Intelligent Triage through Computer Vision

01Client

One of Brazil's largest hospital networks, with high patient volume in emergency and urgent care units.

02Challenge

• Manual triage prone to assessment errors in high-pressure, high-volume environments
• Difficulty in quickly categorizing urgency levels for patients with limited verbal communication
• Risk of underreporting critical cases during peak demand periods
• Need to standardize triage protocols across different units of the network

03Solution implemented

• Development of a computer vision system applied to the hospital triage process
• Automatic analysis of patient facial expressions to infer pain level and clinical status
• Predictive models correlating facial expressions with urgency classification protocols
• Integration with the existing triage workflow, supporting the nursing team in categorization

04Strategic differentials

• AI applied to real-time clinical decisions without replacing human judgment
• Non-invasive system operating through cameras already present in the hospital environment
• LGPD compliance with anonymization of patients' visual data
• Integration with legacy hospital systems without infrastructure restructuring

05Results

• Greater agility in prioritizing critical cases during triage
• Standardization and consistency in urgency classification across network units
• Reduced risk of errors due to staff overload during high demand
• Improved patient experience with more precise direction to the appropriate level of care