Challenge
Manual triage steps were creating bottlenecks across outpatient departments. Staff spent significant time sorting case urgency, resulting in delayed response for high-priority patients.
Strategy
We designed a human-in-the-loop AI triage workflow with strict governance boundaries. The model supported prioritization recommendations while final clinical decisions remained with medical teams.
Implementation
We integrated triage scoring into existing EMR workflows, created confidence thresholds for escalation, and built dashboards for auditability. Teams were trained on exception handling and data quality controls.
Results
Critical case routing became faster and more consistent. Administrators gained better visibility into demand patterns, allowing smarter staff allocation during peak periods.
Impact Metrics
38%
Triage Time Reduction
91%
Priority Routing Accuracy
24%
Patient Throughput Increase
