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 detailsCliniciansUsing 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
2022
Deep Learning System Boosts Radiologist Detection of Intracranial Hemorrhage
Warman R, Warman A, Warman P, Degnan A, Blickman J, Chowdhary V, Dash D, Sangal R, Vadhan J, Bueso T, Windisch T, Neves G, Degnan A, Blickman J, Vadhan J. Deep Learning System Boosts Radiologist Detection of Intracranial Hemorrhage. Cureus 2022, 14: e30264. PMID: 36381767, PMCID: PMC9653089, DOI: 10.7759/cureus.30264.Peer-Reviewed Original ResearchIntracranial hemorrhage subtypesIntracranial hemorrhageCranial computed tomographyInter-reader agreementDetect intracranial hemorrhageCohort of radiologistsPerformance of radiologistsImprove patient outcomesReduce misdiagnosisRadiologistsPatient outcomesRadiologist's abilityMedical treatmentSubtypesPositive outcomesOutcomesImplementation of an Electronic Health Record Integrated Clinical Pathway Improves Adherence to COVID-19 Hospital Care Guidelines
Sangal RB, Liu RB, Cole KO, Rothenberg C, Ulrich A, Rhodes D, Venkatesh AK. Implementation of an Electronic Health Record Integrated Clinical Pathway Improves Adherence to COVID-19 Hospital Care Guidelines. American Journal Of Medical Quality 2022, 37: 335-341. PMID: 35026785, PMCID: PMC9241559, DOI: 10.1097/jmq.0000000000000036.Peer-Reviewed Original ResearchConceptsClinical pathwaySecondary outcomesCOVID-19 treatment guidelinesEmergency department cliniciansIntegrated clinical pathwayCOVID-19Electronic health recordsPrimary outcomeTreatment guidelinesClinician adherenceED cliniciansED patientsCare guidelinesTreatment recommendationsMedication administrationPatient outcomesPatient carePatientsCliniciansHealth systemHealth recordsOutcomesAdherenceAspirinCOVID-19 pandemic