Reference Architecture
Healthcare Patient Intake Agent
Automated patient intake across 12 clinic locations, reducing front-desk workload by 45% while maintaining HIPAA-compliant workflows.
AI AgentsHealthcare
Illustrative scenario for scoping discussions. For shipped projects with verified metrics, see our work.
The Challenge
Manual intake consumed 3+ hours per location daily. Staff duplicated data entry across EHR and scheduling systems. Patient wait times increased 22% year-over-year.
Our Approach
Deployed a LangGraph-based intake agent with conversational data collection, insurance verification API integration, and human escalation for complex cases. Built on FastAPI with encrypted PostgreSQL and audit logging.
Technologies
LangGraphFastAPIPostgreSQLOpenAINext.js
Illustrative Outcomes
Typical targets for this reference architecture - not a named client engagement
- 45%
- Intake time reduction
- -68%
- Data entry errors
- +18 NPS points
- Patient satisfaction
- 10 weeks
- Time to production