2024
The Feasibility and Acceptability of a Clinical Pharmacist-delivered Intervention to Reduce Bothersome Health Symptoms from Polypharmacy and Alcohol Use and Communicate Risk among People with HIV: Pilot Study Protocol
Womack J, Leblanc M, Sager A, Zaets L, Maisto S, Garcia A, Aoun-Barakat L, Brown S, Edelman E, Fiellin D, Fisher J, Fraenkel L, Kidwai-Khan F, Marconi V, Martino S, Pulk R, Satre D, Virata M, Justice A, Hsieh E. The Feasibility and Acceptability of a Clinical Pharmacist-delivered Intervention to Reduce Bothersome Health Symptoms from Polypharmacy and Alcohol Use and Communicate Risk among People with HIV: Pilot Study Protocol. AIDS And Behavior 2024, 1-15. PMID: 39465468, DOI: 10.1007/s10461-024-04533-6.Peer-Reviewed Original ResearchUnhealthy alcohol useAlcohol usePharmacist-delivered interventionVeterans Aging Cohort StudyPilot study protocolStudy protocolElectronic health recordsSupport behavior changePre-test/post-test designAging Cohort StudySelf-administered surveyAlcohol use disorderAlcohol Research CenterBothersome symptomsPre-test/post-testCommunicating riskHealth recordsLong-term medicationHealth symptomsCounseling interventionCounseling sessionsSessions 2 weeksQualitative interviewsAlcohol consumptionUse disorderBoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans.
Fodeh S, Wang R, Murphy T, Kidwai-Khan F, Leo-Summers L, Tessier-Sherman B, Hsieh E, Womack J. BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans. Health Informatics Journal 2024, 30: 14604582241295930. PMID: 39526751, DOI: 10.1177/14604582241295930.Peer-Reviewed Original ResearchConceptsT-score valuesT-scoreNLP algorithmsDXA scansFemoral neck T-scoreNatural language processing algorithmsBone mineral density dataLanguage processing algorithmsBone mineral densityExtract annotationsRegular expressionsTest dataProcessing algorithmsDXA reportsMineral densityAlgorithmMultivariate linear regressionClinical face validityRisk factorsPresence of informationDXANLPClinical validationClinical expertsAccuracyIdentification of hepatic steatosis among persons with and without HIV using natural language processing
Torgersen J, Skanderson M, Kidwai-Khan F, Carbonari D, Tate J, Park L, Bhattacharya D, Lim J, Taddei T, Justice A, Re V. Identification of hepatic steatosis among persons with and without HIV using natural language processing. Hepatology Communications 2024, 8: e0468. PMID: 38896066, PMCID: PMC11186806, DOI: 10.1097/hc9.0000000000000468.Peer-Reviewed Original ResearchConceptsImaging ReportingSteatotic liver diseaseHIV statusHepatic steatosisPrevalence of metabolic comorbiditiesImaging studiesVeterans Aging Cohort StudyCompare patient characteristicsPositive predictive valueAlcohol use disorderAging Cohort StudyIdentification of hepatic steatosisHIV infectionHepatitis BMetabolic comorbiditiesNatural language processing algorithmsRadiological studiesCohort studyPatient characteristicsClinical reviewLiver diseaseHIVPredictive valueUse disorderClinical image reportsA roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness
Kidwai-Khan F, Wang R, Skanderson M, Brandt C, Fodeh S, Womack J. A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness. Journal Of Biomedical Informatics 2024, 154: 104654. PMID: 38740316, PMCID: PMC11144439, DOI: 10.1016/j.jbi.2024.104654.Peer-Reviewed Original ResearchArtificial intelligenceMachine learningNatural language processing techniquesRaw dataLife cycle of dataLanguage processing techniquesInput dataApplication of artificial intelligenceArtificial intelligence processesMachine learning algorithmsTransform raw dataNatural language processing algorithmsArtificial intelligence methodsApplication of AILanguage processing algorithmsLearning algorithmsIntelligent processingError rateIntelligence methodsData governanceProcessing algorithmsData expertiseAlgorithmic biasElectronic health record dataData frameworks
2022
Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care
Kidwai-Khan F, Rentsch C, Pulk R, Alcorn C, Brandt C, Justice A. Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care. Frontiers In Big Data 2022, 5: 1059088. PMID: 36458283, PMCID: PMC9705957, DOI: 10.3389/fdata.2022.1059088.Peer-Reviewed Original ResearchK-Nearest NeighborSupport vector machinePreventable adverse eventsDecision support mechanismAdverse eventsCurrent medicationsExtreme gradient boostingPredictive modelingSoftware interfaceMachine learningVeterans AffairsData integrationF1 scoreLarge integrated healthcare systemNearest NeighborPatient's current medicationsVector machineOutpatient clinic visitsRandom forestDecision treeGradient boostingAUC scoreComplex treatment decisionsEHR dataIntegrated healthcare system
2021
HIV care using differentiated service delivery during the COVID‐19 pandemic: a nationwide cohort study in the US Department of Veterans Affairs
McGinnis KA, Skanderson M, Justice AC, Akgün KM, Tate JP, King JT, Rentsch CT, Marconi VC, Hsieh E, Ruser C, Kidwai‐Khan F, Yousefzadeh R, Erdos J, Park LS. HIV care using differentiated service delivery during the COVID‐19 pandemic: a nationwide cohort study in the US Department of Veterans Affairs. Journal Of The International AIDS Society 2021, 24: e25810. PMID: 34713585, PMCID: PMC8554215, DOI: 10.1002/jia2.25810.Peer-Reviewed Original ResearchConceptsVeterans AffairsClinic visitsCohort studyVL testARV coverageCOVID-19 pandemicVeterans Aging Cohort StudyHIV healthcare deliveryNationwide cohort studyAging Cohort StudyViral load testsDifferentiated service deliveryHealthcare deliveryHIV careMost patientsPharmacy recordsVL testingCalendar periodHealthcare encountersOverall healthARVVirtual healthcareVirtual visitsVisitsService deliveryEarly initiation of prophylactic anticoagulation for prevention of coronavirus disease 2019 mortality in patients admitted to hospital in the United States: cohort study
Rentsch CT, Beckman JA, Tomlinson L, Gellad WF, Alcorn C, Kidwai-Khan F, Skanderson M, Brittain E, King JT, Ho YL, Eden S, Kundu S, Lann MF, Greevy RA, Ho PM, Heidenreich PA, Jacobson DA, Douglas IJ, Tate JP, Evans SJW, Atkins D, Justice AC, Freiberg MS. Early initiation of prophylactic anticoagulation for prevention of coronavirus disease 2019 mortality in patients admitted to hospital in the United States: cohort study. The BMJ 2021, 372: n311. PMID: 33574135, PMCID: PMC7876672, DOI: 10.1136/bmj.n311.Peer-Reviewed Original ResearchConceptsProphylactic anticoagulationDay mortalityEarly initiationTherapeutic anticoagulationCohort studyInpatient mortalityHospital admissionAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionCoronavirus disease 2019 (COVID-19) mortalitySyndrome coronavirus 2 infectionCOVID-19History of anticoagulationSerious bleeding eventsCoronavirus 2 infectionHours of admissionObservational cohort studyRisk of deathCoronavirus disease 2019Real-world evidenceBleeding eventsSubcutaneous heparinHospital stayNationwide cohortCumulative incidence
2020
Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index
King JT, Yoon JS, Rentsch CT, Tate JP, Park LS, Kidwai-Khan F, Skanderson M, Hauser RG, Jacobson DA, Erdos J, Cho K, Ramoni R, Gagnon DR, Justice AC. Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index. PLOS ONE 2020, 15: e0241825. PMID: 33175863, PMCID: PMC7657526, DOI: 10.1371/journal.pone.0241825.Peer-Reviewed Original ResearchConceptsCharlson Comorbidity IndexVeterans Health AdministrationVACO IndexValidation cohortMedical administrative dataDevelopment cohortSARS-CoV-2 testing resultsMortality indexICD-10 diagnosis codesUS Veterans Health AdministrationSARS-CoV-2 infectionPre-existing medical conditionsCOVID-19 mortality riskPeripheral vascular diseaseCOVID-19 patientsCOVID-19 infectionCOVID-19 mortalitySARS-CoV-2Administrative dataLogistic regression modelsRace/ethnicityCohort subgroupsComorbidity indexOverall mortalityComorbid conditionsCovid-19 Testing, Hospital Admission, and Intensive Care Among 2,026,227 United States Veterans Aged 54-75 Years.
Rentsch CT, Kidwai-Khan F, Tate JP, Park LS, King JT Jr, Skanderson M, Hauser RG, Schultze A, Jarvis CI, Holodniy M, Re VL 3rd, Akgün KM, Crothers K, Taddei TH, Freiberg MS, Justice AC. Covid-19 Testing, Hospital Admission, and Intensive Care Among 2,026,227 United States Veterans Aged 54-75 Years. MedRxiv 2020 PMID: 32511595, DOI: 10.1101/2020.04.09.20059964.Peer-Reviewed Original ResearchExtracting lung function measurements to enhance phenotyping of chronic obstructive pulmonary disease (COPD) in an electronic health record using automated tools
Akgün KM, Sigel K, Cheung KH, Kidwai-Khan F, Bryant AK, Brandt C, Justice A, Crothers K. Extracting lung function measurements to enhance phenotyping of chronic obstructive pulmonary disease (COPD) in an electronic health record using automated tools. PLOS ONE 2020, 15: e0227730. PMID: 31945115, PMCID: PMC6964890, DOI: 10.1371/journal.pone.0227730.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesData MiningElectronic Health RecordsForced Expiratory VolumeHealth Information SystemsHospitalizationHumansLungNatural Language ProcessingPulmonary Disease, Chronic ObstructiveSeverity of Illness IndexSoftwareUnited StatesUnited States Department of Veterans AffairsVeteransVital CapacityConceptsChronic obstructive pulmonary diseaseVeterans Aging Cohort StudyObstructive pulmonary diseaseFEV1 valuesPulmonary diseasePhenotyping of patientsPulmonary function testsAging Cohort StudyLung function measurementsElectronic health record dataHealth record dataStructured electronic health record dataPositive predictive valueElectronic health recordsAirflow obstructionChart reviewCohort studyExpiratory volumeCOPD phenotypesFunction testsVital capacityFEV1 measurementsDATA SOURCESPredictive valueClinical notesDifferences in Pathology, Staging, and Treatment between HIV+ and Uninfected Patients with Microscopically Confirmed Hepatocellular Carcinoma
Torgersen J, Taddei TH, Park LS, Carbonari DM, Kallan MJ, Richards K, Zhang X, Jhala D, Bräu N, Homer R, D'Addeo K, Mehta R, Skanderson M, Kidwai-Khan F, Justice AC, Re V. Differences in Pathology, Staging, and Treatment between HIV+ and Uninfected Patients with Microscopically Confirmed Hepatocellular Carcinoma. Cancer Epidemiology Biomarkers & Prevention 2020, 29: 71-78. PMID: 31575557, PMCID: PMC6980754, DOI: 10.1158/1055-9965.epi-19-0503.Peer-Reviewed Original ResearchMeSH KeywordsAblation TechniquesCarcinoma, HepatocellularFemaleHepatectomyHIV InfectionsHospitals, VeteransHumansImmunologic SurveillanceKaplan-Meier EstimateLiverLiver CirrhosisLiver NeoplasmsLiver TransplantationMaleMiddle AgedNeoplasm StagingRetrospective StudiesRisk FactorsTreatment OutcomeUnited StatesConceptsBarcelona Clinic Liver Cancer stageHIV statusHepatocellular carcinomaUninfected patientsHIV infectionTumor characteristicsUninfected personsPathology reportsVeterans Aging Cohort StudyLiver tissue samplingCohort of HIVMultivariable Cox regressionAdvanced hepatic fibrosisAging Cohort StudyLiver Cancer stageRisk of deathBackground hepatic parenchymaCohort studyHazard ratioLymphovascular invasionBCLC stageImproved survivalCox regressionHistologic featuresHepatic fibrosis
2011
The Yale cTAKES extensions for document classification: architecture and application
Garla V, Re V, Dorey-Stein Z, Kidwai F, Scotch M, Womack J, Justice A, Brandt C. The Yale cTAKES extensions for document classification: architecture and application. Journal Of The American Medical Informatics Association 2011, 18: 614-620. PMID: 21622934, PMCID: PMC3168305, DOI: 10.1136/amiajnl-2011-000093.Peer-Reviewed Original ResearchConceptsDocument classificationFeature extractionProcessing systemKnowledge Extraction SystemDocument classification systemClinical Text AnalysisDocument classifierFeature representationRadiology reportsOpen sourceClinical textText analysisTechnical challengesClassificationExtraction systemClassification systemRepresentationClassifierSemanticsSystemArchitectureRetrievalExtractionSyntaxExtensionValidity of diagnostic codes and liver‐related laboratory abnormalities to identify hepatic decompensation events in the Veterans Aging Cohort Study
Re V, Lim JK, Goetz MB, Tate J, Bathulapalli H, Klein MB, Rimland D, Rodriguez‐Barradas M, Butt AA, Gibert CL, Brown ST, Kidwai F, Brandt C, Dorey‐Stein Z, Reddy KR, Justice AC. Validity of diagnostic codes and liver‐related laboratory abnormalities to identify hepatic decompensation events in the Veterans Aging Cohort Study. Pharmacoepidemiology And Drug Safety 2011, 20: 689-699. PMID: 21626605, PMCID: PMC3131229, DOI: 10.1002/pds.2148.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyHepatic decompensation eventsPositive predictive valueHigh positive predictive valueLaboratory abnormalitiesAging Cohort StudyDecompensation eventsDiagnostic codesCohort studyHepatic decompensationVariceal hemorrhageOutpatient diagnostic codesChronic liver diseaseSpontaneous bacterial peritonitisImpact of medicationLiver dysfunctionBacterial peritonitisLiver diseaseMedical recordsOutpatient codesPredictive valueNatural historyAbnormalitiesEpidemiologic researchPatients
2010
Reporting Suicide: Impact on Suicidal Behaviour
Kidwai F. Reporting Suicide: Impact on Suicidal Behaviour. 2010, 173-190. DOI: 10.4135/9788132107972.n9.Peer-Reviewed Original Research