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The Use of AI to Support Better Clinical Decision-Making in Emergency Medicine
Johns Hopkins deployed TriageGO in 2017, an AI-powered clinical decision support (CDS) tool aiming to enhance emergency department (ED) triage. Developed by ED physicians and informaticists, TriageGO leverages AI for risk-driven triage acuity recommendations. Jeremiah Hinson, from Johns Hopkins University School of Medicine, details its impact on ED throughput, patient outcomes, and reducing crowding. This innovative tool revolutionizes decision-making, addressing overcrowded ED issues by swiftly detecting critical illnesses and minimizing wait times. TriageGO's implementation showcases significant strides in bettering patient care trajectories, making informed decisions with improved clinical data, ultimately benefiting both staff and patients in emergency care.
Medigy Insights
In response to the persisting challenges of overcrowded emergency departments (EDs) in the U.S., Johns Hopkins introduced TriageGO in 2017, an AI-powered clinical decision support (CDS) tool. Developed collaboratively, this innovation aids ED physicians by leveraging AI for risk-driven triage acuity recommendations. Jeremiah Hinson from Johns Hopkins University School of Medicine details TriageGO's impact on ED throughput, patient outcomes, and alleviating overcrowding. This transformative tool optimizes decision-making, swiftly detecting critical illnesses, and reducing wait times, effectively improving patient care trajectories by harnessing enhanced clinical data. TriageGO emerges as a critical solution in revolutionizing emergency care for better staff and patient outcomes.
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