Automated Emergency Room Triage: Helping Patients Get the Best Treatment
Author(s) -
Alexandre Haruo Inoue,
Marcus Prado,
Fábio Gagliardi Cozman
Publication year - 2020
Publication title -
anais do encontro nacional de inteligência artificial e computacional (eniac)
Language(s) - English
Resource type - Conference proceedings
ISSN - 2763-9061
DOI - 10.5753/eniac.2020.12162
Subject(s) - triage , specialty , computer science , medical treatment , robot , medical emergency , interface (matter) , human–computer interaction , artificial intelligence , simulation , medicine , operating system , family medicine , bubble , maximum bubble pressure method
We describe an intelligent triage system for emergency rooms; the system interacts with patients and classifies them by priority level and with respect to medical specialty. The system consists of a conversational interface, coupled with sensors and a physical robot-like platform, and classifiers that operate on symptoms and measurements so as to select a medical specialty and to output a priority level. Tests with human subjects demonstrated that our Healthbot system was well received and in fact preferred to alternatives by most people. Tests have also shown that the classifiers reached accuracy consistent with a doctor's output.
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