AI-Powered Medical Imaging Triage
Implement AI triage for radiology workflows — automatically prioritising urgent findings and flagging critical abnormalities for immediate review.
Transformation
Before & After AI
What this workflow looks like before and after transformation
Before
Radiology reads are processed first-in-first-out regardless of urgency. Critical findings (stroke, pneumothorax, fractures) can wait hours in the queue. Radiologists spend significant time on normal studies while urgent cases wait. Turnaround time for emergency reads averages 2-4 hours.
After
AI pre-screens every imaging study within minutes of acquisition, flagging critical findings and automatically reprioritising the worklist. Radiologists see urgent cases first, reducing critical finding turnaround to under 30 minutes. AI also flags incidental findings that might otherwise be missed.
Implementation
Step-by-Step Guide
Follow these steps to implement this AI workflow
Define Clinical Priorities
2 weeksWork with radiology and emergency medicine leadership to define which findings trigger AI triage escalation. Establish clinical validation requirements and regulatory pathway (FDA clearance, local health authority approval).
Select & Validate AI Models
6 weeksEvaluate FDA-cleared / CE-marked AI imaging solutions for your priority conditions. Run retrospective validation on your historical imaging data to confirm performance in your patient population. Document sensitivity, specificity, and processing time.
Integrate With PACS & Worklist
4 weeksConnect AI models to your PACS (Picture Archiving and Communication System) for automatic study ingestion. Build worklist integration so AI priority scores reorder the radiologist queue. Implement notification system for critical findings.
Clinical Pilot
6 weeksRun AI triage in parallel with standard workflow — AI flags studies but radiologists process normally. Compare AI flags against final radiologist reports to validate real-world performance. Adjust sensitivity thresholds based on clinical feedback.
Go Live & Monitor
2 weeks + ongoingActivate AI-driven worklist prioritisation. Monitor turnaround times, false positive/negative rates, and radiologist satisfaction. Track patient outcomes for AI-flagged vs. non-flagged studies. Report to clinical governance and quality committees.
Tools Required
Expected Outcomes
Reduce critical finding turnaround time from 2-4 hours to under 30 minutes
Detect 15-20% more incidental findings that would otherwise be missed
Improve radiologist workflow efficiency by 25-35%
Reduce diagnostic errors for time-sensitive conditions
Meet or exceed quality benchmarks for critical finding communication
Solutions
Related Pertama Partners Solutions
Services that can help you implement this workflow
Frequently Asked Questions
Yes. AI diagnostic tools are classified as medical devices in most jurisdictions. In the US, they need FDA clearance (typically 510(k) pathway). In the EU, CE marking under MDR. In Southeast Asia, requirements vary by country. Using pre-cleared/approved solutions from established vendors simplifies this significantly.
Most mature AI triage solutions cover chest X-ray, head CT, and mammography. Emerging solutions cover MSK (musculoskeletal) imaging, abdominal CT, and cardiac imaging. The key is selecting AI solutions validated for your specific imaging modalities and clinical priorities.
Ready to Implement This Workflow?
Our team can help you go from guide to production — with hands-on implementation support.