Healthcare
Healthcare patient data mapping & health information chat
Mapped and normalized patient data to power a grounded chat experience where patients can ask questions about their own health information — safely.
Zero
cross-patient data leakage on eval set
>92%
citation-grounded responses
<1.5s
time-to-first-token p50
Challenge
Patient data lived across disparate sources with inconsistent schemas and identifiers. Care teams needed a way for patients to self-serve answers about their records without exposing unrelated data or crossing compliance lines.
Approach
- Designed a canonical patient data model and mapping layer across source systems
- Built permission-aware retrieval so each patient only sees their own context
- Deployed private LLM endpoints with HIPAA-aligned networking and logging
- Added eval battery for faithfulness, PII leakage, and out-of-scope refusal
- Integrated session history intelligence for care-team summaries
Outcomes
Self-serve
answers grounded in patient's own data
Private
endpoints with full audit trail
HIPAA
aligned from day one
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