Project Info
Client
NovaMed
Service
AI Platform, Cloud Modernization
Industry
HealthTech
Stack
React, Next.js, Node.js, Python (FastAPI), PostgreSQL, Redis, AWS (ECS/Lambda/S3), Terraform
Challenge
Clinics struggled with slow intake and inconsistent triage. Data lived in silos, manual reviews delayed care, and compliance requirements made change risky. The goal: build a secure, reliable platform that aggregates patient data, assists triage with AI, and integrates cleanly with existing systems.
Our Solution
We designed a cloud-native platform with role-based access, audit logging, and encryption by default. Structured data flows into a unified store; an orchestration layer evaluates AI suggestions with guardrails and human-in-the-loop review. CI/CD, automated testing, and observability keep releases safe and fast.
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HIPAA-aligned privacy and security controls
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CRole-based access, SSO, and audit logs
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AI triage with guardrails and review
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Event-driven data ingestion and ETL
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End-to-end monitoring: logs, metrics, traces
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CI/CD with automated tests and rollbacks
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Accessible, responsive clinician UI
The Solution
Architecture emphasized security, reliability, and speed. We unified data sources, added an orchestration layer for AI suggestions, and instrumented everything for visibility. The result is a platform teams can trust in production.
Secure by default: encryption, least privilege, audit
Unified data: streaming ingestion and normalization
AI orchestration: evaluation and human oversight
Observability: SLOs, alerts, and cost budgets
The Impact
Measured outcomes after launch across three pilot clinics over 90 days.
-38% triage time per patient
+21% accuracy on urgency classification
99.95% uptime (p95 < 250ms)
-32% run cost per 1k triage events
Conclusion
SmartHealth demonstrates how applied AI, strong privacy, and modern cloud can accelerate care without sacrificing safety. Clear ownership, automated checks, and observability turned risky change into a predictable, repeatable product practice.
Data Engineering
Reliable pipelines for structured and unstructured health data with quality checks and lineage.
Patient Experience
Fast, accessible interfaces for clinicians and patients, tested across devices and assistive tech.
Development
Secure, testable services with CI/CD, code reviews, and automated rollbacks.