Clients / Regional Healthcare Network
HealthcareRegional Healthcare Network
AI-Powered Diagnostic Assistant for Healthcare Network
65%
Documentation Time Reduced
94%
Diagnostic Accuracy
2.5 hours/day
Patient Face Time Increased
4.8/5
Clinician Satisfaction
Challenge
Clinicians were spending 40% of their time on documentation and manual chart review, reducing patient face time and increasing burnout. The healthcare network needed an AI solution that could assist with diagnostic suggestions while maintaining HIPAA compliance and clinical accuracy.
What we built
We built a secure AI diagnostic assistant using GPT-4 with custom medical knowledge bases and RAG (Retrieval-Augmented Generation) to provide evidence-based diagnostic suggestions. The system integrates with existing EHR systems and includes a confidence scoring mechanism that routes edge cases to senior physicians.
Engagement
- Client
- Regional Healthcare Network
- Industry
- Healthcare
- Timeline
- 3 months
Stack
GPT-4 APILangChainPinecone Vector DBPython/FastAPIReactAWS (HIPAA-compliant)PostgreSQL
#Generative AI#Machine Learning#Enterprise Systems
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