Healthcare
Secure, HIPAA-compliant patient analytics & AI pipelines
Provider network12 sitesUnited States
The problem
Leadership needed a population-health view across twelve sites, but PHI could not leave the compliance boundary. Every analysis waited weeks for de-identified extracts; a previous vendor's proposal died in security review. The network was data-rich and decision-poor, readmissions were being managed on intuition.
What shipped
- Governed lakehouse deployed inside the client's own cloud tenancy
- De-identification at ingestion; PHI never crosses the boundary
- Readmission-risk models with clinician-readable audit trails
- Row-level, role-based access mapped to clinical duty
Problem-to-production blueprint
1DiagnosisData-boundary and compliance mapping, worked jointly with privacy counsel before any architecture.
2Architecture & PoCTenancy-resident lakehouse design; de-identification proven on one site's historical data.
3Production engineeringTwelve-site rollout with access controls, audit trails and readmission models in the loop.
4Integration & stewardshipClinician dashboards, model monitoring, and a quarterly compliance review cadence the client now runs.
Outcomes
Same dayTime to insight, was 3 wks
0.84Readmission AUC, from 0.68
ZeroPHI incidents in 24 mo
Inside your boundary
Analytics and AI that never move PHI out of your tenancy.
Governed by design, audited end to end, and owned by your team at handover.