Compliance ready application development
We build web, mobile, and platform applications with HIPAA's Privacy and Security Rules designed in — access controls, audit logging, encryption in transit and at rest, and least-privilege handling of PHI. Compliance shapes the architecture; it isn't patched on at the end.
- –Patient portals and engagement platforms
- –Telehealth and virtual care applications
- –Clinical and administrative workflow tools
- –Provider facing dashboards and internal systems
Interoperability & integration
We connect the systems that were never designed to talk to each other. Whether it's an EHR, a lab system, a billing platform, or a third-party API, we build integrations that move clinical and administrative data reliably and securely — using healthcare's own standards instead of brittle custom glue.
- –HL7 v2, FHIR, and CDA interface development
- –EHR integrations across Epic, Cerner, and others
- –Lab, imaging, and pharmacy system connectivity
- –API gateways and secure data exchange
Secure cloud architecture & migration
We design and migrate healthcare workloads to the cloud without loosening the controls PHI demands. Encryption, access control, network isolation, and auditability are part of the architecture from the start, so you get the scale and flexibility of the cloud on a foundation that holds up under an audit.
- –HIPAA-aligned architecture on AWS, Azure, or GCP
- –Migration of clinical and administrative workloads
- –High-availability and disaster-recovery design
- –Encryption, key management, and network isolation
Healthcare data engineering & analytics
Healthcare generates enormous amounts of data that rarely reaches the people who could act on it. We build the pipelines, warehouses, and reporting layers that turn scattered clinical, operational, and financial data into something usable — governed, de-identified where needed, and ready for analytics.
- –Clinical and claims data pipelines
- –Data warehouses and lakehouses for reporting
- –De-identification and governance for secondary use
- –Dashboards and analytics for operational insight
AI & ML, applied responsibly
We apply machine learning where it genuinely helps and say so plainly where it doesn't. In healthcare that means models that are validated, explainable, and kept away from decisions they shouldn't make — with a human in the loop wherever patient safety is on the line.
- –Clinical documentation and workflow automation
- –Predictive and risk-stratification models
- –Validation, monitoring, and bias evaluation
- –Human-in-the-loop design for care decisions
Legacy modernization
Much of healthcare runs on platforms built decades ago that can't easily change but can't be switched off either. We modernize them incrementally — integrating, refactoring, and replacing piece by piece — so you cut risk and cost without interrupting care or a single day of operations.
- –Strangler-fig migrations off aging platforms
- –Incremental refactoring without downtime
- –Re-platforming and API enablement of legacy systems
- –Knowledge transfer and documentation for your team