Case Study - AI triage assistant connecting patients and doctors
Built a medical triage system where patients chat before visits and doctors receive structured intelligence before consult.
- Year
- Service
- Clinical AI and workflow automation
Overview
A care delivery team wanted to improve visit preparation quality without increasing clinician admin load.
We implemented a patient-facing conversational assistant that collects structured pre-visit information and generates clinician-ready context packets. Each packet includes concise symptom narratives, SOAP-oriented summaries, historical visit context, and guideline-linked recommendations.
The design prioritized safe escalation and transparency so clinicians can quickly review and override AI suggestions when needed.
What we did
- Conversational triage UX
- Clinical summarization
- SOAP structuring
- Guideline-aware recommendations
The triage assistant reduced intake friction while giving clinicians a clearer starting point for high-quality consultations.
- Patient intake mode
- Pre-visit AI
- Output format
- Clinician-first
- Safety model
- Escalation-aware
- Visit memory support
- Longitudinal