Research & Publications from Our Team


Research Study

Enhancing Emergency Department Triage Equity With Artificial Intelligence: Outcomes From a Multisite Implementation
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Accelerated Chest Pain Treatment With Artificial Intelligence–Informed, Risk-Driven Triage
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Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients with Respect to Clinical Outcomes Compared with the Emergency Severity Index
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Machine-Learning-Based Electronic Triage: A Prospective Evaluation
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AHRQ Final Report
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Accuracy of emergency department triage using the Emergency Severity Index and independent predictors of under-triage and over-triage in Brazil: a retrospective cohort analysis
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An Electronic Emergency Triage System to Improve Patient Distribution by Critical Outcomes
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Journal Article

Data-Driven Approach Yields New Approach for Emergency Department Triage
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Systematic Review

Triage Performance in Emergency Medicine: A Systematic Review
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“Danaher and Beckman Coulter have provided a unique opportunity for my colleagues and I to continue our research on AI and it's practical applications in healthcare. Our team of clinician and engineering scientists are committed to upholding the highest standards of integrity, transparency, and responsibility in performing AI research that serves as the foundation for future tools.”

Scott Levin, PhD
Head of Research & Innovation

 

Relevant External Research


Research Study

Evaluation of the Emergency Severity Index in US Emergency Departments for the Rate of Mistriage
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Association of Race and Ethnicity with Triage Emergency Severity Index Scores and Total Visit Work Relative Value Units for Emergency Department Patients
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Sociodemographic Disparities in Queue Jumping for Emergency Department Care
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Journal Article

Harnessing the power of clinical decision support systems: challenges and opportunities
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Systematic Review

Emergency department crowding: A systematic review of causes, consequences, and solutions
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