2021
Temporal relationship of computed and structured diagnoses in electronic health record data
Schulz WL, Young HP, Coppi A, Mortazavi BJ, Lin Z, Jean RA, Krumholz HM. Temporal relationship of computed and structured diagnoses in electronic health record data. BMC Medical Informatics And Decision Making 2021, 21: 61. PMID: 33596898, PMCID: PMC7890604, DOI: 10.1186/s12911-021-01416-x.Peer-Reviewed Original ResearchConceptsElectronic health recordsStructured diagnosisOutpatient blood pressureElectronic health record dataAcademic health systemLow-density lipoproteinHealth record dataBlood pressureStructured data elementsAdministrative claimsHypertensionClinical informationHyperlipidemiaClinical phenotypeEquivalent diagnosisVital signsHealth systemDiagnosisProblem listAdditional studiesHealth recordsRecord dataTimely accessEHR dataPatients
2020
Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND)
Schuemie MJ, Ryan PB, Pratt N, Chen R, You SC, Krumholz HM, Madigan D, Hripcsak G, Suchard MA. Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND). Journal Of The American Medical Informatics Association 2020, 27: 1331-1337. PMID: 32909033, PMCID: PMC7481029, DOI: 10.1093/jamia/ocaa103.Peer-Reviewed Original ResearchConceptsNetwork of databasesLarge-scale Evidence GenerationObservational Health Data SciencesObservational health care databasesHealth Data SciencesHealth care dataElectronic health recordsData sciencePublication biasPatient-level informationGeneric overviewHealth recordsMethods addressAforementioned concernsHealth care databasesAnalytic codeNetworkNew paradigmSuch dataHackingEvidence generationDissemination of evidenceHypertension treatmentResidual confoundingAdministrative claims
2017
Identification of Emergency Department Visits in Medicare Administrative Claims: Approaches and Implications
Venkatesh AK, Mei H, Kocher KE, Granovsky M, Obermeyer Z, Spatz E, Rothenberg C, Krumholz H, Lin Z. Identification of Emergency Department Visits in Medicare Administrative Claims: Approaches and Implications. Academic Emergency Medicine 2017, 24: 422-431. PMID: 27864915, PMCID: PMC5905698, DOI: 10.1111/acem.13140.Peer-Reviewed Original ResearchConceptsED visitsEmergency department visitsClaims-based definitionED visitationAdministrative claimsDepartment visitsClaims dataAdministrative claims data setsHealthcare resource utilizationMore ED visitsAcute care practiceAdministrative claims dataQuality improvement interventionsEmergency care researchMedicare administrative claimsClaims data setsED useCritical careED servicesMedicare feeMedicare dataCare practicesService beneficiariesImprovement interventionsProvider definitions
2011
Development, validation, and results of a measure of 30‐day readmission following hospitalization for pneumonia
Lindenauer PK, Normand S, Drye EE, Lin Z, Goodrich K, Desai MM, Bratzler DW, O'Donnell WJ, Metersky ML, Krumholz HM. Development, validation, and results of a measure of 30‐day readmission following hospitalization for pneumonia. Journal Of Hospital Medicine 2011, 6: 142-150. PMID: 21387551, DOI: 10.1002/jhm.890.Peer-Reviewed Original ResearchConceptsHospital readmission ratesReadmission ratesOdds of readmissionRetrospective cohort studyMedical record reviewPrincipal discharge diagnosisDays of treatmentElderly patientsHospital dischargeCohort studyRecord reviewDischarge diagnosisUnadjusted ratesOutpatient MedicareMedical recordsAdministrative claimsMedicare beneficiariesReadmissionPneumoniaRisk-standardized hospital readmission ratesHospital
2010
Cumulative Exposure to Ionizing Radiation From Diagnostic and Therapeutic Cardiac Imaging Procedures A Population-Based Analysis
Chen J, Einstein AJ, Fazel R, Krumholz HM, Wang Y, Ross JS, Ting HH, Shah ND, Nasir K, Nallamothu BK. Cumulative Exposure to Ionizing Radiation From Diagnostic and Therapeutic Cardiac Imaging Procedures A Population-Based Analysis. Journal Of The American College Of Cardiology 2010, 56: 702-711. PMID: 20619569, PMCID: PMC2952402, DOI: 10.1016/j.jacc.2010.05.014.Peer-Reviewed Original ResearchConceptsCardiac imaging proceduresCumulative effective doseMSv/yearEffective dosesImaging proceduresEffective doseRadiation exposureGeneral populationAnnual population-based ratesCardiac computed tomography (CT) studiesMean cumulative effective dosePopulation-based annual rateCumulative effective dosesMyocardial perfusion imagingComputed tomography studyPopulation-based ratesSubstantial radiation exposureCumulative dosesAdministrative claimsMyocardial perfusionPhysician's officeCumulative exposurePerfusion imagingPatientsTomography studyHospital Volume and 30-Day Mortality for Three Common Medical Conditions
Ross JS, Normand SL, Wang Y, Ko DT, Chen J, Drye EE, Keenan PS, Lichtman JH, Bueno H, Schreiner GC, Krumholz HM. Hospital Volume and 30-Day Mortality for Three Common Medical Conditions. New England Journal Of Medicine 2010, 362: 1110-1118. PMID: 20335587, PMCID: PMC2880468, DOI: 10.1056/nejmsa0907130.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHospital volumeHeart failureMyocardial infarctionVolume thresholdRisk factorsAnnual hospital volumeHigh-volume hospitalsPatient risk factorsOdds of deathCommon medical conditionsAcute care hospitalsMedicare administrative claimsHierarchical logistic regression modelsCross-sectional analysisLogistic regression modelsCare hospitalHospital characteristicsReduced oddsMedical conditionsAdministrative claimsInfarctionPatientsPneumoniaService beneficiaries
2006
The effect of age and chronic illness on life expectancy after a diagnosis of colorectal cancer: implications for screening.
Gross CP, McAvay GJ, Krumholz HM, Paltiel AD, Bhasin D, Tinetti ME. The effect of age and chronic illness on life expectancy after a diagnosis of colorectal cancer: implications for screening. Annals Of Internal Medicine 2006, 145: 646-53. PMID: 17088577, DOI: 10.7326/0003-4819-145-9-200611070-00006.Peer-Reviewed Original ResearchConceptsChronic illnessColorectal cancerChronic conditionsLife expectancyCancer stageEarly-stage colorectal cancerPopulation-based cancer registriesPatients 67 yearsRetrospective cohort studyStage I cancerAdministrative claims dataChronic condition groupsFinal study sampleYears of ageShort life expectancyCohort studyEffect of agePatient ageI cancerCancer RegistryCancer variesHealthy patientsIndividual patientsMedicare claimsAdministrative claims