AI Case Study

Dialogue to optimise emergency rooms triage at Centre hospitalier de l'Université de Montréal (CHUM) using AI

Dialogue will provide Centre hospitalier de l'Université de Montréal (CHUM) an artificial intelligence system that optimises triage. The company acquired the Canadian company that develops the technology, DXA, and is launching a pilot project at the hospital's emergency rooms. Patients are assisted by a chat-based AI-driven triage system which determined red flags and signs of serious conditions.

Industry

Healthcare

Healthcare Providers And Services

Project Overview

"After acquiring a local startup that has developed an artificial intelligence system for medical triage, Montreal-based telemedicine company Dialogue is now preparing to use that technology in one of the city’s largest hospital networks.

Starting in a few weeks, Dialogue’s artificial intelligence triage program will start being used at the CHUM emergency room as part of pilot project.

Either online of via the app, the patient interacts with a chat-based AI-driven triage system, answering a series of questions designed to identify red flags and signs of serious conditions, said Cherif Habib, Dialogue’s co-founder and CEO.

The system also gives the patient a score on the Canadian Triage Acuity Scale, which is widely used in emergency departments. That scale ranks the seriousness of a patient’s condition from 5: Non-urgent to 1: See patient immediately.

The system can then put the patient into a video chat with a nurse, nurse practitioner or physician depending on their condition. At times, Habib said, the system has identified more serious conditions and in one case, Dialogue has called an ambulance to a patient’s home.

Reported Results

Planned; results not yet available

Technology

Function

Operations

General Operations

Background

Triage is very important to evaluate the severity of a patient's situation and prioritise tasks fro practitioners.

Benefits

Data

16,000 medical articles