2025
Detection of emergency department patients at risk of dementia through artificial intelligence
Cohen I, Taylor R, Xue H, Faustino I, Festa N, Brandt C, Gao E, Han L, Khasnavis S, Lai J, Mecca A, Sapre A, Young J, Zanchelli M, Hwang U. Detection of emergency department patients at risk of dementia through artificial intelligence. Alzheimer's & Dementia 2025, 21: e70334. PMID: 40457744, PMCID: PMC12130574, DOI: 10.1002/alz.70334.Peer-Reviewed Original ResearchConceptsElectronic health record dataHealth record dataEmergency departmentDetect dementiaDementia detectionYale New Haven HealthRecord dataRisk of dementiaEmergency department patientsBalance detection accuracyDementia algorithmsImprove patient outcomesCare coordinationCare transitionsDementia diagnosisReal-time applicationsClinical decision-makingClinician supportED usePatient safetyProbable dementiaMachine learning algorithmsED workflowED visitsED encountersEvaluating a train-the-trainer approach for implementing obstetric life support in diverse healthcare contexts throughout Arizona: a mixed methods protocol
Cunningham S, Carandang R, Wood L, Barry M, Baker P, Murphy M, Roth C, Becker L, Thomson B, Mosesso V, Vidosh J, Phelps J, Sutton B, Grady J, Annis-Brayne K, Shields A. Evaluating a train-the-trainer approach for implementing obstetric life support in diverse healthcare contexts throughout Arizona: a mixed methods protocol. BMC Health Services Research 2025, 25: 707. PMID: 40375088, PMCID: PMC12083141, DOI: 10.1186/s12913-025-12739-0.Peer-Reviewed Original ResearchConceptsHospital-based healthcare workersTrain-the-trainer approachBirth centersIn-hospital birth centerEmergency medical services agenciesFreestanding birth centerDiverse healthcare settingsMedical services agenciesLife supportDiverse healthcare contextsMaternal cardiac arrestSimulation-based curriculumMixed-methods studyMedical emergencyPrehospital contextHealthcare qualityPatient safetyReduce disparitiesMaternal morbidityHealth systemHealthcare settingsImplementation sitesHealthcare contextHealthcare workersNational stakeholdersIntimate Partner Violence
Dixe de Oliveira Santo I, Gosangi B, Khurana B. Intimate Partner Violence. 2025, 1-15. DOI: 10.1007/978-3-030-44092-3_63-1.Peer-Reviewed Original ResearchIntimate partner violenceComplexity of intimate partner violenceIntimate partner violence victimizationIPV detectionPervasive global issueOlder adultsPartner violenceIdentified intimate partner violenceTrauma-informed care principlesInjury patternsReporting requirementsRacial minoritiesAdvanced imaging techniquesRadiological findingsCare principlesPatient safetyCraniofacial injuriesIntervention yearThoracic injuriesMusculoskeletal traumaHigh riskSelf-reportVulnerable populationsCOVID-19 pandemicEconomic consequencesStrengthening Safeguards for Psychiatric Uses of Ketamine
Barnett B, Weiss R, Sanacora G. Strengthening Safeguards for Psychiatric Uses of Ketamine. JAMA Psychiatry 2025, 82: 333-334. PMID: 39937465, DOI: 10.1001/jamapsychiatry.2024.4787.Peer-Reviewed Original ResearchPatient safetyPsychiatric usePatient safety as a measure of resilience in US hospitals: central line-associated bloodstream infections, July 2020 through June 2021
Sapiano M, Dudeck M, Patel P, Binder A, Kofman A, Kuhar D, Pillai S, Stuckey M, Edwards J, Benin A. Patient safety as a measure of resilience in US hospitals: central line-associated bloodstream infections, July 2020 through June 2021. Infection Control And Hospital Epidemiology 2025, 46: 341-347. PMID: 39948082, DOI: 10.1017/ice.2024.167.Peer-Reviewed Original ResearchPatient safetyCentral line daysStaff shortagesUS hospitalsAcute care hospitalsCenters for Disease Control and Prevention's National Healthcare Safety NetworkLine daysNational Healthcare Safety NetworkCentral line-associated bloodstream infectionsLine-associated bloodstream infectionsRate of CLABSICOVID-19 pandemicSafe careStaffing shortagesHospital characteristicsPatient careMeasures of resilienceHealthcare systemCare hospitalMeasure stressorsDevelopment of policiesReporting of dataCOVID-19Risk adjustmentLevel of COVID-19Regional anesthesia in the patient receiving antithrombotic or thrombolytic therapy: American Society of Regional Anesthesia and Pain Medicine Evidence-Based Guidelines (fifth edition)
Kopp S, Vandermeulen E, McBane R, Perlas A, Leffert L, Horlocker T. Regional anesthesia in the patient receiving antithrombotic or thrombolytic therapy: American Society of Regional Anesthesia and Pain Medicine Evidence-Based Guidelines (fifth edition). Regional Anesthesia & Pain Medicine 2025, rapm-2024-105766. PMID: 39880411, DOI: 10.1136/rapm-2024-105766.Peer-Reviewed Original ResearchAmerican Society of Regional AnesthesiaDeep venous thrombosisEvidence-based guidelinesRegional anesthesiaThrombolytic therapyComplications associated with regional anesthesiaRecurrent deep venous thrombosisAmerican SocietyRandomized controlled trialsAnticoagulant doseNeural blockadeVenous thrombosisCase seriesCatastrophic complicationPatient characteristicsClinical trialsHigh dosesPatientsPublished guidelinesControlled trialsPainAnesthesiaPatient safetyTherapyDoseSoftware solution for integration of frozen section quality assurance into daily practice
Gibson J, Mutnick N, Gershkovich P, Sinard J. Software solution for integration of frozen section quality assurance into daily practice. American Journal Of Clinical Pathology 2025, 163: 794-802. PMID: 39838842, DOI: 10.1093/ajcp/aqae188.Peer-Reviewed Original ResearchPatient safetyImprove patient safetyQuality of careFS errorsClinical teamIncreased documentationSoftware solutionsSubspecialty expertisePathology facultyDaily practiceQuality assuranceShortened time intervalsCustom software solutionsInterventionReduce errorsResolution of errorsTechnical errorsCarePermanent diagnosisProgramFrozen sectionsPracticePhysical locationPathology laboratoryFaculty
2024
Measurement and Prevalence of Aggression
Iennaco J, Molle E, Lauvrud C, Palmstierna T, Nijman H, Almvik R. Measurement and Prevalence of Aggression. 2024, 93-123. DOI: 10.1007/978-3-031-61224-4_5.Peer-Reviewed Original ResearchQuality of carePatient safetyActivity programmeHealthcare workplaceHealthcare settingsPatient carePsychiatric settingsOverview of scalesImpact patientsTherapeutic relationshipClinical environmentCoercive interventionsPrevalence of aggressionClinical settingCareHealthcareSeverity of violenceHigher ratesPrevalenceViolenceCaregiversSetsPatientsComplex issuesInterventionSurgeryLLM: a retrieval-augmented generation large language model framework for surgical decision support and workflow enhancement
Ong C, Obey N, Zheng Y, Cohan A, Schneider E. SurgeryLLM: a retrieval-augmented generation large language model framework for surgical decision support and workflow enhancement. Npj Digital Medicine 2024, 7: 364. PMID: 39695316, PMCID: PMC11655968, DOI: 10.1038/s41746-024-01391-3.Peer-Reviewed Original ResearchLeveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions
Taylor R, Sangal R, Smith M, Haimovich A, Rodman A, Iscoe M, Pavuluri S, Rose C, Janke A, Wright D, Socrates V, Declan A. Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions. Academic Emergency Medicine 2024, 32: 327-339. PMID: 39676165, PMCID: PMC11921089, DOI: 10.1111/acem.15066.Peer-Reviewed Original ResearchClinical decision supportEmergency departmentArtificial intelligencePatient safetyDiagnostic errorsImplementing AIImprove patient safetyClinical decision support systemsEnhance patient outcomesReducing diagnostic errorsLeverage artificial intelligenceEmergency medicineHealth careTargeted educationReduce cognitive loadQuality improvementEmergency cliniciansData retrievalReal-time insightsDecision supportPatient outcomesCognitive overloadInformation-gathering processPatient detailsCliniciansThe International Society of Nephrology Collaborative Quality Framework to Support Safe and Effective Dialysis Provision in Resource-Challenged Settings
Davies S, Naicker S, Liew A, Vachharajani T, Pecoits-Filho R, Jha V, Finkelstein F, Harris D. The International Society of Nephrology Collaborative Quality Framework to Support Safe and Effective Dialysis Provision in Resource-Challenged Settings. Kidney International Reports 2024, 10: 663-672. PMID: 40225391, PMCID: PMC11993199, DOI: 10.1016/j.ekir.2024.11.1366.Peer-Reviewed Original ResearchCatastrophic healthcare expenditureContinuous quality improvementQuality frameworkHealthcare commissionersPatient safetyLack of resourcesSub-optimal qualityHealthcare expendituresIterative reviewResource-challenged settingsInequitable accessQuality improvementResource settingsDialysis provisionDialysis planningProvidersExternal validationInternational SocietyPatient groupPolicy makersEffective treatmentHealthcarePatientsSetsFundersA human factors engineering approach to improving hand hygiene quality
Boyce M, Mathew T, Roberts S, Aniskiewicz M, Krechevsky K, Dahlberg S, Frye N, Trumpler J, Evans L, Martinello R, Team T. A human factors engineering approach to improving hand hygiene quality. Human Factors In Healthcare 2024, 6: 100085. DOI: 10.1016/j.hfh.2024.100085.Peer-Reviewed Original ResearchHealthcare personnelHealthcare-associated infectionsHospital settingWorld Health OrganizationPatient safetyHuman factors engineeringHuman factors engineering approachImprove patient safetyPrevent healthcare-associated infectionsPerformance of HHHealthcare-associated infection ratesSubject matter expertsInfection prevention specialistsHospital leadershipHealthcare settingsAlcohol-based handMatter expertsInpatient hospitalizationQualitative interviewsPrevention specialistsInfection preventionHealthcareHealth OrganizationHospitalHH techniqueGEAR 2.0 ‐ Detection of Dementia and Cognitive Impairment
Hwang U. GEAR 2.0 ‐ Detection of Dementia and Cognitive Impairment. Alzheimer's & Dementia 2024, 20: e091835. PMCID: PMC11711980, DOI: 10.1002/alz.091835.Peer-Reviewed Original ResearchDetection of dementiaEmergency departmentOlder adultsED-based careImprove care coordinationUnder-recognitionAcute medical careIncreased health care costsRate of cognitive declineLower patient satisfactionCognitive declineHealth care costsAccelerated cognitive declineCare coordinationCare partnersEmergency carePatient safetyAvoidable visitsImplement interventionsInpatient servicesStaff's abilityCare costsMedical carePatient satisfactionCareInformation 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, 177: 1711-1718. 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 devicesWhat can building information modeling do for you? A perspective on integration into infection prevention and control programs for patient safety
Roberts S, Mathew T, Tanner W, Martinello R, team H. What can building information modeling do for you? A perspective on integration into infection prevention and control programs for patient safety. Infection Control And Hospital Epidemiology 2024, 46: 112-113. PMID: 39498632, DOI: 10.1017/ice.2024.179.Peer-Reviewed Original ResearchHospital COVID-19 Burden and Adverse Event Rates
Metersky M, Rodrick D, Ho S, Galusha D, Timashenka A, Grace E, Marshall D, Eckenrode S, Krumholz H. Hospital COVID-19 Burden and Adverse Event Rates. JAMA Network Open 2024, 7: e2442936. PMID: 39495512, PMCID: PMC11581512, DOI: 10.1001/jamanetworkopen.2024.42936.Peer-Reviewed Original ResearchConceptsCOVID-19 burdenHospital admissionPatient safetyRelative riskCohort studyStudy of hospital admissionsAcute care hospitalsRisk-adjustment variablesRisk-adjusted ratesMedicare hospital admissionsCOVID-19 pandemicStaffing shortagesHospital characteristicsMain OutcomesHospital resilienceSurge capacityMedicare patientsCare hospitalHighest burdenPrevent declinesPatient admissionsStudy sampleElixhauser comorbiditiesCOVID-19Low burdenAutomatic quantification of pressure waveform damping during cardiac catheterisation using artificial intelligence
Bahl R, Zahid A, Gustavo D, Almeida G, Rajkumar C, Ahmed-Jushuf F, Foley M, De Waard G, Echavarria-Pinto M, Sen S, Al-Lamee R, Francis D, Chamie D, Shun-Shin M, Petraco R. Automatic quantification of pressure waveform damping during cardiac catheterisation using artificial intelligence. European Heart Journal 2024, 45: ehae666.2330. DOI: 10.1093/eurheartj/ehae666.2330.Peer-Reviewed Original ResearchAortic pressure waveformPressure waveformCoronary angiographyAltman analysisPressure wire assessmentExpert consensusPatient safetyPhysiological assessmentWaveformCardiac catheterisationAortic pressure recordingsPracticing interventional cardiologistsImprove patient safetyNeural networkClinical consequencesCoronary ostiumIncrease patient safetySevere formVentricular fibrillationVessel injuryInterventional cardiologistsModernizing Medical Device Regulation: Challenges and Opportunities for the 510(k) Clearance Process.
Kadakia K, Rathi V, Dhruva S, Ross J, Krumholz H. Modernizing Medical Device Regulation: Challenges and Opportunities for the 510(k) Clearance Process. Annals Of Internal Medicine 2024, 177: 1558-1565. PMID: 39374526, DOI: 10.7326/annals-24-00728.Peer-Reviewed Original ResearchClass I Recalls of Cardiovascular Devices Between 2013 and 2022 : A Cross-Sectional Analysis.
See C, Mooghali M, Dhruva S, Ross J, Krumholz H, Kadakia K. Class I Recalls of Cardiovascular Devices Between 2013 and 2022 : A Cross-Sectional Analysis. Annals Of Internal Medicine 2024, 177: 1499-1508. PMID: 39284187, DOI: 10.7326/annals-24-00724.Peer-Reviewed Original ResearchCross-sectional studyCross-sectional analysisAdverse health consequencesPatient safetyClinical testingClass IHealth consequencesClinical evidenceFDA summariesPostapproval studiesDecision summariesFood and Drug AdministrationU.S. Food and Drug AdministrationEnd-point selectionPremarket approvalMultiple class IClinical studiesPostmarketing surveillanceSummaryDrug AdministrationMedical device recall databaseRecallPatientsFDAPostmarketingFACTFINDERS FOR PATIENT SAFETY: Minimizing risks with cervical epidural injections
Holder E, Lee H, Raghunandan A, Marshall B, Michalik A, Nguyen M, Saffarian M, Schneider B, Smith C, Tiegs-Heiden C, Zheng P, Patel J, Levi D, Committee I. FACTFINDERS FOR PATIENT SAFETY: Minimizing risks with cervical epidural injections. Interventional Pain Medicine 2024, 3: 100430. PMID: 39502902, PMCID: PMC11536293, DOI: 10.1016/j.inpm.2024.100430.Peer-Reviewed Original ResearchEpidural steroid injectionsCervical transforaminal epidural steroid injectionsTransforaminal epidural steroid injectionCervical epidural injectionsSpinal cord injurySteroid injectionContralateral obliqueDural punctureEpidural hematomaCervical interlaminar epidural steroid injectionCord injuryEpidural injectionEpidural spaceCatastrophic neurologic injuryLoss of resistanceInterlaminar epidural steroid injectionsComplication of dural punctureComplication of spinal cord injuryNeedle placementCase reports of patientsReview of cross-sectional imagingSevere systemic complicationsInadvertent dural puncturePatient safetyReports of patients
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