2024
Trustworthy and ethical AI-enabled cardiovascular care: a rapid review
Mooghali M, Stroud A, Yoo D, Barry B, Grimshaw A, Ross J, Zhu X, Miller J. Trustworthy and ethical AI-enabled cardiovascular care: a rapid review. BMC Medical Informatics And Decision Making 2024, 24: 247. PMID: 39232725, PMCID: PMC11373417, DOI: 10.1186/s12911-024-02653-6.Peer-Reviewed Original ResearchConceptsHealthcare provider perspectiveRisk of patient harmCardiovascular careProvider perspectiveAI-based medical devicesPatient harmLoss of patient autonomyLack of robust evidenceTrust barriersHealthcare inequalitiesImprove careHealthcare providersCitation chasingPerceived lack of transparencyHealthcare existPatient careEthical concernsIntegration of AIPatient autonomyPatient interestLiterature reviewPerceived lackPractice guidelinesCareStudy designThe National Healthcare Safety Network’s digital quality measures: CDC’s automated measures for surveillance of patient safety
Shehab N, Alschuler L, McILvenna S, Gonzaga Z, Laing A, deRoode D, Dantes R, Betz K, Zheng S, Abner S, Stutler E, Geimer R, Benin A. The National Healthcare Safety Network’s digital quality measures: CDC’s automated measures for surveillance of patient safety. Journal Of The American Medical Informatics Association 2024, 31: 1199-1205. PMID: 38563821, PMCID: PMC11031211, DOI: 10.1093/jamia/ocae064.Peer-Reviewed Original ResearchConceptsNational Healthcare Safety NetworkFast Healthcare Interoperability ResourcesPublic health surveillancePatient safetyHealth surveillanceHealthcare facility-onset Clostridioides difficile infectionPrevent patient harmQuality measuresBurden of reportingImprove data collectionPatient harmInteroperability ResourcesPublic healthSafety NetworkHealthData collectionValidity of dataClostridioides difficile infectionVenous thromboembolismCollaborative programSurveillanceNationalHealthcareHarmIncreasing speedVariation in the Guidelines for the Acute Management of Anaphylaxis in Pediatric Patients
Athanasopoulou S, Leeds S, Auerbach M. Variation in the Guidelines for the Acute Management of Anaphylaxis in Pediatric Patients. Pediatric Emergency Care 2024, 40: 233-238. PMID: 37358800, DOI: 10.1097/pec.0000000000003003.Peer-Reviewed Original ResearchConceptsPatient harmManagement of anaphylaxisMitigate patient harmEmergency medicine organizationsPediatric patientsNarrative reviewCare of pediatric patientsEvidence-based guidelinesReview of guidelinesNational health organizationsAcute managementGrey literature reviewClinical pathwayReview guidelinesResuscitation CouncilConsensus-based approachMedicine organizationsPrevent errorsHarmonization of guidelinesRate of infusionHealth OrganizationClinical practiceDosing recommendationsPeer reviewPediatric populationDiagnostic Errors in Hospitalized Adults Who Died or Were Transferred to Intensive Care
Auerbach A, Lee T, Hubbard C, Ranji S, Raffel K, Valdes G, Boscardin J, Dalal A, Harris A, Flynn E, Schnipper J, Feinbloom D, Roy B, Herzig S, Wazir M, Gershanik E, Goyal A, Chitneni P, Burney S, Galinsky J, Rastegar S, Moore D, Berdahl C, Seferian E, Suri K, Ramishvili T, Vedamurthy D, Hunt D, Mehta A, Katakam H, Field S, Karatasakis B, Beeler K, Himmel A, Eid S, Gandhi S, Pena I, Ranta Z, Lipten S, Lucier D, Walker-Corkery B, Kleinman Sween J, Kirchoff R, Rieck K, Kolar G, Parikh R, Burton C, Dugani C, Dapaah-Afriyie K, Finn A, Raju S, Surani A, Segon A, Bhandari S, Astik G, O’Leary K, Helminski A, Anstey J, Zhou M, Alday A, Halvorson S, Esmaili A, Barish P, Fenton C, Kantor M, Choi K, Schram A, Ruhnke G, Patel H, Virapongse A, Burden M, Ngov L, Keniston A, Talari P, Romond J, Vick S, Williams M, Marr R, Gupta A, Rohde J, Mao F, Fang M, Greysen S, Shah P, Kim C, Narayanan M, Wolpaw B, Ellingson S, Kaiksow F, Kenik J, Sterken D, Lewis M, Manwani B, Ledford R, Webber C, Vasilevskis E, Buckley R, Kripalani S, Sankey C, Ostfeld-Johns S, Gielissen K, Wijesekera T, Jordan E, Karwa A, Churnet B, Chia D, Brooks K. Diagnostic Errors in Hospitalized Adults Who Died or Were Transferred to Intensive Care. JAMA Internal Medicine 2024, 184: 164-173. PMID: 38190122, PMCID: PMC10775080, DOI: 10.1001/jamainternmed.2023.7347.Peer-Reviewed Original ResearchConceptsPatient harmIntensive care unitHospitalized adultsDiagnostic errorsAssociated with patient harmCohort studyMultivariate modelRandom sample of adultsAcademic medical centerSample of adultsDiagnostic error reductionTemporary harmGeneral medical conditionsAttributable fractionRetrospective cohort studyMain OutcomesMedical inpatientsTest orderingPermanent harmTrained cliniciansImprovement effortsMedical conditionsClinician assessmentMedical CenterPatient recordsNew Federal Guidance Makes It Harder for Patients With Cancer to Access Drugs
Mullangi S, Jain A, Wilfong L, Schleicher S. New Federal Guidance Makes It Harder for Patients With Cancer to Access Drugs. JCO Oncology Practice 2024, 20: 610-613. PMID: 38290088, DOI: 10.1200/op.23.00691.Peer-Reviewed Original Research
2022
Early Reexploration for Bleeding Is Associated With Improved Outcome in Cardiac Surgery
Shou BL, Aravind P, Ong CS, Alejo D, Canner JK, Etchill EW, DiNatale J, Prokupets R, Esfandiary T, Lawton JS, Schena S. Early Reexploration for Bleeding Is Associated With Improved Outcome in Cardiac Surgery. The Annals Of Thoracic Surgery 2022, 115: 232-239. PMID: 35952856, DOI: 10.1016/j.athoracsur.2022.07.037.Peer-Reviewed Original ResearchConceptsCardiac surgeryActive bleedingAdult cardiac surgery patientsSingle-institution retrospective reviewMultivariable logistic regression modelCardiac surgery patientsEarly surgical interventionRisk-adjusted analysisLogistic regression modelsEarly reexplorationEligible patientsPostoperative bleedingNonoperative managementSurgery patientsRetrospective reviewUnivariable analysisMorbidity rateSurgical interventionCommon siteMediastinal structuresReexplorationKruskal-Wallis testMortality rateBleedingPatient harmRoom of Hazards: A Comparison of Differences in Safety Hazard Recognition Among Various Hospital-Based Healthcare Professionals and Trainees in a Simulated Patient Room
Wang M, Banda B, Rodwin BA, Merchant NB. Room of Hazards: A Comparison of Differences in Safety Hazard Recognition Among Various Hospital-Based Healthcare Professionals and Trainees in a Simulated Patient Room. Journal Of Patient Safety 2022, 18: 624-629. PMID: 35587392, DOI: 10.1097/pts.0000000000001043.Peer-Reviewed Original ResearchConceptsHospital-based healthcare professionalsPatient roomsHealthcare professionalsAdverse eventsHealthcare workersStaff membersHealthcare membersPatient harmNursesPhysiciansSafety hazards identificationComparison of differencesFuture studiesNonparametric statistical analysisTrainees' skillsMore hazardsHazard identificationParticipantsPrevious studiesStatistical analysisProfessionalsDifferent professionsHospitalDifferencesStudyHeart Failure Spending Function: An Investment Framework for Sequencing and Intensification of Guideline-Directed Medical Therapies
Allen LA, Teerlink JR, Gottlieb SS, Ahmad T, Lam CSP, Psotka MA. Heart Failure Spending Function: An Investment Framework for Sequencing and Intensification of Guideline-Directed Medical Therapies. Circulation Heart Failure 2022, 15: e008594. PMID: 35000432, DOI: 10.1161/circheartfailure.121.008594.Peer-Reviewed Original ResearchConceptsGuideline-directed medical therapyMedical therapyReduced ejection fractionHealth care delivery researchAdverse eventsCardiac benefitsSerum creatinineBlood pressureEjection fractionHeart failureRoutine carePatient burdenHeart rateNew therapiesPatient harmHigh dosesPatientsPsychosocial domainsPocket costsTherapeutic opportunitiesClinical useTherapyNew drugsPhysiological domainsSpending function
2020
Pragmatic approach to neuraxial anesthesia in obstetric patients with disorders of the vertebral column, spinal cord and neuromuscular system
Walsh E, Zhang Y, Madden H, Lehrich J, Leffert L. Pragmatic approach to neuraxial anesthesia in obstetric patients with disorders of the vertebral column, spinal cord and neuromuscular system. Regional Anesthesia & Pain Medicine 2020, 46: 258-267. PMID: 33115718, DOI: 10.1136/rapm-2020-101792.Peer-Reviewed Original ResearchConceptsNeuraxial anesthesiaObstetric patientsSpinal cordCesarean delivery anesthesiaCesarean deliveryLabor analgesiaNeuraxial analgesiaVertebral columnCase seriesGeneral anesthesiaObstetrical patientsRetrospective studyDelivery anesthesiaPatient injuryAnesthesiaPatient harmPatientsNarrative reviewAvailable evidenceUnwarranted fearsNeuromuscular systemAdditional riskPresent unique challengesAnalgesiaCordA Manufacturer and User Facility Device Experience Analysis of Upper Aerodigestive Endoscopy Contamination: Is Flexible Laryngoscopy Different?
Jiang R, Kasle DA, Alzahrani F, Kohli N, Lerner MZ. A Manufacturer and User Facility Device Experience Analysis of Upper Aerodigestive Endoscopy Contamination: Is Flexible Laryngoscopy Different? The Laryngoscope 2020, 131: 598-605. PMID: 32558941, DOI: 10.1002/lary.28826.Peer-Reviewed Original ResearchActive Surveillance of the Implantable Cardioverter-Defibrillator Registry for Defibrillator Lead Failures
Resnic F, Majithia A, Dhruva S, Ssemaganda H, Robbins S, Marinac-Dabic D, Hewitt K, Ohno-Machado L, Reynolds M, Matheny M. Active Surveillance of the Implantable Cardioverter-Defibrillator Registry for Defibrillator Lead Failures. Circulation Cardiovascular Quality And Outcomes 2020, 13: e006105. PMID: 32283971, PMCID: PMC7360169, DOI: 10.1161/circoutcomes.119.006105.Peer-Reviewed Original ResearchConceptsICD RegistryLead failureActive surveillanceNational Cardiovascular Data Registry ICD RegistryImplantable Cardioverter-Defibrillator RegistryPrimary safety end pointPropensity-matched survival analysisRate of freedomSafety end pointLead failure rateLong-term safetySignificant patient harmDefibrillator lead failureEarly lead failureMonitoring of safetyComparator patientsContemporary ICDLead survivalMeaningful differencesOutcome ascertainmentFailure rateNew ICDPatient harmPatientsSurvival analysis
2018
Reducing Unplanned Extubations Across a Children’s Hospital Using Quality Improvement Methods
Kandil SB, Emerson BL, Hooper M, Ciaburri R, Bruno CJ, Cummins N, DeFilippo V, Blazevich B, Loth A, Grossman M. Reducing Unplanned Extubations Across a Children’s Hospital Using Quality Improvement Methods. Pediatric Quality And Safety 2018, 3: e114. PMID: 31334446, PMCID: PMC6581473, DOI: 10.1097/pq9.0000000000000114.Peer-Reviewed Original ResearchRate of UEIntensive care unitUnplanned extubationVentilator daysQuality improvement methodologyNational benchmarksPediatric intensive care unitNeonatal intensive care unitStudy-Act cyclesSignificant patient harmUnintended dislodgementsCritical illnessCare unitChildren's HospitalEndotracheal tubeHigh-risk situationsPatient harmQuality improvement methodsImprovement methodologyET tubeStudy periodExtubationHospitalDaysSafety cultureNeonatal Intubation Competency Assessment Tool: Development and Validation
Johnston L, Sawyer T, Nishisaki A, Whitfill T, Ades A, French H, Glass K, Dadiz R, Bruno C, Levit O, Gangadharan S, Scherzer D, Moussa A, Auerbach M, Network I. Neonatal Intubation Competency Assessment Tool: Development and Validation. Academic Pediatrics 2018, 19: 157-164. PMID: 30103050, DOI: 10.1016/j.acap.2018.07.008.Peer-Reviewed Original ResearchConceptsCompetency assessment toolNeonatal tracheal intubationsGlobal skills assessmentEPA levelsChecklist scoresCormack-Lehane scoreAssessment toolHealth care providersImportant clinical skillTracheal intubationGlottic exposureNeonatal simulatorCare providersGood internal consistencyPatient harmBlinded reviewersDelphi processActivity levelsSimulation-based trainingClinical skillsScoresInternal consistencyChecklist itemsFinal toolSkills assessmentChallenges in Communication from Referring Clinicians to Pathologists in the Electronic Health Record Era
Barbieri AL, Fadare O, Fan L, Singh H, Parkash V. Challenges in Communication from Referring Clinicians to Pathologists in the Electronic Health Record Era. Journal Of Pathology Informatics 2018, 9: 8. PMID: 29692945, PMCID: PMC5896165, DOI: 10.4103/jpi.jpi_70_17.Peer-Reviewed Original Research
2015
Predictors of warfarin‐associated adverse events in hospitalized patients: Opportunities to prevent patient harm
Metersky ML, Eldridge N, Wang Y, Jaser L, Bona R, Eckenrode S, Bakullari A, Andrawis M, Classen D, Krumholz HM. Predictors of warfarin‐associated adverse events in hospitalized patients: Opportunities to prevent patient harm. Journal Of Hospital Medicine 2015, 11: 276-282. PMID: 26662851, DOI: 10.1002/jhm.2528.Peer-Reviewed Original ResearchConceptsAdverse eventsWarfarin-related adverse eventsHospitalized patientsOdds ratioINR monitoringPneumonia patientsINR measurementsFrequent INR monitoringPredictors of warfarinRetrospective cohort studyAcute cardiac diseaseAcute care hospitalsFrequency of warfarinCohort studyCare hospitalSurgical patientsCardiac patientsCardiac diseasePatientsPatient harmWarfarinSignificant associationINRMore daysMonitoring System dataLearning through simulated independent practice leads to better future performance in a simulated crisis than learning through simulated supervised practice †
Goldberg A, Silverman E, Samuelson S, Katz D, Lin H, Levine A, DeMaria S. Learning through simulated independent practice leads to better future performance in a simulated crisis than learning through simulated supervised practice †. British Journal Of Anaesthesia 2015, 114: 794-800. PMID: 25571933, DOI: 10.1093/bja/aeu457.Peer-Reviewed Original ResearchConceptsSimulation-based learningNon-technical skillsPatient harmIndependent practiceRare intraoperative eventsObserver-blinded designAdequate oxygen deliveryResident performanceANTS scoresSupervision groupSimulated crisisEducational adjunctSimulation laboratoryClinical practiceIntraoperative eventsOxygen deliveryProper treatmentAttending anaesthetistResidentsNegative outcomesParticipantsHarm
2012
Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records
Liu M, Hinz E, Matheny M, Denny J, Schildcrout J, Miller R, Xu H. Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records. Journal Of The American Medical Informatics Association 2012, 20: 420-426. PMID: 23161894, PMCID: PMC3628053, DOI: 10.1136/amiajnl-2012-001119.Peer-Reviewed Original ResearchConceptsAdverse drug reactionsElectronic medical recordsProportional reporting ratioVanderbilt University Medical CenterSpontaneous reporting systemDrug-event pairsDrug reactionsMedical recordsMedication ordersAbnormal laboratory resultsDrug-exposed groupNew adverse drug reactionsUniversity Medical CenterSpecific drug administrationReference standardLaboratory resultsUnexposed groupGamma Poisson ShrinkerMedical CenterPatient harmDrug AdministrationPharmacovigilance measuresBayesian confidence propagation neural networkEarly detectionReporting ratioDetecting Adverse Drug Reactions using Inpatient Medication Orders and Laboratory Tests Data
Liu M, Matheny M, Wu Y, Hinz E, Denny J, Schildcrout J, Miller R, Xu H. Detecting Adverse Drug Reactions using Inpatient Medication Orders and Laboratory Tests Data. 2012, 1: 131-131. DOI: 10.1109/hisb.2012.56.Peer-Reviewed Original ResearchAdverse drug reactionsElectronic medical recordsSpontaneous reporting systemProportional reporting ratioDrug reactionsMedication ordersDrug ordersInpatient medication ordersAbnormal laboratory resultsTime of admissionDrug-exposed groupChi-square testLaboratory resultsGamma Poisson ShrinkerUnexposed groupMedical recordsOdds ratioMedication safetyPatient harmBayesian confidence propagation neural networkEarly detectionReporting ratioEMR dataDay zeroReporting system
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