Software for Healthcare

Our AI-powered coding agents handle repetitive development tasks — boilerplate code, test generation, documentation — allowing our engineers to focus on complex healthcare logic. This typically reduces development timelines by 30–50% compared to traditional approaches.

Yes. HIPAA compliance is built into our development process from day one. We implement encryption, access controls, audit logging, and data handling practices that meet HIPAA requirements, and our agentic tools enforce security standards automatically during development.

We integrate with EHR/EMR systems (Epic, Cerner, Allscripts), HL7/FHIR standards, lab systems, imaging platforms (PACS/DICOM), billing systems, and third-party APIs. Our team has experience building interoperable healthcare software across the full clinical and administrative stack.

We work with both. Whether you are a digital health startup building your first MVP or a hospital system modernizing legacy platforms, our dedicated teams scale to fit your project needs and budget.

Every project includes automated testing, code reviews, and security audits as part of our standard process. Our agentic development tools also run continuous static analysis and vulnerability checks during coding, catching issues before they reach production.

Healthcare software development is the process of designing, building, and deploying digital systems for clinical and administrative use — including EHR platforms, telehealth tools, clinical AI assistants, and compliance infrastructure. Healthcare software must meet HIPAA requirements, integrate with existing health systems, and maintain rigorous standards for data security and patient safety.

Timeline depends on scope. A focused MVP with HIPAA-compliant data handling, basic EHR integration, and clinical AI features typically takes 10-16 weeks with our agentic development process. Traditional timelines for the same scope are 20-30 weeks. Our pipeline enforces HIPAA standards continuously during development, eliminating the compliance review phases that extend traditional projects.

HL7 is the older messaging standard used by most legacy EHR systems for clinical data exchange. FHIR (Fast Healthcare Interoperability Resources) is the modern API-based standard built on REST and JSON, used by Epic, Cerner, and most new health platforms. We build with FHIR when possible for forward compatibility, and support HL7 v2 and v3 integration when the client system requires it.

Yes, with caveats. Clinical AI assistants that surface information, suggest options, or automate administrative tasks can be built and deployed safely with proper validation. AI systems that make autonomous clinical decisions require regulatory clearance (FDA 510(k) or De Novo pathway in the US). We build the product and pipeline architecture to support the appropriate level of AI autonomy for each use case.

We have built an agentic development pipeline for a medical AI assistant used in emergency room settings, achieving 5x development velocity and 85% fewer QA rejections. We also transformed a prototype clinical AI assistant into a production-ready platform with full CI/CD pipeline, used by cross-functional medical teams. Both case studies are linked in the case studies section above.