A compliant data lake for modern healthcare
Unify Epic, Oracle Health, claims, and HL7/FHIR feeds into one HIPAA-aware lake — PHI auto-masked and every access logged — so you can build a longitudinal patient record, run population health, and power research without putting protected data at risk.
What slows healthcare down
Every concern below maps to a specific Autolake capability — not a roadmap promise.
Clinical data trapped in silos
EHRs, labs, imaging, devices, and billing rarely share a common model, fragmenting the patient picture across a dozen systems that don't speak to each other.
Autolake ingests Epic, Oracle Health, claims clearinghouses, and HL7/FHIR feeds into one governed lake and resolves patient identity into a single longitudinal record — schema evolution absorbs each vendor's format changes automatically.
HL7/FHIR ingestion + identity resolutionHIPAA and PHI risk on every copy
Protected health information demands strict access control and complete audit trails — guarantees that loose, hand-built pipelines and ungoverned extracts simply can't make.
Column-level PII/PHI detection masks and encrypts sensitive fields automatically, fine-grained access control gates them by role, and every access is logged — all inside your own AWS environment.
Auto PHI detection & maskingInteroperability that's slow and brittle
HL7, FHIR, and proprietary formats make integration projects expensive, fragile, and perpetually behind — every new feed is another custom build.
Pre-built connectors and no-code, self-healing pipelines stand up new clinical and claims feeds in minutes instead of months, and recover from source outages on their own.
No-code · Self-healing pipelinesBuilt for healthcare
An autonomous, AWS-native data lake — governed, traceable, and running in your own account.
EHR, claims & device ingestion
Land data from Epic, Oracle Health, MEDITECH, claims clearinghouses, and HL7/FHIR feeds with governed, repeatable pipelines and schema evolution built in.
HL7 / FHIR readyHIPAA-aware governance
PHI is auto-detected, masked, encrypted, and access-logged at the lake level — inside your own AWS environment, evidenced for every audit.
Auto PHI maskingLongitudinal patient view
Resolve patient identity across EHR, lab, and claims systems into one governed, lineage-backed record care and analytics teams can trust.
Identity resolutionResearch & analytics ready
Serve de-identified, reproducible datasets to analytics and ML teams with full provenance and Time Travel — 21 CFR Part 11-aligned for studies.
Lineage + Time TravelPut it to work
Population health
Combine clinical and claims data to find care gaps, stratify risk, and manage at-risk cohorts proactively.
Operational analytics
Optimize capacity, throughput, length-of-stay, and cost with unified operational and clinical data.
Clinical research
Power studies on governed, de-identified datasets with reproducible, 21 CFR Part 11-aligned lineage.
Turn fragmented clinical data into better outcomes — on a lake that keeps PHI protected and provable.
See Autolake on your own data — book a 30-minute walkthrough.