Novel: The Next-Generation Web-Based Diagnostic Viewer

Medical imaging is entering a new era—where speed, mobility, and intelligent workflows matter more than ever. Traditional PACS and workstation-bound viewers, once considered state-of-the-art, now struggle to meet the expectations of modern radiology: instant access, collaborative workflows, cost-efficient infrastructure, seamless reporting, and readiness for AI.

Novel, the next-generation web-based diagnostic viewer developed by MINNOVAA, was built precisely for this shift. It blends the power of an enterprise-grade PACS with the accessibility of a zero-footprint web viewer—delivering a unified, fast, secure, and clinically advanced imaging experience. Novel is not a viewer attached to a PACS; Novel is the PACS and the viewer together.

 

 Introducing Novel — A Modern Imaging Platform Designed for the Future

 

Novel redefines what a web-based diagnostic viewer can be. Instead of simply allowing images to be “viewed in a browser,” Novel delivers a full diagnostic-ready experience through the web—complete with advanced tools, real-time rendering, optimized streaming, and deeply integrated workflows.

Built on state-of-the-art web technologies (HTML5, WebGL, optimized DICOM streaming), Novel enables radiologists and clinicians to access diagnostic-quality images from any device, anywhere, without installation or plugins.

Whether accessed from a workstation, laptop, tablet, or even mobile phone, Novel ensures a consistently fast, stable, and secure viewing experience.

Zero-Footprint, Fully Web-Based Architecture

Novel’s architecture eliminates the traditional dependency on workstation installations, thick clients, or local configurations.

✔ No installation

✔ No dedicated hardware

✔ Access from any browser, any OS, any device

This zero-footprint approach dramatically simplifies deployment across imaging centers, reduces IT maintenance costs, and enables radiologists to work remotely with full diagnostic capability.

Optimized Performance: Faster Image Delivery, Smarter Streaming

Novel intelligently handles DICOM data to deliver exceptional performance:

  • Adaptive, progressive streaming for fast first-interaction
  • Smart prefetch to load relevant series before the user navigates
  • JPEG-2000 and advanced compression for high-quality yet storage-efficient images
  • Optimized memory management for large studies and heavy multi-series work

For the user, this translates into a smooth, instant, and latency-minimal experience—whether working onsite or remotely.

Advanced Tools for Diagnostic-Grade Interpretation

Novel is equipped with a comprehensive suite of advanced imaging tools, enabling radiologists to make accurate, rapid, and confident decisions—all through the web.

🔹 Multi-Planar Reconstruction (MPR)

Axial, sagittal, coronal, oblique—intuitive and fluid navigation through volumetric data.

🔹 DSA (Digital Subtraction Angiography)

Automated subtraction and vessel enhancement for vascular studies.

🔹 Smart Hanging Protocol

Automatically arranges multi-series exams into optimal diagnostic layouts, synchronizing priors and streamlining the radiologist’s reading workflow.

🔹 Comprehensive Annotation Suite

Measurements, angles, freehand, ROI, reference lines, key objects, and more.

All powered by responsive rendering, fast interaction, and a clean, radiologist-centric interface.

 

Unified Reporting Workflow — Diagnose and Report Without Switching Systems

Novel deeply integrates viewing with reporting—eliminating the disconnect that exists between traditional PACS and Reporting Systems.

Key reporting capabilities include:

  • Structured report templates
  • Keyboard shortcuts and smart text automation
  • Speech-to-text integration
  • Voice reporting
  • Observation tagging
  • Digital signature support
  • Side-by-side view and documentation workflow

Radiologists can create and finalize diagnostic reports directly while viewing images—streamlined, coherent, and optimized for speed.

Enterprise-Grade Security & Compliance

Designed for mission-critical medical environments, Novel adheres to strict security and interoperability standards:

  • End-to-end encrypted communication
  • Role-based access control
  • Full audit trails
  • VPN/SSL secure gateway
  • Strict compliance with DICOM & IHE profiles
  • Seamless integration with RIS/HIS

Novel ensures that clinical data remains protected at every stage—access, transmission, storage, and sharing.

Seamless Connectivity, Sharing & Multi-Center Readiness

Novel enables secure sharing without CDs, films, or downloads:

  • Auto-generated secure sharing links for physicians and patients
  • Mobile-friendly viewer for remote consultations
  • Multi-center architecture ready for networks and teleradiology
  • Unified user access across locations and devices

This flexibility empowers imaging centers to expand services, optimize workflows, and operate more efficiently across distributed teams.

AI-Ready by Design — Powered by the Zharfa Ecosystem

Novel integrates natively with Zharfa, MINNOVAA’s AI-enabler platform, to bring machine intelligence directly into the diagnostic workflow.

  • Inline AI inference
  • Automated triage
  • Model-based quantitative analysis

Novel is built to embrace the future of AI-driven radiology—not as an add-on but as a core capability.

A Complete Imaging Ecosystem — Not Just a Viewer

With Novel, imaging centers receive:

  • PACS Server
  • Web Viewer
  • Advanced Visualization Tools
  • Workflow & Reporting Engine
  • Storage Optimization
  • AI Integration (via Zharfa)
  • Multi-center scalability
  • All in one unified and modern

Conclusion — Redefining the Standard for Web-Based Diagnostic Imaging

Novel represents a new standard for what medical imaging software should be:

  • fast,
  • secure,
  • intelligent,
  • accessible,
  • clinically powerful,
  • and future-ready.

 

For imaging centers seeking to upgrade their workflow, eliminate legacy limitations, and prepare for an AI-driven future, Novel is not just an option—it is the evolution of diagnostic imaging.

 

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