Research waits months for data access. PHI crosses boundaries it shouldn't. HIPAA audits find surprises. Process at point of care. Comply by default.
See How It WorksProcess and anonymize at point of care, not downstream
Research teams buried in pipeline maintenance, not discovery
Moving sensitive data across regions creates compliance risk
Delayed insights impacting patient outcomes and trial speed
Clinical data needs alignment, qualification, and governance for AI-powered research and care.
Learn About AI-Ready Data →Add semantic meaning to medical device data. Convert HL7/FHIR streams to structured, analyzable formats.
Enforce data quality standards at the point of care. Route incomplete records for review automatically.
PHI de-identification before data moves. Audit trails built-in for compliance verification.
Snowflake for analytics. Databricks for AI. Splunk for security. Datadog for observability. Expanso sits upstream - sending clean, governed data to all of them.
Expanso filters out the noise at the edge before it ever reaches your data lake. Use our ROI calculator to see how much you could save.
Expanso processes and anonymizes patient data at the point of care before it moves to central platforms. Our automated governance policies ensure PHI is de-identified, encrypted, and compliant with HIPAA requirements at every stage. Data transformations are tracked with full lineage, providing audit trails for compliance verification.
The short answer: Epic, Cerner, Meditech, AWS HealthLake, Snowflake Health Data Cloud, and most HL7/FHIR sources. The longer answer: you don't have to wait 18 months for your EHR vendor to build an integration. We process at the edge - the data your EHR exports gets transformed and governed before it touches analytics. Your Epic instance doesn't know we exist.
ROI varies by deployment, but healthcare customers typically reduce data infrastructure costs significantly and see major reductions in compliance-related incidents. By processing data at the point of care, organizations eliminate costly data movement and reduce HIPAA violation risks. We're happy to share specific case studies relevant to your situation.
Trial data processes locally at each site. Only de-identified insights get shared between locations. This maintains patient privacy, complies with regional data sovereignty requirements, and accelerates research outcomes without centralizing sensitive PHI.
Yes. Expanso processes medical device and IoT data at the edge in real-time, enabling immediate clinical alerts while maintaining HIPAA compliance. Critical events trigger instant notifications while all data transformations maintain full audit trails for regulatory compliance.