VolView Insight: A Unified Platform for Imaging, Clinical Data, and Multimodal AI
As the volume and complexity of clinical data continue to grow, researchers and product developers face a persistent challenge: creating AI-ready workflows that can integrate seamlessly with imaging systems and electronic health records (EHRs). Traditional, proprietary solutions are often fragmented and rigid, which limits interoperability with PACS (Picture Archiving and Communication Systems), slows innovation, and creates barriers to deploying multimodal AI in real-world clinical environments.
VolView Insight addresses this challenge. Developed by Kitware, it is an open, extensible platform that unifies medical imaging, EHR data, and AI into a single web-based environment. Built on open standards and open source technologies, VolView Insight enables clinicians, researchers, and product developers to visualize, analyze, and prototype multimodal AI applications in a clinical context, without the friction of proprietary lock-in.
A Seamful Integration for Clinical AI
In healthcare, well-defined connection points between systems are critical for interoperability, transparency, and trust. VolView Insight is designed around these integration points, enabling data to flow securely and efficiently across the clinical ecosystem.
VolView Insight connects:
- PACS via DICOM/DICOMweb – providing real-time access to radiology images from systems such as Orthanc or AWS HealthImaging.
- EHR via FHIR – delivering structured patient data from servers like HAPI FHIR or AWS HealthLake.
- AI Models and Pipelines – supporting frameworks such as MONAI for imaging AI and multimodal foundation models like MedGeMMA for advanced image–text reasoning.
- Browser-Based Visualization – offering GPU-accelerated rendering with VolView for 2D/3D radiology views, annotation tools, and cinematic volume rendering directly in the browser.
This unified workspace brings imaging, clinical metadata, and AI inference into a single analytic environment that supports both point-of-care use and research-driven innovation.
Two Primary Use Cases
- For Researchers
VolView Insight provides a testbed for prototyping, training, and evaluating multimodal AI models. By unifying imaging data and EHR records, it creates a realistic environment for experimentation and validation, reducing the gap between research pipelines and clinical reality. - For Product Developers
The platform accelerates the creation of production-ready healthcare AI applications. Its modular architecture enables integration of imaging and structured data into custom pipelines, while offering plugin-ready AI support for rapid deployment at scale.
Standards-Driven Interoperability and Security
VolView Insight is built on open standards that enable interoperability, data security, and alignment with evolving healthcare regulations. By leveraging widely adopted frameworks, the platform ensures that imaging, structured EHR data, and AI outputs can be integrated and shared safely across systems.
It supports:
- USCDI & US Core – aligning with national interoperability priorities for consistent data exchange.
- HL7 FHIR APIs – standardized interfaces for secure EHR integration, supporting the 21st Century Cures Act requirements.
- SMART on FHIR – authenticated, role-based access to patient health information for both providers and patients.
This standards-driven approach enables real-time integration of multimodal data from DICOM imaging to labs, notes, and diagnoses while maintaining compatibility with industry regulations and security best practices.
Extensible and Customizable
VolView Insight’s architecture is modular at every layer:
- Frontend – browser-based viewer, easily extended for custom visualization or presentation needs.
- Backend – drop-in support for AI frameworks such as MONAI, ONNX, or MedGeMMA for inference.
- Data Sources – flexible integration with multiple PACS and FHIR servers.
- Deployment – adaptable for local, cloud, or hybrid environments.
With this flexibility, teams can build pipelines for multimodal inference, configure analysis panels for clinical deployment, and even connect to cutting-edge large medical-domain models for real-time interaction with imaging and health records.
See VolView Insight in Action
VolView Insight demonstrates how imaging, EHR, and multimodal AI can coexist in a unified environment, bridging the gap between research innovation and clinical deployment.
- Watch our demo video to see the platform in action.
- Schedule a live demo to explore how VolView Insight can be tailored to your research or product development needs.
At Kitware, we don’t just adapt to evolving clinical workflows; we help define them. With decades of expertise in open source platforms, imaging, and AI, our team is ready to partner with you in building the next generation of healthcare applications.