Patient data requires different handling than most enterprise information. HIPAA violations carry real penalties. We build Foundry systems that maintain compliance while actually being useful.
Healthcare data lives in too many places. EHR systems, billing platforms, lab systems, imaging archives, claims databases. Each has its own data model, its own access controls, its own timeline for updates.
Getting a complete view of what's happening—patient outcomes, operational efficiency, resource utilization—requires integrating all of this. But you can't just dump everything into a data lake. PHI requires proper access controls, audit logging, and encryption. State breach notification laws mean mistakes are expensive.
Real-time view of what's happening across facilities. Patient flow, bed capacity, procedure scheduling, staffing levels. Data comes from multiple systems—ADT feeds, scheduling platforms, staffing software. Foundry brings it together with appropriate access controls so different roles see what they need.
Health systems work with affiliated physicians, partner hospitals, and external specialists. Each is a separate organization with their own systems and their own patients. Building a comprehensive view requires multi-organization architecture with careful security boundaries.
We use Foundry's organization and space features to model these relationships—shared data where appropriate, isolated data where required, restricted views that enforce which organization can see which patients.
Understanding patient populations requires linking clinical data, claims data, social determinants, and outcomes across time. This isn't simple aggregation—it's longitudinal analysis with proper patient matching and deduplication across disparate systems.
We design ontologies that model patients, encounters, diagnoses, procedures, and medications in ways that support the questions analysts actually need to answer. Not generic healthcare ontologies—ones specific to your workflows and reporting requirements.
Clinical research needs access to patient data without compromising privacy. This means proper de-identification, limited datasets, and controls that enforce researcher permissions based on approved protocols.
Foundry can handle this, but the architecture matters. We build pipelines that de-identify appropriately, restricted views that enforce researcher access rules, and audit trails that satisfy IRB requirements.
Foundry itself can be configured for HIPAA compliance, but that doesn't mean your implementation is compliant. You still need proper access controls, encryption at rest and in transit, audit logging, and procedures for breach response.
We design architectures that maintain compliance—role-based access tied to job function, audit logs that track who accessed what PHI, data retention policies that match your requirements. We document the security controls for your compliance team.
Epic, Cerner, Meditech—each has different integration approaches. HL7 feeds for ADT, FHIR APIs for some data, bulk exports for others. We've worked with all of them and know how to get data out reliably.
837 claim files, 835 remittances, eligibility checking. This data uses different identifiers and different timelines than clinical data. Matching claims to encounters requires careful logic.
Results come from LIS and RIS systems, often with their own patient matching rules. Integrating requires understanding their data models and how to handle the inevitable mismatches.
Healthcare IT projects move slowly for good reasons—security reviews, compliance validation, vendor coordination, privacy impact assessments. Simple integrations still take months. Complex multi-system implementations take longer.
We can't make compliance reviews move faster, but we can avoid the mistakes that cause delays—proper security architecture from the start, documentation that satisfies auditors, testing that catches problems before they reach production.
Tell us about your healthcare data challenges and compliance requirements.
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