2024
Leveraging 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 PMID: 39676165, 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 detailsClinicians
2015
The Prevalence and Characteristics of Emergency Medicine Patient Use of New Media
Post LA, Vaca FE, Biroscak BJ, Dziura J, Brandt C, Bernstein SL, Taylor R, Jagminas L, D'Onofrio G. The Prevalence and Characteristics of Emergency Medicine Patient Use of New Media. JMIR MHealth And UHealth 2015, 3: e72. PMID: 26156096, PMCID: PMC4526985, DOI: 10.2196/mhealth.4438.Peer-Reviewed Original ResearchED patientsPatient useAcademic-affiliated hospitalUrban academic teaching hospitalHealth careHigh-volume EDsEmergency department settingUrban community hospitalHealth care barriersAcademic teaching hospitalCross-sectional surveyIndex visitED visitsSmartphone ownershipCare barriersDepartment settingCommunity hospitalTeaching hospitalBlack non-HispanicsPatientsAffiliate hospitalsPersonal health recordsOlder personsNon-HispanicsCare apps