Healthcare Group Automates Patient Triage and Cuts Wait Time by 40%
Our client launched an AI triage layer across web and phone intake to prioritize urgent patient requests and reduce front-desk overload during high-volume hours.
The Challenge
Patient inquiries were spread across phone, web forms, and email. Nurses spent hours classifying urgency manually, resulting in inconsistent response times and delayed care for higher-risk cases.
The Solution
We built a GDPR-compliant triage assistant that captures symptom signals, assigns urgency tiers, and routes cases to the right care queue. Non-urgent cases get guided next-step instructions automatically.
The Shift (Before vs. After)
Average first response time
Before
19h
After
3.5h
Nurse triage admin/day
Before
5.2h
After
1.9h
Urgent case misrouting
Before
8.1%
After
2.2%
Key Results
Client Perspective
"The assistant didn’t replace clinicians. It removed queue chaos so clinicians could focus on patient care quality."
K. Lindstrom — Clinical Operations Lead, Our Client
Company Profile
Client
Healthcare Group
Location
Stockholm, Sweden
Industry
Healthcare
Business Type
Multi-provider outpatient clinic group
Implementation Timeline
6 weeks including compliance review
Primary Impact
40% reduction in wait times
Tech Stack Used
Rollout Plan
- Week 1: Clinical protocol mapping + risk rubric design
- Week 2-4: Intake assistant build + routing integration
- Week 5-6: Staff simulation runs + go-live governance
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