2025
Cannabis Legalization and Opioid Use Disorder in Veterans Health Administration Patients
Mannes Z, Wall M, Alschuler D, Malte C, Olfson M, Livne O, Fink D, Keyhani S, Keyes K, Martins S, Cerdá M, Sacco D, Gutkind S, Maynard C, Sherman S, Saxon A, Hasin D. Cannabis Legalization and Opioid Use Disorder in Veterans Health Administration Patients. JAMA Health Forum 2025, 6: e251369. PMID: 40512510, PMCID: PMC12166489, DOI: 10.1001/jamahealthforum.2025.1369.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationVeterans Health Administration patientsMedical cannabis lawsOpioid use disorderPrevalence of opioid use disorderClassification of DiseasesRecreational cannabis lawsChronic painVeterans Health Administration electronic health recordClinical ModificationConsistent with overall findingsState medical cannabis lawsInternational Statistical Classification of DiseasesReceipt of prescription opioidsStatistical Classification of DiseasesElectronic health recordsInternational Classification of DiseasesNon-Hispanic whitesOpioid use disorder diagnosisOpioid use disorder prevalenceInternational Statistical ClassificationDifference-in-differences analysisCannabis lawsUse disorderBurden of opioid use disorderGenerating synthetic electronic health record data: a methodological scoping review with benchmarking on phenotype data and open-source software
Chen X, Wu Z, Shi X, Cho H, Mukherjee B. Generating synthetic electronic health record data: a methodological scoping review with benchmarking on phenotype data and open-source software. Journal Of The American Medical Informatics Association 2025, 32: 1227-1240. PMID: 40460023, PMCID: PMC12203555, DOI: 10.1093/jamia/ocaf082.Peer-Reviewed Original ResearchConceptsGAN-based methodsElectronic health recordsOpen-source softwareBaseline methodsMIMIC-IIIGenerative adversarial network (GAN)-based methodsAdversarial network (GAN)-based methodsSynthetic electronic health recordsDownstream use casesRule-based methodElectronic health record datasetPrivacy exposurePrivacy protectionEvaluation metricsUse casesCompetitive performanceCondition generation methodSynthetic dataDecision treeBenchmark methodsElectronic health record dataData generationGeneration methodComprehensive benchmarkMIMIC-IVA Digital Depression Treatment Program for Adults Treated in Primary Care
Dahne J, Wahlquist A, Carpenter M, Graboyes E, Lejuez C, Kustanowitz J, Natale N, Levins O, Player M, Diaz V. A Digital Depression Treatment Program for Adults Treated in Primary Care. JAMA Internal Medicine 2025, 185: 692-701. PMID: 40227715, PMCID: PMC11997856, DOI: 10.1001/jamainternmed.2025.0494.Peer-Reviewed Original ResearchElectronic health recordsBeck Depression Inventory-IIPrimary care settingBehavioral activation interventionDepressive symptomsClinically significant improvementUsual careActivity interventionsCare settingsElectronic health record featuresElectronic health record integrationPatient Health Questionnaire-9Depression remissionModerate symptoms of depressionPrimary care providersPrimary care clinicsDepression treatment programTreating depressive symptomsSymptoms of depressionPrimary careSignificant improvementCare clinicsIntervention engagementCare providersScalable interventionsAccuracy of COVID-19 vaccination Self-report compared with data from VSD electronic health Records for Pregnant Women and non-pregnant Adults, 2021-2022
Stein A, Williams J, Hurley L, Breslin K, Kurlandsky K, Hambidge S, Nelson J, Fuller C, Crane B, Hanson K, Glenn S, Jazwa A, Reifler L. Accuracy of COVID-19 vaccination Self-report compared with data from VSD electronic health Records for Pregnant Women and non-pregnant Adults, 2021-2022. American Journal Of Epidemiology 2025, kwaf112. PMID: 40445214, DOI: 10.1093/aje/kwaf112.Peer-Reviewed Original ResearchElectronic health record dataElectronic health recordsSelf-reportHealth recordsVaccine Safety DatalinkAccuracy of electronic health recordsPregnant womenNon-pregnant adultsNon-Hispanic blacksSpanish-speaking respondentsVaccination statusEstimate vaccination ratesNon-pregnant peopleCross-sectional studySelf-reported vaccination statusSelf-reported dataSelf-report measuresAdult respondentsPrevention effortsVaccination ratesEstimates of sensitivityVaccination dataCOVID-19COVID-19 pandemicVaccination coveragePTPN2 and Leukopenia in Individuals With Normal TPMT and NUDT15 Metabolizer Status Taking Azathioprine
Daniel L, Nepal P, Zanussi J, Dickson A, Straub P, Miller‐Fleming T, Wei W, Hung A, Cox N, Kawai V, Mosley J, Stein C, Feng Q, Liu G, Tao R, Chung C. PTPN2 and Leukopenia in Individuals With Normal TPMT and NUDT15 Metabolizer Status Taking Azathioprine. Clinical And Translational Science 2025, 18: e70220. PMID: 40442974, PMCID: PMC12122386, DOI: 10.1111/cts.70220.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGenome-wide significancePrincipal components of ancestryImmune cell developmentGenetic risk factorsDose-dependent side effectsAssociation studiesGenetic dataSide effects of azathioprineIntronic variantsElectronic health recordsVanderbilt's electronic health recordEffect of azathioprineCell developmentPTPN2Replication cohortTPMTHealth recordsNUDT15NIH-funded projectDrug discontinuationThiopurine useBioVUXanthine oxidase inhibitorLeukopeniaA Novel Sentence Transformer-based Natural Language Processing Approach for Schema Mapping of Electronic Health Records to the OMOP Common Data Model.
Zhou X, Dhingra L, Aminorroaya A, Adejumo P, Khera R. A Novel Sentence Transformer-based Natural Language Processing Approach for Schema Mapping of Electronic Health Records to the OMOP Common Data Model. AMIA Annual Symposium Proceedings 2025, 2024: 1332-1339. PMID: 40417570.Peer-Reviewed Original ResearchConceptsCommon Data ModelElectronic health recordsOMOP Common Data ModelSchema mappingsMapping electronic health recordData modelTransformer-based deep learning modelsNatural language processing approachEnd-to-endDeep learning modelsHealth recordsEnhance interoperabilityTransformation pipelineLearning modelsOMOPProcessing approachSchemaStandard conceptsDiverse healthcare systemsInteroperabilityLarge-scaleStandard mapDatasetSoftwareHealthcare systemNovel algorithms & blood‐based biomarkers: Dementia detection and care transitions for persons living with dementia in the emergency department
Saxena S, Carpenter C, Floden D, Meldon S, Taylor R, Hwang U. Novel algorithms & blood‐based biomarkers: Dementia detection and care transitions for persons living with dementia in the emergency department. Alzheimer's & Dementia 2025, 21: e70287. PMID: 40390207, PMCID: PMC12089069, DOI: 10.1002/alz.70287.Peer-Reviewed Original ResearchConceptsElectronic health recordsGeriatric emergency departmentCare partnersEmergency departmentImprove careLeveraging electronic health recordsRisk of dementiaHigh emergency departmentRisk stratification algorithmCare transitionsCoordinated careED environmentDeliver careED settingHealth recordsDementia detectionHealthcare systemHigh acuityCareOutpatient settingStratification algorithmDementiaEmergency cliniciansBlood-based biomarkersPLWDCannabis Use Disorder Among People With and Without HIV.
Haley D, So-Armah K, Justice A, Kidwai-Khan F, Xuan Z, Sayko Adams R, Fox M, Edelman E, Wrona A, Silverberg M, Satre D, Trickey A, Ingle S, McGinnis K. Cannabis Use Disorder Among People With and Without HIV. Journal Of Addiction Medicine 2025 PMID: 40358026, DOI: 10.1097/adm.0000000000001505.Peer-Reviewed Original ResearchCannabis use disorderNon-HispanicHIV statusElectronic health recordsBlack non-HispanicNational US cohortCannabis useUse disorderMultivariate logistic modelHealth recordsCohort of PLWHOlder PLWHPrescription medicationsInternational ClassificationUniversal screeningGeneral populationPLWHDemographic characteristicsPLWOHPotential harmAging populationAge groupsHIVRace/ethnicityTreatment advancesElectronic health record-based registry for identification of individuals at risk for hereditary cancer syndromes
Singh V, Rafter T, Sharbatji M, Liu J, Brown Q, Brierley K, Healy C, Xicola R, Kashyap N, Llor X. Electronic health record-based registry for identification of individuals at risk for hereditary cancer syndromes. Journal Of Medical Genetics 2025, 62: 457-463. PMID: 40350248, DOI: 10.1136/jmg-2025-110718.Peer-Reviewed Original ResearchConceptsHereditary cancer syndromesElectronic health recordsGenetic testingElectronic health record-based registryCancer syndromesIdentification of individualsFamily history of cancerFamily historyFamily history criteriaAt-riskHistory of cancerAt-risk individualsHealth recordsPathogenic variantsProspective identification of individualsRegistryActive patientsSyndrome identificationFamily relationshipsIncreased diagnostic rateCancer-related survivalStreamlined processProspective identificationIndividualsTesting needsArtificial Intelligence in the Management of Heart Failure
Cheema B, Hourmozdi J, Kline A, Ahmad F, Khera R. Artificial Intelligence in the Management of Heart Failure. Journal Of Cardiac Failure 2025 PMID: 40345521, DOI: 10.1016/j.cardfail.2025.02.020.Peer-Reviewed Original ResearchArtificial intelligenceState-of-the-art algorithmsData privacy concernsState-of-the-artManagement of heart failureAI-based toolsElectronic health recordsAI solutionsMultimodal dataHeart failureHealth recordsIntegration challengesHeart failure syndromeStructural heart diseaseHeart failure treatmentIntelligenceImplementation challengesModel performanceModel governanceAdvanced diseaseFailure syndromeCardiomyopathy diagnosisFailure treatmentRisk factorsHeart diseaseMulti‐ancestry genome‐wide association study of topiramate's effects on heavy alcohol use
Davis C, Jinwala Z, Justice A, Rentsch C, Kranzler H. Multi‐ancestry genome‐wide association study of topiramate's effects on heavy alcohol use. Alcohol Clinical And Experimental Research 2025, 49: 1197-1205. PMID: 40322892, PMCID: PMC12174493, DOI: 10.1111/acer.70069.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesMillion Veteran ProgramGenome-wide significancePolygenic scoresAlcohol consumptionAssociation studiesAlcohol Use Disorders Identification Test-Consumption (AUDIT-C) scoresGenome-wide association study samplesPhenome-wide association studyAlcohol useElectronic health recordsMeta-analysisGWAS meta-analysisMulti-ancestry genome-wide association studyTopiramate's effectsAlcohol use disorder diagnosisCross-ancestry meta-analysisFrequency of alcohol useCandidate gene studiesHeavy alcohol useHealth recordsVeteran ProgramAlcohol-related liver diseaseCross-ancestryTreatment responseUsing Electronic Health Records to Classify Cancer Site and Metastasis
Kroenke K, Ruddy K, Pachman D, Grzegorczyk V, Herrin J, Rahman P, Tobin K, Griffin J, Chlan L, Austin J, Ridgeway J, Mitchell S, Marsolo K, Cheville A. Using Electronic Health Records to Classify Cancer Site and Metastasis. Applied Clinical Informatics 2025, 16: 556-568. PMID: 40533095, PMCID: PMC12176508, DOI: 10.1055/a-2544-3117.Peer-Reviewed Original ResearchConceptsCancer registry dataCancer sitesNumerical rating scaleCancer symptomsRegistry dataInternational Statistical Classification of DiseasesCollaborative care approachStatistical Classification of DiseasesElectronic health recordsCancer symptom controlMedical oncology clinicInternational Statistical ClassificationClassification of DiseasesDiverse cohort of patientsCancer RegistryCare approachPrevalent codesHealth recordsPragmatic trialSite diagnosisHealth systemEHR dataOncology clinicDiagnostic codesICD-10Factors Associated with Preoperative Attrition from a Large, Racially and Ethnically Representative Bariatric Program in the USA: A Single-Center Retrospective, Cohort Study
Hamid S, Butensky S, Graetz E, Olivares M, Schwartz J, Schneider E, Ghiassi S, Gibbs K. Factors Associated with Preoperative Attrition from a Large, Racially and Ethnically Representative Bariatric Program in the USA: A Single-Center Retrospective, Cohort Study. Obesity Surgery 2025, 35: 2390-2394. PMID: 40295326, DOI: 10.1007/s11695-025-07884-8.Peer-Reviewed Original ResearchConceptsFactors associated with attritionAssociated with decreased oddsObesity-related diseasesHispanic ethnicitySocial Vulnerability IndexStudy samplePreoperative attritionElectronic health recordsAcademic health systemAssociated with increased oddsAssociated with attritionRegional-level factorsMultivariate logistic regressionHealth recordsNon-HispanicHealth systemCompared individual-US populationIncreased oddsSurgical treatment of obesityCohort studyMedicare insuranceLogistic regressionMedicareOddsComputational Phenomapping of Randomized Clinical Trial Participants to Enable Assessment of Their Real-World Representativeness and Personalized Inference
Thangaraj P, Oikonomou E, Dhingra L, Aminorroaya A, Jayaram R, Suchard M, Khera R. Computational Phenomapping of Randomized Clinical Trial Participants to Enable Assessment of Their Real-World Representativeness and Personalized Inference. Circulation Cardiovascular Quality And Outcomes 2025, 18: e011306. PMID: 40261065, PMCID: PMC12203226, DOI: 10.1161/circoutcomes.124.011306.Peer-Reviewed Original ResearchConceptsElectronic health record patientElectronic health recordsDistance metricRandomized clinical trialsElectronic health record dataMachine learning methodsYale New Haven Health SystemElectronic health record cohortRandomized clinical trial participantsLearning methodsHeart failureClinical trial participationTOPCAT participantsReal worldMultidimensional metricRCT participantsHealth recordsTreatment effectsHealth systemCharacteristics of patientsRandomized clinical trial cohortsTrial participantsMetricsUnited StatesNovel statisticA flexible Bayesian g-formula for causal survival analyses with time-dependent confounding
Chen X, Hu L, Li F. A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding. Lifetime Data Analysis 2025, 31: 394-421. PMID: 40227517, DOI: 10.1007/s10985-025-09652-3.Peer-Reviewed Original ResearchConceptsG-formulaBalance scoresHealth system electronic health recordDiscrete survival dataTime-to-event outcomesPosterior sampling algorithmParametric g-formulaElectronic health recordsBayesian additive regression treesTime-varying treatmentsHypothetical intervention scenariosAdditive regression treesLongitudinal observational studyGeneral classModel misspecificationHealth recordsEmpirical performanceSampling algorithmObservational studySurvival dataIntervention scenariosScoresTreatment strategiesMisspecificationCausality analysisIdentification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study
Sumsion D, Davis E, Fernandes M, Wei R, Milde R, Veltink J, Kong W, Xiong Y, Rao S, Westover T, Petersen L, Turley N, Singh A, Buss S, Mukerji S, Zafar S, Das S, Moura V, Ghanta M, Gupta A, Kim J, Stone K, Mignot E, Hwang D, Trotti L, Clifford G, Katwa U, Thomas R, Westover M, Sun H. Identification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study. JMIR Medical Informatics 2025, 13: e64113. PMID: 40208662, PMCID: PMC12022513, DOI: 10.2196/64113.Peer-Reviewed Original ResearchConceptsElectronic health recordsNatural language processingICD codesHealth recordsMedical recordsArea under the receiver operating characteristic curveClinic visit notesGeneral hospital dataManual chart reviewLogistic regression modelsCause of hospital admissionDiagnosis of congestive heart failureVisit notesNatural language processing modelsAnalysis of medical recordsCongestive heart failureHospital dataHospital admissionLogistic regressionHospital sampleMachine learning modelsMedical Center dataOverall estimation errorRandom samplePrecision-recall curveLong-term mortality from imaging-diagnosed pulmonary embolism in women and men
Sosner E, Mathai B, Bordon A, Ye K, Moadel R, Haramati L, Lazarus M. Long-term mortality from imaging-diagnosed pulmonary embolism in women and men. Clinical Imaging 2025, 122: 110469. PMID: 40273669, DOI: 10.1016/j.clinimag.2025.110469.Peer-Reviewed Original ResearchConceptsElectronic health recordsOne-year mortalityIncreased one-year mortalityCox proportional hazards modelsCharlson Comorbidity IndexProportional hazards modelLong-term mortalityUrban academic medical centerNational Death IndexMortality of womenHazards modelAcademic medical centerStudy of adultsHigher hazard ratioHealth recordsDeath IndexHealth statusInclusion of ageImpact of PEHazard ratioRetrospective study of adultsMedical CenterRisk factorsComorbidity indexPulmonary embolismBeyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records
Yan C, Grabowska M, Thakkar R, Dickson A, Embí P, Feng Q, Denny J, Kerchberger V, Malin B, Wei W. Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records. Journal Of The American Medical Informatics Association 2025, 32: 1007-1014. PMID: 40156924, PMCID: PMC12089765, DOI: 10.1093/jamia/ocaf055.Peer-Reviewed Original ResearchConceptsElectronic health recordsSensorineural hearing lossHearing lossDiagnosis codesHealth recordsPhenotype risk scorePatient recordsClinical terminologyProstate cancerType 2 diabetes mellitusRisk scoreDementiaExpert reviewT2DMPHEMAPPhenotype patientsProstatePatientsCancerPositive casesPhecodesResearch reliabilityDiagnosisRecordsPhenotypeElectronic health record nudges to optimize guideline-directed medical therapy for heart failure
Fuery M, Clark K, Sikand N, Tabtabai S, Sen S, Wilson F, Desai N, Ahmad T, Samsky M. Electronic health record nudges to optimize guideline-directed medical therapy for heart failure. Heart Failure Reviews 2025, 30: 771-776. PMID: 40106122, DOI: 10.1007/s10741-025-10503-4.Peer-Reviewed Original ResearchConceptsElectronic health recordsClinical decision supportGuideline-directed medical therapyPotential of electronic health recordsElectronic health record systemsDiverse healthcare settingsGDMT adherenceCare qualityClinician workflowHealth recordsAlert contentHF careHealthcare settingsPatient careInformed treatment decisionsTargeted alertingQuality gapEnhanced usabilityImprove heart failureHeart failureDecision supportReal-timeCareTreatment decisionsAlerting strategyBenzodiazepine Initiation and the Risk of Falls or Fall-Related Injuries in Older Adults Following Acute Ischemic Stroke
Sun S, Lomachinsky V, Smith L, Newhouse J, Westover M, Blacker D, Schwamm L, Haneuse S, Moura L. Benzodiazepine Initiation and the Risk of Falls or Fall-Related Injuries in Older Adults Following Acute Ischemic Stroke. Neurology Clinical Practice 2025, 15: e200452. PMID: 40144887, PMCID: PMC11936338, DOI: 10.1212/cpj.0000000000200452.Peer-Reviewed Original ResearchFall-related injuriesRisk of fallsOlder adultsAcute ischemic strokeRisk differenceAcute ischemic stroke admissionsElectronic health recordsHypothetical randomized trialInverse probability weightingIschemic strokeRecovery periodHealth recordsBenzodiazepine initiationPoststroke periodConfounding biasImmortal timeMild strokeBenzodiazepine prescriptionsBZD useDay of admissionProbability weightingSubgroup analysisAnalyzed dataStrokeAdults
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