2024
Using an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levels
Warman P, Warman A, Warman R, Degnan A, Blickman J, Smith D, McHale P, Coburn Z, McCormick S, Chowdhary V, Dash D, Sangal R, Vadhan J, Bueso T, Windisch T, Neves G. Using an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levels. Emergency Medicine Journal 2024, 41: 298-303. PMID: 38233106, DOI: 10.1136/emermed-2023-213158.Peer-Reviewed Original ResearchCranial CT scanEmergency physiciansIntracranial haemorrhageBoard-certified emergency physiciansCT scanYears of practice experienceNon-contrast cranial CT scansED physiciansClinical careImaging ReportingEP cohortArtificial intelligenceReader accuracyNon-contrastPatient outcomesRadiologistsRandom orderPhysiciansPatientsCohort
2021
Simulating approaches to emergency department pandemic physician staffing during COVID-19.
Sangal RB, Venkatesh AK, Kinsman J, Dashevsky M, Scofi JE, Ulrich A. Simulating approaches to emergency department pandemic physician staffing during COVID-19. American Journal Of Disaster Medicine 2021, 16: 85-93. PMID: 34392521, DOI: 10.5055/ajdm.2021.0391.Peer-Reviewed Original ResearchConceptsEmergency departmentInfection rateStaffing modelsPercent infection rateCohort modelHigher infection rateInfectious disease outbreaksEmergency physiciansED staffAvailable physiciansThree-teamWeek 5Health systemEM physiciansPhysiciansAdequate staffingImmunityPhysician attritionCOVID-19CohortDisease outbreaksPandemicPandemic disasterWeeks