Technology That Transforms Care & Accelerates Discovery

HIPAA compliance is embedded from day one — not retrofitted. We start every healthcare engagement with a HIPAA risk assessment, document Business Associate Agreements (BAAs), and enforce PHI handling controls across all team members. Our architecture reviews include HIPAA Security Rule checkpoints, and we deliver compliance audit packages at project closure. All staff working on healthcare projects hold HIPAA certification.

We have hands-on integration experience with Epic, Cerner (Oracle Health), Allscripts, Meditech, and several regional EHR platforms. Our integrations use HL7 v2.x, HL7 FHIR R4, and CCD/C-CDA standards. We also work with EHR vendor APIs directly and have developed custom connectors for specialized workflows including lab, imaging (DICOM), and pharmacy systems.

Yes. While our primary healthcare cloud expertise is Azure (including Azure Health Data Services, Azure API for FHIR, and Azure ML), we work across multi-cloud environments. For AWS, we utilize HealthLake and related services. For GCP, we leverage Healthcare API and BigQuery. We adapt to your existing cloud strategy rather than forcing migration.

Timelines vary by scope. A focused predictive model (e.g., readmission risk scoring) integrated into an existing EHR typically takes 12–16 weeks from discovery to clinical go-live. Broader clinical analytics platform deployments with multiple use cases typically run 6–12 months. We always deliver a working MVP within the first sprint cycle (4–6 weeks) so you see value quickly before full rollout.

We serve the full healthcare and life sciences spectrum — hospitals, integrated delivery networks (IDNs), health insurance/payers, pharmaceutical companies, biotech firms, medical device manufacturers, and healthcare IT vendors. Our pharma work includes CRM for HCP engagement, clinical trial data platforms, real-world evidence (RWE) analytics, and FDA 21 CFR Part 11 compliant systems.

Our healthcare managed services include 24/7 application monitoring, proactive incident response, quarterly compliance reviews, model drift monitoring for AI solutions, and continuous optimization sprints. We offer tiered SLAs from standard business-hours support to mission-critical 99.99% uptime SLAs with sub-15-minute response times for clinical production systems

We strictly use de-identified or synthetic patient data in development and testing environments — never production PHI. We implement data masking and tokenization pipelines before any data moves into non-production systems. All development environments are isolated, access-controlled, and audited. Production data access is role-based, logged, and reviewed as part of our HIPAA compliance framework.