Integrations
Native connectors for NVIDIA microservices, PACS, EHR, data lakes, and developer tools. Bidirectional data flow with standard protocols and sub-5s latency.
NVIDIA Healthcare Stack
Mergic is the integration and orchestration layer for the complete NVIDIA healthcare and life sciences stack.
Mergic is built on top of Clara, MONAI, Holoscan, Parabricks, BioNeMo, NeMo, and NIM — the complete NVIDIA healthcare and life sciences stack. GPU-accelerated medical imaging, genomics, drug discovery, and large language models — orchestrated through a single governed platform.
GPU-accelerated genome pipeline delivering 20x faster variant calling — whole genomes in under an hour.
Generative AI for drug discovery, protein structure prediction, and molecular docking at scale.
Medical imaging deep learning framework with pre-trained models for segmentation and detection.
End-to-end medical imaging framework for AI development and deployment in radiology and pathology.
Large language model framework for multimodal clinical reasoning and agentic workflows.
Inference microservices for on-prem model deployment with governance, lifecycle controls, and auto-scaling.
Clinical Systems
Pull imaging studies, lab results, patient demographics, and orders from clinical systems. Push back AI-generated findings, structured reports, and clinical decision support alerts — all through standard protocols with full audit trails.
Bidirectional integration with major PACS vendors via DICOMweb for imaging retrieval and AI results storage.
Epic, Cerner, MEDITECH, and Allscripts with structured data extraction and result push-back via FHIR.
Laboratory information systems for genomics, pathology, and clinical lab data ingestion and result routing.
Modern RESTful API for Patient, Observation, DiagnosticReport, and all standard FHIR resources.
ADT, ORU, and ORM message types for patient demographics, orders, and results exchange.
Data Infrastructure
Native connectors to S3, Azure Blob Storage, Google Cloud Storage, MinIO, and Hadoop-compatible file systems for bulk data access, archival, and long-term storage. Automatic partitioning, indexing, and lifecycle management for petabyte-scale biomedical datasets.
Direct integration with S3, S3 Glacier, and AWS HealthLake for HIPAA-compliant data storage and archival.
Azure Storage, Data Lake Gen2, and Azure Health Data Services for multimodal datasets and analytics.
GCS buckets and BigQuery for petabyte-scale genomics and imaging repositories.
Data warehouse integration for structured clinical and research analytics at scale.
Lakehouse architecture for unified batch and streaming data pipelines with Delta Lake.
Developer Tools
Complete OpenAPI specs for every Mergic capability — data ingestion, model inference, governance controls, and pipeline orchestration. SDK support for Python, JavaScript, and Go with typed client libraries, comprehensive documentation, and interactive API explorer. Build custom integrations, dashboards, and automation in hours, not weeks.
OpenAPI 3.1 compliant with versioned endpoints, rate limiting, and comprehensive error codes.
Flexible query interface for front-end teams building custom dashboards and clinical applications.
Idiomatic Python client with async support for data scientists and ML engineers.
Command-line interface for DevOps, CI/CD pipelines, and scripted automation workflows.
Real-time event notifications for pipeline completions, model alerts, and governance triggers.
Kafka and Pulsar connectors for high-throughput streaming integration in real-time workflows.
Integration Workflow
Six stages from data source to clinical output — all governed, all auditable.
PACS, RIS, LIS, EHR, data lake feeds ingest into Mergic through standard connectors.
Normalize, validate, de-identify, and route data through governance policies automatically.
GPU-accelerated inference via NVIDIA stack — imaging, genomics, clinical NLP, and multimodal fusion.
Cross-modal embeddings stored in Mergic Atlas for longitudinal patient and cohort analysis.
Agentic reasoning with evidence links, escalation logic, and human signoff workflows.
Push results back to EHR, PACS, APIs, and webhooks with full provenance and audit trail.
Data Formats
Ingest and process DICOM (CT, MRI, X-ray, ultrasound), whole-slide images (SVS, NDPI, MRXS), genomics data (FASTQ, BAM, CRAM, VCF), clinical messages (HL7v2, FHIR), and unstructured documents (PDF, clinical notes). Every format is parsed, validated, and normalized automatically with metadata preservation.
All imaging modalities — CT, MRI, X-ray, ultrasound, PET — with full metadata preservation and DICOMweb access.
SVS, NDPI, MRXS, and other digital pathology formats with multi-resolution tile serving.
Raw sequencing reads and aligned data with automatic indexing and compression.
Variant calling format for SNPs, indels, SVs with annotation pipelines.
Unstructured medical documents with NLP extraction and entity recognition.
Security & Identity
SAML 2.0 and OpenID Connect SSO with Okta, Azure AD, Google Workspace, and custom identity providers. Fine-grained role-based access control with attribute-based policies for data, models, and inference endpoints. Continuous audit log streaming to SIEM platforms.
Direct integration with enterprise directory services for user provisioning and group management.
Continuous audit log streaming to Splunk, Datadog, Elastic, and other SIEM platforms.
Independently audited security and availability controls with annual recertification.
Business Associate Agreements for all covered entity deployments.
At rest, in transit, and in compute with customer-managed keys (BYOK).
Integration Metrics
Pre-built connectors to clinical systems, data infrastructure, NVIDIA microservices, and developer tools
Median ingestion latency from source to Mergic processing
Bidirectional data flow with conflict resolution and audit
NVIDIA microservices natively integrated into the platform
Data pipeline SLA uptime guarantee across all deployment modes
Deployment
Full Mergic integration layer runs on NVIDIA DGX systems within your data center. All patient data, model weights, and inference logs stay inside your physical perimeter with no external network dependencies. Same API surface, same governance controls, same performance — entirely within your walls.
Deploy on AWS, Azure, or GCP with managed connectors, auto-scaling, and zero infrastructure management.
Dedicated single-tenant environments with private networking and customer-managed encryption keys.
Split workloads across on-prem inference and cloud training with secure data synchronization.
Fully disconnected deployments for classified and ultra-sensitive research environments.
Customer proof
"Mergic connected to our Epic EHR, PACS, and genomics pipeline in under two weeks. The bidirectional data flow means results push back automatically — no manual re-entry."
"We tried building our own NVIDIA integration layer for 18 months. Mergic gave us the same thing, production-ready, in 10 days. The GPU orchestration alone saved us a full engineering team."
"The on-prem deployment runs entirely on our DGX cluster. Zero data leaves our network. Our compliance team signed off in record time because every integration is fully auditable."
FAQ
Common questions from engineering and IT teams evaluating Mergic integrations.
Most standard integrations (EHR, PACS, cloud storage) are production-ready in 1-2 weeks. Custom integrations or complex on-prem environments may take 3-4 weeks depending on your infrastructure and governance requirements.
No. Mergic connects to your existing infrastructure through standard protocols and APIs. We adapt to your architecture — you don't need to modify your PACS, EHR, or data lake configuration.
For on-prem and VPC deployments, all data remains within your network boundary. For cloud deployments, data is stored in your chosen region with encryption at rest and in transit. You control data residency.
Yes. You can start with a single integration — for example, just PACS + MONAI for imaging — and expand over time. Each integration works independently, though they become more powerful together.
We support custom integrations through our SDK, webhook system, and event streams. For legacy systems with proprietary protocols, our Customer Success team works with you to build and validate custom connectors.
Integration coverage
50+ pre-built connectors span clinical systems, genomics infrastructure, cloud platforms, and the NVIDIA microservice ecosystem — reducing integration timelines from months to days.
50+
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DICOMweb
Integrates with your existing stack
Get started
Bring your current PACS, EHR, data lake, and genomics pipeline architecture. We will map the connectors, data flow, and deployment model for your environment.