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 encountersPredicting Agitation Events in the Emergency Department Through Artificial Intelligence
Wong A, Sapre A, Wang K, Nath B, Shah D, Kumar A, Faustino I, Desai R, Hu Y, Robinson L, Meng C, Tong G, Bernstein S, Yonkers K, Melnick E, Dziura J, Taylor R. Predicting Agitation Events in the Emergency Department Through Artificial Intelligence. JAMA Network Open 2025, 8: e258927. PMID: 40332935, PMCID: PMC12059975, DOI: 10.1001/jamanetworkopen.2025.8927.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedArtificial IntelligenceCohort StudiesEmergency Service, HospitalFemaleHumansMaleMiddle AgedPsychomotor AgitationRisk AssessmentRisk FactorsConceptsED visitsEmergency departmentAgitation eventsElectronic health record dataArea under the receiver operating characteristic curvePatient-centered careHealth service utilizationPrimary outcomeHealth record dataUrban health systemED visit dataMode of arrivalPrevention of agitationOutcome of agitationDiverse patient populationsRestraint ordersCross-sectional cohortService utilizationVital signsED sitesHealth systemMain OutcomesRestraint eventsRange of predicted probabilitiesVisit data
2024
Balancing act: the complex role of artificial intelligence in addressing burnout and healthcare workforce dynamics
Pavuluri S, Sangal R, Sather J, Taylor R. Balancing act: the complex role of artificial intelligence in addressing burnout and healthcare workforce dynamics. BMJ Health & Care Informatics 2024, 31: e101120. PMID: 39181545, PMCID: PMC11344516, DOI: 10.1136/bmjhci-2024-101120.Peer-Reviewed Original ResearchConceptsQuality of patient careSustainability of health systemsComplexity of medical informationArtificial intelligenceWorkforce attritionHealth systemClinical skillsPatient careSense of purposeHealthcare workersHealthcareMedical informationWorkforce dynamicsMedical practiceProfessional attributesDigital scribeData management systemCognitive burdenBurnoutAdvanced data management systemsAI technologyAI potentialAutomated billingSignificant riskCaregivers
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