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Autonomous Emergency Triage Support System

Ol’Tunde Ashaolu, William Lyons, Ioannis Stefanakos, Radu Călinescu, Ibrahim Habli, Joanna Hodge, Chiara Picardi, Katherine L. Plant, Beverley Townsend

Year
2023
Citations
1

Abstract

Medical staff shortages and growing healthcare demands due to an ageing population mean that many patients face delays in receiving critical care in the emergency departments (EDs) of hospitals worldwide. As such, the use of autonomous, robotics and AI technologies to help streamline the triage of ED patients is of utmost importance. In this paper, we present our ongoing work to develop an autonomous emergency triage support system intended to alleviate the current pressures faced by hospital emergency departments. By employing a combination of robotic and AI techniques, our solution aims to speed up the initial stages of ED triage. Its preliminary evaluation using synthetic patient datasets generated with ED medic input suggests that our solution has the potential to improve the ED triage process, supporting the timely and accurate delivery of patient care in emeraency settings.

Keywords

TriageComputer scienceMedical emergencyMedicine

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