Key Takeaways:
- Taction maintains technology partnerships and active developer relationships with the platforms that power healthcare software — cloud providers, EHR platforms, integration engines, and development frameworks.
- These are not logo badges for marketing. Each partnership represents verified expertise, active certifications, and real project delivery on that platform.
- Our technology choices are driven by what works best for each client’s healthcare project — not by vendor incentives.
Cloud Partnerships
Amazon Web Services (AWS)
Taction deploys the majority of healthcare applications on AWS — the broadest set of HIPAA-eligible services (140+) and the longest healthcare track record among cloud providers.
Services we use most: EC2 and ECS for compute, RDS (PostgreSQL, MySQL) for databases, S3 for encrypted storage, Lambda for serverless processing, API Gateway for API management, CloudTrail and CloudWatch for monitoring and audit logging, AWS HealthLake for FHIR-native data storage, SageMaker for healthcare AI/ML model training and deployment, and GuardDuty for threat detection.
BAA coverage: AWS offers a BAA covering 100+ services. We architect every healthcare deployment to use exclusively BAA-covered services. See our healthcare cloud migration services.
Microsoft Azure
Azure is our recommended platform for organizations with existing Microsoft infrastructure — Active Directory, Office 365, Teams.
Services we use most: Azure App Service and AKS for compute, Azure SQL and Cosmos DB for databases, Azure Blob Storage, Azure Health Data Services (FHIR, DICOM, MedTech), Azure Sentinel for security monitoring, Azure Active Directory for identity management, and Azure Machine Learning for healthcare AI.
BAA coverage: Azure offers a BAA covering core healthcare-relevant services. Azure Health Data Services provides native FHIR, DICOM, and IoMT data handling — purpose-built for healthcare workloads.
Google Cloud Platform (GCP)
GCP serves clients requiring advanced data analytics, BigQuery for large-scale health data analysis, and competitive compute pricing.
Services we use most: Compute Engine and GKE, Cloud SQL, BigQuery for healthcare analytics, Cloud Healthcare API (FHIR, HL7v2, DICOM), and Vertex AI for ML workloads.
EHR Platform Partnerships
Taction maintains active developer program relationships with the major EHR platforms — enabling faster integration, access to sandbox environments, and certification pathways for client applications.
Epic
Active membership in Epic’s developer program. Experience with Open Epic FHIR R4 APIs, App Orchard / Showroom certification, HL7v2 interfaces, and Epic-specific web services. Epic is installed in the majority of large US health systems — and is the EHR we integrate with most frequently.
Oracle Health (Cerner)
Experience with Oracle Health’s Millennium FHIR API, CareAware integration platform, Ignite APIs, and HL7v2 interfaces. Oracle Health benefits from Oracle’s broader cloud and database ecosystem.
Allscripts
Experience with Allscripts Unity API, FHIR endpoints, and HL7v2 interfaces across multiple product lines (Sunrise, TouchWorks, Professional EHR).
athenahealth
Experience with athenahealth Marketplace, FHIR R4 APIs, athenaNet RESTful API, and HL7v2 interfaces. As a cloud-native platform, athenahealth’s API-first architecture generally makes integration more straightforward than legacy on-premises EHRs.
For technical details on EHR integration, see our healthcare integration guide and our EHR/EMR development services.
Integration Engine
Mirth Connect (NextGen Healthcare)
Mirth Connect is the healthcare integration engine we deploy most frequently — powering one-third of all US public Health Information Exchanges. We use it for HL7v2/FHIR/CDA/X12 message transformation, routing, and channel management.
Taction provides Mirth Connect development, migration, and managed services. We maintain expertise across both the legacy open-source edition and the current commercial enterprise edition (version 4.6+).
Development Frameworks and Languages
Frontend
React — Our primary web frontend framework. Component-based architecture, strong ecosystem, server-side rendering via Next.js for performance and SEO.
React Native — Our default cross-platform mobile framework. Single codebase for iOS and Android with near-native performance. Used for the majority of our healthcare mobile apps including telemedicine, RPM, and patient portal applications.
Flutter — Alternative cross-platform framework offered when clients prefer Dart or need specific UI consistency requirements.
Backend
Node.js — Primary backend for real-time applications (telemedicine, messaging, RPM alerts). Async I/O handles concurrent connections efficiently.
Python (Django/Flask) — Primary backend for AI/ML healthcare applications. Strong data science ecosystem with TensorFlow, PyTorch, and Hugging Face integration.
.NET — Enterprise backend for organizations with existing Microsoft infrastructure. Strong in healthcare organizations running Azure.
Databases
PostgreSQL — Our default relational database for healthcare applications. ACID-compliant, excellent for structured clinical data, strong encryption support.
MongoDB — Document database for applications with varied data structures or flexible schema requirements.
Redis — In-memory data store for session management, real-time dashboards, alert queuing, and caching.
Healthcare AI/ML Platforms
TensorFlow and PyTorch — Primary ML frameworks for healthcare model development (clinical decision support, predictive analytics, medical imaging).
Hugging Face Transformers — NLP models for clinical text processing (note summarization, coding automation, clinical trial matching).
MONAI — Medical imaging AI framework for radiology and pathology applications.
AWS SageMaker / Azure ML — BAA-covered cloud ML platforms for HIPAA-compliant model training and inference.
For details on our AI capabilities, see our healthcare AI development services and AI in healthcare guide.
Interoperability Standards
| Standard | What We Use It For |
|---|---|
| HL7 v2 (2.3, 2.4, 2.5.1) | Legacy system interfaces — ADT, orders, results, scheduling |
| FHIR R4 | Modern API-based integrations, patient access, third-party apps |
| SMART on FHIR | Third-party app authorization within EHR contexts |
| CDA / C-CDA | Clinical document exchange, transitions of care |
| X12 (837/835/270/271) | Claims submission, payment remittance, eligibility verification |
| DICOM | Medical imaging storage and transmission |
| NCPDP SCRIPT | e-Prescribing via Surescripts |
| Direct Messaging | Secure clinical communication between providers |
DevOps and Infrastructure
CI/CD: GitHub Actions, GitLab CI, Jenkins — automated build, test, and deployment pipelines with security scanning gates.
Containerization: Docker and Kubernetes (EKS, AKS, GKE) for scalable, reproducible deployments.
Monitoring: Datadog, New Relic, ELK Stack, Mirth Command Center — real-time application performance, security, and integration monitoring.
Infrastructure as Code: Terraform and CloudFormation for reproducible, auditable infrastructure provisioning.
How We Choose Technology
Our technology recommendations are driven by three principles.
Healthcare-first. Every technology choice is evaluated for HIPAA compliance capability, BAA coverage, healthcare ecosystem maturity, and clinical workflow fit. We do not recommend trendy tools that have not been proven in healthcare production environments.
Client-aligned. If your organization runs Azure and .NET, we build on Azure and .NET. If your team knows React, we build in React. We align with your existing ecosystem, not force our preferences.
Long-term sustainable. We choose technologies with strong community support, active maintenance, and clear roadmaps. Healthcare software runs for years — the technology must be maintainable for years.
Explore Our Tech Stack Want to know which technologies fit your healthcare project? Schedule a free consultation and our architects will recommend the right stack. Explore Our Stack →
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