Case study · Healthcare

Metro Health Clinic automates triage with a HIPAA-ready RAG assistant

Impact

40% faster patient intake assessments

Timeline

12-week pilot, 6-week expansion

Stack

Azure OpenAI, Azure AI Search, On-prem FHIR data lake

Nursing staff previously cross-referenced symptom protocols manually, leading to inconsistent triage notes. The new assistant ingests clinical guidelines and patient handbooks, providing structured recommendations directly inside the EMR.

Solution highlights

On-prem ingestion pipeline with de-identification and automated PHI redaction before vectorisation.
Azure AI Search hybrid retrieval combining clinical pathways, policy manuals, and structured FHIR data.
Guardrail prompts enforce medical disclaimers, escalate edge cases, and log reviewer overrides.

38% faster routing

Staff receive differential diagnosis suggestions within 20 seconds of intake.

Compliance-first design

Meets HIPAA, SOC 2, and internal security baselines with documented audit trails.

Rollout plan

Stakeholder alignment with clinical leadership and IT governance.
Data staging inside a private enclave with nightly refresh jobs.
Simulation drills with anonymised encounters and metrics benchmarking.
Progressive expansion to urgent care, telehealth, and after-hours teams.

Curious how this pattern could work with your care pathways? We can share solution architecture and playbooks.

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