SRAT-AI Clinical Triage Assessment Released
SRAT-AI launches its AI-powered surgical decision support and risk assessment system for spine care, generating personalized triage recommendations using clinical history, symptoms, imaging findings, and risk factors.
SRAT-AI launches its AI-powered surgical decision support and risk assessment system for spine care. This module generates a personalized triage recommendation using clinical history, symptoms, imaging findings, and risk factors to help clinicians make informed treatment decisions.
Triage Requirements
To deliver accurate and comprehensive analysis, SRAT-AI's triage assessment integrates multiple data sources:
- Treatment Analysis – Required for comparison and severity scoring
- Video Gait Analysis – Recommended to enhance assessment accuracy
- Patient clinical history and symptoms
- Imaging findings (MRI, X-ray, CT)
- Risk factor profile
- Previous treatment history
Assessment Workflow
The triage assessment follows a streamlined process designed for clinical efficiency:
- Upload patient clinical information including history and examination findings
- Complete Treatment Analysis to establish baseline severity
- (Optional but Recommended) Upload gait video for deeper mobility assessment
- System integrates all data sources for comprehensive analysis
- Generate automated triage recommendation with confidence scores
- Review detailed clinical reasoning and supporting evidence
Triage Outputs
The system provides comprehensive decision support outputs tailored to clinical workflows:
- Urgency classification (emergent, urgent, semi-urgent, routine)
- Recommended care pathway (surgical vs. conservative)
- Risk stratification scores
- Expected outcome probabilities
- Alternative treatment considerations
- Timeline recommendations for intervention
Clinical Decision Support
The triage assessment enhances clinical decision-making through evidence-based recommendations:
- Identifies patients who may benefit from early surgical intervention
- Highlights cases suitable for conservative management
- Flags high-risk patients requiring additional evaluation
- Supports informed shared decision-making with patients
- Provides documentation support for treatment recommendations
- Enables consistent triage across providers and institutions
Best Practice Recommendation
For the highest triage accuracy and most comprehensive clinical insights, we strongly recommend uploading a Video Gait Analysis before running the assessment. Gait analysis provides objective functional status data that significantly enhances the precision of triage recommendations.
The Clinical Triage Assessment module represents a major advancement in AI-assisted clinical decision support, helping spine care providers deliver personalized, evidence-based treatment recommendations that optimize patient outcomes.