression diagnosisExperience MSTLeveraging Electronic Health Records to Assess Residential Mobility Among Veterans in the Veterans Health Administration
Wang K, Hendrickson Z, Miller M, Abel E, Skanderson M, Erdos J, Womack J, Brandt C, Desai M, Han L. Leveraging Electronic Health Records to Assess Residential Mobility Among Veterans in the Veterans Health Administration. Medical Care 2024, 62: 458-463. PMID: 38848139, DOI: 10.1097/mlr.0000000000002017.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationElectronic health recordsResidential addressesHealth recordsHealth AdministrationLeveraging electronic health recordsInfluence health care utilizationVeterans Health Administration dataAssociations of sociodemographicsHealth care utilizationHealth care systemPatient's residential addressCross-sectional analysisGeneralized logistic regressionCare utilizationHealth systemResidential mobilitySubstance use disordersCare systemPatient's residenceLogistic regressionVeteransMultinomial outcomesHealthOddsEstimating risk for pancreatic cancer among 9.4 million veterans in care.
Wang L, Rahimi Larki N, Skanderson M, Tate J, Hauser R, Brandt C, Yang Y, Justice A. Estimating risk for pancreatic cancer among 9.4 million veterans in care. Journal Of Clinical Oncology 2024, 42: 10544-10544. DOI: 10.1200/jco.2024.42.16_suppl.10544.Peer-Reviewed Original ResearchVeterans Health AdministrationGeneral populationAlcohol useIntegrated health systemElectronic health recordsTen-year riskHistory of cancerLoss to follow-upFollow-upEvaluated model discriminationMedian baseline ageCox proportional hazards modelsRisk prediction modelHealth recordsProportional hazards modelHealth systemHealth AdministrationMultivariate Cox proportional hazards modelSmoking statusCharlson Comorbidity IndexBaseline ageClinical reasoningRange of risksHazards modelFinal predictorsIdentifying incarceration status in the electronic health record using large language models in emergency department settings
Huang T, Socrates V, Gilson A, Safranek C, Chi L, Wang E, Puglisi L, Brandt C, Taylor R, Wang K. Identifying incarceration status in the electronic health record using large language models in emergency department settings. Journal Of Clinical And Translational Science 2024, 8: e53. PMID: 38544748, PMCID: PMC10966832, DOI: 10.1017/cts.2024.496.Peer-Reviewed Original ResearchElectronic health recordsNatural language processingHealth recordsIncarceration statusSignificant social determinant of healthSocial determinants of healthClinic electronic health recordsEHR databasePopulation health initiativesDeterminants of healthMitigate health disparitiesRacial health inequitiesEmergency department settingICD-10 codesHealth inequalitiesNatural language processing modelsHealth disparitiesHealth initiativesDepartment settingEmergency departmentSystem interventionsICD-10Clinical notesStudy populationLanguage modelDevelopment and Validation of Case-Finding Algorithms to Identify Pancreatic Cancer in the Veterans Health Administration
Mezzacappa C, Larki N, Skanderson M, Park L, Brandt C, Hauser R, Justice A, Yang Y, Wang L. Development and Validation of Case-Finding Algorithms to Identify Pancreatic Cancer in the Veterans Health Administration. Digestive Diseases And Sciences 2024, 69: 1507-1513. PMID: 38453743, DOI: 10.1007/s10620-024-08324-w.Peer-Reviewed Original ResearchElectronic health recordsVeterans Health AdministrationHealth AdministrationElectronic health records data elementsElectronic health record dataDiagnosis of exocrine pancreatic cancerNational Cancer RegistryCancer RegistryHealth recordsExocrine pancreatic cancerOncology settingOutpatient encountersInpatient encountersData elementsExpert adjudicationPancreatic ductal adenocarcinomaEpidemiological studiesRandom sampleInterquartile rangeIdentification of patientsRange of patientsPancreatic cancerVeteransLate diagnosisExcellent PPV
2023
Development of REDCap-based architecture for a clinical decision support tool linked to the electronic health record for assessment of medication appropriateness
Charpentier P, Mecca M, Brandt C, Fried T. Development of REDCap-based architecture for a clinical decision support tool linked to the electronic health record for assessment of medication appropriateness. JAMIA Open 2023, 6: ooad041. PMID: 37333904, PMCID: PMC10276359, DOI: 10.1093/jamiaopen/ooad041.Peer-Reviewed Original Research
2022
The Complexity of Sex-Based Cancer Screenings for Veterans with Gender-Related Diagnoses in VA Care
Warren A, Brandt C, Bastian L, Zeng Q, Black A, Goulet J. The Complexity of Sex-Based Cancer Screenings for Veterans with Gender-Related Diagnoses in VA Care. Annals Of LGBTQ Public And Population Health 2022, 3: 135-141. DOI: 10.1891/lgbtq-2021-0010.Peer-Reviewed Original ResearchElectronic health recordsVeterans Health AdministrationNational electronic health recordCervical cancerCancer screeningVA careProstate cancer screeningPSA testingDiagnostic codesVA facilitiesMale veteransHealth AdministrationSex-specific careFemale veteransCancer screenDiagnosisCareHealth recordsVeteransSexCancerOriginal sex
2019
Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record–Based Computable Phenotype Derivation and Validation Study
Chartash D, Paek H, Dziura JD, Ross BK, Nogee DP, Boccio E, Hines C, Schott AM, Jeffery MM, Patel MD, Platts-Mills TF, Ahmed O, Brandt C, Couturier K, Melnick E. Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record–Based Computable Phenotype Derivation and Validation Study. JMIR Medical Informatics 2019, 7: e15794. PMID: 31674913, PMCID: PMC6913746, DOI: 10.2196/15794.Peer-Reviewed Original ResearchOpioid use disorderNegative predictive valuePositive predictive valueEmergency department patientsEmergency departmentUse disordersHealth care systemPredictive valueComputable phenotypeExternal validation phasesDepartment patientsCare systemPhysician chart reviewLarge health care systemExternal validation cohortEmergency medicine physiciansHigh predictive valueElectronic health recordsChart reviewChief complaintValidation cohortPragmatic trialClinical dataBilling codesMedicine physicians
2016
Natural Language Processing for Understanding Contraceptive Use at the VA
Scotch M, Brandt C, Leung S, Womack J. Natural Language Processing for Understanding Contraceptive Use at the VA. Annals Of Information Systems 2016, 19: 249-259. DOI: 10.1007/978-3-319-23294-2_12.Peer-Reviewed Original ResearchSelf-reported contraceptive useWomen Veterans Cohort StudyElectronic health recordsContraceptive useFemale veteransRetrospective chart reviewVA electronic health recordHealthcare facilitiesChart reviewCohort studyPharmacy recordsMedical recordsDrug FileContraceptive informationPatientsContraceptivesHealth recordsGold standardPermanent methodsNatural language processing pipelineVeteransCareAdditional researchLanguage processing pipelineVA
2011
How Good Are the Data? Feasible Approach to Validation of Metrics of Quality Derived From an Outpatient Electronic Health Record
Benin AL, Fenick A, Herrin J, Vitkauskas G, Chen J, Brandt C. How Good Are the Data? Feasible Approach to Validation of Metrics of Quality Derived From an Outpatient Electronic Health Record. American Journal Of Medical Quality 2011, 26: 441-451. PMID: 21926280, DOI: 10.1177/1062860611403136.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAmbulatory CareChildChild, PreschoolGuideline AdherenceHumansInfantMass ScreeningMedical Records Systems, ComputerizedOutcome and Process Assessment, Health CareOutpatientsPatient SafetyPediatricsPractice Guidelines as TopicQuality Indicators, Health CareQuality of Health CareReproducibility of Results