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Healthcare • 2025
MediPulse AI Triage
AI triage assistant for a hospital chain.
Symptom-to-department triage using LLMs, reducing average ER wait times by 42% across 9 hospitals.
Project meta
- Client
- MediPulse Group
- Industry
- Healthcare
- Duration
- 10 weeks
- Delivered
- 2025
Stack
Next.jsPythonFastAPIGPT-5FHIRAWS
42%
less wait time
9
hospitals live
120k
monthly triages
98.4%
routing accuracy
The challenge
Overcrowded emergency wards, misrouted patients and 40-minute average intake time.
Our solution
Deployed an LLM-based triage kiosk with clinician-supervised prompts and hard safety rails.
The outcome
Doctor time freed up for critical cases; NPS jumped 28 points.
Key highlights
LLM-powered symptom collector
ICD-10 tagged triage output
EMR bi-directional sync
HIPAA-grade audit trail
Get in touch
Let’s build something intelligent
Tell us about your idea. Our senior team will get back within 24 hours with a discovery plan and rough estimate.
contact@ozonexai.com
+91 6203009136
Pune