Healthcare Technology
Patient outcomes depend on data flowing securely between systems that were never designed to talk to each other.
Industry Context
Healthcare organizations face a technology landscape defined by contradiction. They generate more data per patient than ever before, yet clinicians still make decisions with incomplete information. Electronic health records are universal, but interoperability remains elusive. AI promises to transform diagnostics and treatment planning, but HIPAA and FDA requirements create compliance barriers that most technology teams are not equipped to navigate.
The organizations succeeding in this environment share a common trait: they treat technology architecture as a clinical capability, not an IT function. They build data platforms that give clinicians the right information at the right time. They implement security architectures that satisfy HIPAA without creating friction. They deploy AI that augments clinical judgment with evidence, not replaces it with black boxes.
How We Help Healthcare Organizations
HIPAA-Compliant Architecture
We design technology platforms that embed HIPAA compliance into the architecture from day one. Encryption at rest and in transit, access controls mapped to clinical roles, audit logging for every data access event, and breach notification procedures tested through tabletop exercises.
Clinical Data Platforms
Unified data platforms that integrate EHR data, lab results, imaging, claims, and patient-generated data into analytical layers supporting population health management, clinical research, and operational optimization.
Interoperability & Integration
FHIR-based API platforms that enable data exchange between EHR systems, payers, labs, pharmacies, and patient applications. HL7 v2 modernization for legacy system integration. CDS Hooks for clinical decision support integration.
AI in Healthcare
Computer vision for medical imaging analysis. NLP for clinical documentation and coding automation. Predictive models for readmission risk, disease progression, and resource utilization. All designed with explainability requirements and clinical validation workflows.
Key Capabilities
- HIPAA-compliant cloud architecture (AWS GovCloud, Azure Healthcare, GCP)
- FHIR R4 API platform design and implementation
- Clinical data warehouse and analytics platform architecture
- EHR integration (Epic, Cerner, Allscripts, MEDITECH)
- Medical imaging AI pipeline architecture (DICOM, PACS integration)
- Clinical NLP for automated coding and documentation
- Patient portal and digital experience platforms
- Telemedicine infrastructure and remote patient monitoring platforms
- FDA Software as a Medical Device (SaMD) compliance architecture
- Population health management data platforms
Industry-Specific Compliance
Healthcare technology must satisfy overlapping regulatory frameworks:
- HIPAA -- Privacy Rule, Security Rule, and Breach Notification requirements
- HITECH -- Enhanced enforcement and expanded breach notification
- 21st Century Cures Act -- Information blocking prohibitions and interoperability mandates
- FDA -- SaMD classification and post-market surveillance for AI/ML medical devices
- State Privacy Laws -- Varying requirements for health data across jurisdictions
Our compliance architecture embeds these requirements into system design, automated testing, and continuous monitoring -- not manual checklists reviewed once a year.