Comprehensive guides, clinical role workflows, diagnostic AI specifications, and interoperability standards for modern enterprise medical imaging.
Unified cloud-native Radiology Information System (RIS) and high-throughput PACS.
ClinicalRIS is a comprehensive, enterprise-tier Medical Imaging and Radiology Information System designed for hospitals, outpatient imaging chains, and teleradiology networks. The platform unifies scheduling, patient intake, DICOM archival, sub-second web viewing, AI-assisted quantitative analysis, and electronic diagnostic reporting in a single zero-footprint web application.
Multi-tenant DICOM 3.0 archival with automated tenant partitioning, instant image retrieval, and lossless medical compression.
High-performance WebGL2 canvas supporting single-slice X-Rays, multi-thousand slice CT/MRI volumes, 2D MPR, and native 3D volume rendering.
Deep learning computer vision for automated organ segmentation, calcium scoring, vessel plaque quantification, and LLM report synthesis.
Native HL7 FHIR R4 resources, DICOMweb (WADO-RS / QIDO-RS), and automated Modality Worklist (MWL) synchronization.
Diagnostic worklist triage, multi-modality image analysis, prior study comparison, and verified electronic signing.
The Radiologist workstation is engineered for high-efficiency reading, minimal fatigue, and complete diagnostic accuracy.
Digital computerized physician order entry (CPOE), real-time notification alerts, and interactive study review.
Referring physicians enjoy immediate digital access to their patients' imaging pipeline without waiting for physical media or courier reports.
Modality worklist querying, scanner DICOM routing, quality control, and browser-based multi-file upload.
Technologists manage patient flow at the scanner console and ensure image data integrity before studies enter the diagnostic interpretation queue.
Modality scanners query scheduled appointments via DICOM C-FIND MWL. When patients check in at reception, their demographics and accession numbers immediately populate the scanner console, eliminating manual typing and transcription errors.
Upon scan completion, modalities push acquired image slices directly to the ClinicalRIS cloud node using standard DICOM C-STORE over secure TLS connections. Studies are automatically indexed and paired with patient records.
For external disks, referral CDs, or legacy equipment, technologists can drag and drop raw DICOM folders into the web interface. Slices are parsed, validated, anonymized if requested, and ingested into the patient record.
Frictionless check-in, paperless digital intake signatures, online payments, and secure zero-login patient links.
ClinicalRIS eliminates paper forms, front-desk queues, and patient friction with modern digital engagement tools.
Pre-exam questionnaires and contrast consents are sent digitally to patient devices or tablets for touch e-signatures before examination.
Patients receive tamper-proof, time-sensitive links via SMS, WhatsApp, or Email. Access is verified using Date of Birth (DOB) authentication with zero passwords.
Patients review their scans on smartphones or desktops with full touch gestures, interactive slice scrolling, and verified PDF report downloads.
Integrated online billing allows patients to view itemized fee estimates and settle co-pays with secure credit card and mobile wallet checkout.
Deep learning volumetric segmentation, automated clinical measurements, and dual-pipeline fallback safety.
ClinicalRIS integrates deep learning models directly within the diagnostic workflow to augment clinician productivity and provide objective quantification.
Automated detection and volumetric scoring of calcified plaques in the left main, LAD, circumflex, and RCA coronary arteries with percentile stratification.
Semi-automated 3D vessel centerline extraction, lumen cross-sectional profiling, and NASCET/ECST stenosis percentage calculation.
Automated end-diastolic (ED) and end-systolic (ES) ventricular contouring, ejection fraction (EF) estimation, and myocardial strain curves.
Generates reconstructed panoramic orthopantomograms from 3D cone-beam CT volumes and maps mandibular nerve canals for implant planning.
Instant single-click measurement of cardiac transverse dimension versus internal thoracic diameter on posteroanterior (PA) chest radiographs.
All AI inference runs through an enterprise high-throughput execution gateway. If cloud accelerator connectivity experiences latency or interruption, the platform seamlessly switches to deterministic local CPU-bound mathematical fallbacks, ensuring zero workflow stoppage.
Sub-second streaming, multi-planar reconstruction (2D MPR), 3D volume rendering, and touch workstation grids.
The ClinicalRIS Diagnostic Viewer is a client-side WebGL2 diagnostic imaging workstation capable of rendering massive imaging studies in standard web browsers.
Switch instantly between 1x1 Single, 1x2 Split (ideal for prior comparison), 2x2 Four-Up, 2D MPR (Axial, Coronal, Sagittal), and 3D Volume rendering via the Layout Selector tool.
Cascaded nearest-slice streaming pre-buffers visible slices in memory cache, enabling smooth 60fps mouse-wheel scrubbing across 2,000+ slice CT exams without network hitching.
One-click clinical windowing presets for Lung, Bone, Soft Tissue, Brain, Mediastinum, and Liver, with fine-grained right-click interactive leveling.
Structured 2-row touch grid on mobile devices provides 40px touch targets, pinch-to-zoom gestures, multi-touch pan, and full screen orientation locking.
Standards-based clinical connectivity with EHR, EMR, PACS, and hospital information systems.
ClinicalRIS adheres strictly to international healthcare informatics standards to ensure seamless integration into existing hospital ecosystems.
Full support for core FHIR resources: /api/fhir/Patient (demographic interchange), /api/fhir/DiagnosticReport (structured final reports), /api/fhir/Observation (quantitative AI values), and /api/fhir/ServiceRequest (incoming imaging orders).
Standardized HTTP access to imaging datasets via WADO-RS (Retrieve study/series/instance metadata and rendered frames), QIDO-RS (Query studies and series), and STOW-RS (Store web-uploaded DICOM instances).
Subscribe external EHR systems to instant event notifications: study.received, report.preliminary, report.finalized, and critical_finding.flagged.
Enterprise security posture, cryptographic encryption, multi-tenant isolation, and audit trails.
Protected Health Information (PHI) is safeguarded at every layer of the ClinicalRIS architecture according to HIPAA Security Rules and GDPR standards.
All data in transit is encrypted using TLS 1.3 with forward secrecy. All patient records, reports, and DICOM archives at rest are encrypted using AES-256.
Tenant data schemas enforce strict boundary segregation. Center users can never access data belonging to other imaging organizations without explicit cross-center delegation.
Fine-grained permissions distinguish Superadmin, Center Admin, Radiologist, Referring Physician, Technologist, and Receptionist roles with principle-of-least-privilege enforcement.
Every view, export, update, and signature event is recorded in immutable audit logs containing user identifiers, timestamps, and client IP signatures.
Hardware recommendations and browser compatibility requirements for diagnostic workstations.
Because dense 3D and 2D MPR volume reconstruction executes in the client's WebGL context, adhering to recommended specifications guarantees optimal sub-second performance.
| Component | Minimum Specification | Recommended Workstation |
|---|---|---|
| Web Browser | Chrome, Edge, Firefox, or Safari (Latest 2 versions) | Google Chrome or Microsoft Edge (WebGL 2.0 Enabled) |
| System RAM | 8 GB RAM | 16 GB to 32 GB RAM (for 1,500+ slice CT/MRI volumes) |
| Graphics / GPU | Integrated GPU with WebGL 2.0 support | Dedicated 4 GB+ VRAM (NVIDIA / AMD) or Apple Silicon (M-Series) |
| Display Resolution | 1920 × 1080 (1080p) | Dual 1440p or 4K DICOM-calibrated diagnostic monitors |
| Network Bandwidth | 10 Mbps download | 50+ Mbps low-latency broadband or fiber connection |
Common operational inquiries, user guidance, and technical support escalation pathways.
Access our secure developer API reference, review FHIR specifications, or connect with our engineering team.