TriageGO
Optimized Triage with Artificial Intelligence.
Overview
TriageGO is an AI-powered tool developed by researchers at Johns Hopkins and acquired by Beckman Coulter. It integrates with a patient's digital health record and uses machine learning algorithms to analyze patient data, vital signs, and history to predict the risk of acute outcomes. The tool provides an acuity-level recommendation to the triage nurse, helping to more accurately identify high-risk patients and improve patient flow in the emergency department.
✨ Key Features
- AI-driven acuity level recommendations
- Predicts risk of specific clinical outcomes
- Integrates directly into EHR triage workflows
- Provides explanations for its recommendations
- Improves identification of low-risk patients for fast-track pathways
🎯 Key Differentiators
- Uses machine learning to predict actual clinical outcomes, not just resource utilization
- Developed and validated at a major academic medical center
- Seamlessly integrates into the existing nursing workflow
Unique Value: Improves the accuracy of triage decisions by using AI to identify patient risks that may not be immediately apparent, leading to better patient outcomes and more efficient ED operations.
🎯 Use Cases (4)
✅ Best For
- Academic medical centers (e.g., Johns Hopkins Hospital)
- Multi-hospital health systems
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Facilities without an EHR system
- Very low-volume emergency departments
🏆 Alternatives
Offers a data-driven, risk-based assessment that is more objective and predictive than traditional triage scales which can be subjective and vary between nurses.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Phone Support
- ✓ Dedicated Support (Standard tier)
🔒 Compliance & Security
💰 Pricing
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