2020
Extracting 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 notes
2019
Measuring Exposure to Incarceration Using the Electronic Health Record
Wang EA, Long JB, McGinnis KA, Wang KH, Wildeman CJ, Kim C, Bucklen KB, Fiellin DA, Bates J, Brandt C, Justice AC. Measuring Exposure to Incarceration Using the Electronic Health Record. Medical Care 2019, 57: s157-s163. PMID: 31095055, PMCID: PMC8352066, DOI: 10.1097/mlr.0000000000001049.Peer-Reviewed Original ResearchMeSH KeywordsAdministrative Claims, HealthcareAdultCohort StudiesElectronic Health RecordsEthnicityFemaleHumansInformation Storage and RetrievalMaleMedicareMiddle AgedNatural Language ProcessingPrisonersSelf ReportSensitivity and SpecificityUnited StatesUnited States Department of Veterans AffairsVeteransConceptsVeterans Aging Cohort StudyElectronic health recordsHuman immunodeficiency virus-infected patientsVHA electronic health recordsNational observational cohortVirus-infected patientsHealth recordsAging Cohort StudyEHR dataHealth care disparitiesAdministrative dataRace/ethnicityIncarceration exposureObservational cohortUninfected patientsCohort studySpecificity 99.3DATA SOURCESCare disparitiesSpecificity 100Specificity 98.9Social determinantsMedicaid ServicesSpecificity 95.9Health information
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 systemRepresentationClassifierSemanticsSystemArchitectureRetrievalExtractionSyntaxExtension
2010
A comparison of two approaches to text processing: facilitating chart reviews of radiology reports in electronic medical records.
Womack JA, Scotch M, Gibert C, Chapman W, Yin M, Justice AC, Brandt C. A comparison of two approaches to text processing: facilitating chart reviews of radiology reports in electronic medical records. Perspectives In Health Information Management Is 2010, 7: 1a. PMID: 21063542, PMCID: PMC2966352.Peer-Reviewed Original Research