Azure · Healthcare Provider
Clinician copilot deployed across 40+ hospitals — 3× faster chart summarization.
We deployed a private-cloud clinician copilot across a 40+ hospital network on Azure, using RAG over HL7/FHIR feeds to summarize charts and draft notes.
[Chart summarization]
3×
[Doc time]
-50%
[Hospitals live]
40+
[ The Problem ]
Where the business was stuck.
Clinicians drowned in EHR notes and spent hours on documentation instead of patient care.
[ Key Challenges ]
- ▸Clinician documentation burden = 2+ hours per shift
- ▸Patient data cannot leave the tenant
- ▸Legacy EHR integration via HL7 v2
Our approach
How we engineered
the outcome.
STEP 01
Private Azure OpenAI deployment in tenant VPC
STEP 02
HL7/FHIR ingestion into a governed clinical lake
STEP 03
RAG copilot embedded in the clinician workflow
[ Solution highlights ]
Delivered — measured — in production.
- ✓Chart summarization 3× faster
- ✓Note drafting time cut by half
- ✓Zero PHI leaves the tenant
[ Tech stack ]
Built on Azure.
Azure OpenAI
AKS
FHIR
pgvector
"
Our clinicians got hours back per shift — that's the whole game.
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