2024
Information Disclosure, Medical Device Regulation, and Device Safety: The Case of Cook Celect IVC Filters.
Kadakia K, Bikdeli B, Gupta A, Dhruva S, Ross J, Krumholz H. Information Disclosure, Medical Device Regulation, and Device Safety: The Case of Cook Celect IVC Filters. Annals Of Internal Medicine 2024 PMID: 39556835, DOI: 10.7326/annals-24-00089.Peer-Reviewed Original ResearchMedical device regulationDetect adverse eventsDevice regulationInferior vena cavaPatient safetyFood and Drug AdministrationDevice safetyOutcome definitionsStudy protocolPatient deathClinical study protocolAdverse eventsProfessional societiesCourt documentsClinical practiceRegulatory reformCliniciansInferior vena cava perforationDevice labelingPrevention of pulmonary embolismPublished literaturePublic recordsInaccurate informationCelect IVC filtersMedical devices
2021
Sex Differences in Symptom Phenotypes Among Older Patients with Acute Myocardial Infarction
Brush JE, Hajduk AM, Greene EJ, Dreyer RP, Krumholz HM, Chaudhry SI. Sex Differences in Symptom Phenotypes Among Older Patients with Acute Myocardial Infarction. The American Journal Of Medicine 2021, 135: 342-349. PMID: 34715061, PMCID: PMC8901454, DOI: 10.1016/j.amjmed.2021.09.022.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionSymptom combinationsOlder patientsAcute myocardial infarction subgroupsAcute myocardial infarction admissionsMyocardial infarction subgroupsPatients 75 yearsMyocardial infarction admissionsSILVER-AMI StudySymptom phenotypeClinical studiesIndividual patientsMore symptomsPatientsInfarctionDiagnostic possibilitiesSymptomsWomenPerson interviewsMenCommon phenotypeSex differencesCliniciansPhenotype
2018
The digital transformation of medicine can revitalize the patient-clinician relationship
Warraich HJ, Califf RM, Krumholz HM. The digital transformation of medicine can revitalize the patient-clinician relationship. Npj Digital Medicine 2018, 1: 49. PMID: 31304328, PMCID: PMC6550259, DOI: 10.1038/s41746-018-0060-2.Peer-Reviewed Original ResearchDigital transformationPatient-clinician relationshipData securityElectronic health recordsAnalytics technologiesSpeech recognitionComputer technologyInformation technologyMundane tasksHealth recordsHealthcare technologiesMajority of patientsDelivery of healthcareClinical care teamDigital phenotypingLives of patientsTechnologyPrior iterationsCare teamHealthcarePatientsNew analytic technologiesHealth professionalsMedical careClinicians
2017
Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures
Mortazavi B, Desai N, Zhang J, Coppi A, Warner F, Krumholz H, Negahban S. Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures. IEEE Journal Of Biomedical And Health Informatics 2017, 21: 1719-1729. PMID: 28287993, DOI: 10.1109/jbhi.2017.2675340.Peer-Reviewed Original ResearchConceptsMajor cardiovascular proceduresElectronic health recordsRespiratory failureAdverse eventsCardiovascular proceduresYale-New Haven HospitalPostoperative respiratory failurePatient cohortHospital costsPatient outcomesSpecific patientPatientsHealth recordsCohort-specific modelsCharacteristic curveInfectionFailureHospitalCohortClinicians
2010
Telemonitoring in Patients with Heart Failure
Chaudhry SI, Mattera JA, Curtis JP, Spertus JA, Herrin J, Lin Z, Phillips CO, Hodshon BV, Cooper LS, Krumholz HM. Telemonitoring in Patients with Heart Failure. New England Journal Of Medicine 2010, 363: 2301-2309. PMID: 21080835, PMCID: PMC3237394, DOI: 10.1056/nejmoa1010029.Peer-Reviewed Original ResearchConceptsPrimary end pointUsual care groupSecondary end pointsHeart failureEnd pointHeart failure outcomesNumber of hospitalizationsTelephone-based interactive voice response systemUsual careAdverse eventsPatient's clinicianMedian ageCare groupLarge trialsInteractive voice response systemPatientsSmall studyVoice response systemNumber of daysHospitalizationReadmissionTelemonitoringSignificant differencesCliniciansDeath
2004
Management of implantable cardioverter defibrillators in end-of-life care.
Goldstein NE, Lampert R, Bradley E, Lynn J, Krumholz HM. Management of implantable cardioverter defibrillators in end-of-life care. Annals Of Internal Medicine 2004, 141: 835-8. PMID: 15583224, DOI: 10.7326/0003-4819-141-11-200412070-00006.Peer-Reviewed Original Research
2003
Improving diagnostic testing and reducing overuse of antibiotics for children with pharyngitis: a useful role for the electronic medical record
BENIN AL, VITKAUSKAS G, THORNQUIST E, SHIFFMAN RN, CONCATO J, KRUMHOLZ HM, SHAPIRO ED. Improving diagnostic testing and reducing overuse of antibiotics for children with pharyngitis: a useful role for the electronic medical record. The Pediatric Infectious Disease Journal 2003, 22: 1043-1047. PMID: 14688562, DOI: 10.1097/01.inf.0000100577.76542.af.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAnti-Bacterial AgentsChildChild, PreschoolDiagnostic Tests, RoutineDrug Resistance, MultipleDrug UtilizationElectronic Data ProcessingFemaleHumansLogistic ModelsMalePharyngitisProbabilityRegistriesRetrospective StudiesRisk AssessmentSensitivity and SpecificitySeverity of Illness IndexStatistics, NonparametricConceptsElectronic medical recordsOveruse of antibioticsDiagnostic testingMedical recordsEpisode of pharyngitisPediatric outpatient settingProportion of episodesOutpatient settingAntibiotic useScarlet feverPharyngitisChildren 3Diagnostic testsPatientsAntibioticsAppropriate useCliniciansWeeksEpisodesOveruseUseful rolePrescribingFeverClinicTesting
2001
A Qualitative Study of Increasing β-Blocker Use After Myocardial Infarction: Why Do Some Hospitals Succeed?
Bradley EH, Holmboe ES, Mattera JA, Roumanis SA, Radford MJ, Krumholz HM. A Qualitative Study of Increasing β-Blocker Use After Myocardial Infarction: Why Do Some Hospitals Succeed? JAMA 2001, 285: 2604-2611. PMID: 11368734, DOI: 10.1001/jama.285.20.2604.Peer-Reviewed Original ResearchConceptsBeta-blocker useAcute myocardial infarctionMyocardial infarctionΒ-blocker useStrong physician leadershipImprovement effortsUS hospitalsQualitative studyHospitalPatientsHospital sizeImprovement initiativesInfarctionKey physiciansGreater improvementPhysician leadershipCareAdministrative supportUse ratesPerformance improvement effortsData feedbackParticipantsGeographic regionsCliniciansMortality