2025
Detection of emergency department patients at risk of dementia through artificial intelligence
Cohen I, Taylor R, Xue H, Faustino I, Festa N, Brandt C, Gao E, Han L, Khasnavis S, Lai J, Mecca A, Sapre A, Young J, Zanchelli M, Hwang U. Detection of emergency department patients at risk of dementia through artificial intelligence. Alzheimer's & Dementia 2025, 21: e70334. PMID: 40457744, PMCID: PMC12130574, DOI: 10.1002/alz.70334.Peer-Reviewed Original ResearchConceptsElectronic health record dataHealth record dataEmergency departmentDetect dementiaDementia detectionYale New Haven HealthRecord dataRisk of dementiaEmergency department patientsBalance detection accuracyDementia algorithmsImprove patient outcomesCare coordinationCare transitionsDementia diagnosisReal-time applicationsClinical decision-makingClinician supportED usePatient safetyProbable dementiaMachine learning algorithmsED workflowED visitsED encounters“Sleep Is Not Getting the Attention It Deserves”
Gaffey A, Mattocks K, Yaggi H, Marteeny V, Walker L, Brandt C, Haskell S, Bastian L, Burg M. “Sleep Is Not Getting the Attention It Deserves”. Medical Care 2025, 63: 472-478. PMID: 40307672, DOI: 10.1097/mlr.0000000000002152.Peer-Reviewed Original ResearchConceptsVA careSleep managementSleep healthCohort of U.S. veteransSemistructured qualitative interviewsMental health providersMental health screeningVA Medical CenterSleep management practicesPost-9/11 veteransPrimary careProvider knowledgeHealth providersCare practicesRoutine educationFront lineHealth screeningUnique barriersInductive codingStandard educationQualitative interviewsU.S. veteransCareSleep knowledgeProvidersIdentifying Patient-Reported Outcome Measure Documentation in Veterans Health Administration Chiropractic Clinic Notes: Natural Language Processing Analysis
Coleman B, Corcoran K, Brandt C, Goulet J, Luther S, Lisi A. Identifying Patient-Reported Outcome Measure Documentation in Veterans Health Administration Chiropractic Clinic Notes: Natural Language Processing Analysis. JMIR Medical Informatics 2025, 13: e66466. PMID: 40173367, PMCID: PMC12038758, DOI: 10.2196/66466.Peer-Reviewed Original ResearchConceptsPatient-reported outcome measuresVeterans Health AdministrationChiropractic careNatural language processingPROM useNatural language processing approachCare quality dataCare quality metricsHealth care systemText notesText matchingClinical textHealth cohortVisit notesCare systemHealth AdministrationNatural language processing modelsMeasure documentationBag-of-wordsConvolutional neural networkOutcome measuresQuality improvementCareRule-based methodClinical notesCardiac Rehabilitation Among Veterans
Varghese M, Wu W, Drwal K, Burg M, Kazi D, Gaffey A, Mattocks K, Brandt C, Bastian L, Gandhi P. Cardiac Rehabilitation Among Veterans. Journal Of Cardiopulmonary Rehabilitation And Prevention 2025, 45: 78-84. PMID: 40014636, DOI: 10.1097/hcr.0000000000000932.Peer-Reviewed Original ResearchConceptsLocal VA medical centersHome-based CRCardiac rehabilitationVA Medical CenterVeterans Affairs (VA) healthcare systemIn-personImpact of mental healthU.S. veteransIntegrated care networksSecondary prevention interventionsMedical CenterCardiac rehabilitation outcomesImprove exercise capacityRisk of cardiovascular diseaseAttend CRIncreased risk of cardiovascular diseaseRehabilitation outcomesCR utilizationCare networkMental healthPreventive interventionsRacial disparitiesDepressive symptomsHealthcare systemExercise capacityNatriuretic peptide testing in veterans hospitalized with heart failure: Potential differences by sex
Gandhi P, Runels T, Han L, Skanderson M, Bastian L, Brandt C, Hauser R, Feder S, Rodwin B, Farmer M, Bean-Mayberry B, Placide S, Gaffey A, Akgün K. Natriuretic peptide testing in veterans hospitalized with heart failure: Potential differences by sex. Heart & Lung 2025, 71: 25-31. PMID: 39970822, DOI: 10.1016/j.hrtlng.2025.02.001.Peer-Reviewed Original ResearchConceptsNatriuretic peptide testingHeart failure hospitalizationFacility characteristicsVeterans Affairs Healthcare SystemPeptide testingSex-based differencesFacility-related factorsSex-stratified modelsAssociated with increased likelihoodAssociated with decreased likelihoodHealthcare systemHF diagnosisEjection fractionCardiac comorbiditiesFailure hospitalizationClinical outcomesLogistic regressionAtrial fibrillationHeart failureVeteransClinical covariatesPatientsAdmissionSexAssociationA deep learning analysis for dual healthcare system users and risk of opioid use disorder
Yin Y, Workman E, Ma P, Cheng Y, Shao Y, Goulet J, Sandbrink F, Brandt C, Spevak C, Kean J, Becker W, Libin A, Shara N, Sheriff H, Butler J, Agrawal R, Kupersmith J, Zeng-Trietler Q. A deep learning analysis for dual healthcare system users and risk of opioid use disorder. Scientific Reports 2025, 15: 3648. PMID: 39881142, PMCID: PMC11779826, DOI: 10.1038/s41598-024-77602-4.Peer-Reviewed Original ResearchConceptsRisk of opioid use disorderOpioid use disorderDeep neural networksUse disorderClinical factorsIncreased risk of opioid use disorderOpioid use disorder riskOpioid prescribing guidelinesNatural language processing of clinical notesDeep neural network modelU.S. veteransSubstance useOpioid useNatural language processingRetrospective studyBaltimore VA Medical CenterVA Medical CenterIncreased riskPrescribing guidelinesDrug useRisk factorsOpioidMedical CenterVeteransVeterans Health AdministrationLGBTQ+ status and sex of record in Veterans with post-traumatic stress disorder: demographics, comorbidities, and outpatient encounters
Workman T, Goulet J, Brandt C, Skanderson M, O’Leary J, Gordon K, Treitler-Zeng Q. LGBTQ+ status and sex of record in Veterans with post-traumatic stress disorder: demographics, comorbidities, and outpatient encounters. Frontiers In Public Health 2025, 12: 1487866. PMID: 39835315, PMCID: PMC11743380, DOI: 10.3389/fpubh.2024.1487866.Peer-Reviewed Original ResearchConceptsMilitary sexual traumaLGBTQ+ individualsMedical care usagePost-traumatic stress disorderTransgenderSexual traumaMarital statusSubstance use disorder diagnosisMental healthStress disorderContext of post-traumatic stress disorderQueerLGBTQ+CrimeVeterans with post-traumatic stress disorderMaltreatmentVeteransOutpatient encountersPolicySexStatusIncreased riskDemographicsChi-squareDisorder diagnosis
2024
Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure
Adejumo P, Thangaraj P, Dhingra L, Aminorroaya A, Zhou X, Brandt C, Xu H, Krumholz H, Khera R. Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure. JAMA Network Open 2024, 7: e2443925. PMID: 39509128, PMCID: PMC11544492, DOI: 10.1001/jamanetworkopen.2024.43925.Peer-Reviewed Original ResearchConceptsFunctional status assessmentArea under the receiver operating characteristic curveClinical documentationElectronic health record dataHF symptomsOptimal care deliveryHealth record dataAssess functional statusStatus assessmentClinical trial participationProcessing of clinical documentsFunctional status groupCare deliveryOutpatient careMain OutcomesMedical notesTrial participantsNew York Heart AssociationFunctional statusQuality improvementRecord dataHeart failureClinical notesDiagnostic studiesStatus groupsUtility of the PICOTS framework to assess clinical trial disruptions: monitoring the impact of COVID-19 in the Pain Management Collaboratory
Peduzzi P, Brandt C, Dearth C, Dziura J, Farrokhi S, George S, Kyriakides T, Long C, Mascha E, Patterson C, Rhon D, Kerns R. Utility of the PICOTS framework to assess clinical trial disruptions: monitoring the impact of COVID-19 in the Pain Management Collaboratory. Pain Medicine 2024, 25: s34-s40. PMID: 39514876, PMCID: PMC11548861, DOI: 10.1093/pm/pnae078.Peer-Reviewed Original ResearchConceptsPain Management CollaboratoryPICOTS frameworkIndividual-level randomizationPain management researchPragmatic clinical trialsIntervention fidelityCare deliveryStepped-wedgeSpecialty careClinical partnersCOVID-19 experienceIn-personPain managementOutcome assessmentStudy designCOVID-19Nonpharmacologic approachesImpact of COVID-19PICOTExperimental interventionLead investigatorsTrial designDesign of clinical trialsAffective deliveryPainGuideline concordant opioid therapy in Veterans receiving VA and community care
Ma P, Cheng Y, Goulet J, Sandbrink F, Brandt C, Spevak C, Kean J, Becker W, Libin A, Shara N, Sheriff H, Houston J, Butler J, Workman E, Agrawal R, Kupersmith J, Zeng-Treitler Q. Guideline concordant opioid therapy in Veterans receiving VA and community care. BMC Health Services Research 2024, 24: 1284. PMID: 39456008, PMCID: PMC11515256, DOI: 10.1186/s12913-024-11742-1.Peer-Reviewed Original ResearchConceptsDual-system usersGuideline concordant careConcordant careVA servicesCommunity careElectronic health record dataHealth record dataRates of guideline concordanceVA Medical CenterOpioid therapyAdherence to specific guidelinesBaltimore VA Medical CenterGuideline adherenceGuideline concordanceAdherence ratesGuideline recommendationsRecord dataCareDemographic factorsMedical CenterVeteransComorbid conditionsOpioid crisisUrine drug screensSpecific guidelinesImplementation and Impact of Intimate Partner Violence Screening Expansion in the Veterans Health Administration: Protocol for a Mixed Methods Evaluation
Portnoy G, Relyea M, Dichter M, Iverson K, Presseau C, Brandt C, Skanderson M, Bruce L, Martino S. Implementation and Impact of Intimate Partner Violence Screening Expansion in the Veterans Health Administration: Protocol for a Mixed Methods Evaluation. JMIR Research Protocols 2024, 13: e59918. PMID: 39194059, PMCID: PMC11391160, DOI: 10.2196/59918.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationImpact of screeningINTERNATIONAL REGISTERED REPORT IDENTIFIERHealth care systemIntimate partner violenceIPV screeningQualitative interviewsCare systemHealth AdministrationConsolidated Framework for Implementation ResearchVeterans Health Administration facilitiesElectronic health record dataIntimate partner violence screeningMixed methods evaluationHealth record dataNational health care systemLongitudinal observational designPotential implementation barriersSignificant public health problemMen's health careClinical practice implicationsPatient populationMethod evaluationRE-AIMPublic health problemLeveraging 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 outcomesHealthOdds
2023
Dementia risk analysis using temporal event modeling on a large real-world dataset
Taylor R, Gilson A, Chi L, Haimovich A, Crawford A, Brandt C, Magidson P, Lai J, Levin S, Mecca A, Hwang U. Dementia risk analysis using temporal event modeling on a large real-world dataset. Scientific Reports 2023, 13: 22618. PMID: 38114545, PMCID: PMC10730574, DOI: 10.1038/s41598-023-49330-8.Peer-Reviewed Original ResearchInsomnia and Early Incident Atrial Fibrillation: A 16‐Year Cohort Study of Younger Men and Women Veterans
Gaffey A, Rosman L, Lampert R, Yaggi H, Haskell S, Brandt C, Enriquez A, Mazzella A, Skanderson M, Burg M. Insomnia and Early Incident Atrial Fibrillation: A 16‐Year Cohort Study of Younger Men and Women Veterans. Journal Of The American Heart Association 2023, 12: e030331. PMID: 37791503, PMCID: PMC10757545, DOI: 10.1161/jaha.123.030331.Peer-Reviewed Original ResearchConceptsObstructive sleep apneaIncident atrial fibrillationAtrial fibrillationHealth care utilizationSleep apneaAF onsetCohort studyCare utilizationAF riskMultivariate Cox proportional hazards modelVeterans Health Administration (VHA) careRisk of AFCox proportional hazards modelCases of AFEarly cardiovascular riskIncident AF riskAssociation of insomniaProportional hazards modelCommon sleep disorderPost-9/11 veteransElectronic health recordsAF incidenceCardiovascular riskClinical comorbiditiesLifestyle factorsScreening for Intimate Partner Violence Experience and Use in the Veterans Health Administration
Portnoy G, Relyea M, Presseau C, Orazietti S, Bruce L, Brandt C, Martino S. Screening for Intimate Partner Violence Experience and Use in the Veterans Health Administration. JAMA Network Open 2023, 6: e2337685. PMID: 37831451, PMCID: PMC10576210, DOI: 10.1001/jamanetworkopen.2023.37685.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationCross-sectional studyStress disorder diagnosisPosttraumatic stress disorder (PTSD) diagnosisMental health servicesIPV useIntimate partner violenceHealth AdministrationVeterans Health Administration medical centersHealth servicesMental health care visitsClinical diagnosisMajor public health problemDisorder diagnosisElectronic medical record dataHealth care visitsIPV experiencesMedical record dataPublic health problemMental health cliniciansMental health careQuality improvement initiativesHealth care settingsOutcomes of interestPast-year prevalenceImplementer report: ICD-10 code F44.5 review for functional seizure disorder
Ali S, Bornovski Y, Gopaul M, Galluzzo D, Goulet J, Argraves S, Jackson-Shaheed E, Cheung K, Brandt C, Altalib H. Implementer report: ICD-10 code F44.5 review for functional seizure disorder. BMJ Health & Care Informatics 2023, 30: e100746. PMID: 37730251, PMCID: PMC10514602, DOI: 10.1136/bmjhci-2023-100746.Peer-Reviewed Original ResearchConceptsPositive predictive valueSeizure disorderICD-10Single ICD codeEHR problem listElectronic health recordsChart reviewDiagnostic codesInternational ClassificationDiagnostic codingPredictive valueICD codesProblem listDiagnostic precisionHealth recordsDisordersNatural language processing algorithmEHR systemsLanguage processing algorithmReviewCliniciansDiseaseDetection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images
Sangha V, Nargesi A, Dhingra L, Khunte A, Mortazavi B, Ribeiro A, Banina E, Adeola O, Garg N, Brandt C, Miller E, Ribeiro A, Velazquez E, Giatti L, Barreto S, Foppa M, Yuan N, Ouyang D, Krumholz H, Khera R. Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images. Circulation 2023, 148: 765-777. PMID: 37489538, PMCID: PMC10982757, DOI: 10.1161/circulationaha.122.062646.Peer-Reviewed Original ResearchConceptsLV systolic dysfunctionYale-New Haven HospitalVentricular systolic dysfunctionSystolic dysfunctionLV ejection fractionBrazilian Longitudinal StudyNew Haven HospitalEjection fractionCardiology clinicRegional hospitalLeft ventricular systolic dysfunctionCedars-Sinai Medical CenterAdult Health (ELSA-Brasil) cohortUnderstanding Veterans' intimate partner violence use and patterns of healthcare utilization
Relyea M, Presseau C, Runels T, Humbert M, Martino S, Brandt C, Haskell S, Portnoy G. Understanding Veterans' intimate partner violence use and patterns of healthcare utilization. Health Services Research 2023, 58: 1198-1208. PMID: 37452496, PMCID: PMC10622301, DOI: 10.1111/1475-6773.14201.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationHealthcare utilizationIPV useChronic painMedical treatmentSevere chronic painNon-VA providersChronic sleep problemsNon-VA servicesPost-traumatic stress disorderChi-square testRisk factorsOperation New Dawn veteransProvider trainingSleep problemsVA healthcareNew Dawn veteransOperation Enduring FreedomDATA SOURCESWomen veteransOutpatient healthcareHealth AdministrationOperation Iraqi FreedomClinical settingStudy settingPatient Dietary Supplements Use: Do Results from Natural Language Processing of Clinical Notes Agree with Survey Data?
Redd D, Workman T, Shao Y, Cheng Y, Tekle S, Garvin J, Brandt C, Zeng-Treitler Q. Patient Dietary Supplements Use: Do Results from Natural Language Processing of Clinical Notes Agree with Survey Data? Medical Sciences 2023, 11: 37. PMID: 37367736, PMCID: PMC10304046, DOI: 10.3390/medsci11020037.Peer-Reviewed Original ResearchConceptsSelf-reported supplement useSupplement useClinical notesStructured medical recordsUnstructured clinical notesPrescription medicationsClinical recordsMedical recordsPhysician guidanceDietary supplementsNatural language processing toolsPatientsNatural language processingFolic acidHealthcare facilitiesLanguage processing toolsSupplementsF1 scoreLanguage processingPotential interactionsNLP performanceProcessing toolsNLP extractionExtra informationMedicationsExtracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing
Coleman B, Finch D, Wang R, Luther S, Heapy A, Brandt C, Lisi A. Extracting Pain Care Quality Indicators from U.S. Veterans Health Administration Chiropractic Care Using Natural Language Processing. Applied Clinical Informatics 2023, 14: 600-608. PMID: 37164327, PMCID: PMC10411229, DOI: 10.1055/a-2091-1162.Peer-Reviewed Original ResearchConceptsCare quality indicatorsVeterans Health AdministrationVisit typePain assessmentChiropractic careConsultation visitCare qualityClinic visit typePain care qualityComprehensive pain assessmentWomen Veterans Cohort StudyCare visitsCohort studyMusculoskeletal painManagement visitsVisit notesHealth AdministrationConsultation notesChiropractic servicesVisitsQuality indicatorsMean numberTreatment planningPatientsDescriptive statistics
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