Automated Brain Bleed Triage in Emergency Radiology
How HaiLTH Reduced Diagnostic Delays for Intracranial Hemorrhage
Client Overview
A leading tertiary-care hospital’s emergency department often faced critical delays in head CT reporting. High caseloads, night shift gaps, and limited neuroradiology bandwidth created risk in time-sensitive brain bleed cases.
Objective
Prioritize life-threatening brain bleeds for immediate reporting.
Reduce missed subtle hemorrhage cases.
Improve stroke and trauma workflows via AI support.
Solution: HaiLTH’s Intracranial Hemorrhage Module
HaiLTH’s deep learning model for brain CT scans was integrated directly into the PACS system. The AI flagged suspected hemorrhages in real time, pushing them to the top of the radiologist’s queue.
Results
Critical Prioritization
Time to report reduced to under 10 minutes.
Accuracy Gains
40% fewer missed minor bleeds.
Faster Response
Enabled timely neuro referrals and surgical triage.
Radiologist Efficiency
Reduced workload strain and diagnostic lag.
Conclusion
HaiLTH enabled true AI-human synergy in the emergency workflow. Its triage intelligence saved precious minutes—and lives—by ensuring no brain bleed went undetected or delayed.