AI Development · Healthcare
AI Development for Healthcare — Clinical-Workflow-Aware AI
Healthcare AI isn't a chatbot demo. It's RAG over clinical guidelines, symptom triage with explainability, no-show prediction with calibrated probabilities — and HIPAA-aligned data handling at every step.
The problem
Most clinical AI products fail clinical-workflow integration: they suggest answers without citations, surface confidence scores nobody trusts, and ignore HIPAA scope. We build AI that fits in the clinician's day, not the demo deck.
Our approach
RAG over clinical guidelines with citations
Hybrid retrieval (vector + keyword), strict source-grounded generation, citations in every answer. Evaluator harness with golden questions calibrated to clinical accuracy.
Triage with calibrated probabilities
Symptom-checker outputs are calibrated to real triage outcomes, not raw model logits. Clinician override is first-class — they see the reasoning.
HIPAA-aligned LLM provider choice
We pick LLM providers with BAA support (Azure OpenAI, Anthropic Bedrock, self-hosted) — and design data flows so PHI never crosses providers that don't sign one.
Features we routinely ship
- RAG over clinical guidelines and SOPs
- AI symptom triage with explainability
- No-show and re-admission prediction
- Document and prescription extraction (OCR + LLM)
- Auto-charting from voice / transcript
- Patient intake chat with handoff to staff
- Cost monitoring per query
- Eval harness with golden datasets
- Audit-log of every AI decision
- Guardrails for safety and hallucinations
Compliance considerations
Pricing and timeline
Price range
$25,000 – $120,000
USD, fixed-cost after written scope
Timeline
10 – 18 weeks
From scoping to production
FAQ
How long does ai development for Healthcare take?
10 – 18 weeks. We share a fixed timeline after a 30-minute scoping call.
How much does it cost?
Most engagements range from $25,000 to $120,000. Final fixed-cost quote is provided after written scope.
Have you shipped this combination before?
We have delivered targeted projects in this combination. Public case studies and references are available on a 30-minute call.
What compliance considerations apply?
Key considerations: HIPAA-aligned data flows, BAA-capable LLM providers, Audit-log immutability. We design for these from week one rather than retrofitting at audit time.
Building ai development for Healthcare?
Tell us your scope. We'll come back with a fixed-cost proposal and a delivery plan within 48 hours — staffed with engineers who ship this combination in production.
Get a proposal