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Engine 2 of 4 • Clinical Reasoning

OmniReasonX

RAG-Powered Clinical Report Generation

Transform annotations and findings into structured, compliant clinical reports in seconds. OmniReasonX leverages Retrieval-Augmented Generation with specialty-specific language models to produce accurate, citation-backed reports grounded in medical literature.

<5s
Report Generation
11+
Languages
FHIR
Compliant
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OmniReasonX — Report Generation
OmniReasonX Report Generation
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Knowledge Base
50,000+ Sources
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Standards
RECIST • BI-RADS
The Challenge

Clinical Reporting is a Bottleneck

Radiologists and clinicians spend hours typing reports — translating visual findings into structured text, applying standardized classifications, and ensuring compliance with reporting guidelines. This repetitive documentation takes time away from diagnosis and patient care.

Traditional voice dictation and templates help, but they don't understand clinical context. They can't apply RECIST criteria automatically, cite relevant guidelines, or generate FHIR-compliant structured data for interoperability.

  • Average 15-20 minutes per radiology report
  • Inconsistent application of BI-RADS, LI-RADS, PI-RADS classifications
  • Manual FHIR encoding for NDHM/ABDM integration
  • No citations to guidelines or literature
OmniLabelX Annotation Canvas
Key Features

Intelligent Report Generation

From annotations to structured, compliant clinical reports — powered by retrieval-augmented generation and specialty-specific language models.

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RAG Pipeline

Retrieval-Augmented Generation using Qdrant vector database over 50,000+ embedded clinical guidelines, ICMR recommendations, and peer-reviewed literature.

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Dynamic SLM Provisioning

Specialty-specific LoRA/QLoRA adapters on Llama-3-8B base model. Each customer gets fine-tuned models trained on their reporting style and preferences.

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Structured Reporting

Automatic generation of RECIST 1.1, BI-RADS, LI-RADS, PI-RADS, Lung-RADS compliant reports with proper staging, classification, and recommendations.

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Multi-Language Support

Generate reports in Hindi and 10+ Indian languages. Medical terminology preserved accurately with automatic translation and transliteration.

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Source Citations

Every AI-generated statement includes citations to source guidelines and literature. Full traceability for clinical accountability.

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FHIR Integration

Output as FHIR DiagnosticReport, Observation, and DocumentReference resources. Ready for NDHM/ABDM health information exchange.

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Human-in-the-Loop

AI generates draft reports; clinicians review, edit, and approve. All changes tracked for continuous model improvement.

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Template Library

Extensive library of report templates for different modalities, specialties, and clinical scenarios. Customizable to match institutional preferences.

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Privacy Preserving

All processing happens within India. Patient data never sent to external APIs. On-premise deployment available for maximum control.

Architecture

How RAG Powers OmniReasonX

Our Retrieval-Augmented Generation pipeline combines vector search with fine-tuned language models to generate accurate, grounded clinical reports.

1

Query Formation

Annotation data, measurements, and clinical context from OmniLabelX are converted into semantic queries. The system identifies what clinical knowledge is needed for the report.

2

Vector Retrieval

Qdrant searches our knowledge base of 50,000+ embedded chunks from ICMR guidelines, ACR appropriateness criteria, SNOMED-CT, and clinical literature to find the most relevant context.

3

Context Assembly

Top-k relevant documents are assembled as context for the language model. This includes applicable classification criteria, normal value ranges, and reporting recommendations.

4

Report Generation

Llama-3-8B with specialty-specific LoRA adapter generates the structured report. Each claim is grounded in retrieved context with inline citations.

5

Validation & Export

Output is validated against structured schemas and clinical rules. Exported as FHIR resources, PDF, or integrated directly into EMR.

Knowledge Base

Grounded in Authoritative Sources

OmniReasonX retrieves from a curated, continuously updated knowledge base of clinical guidelines and medical literature.

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ICMR Guidelines
Indian Council of Medical Research
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SNOMED-CT India
Clinical Terminology
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ICD-10 / ICD-11
Disease Classification
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LOINC
Lab & Clinical Codes
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RadioGraphics
RSNA Publications
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ACR Guidelines
Appropriateness Criteria
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WHO Standards
Global Health Guidelines
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Specialty Guidelines
ESMO, AHA, IDSA, etc.
Structured Reporting

Built-in Reporting Standards

Automatic application of internationally recognized reporting classifications and staging systems.

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RECIST 1.1

Response Evaluation Criteria in Solid Tumors

Automated tracking of target lesions, non-target lesions, and new lesions. Calculates sum of diameters and determines response classification (CR, PR, SD, PD).

Target Lesion Tracking Baseline Comparison Response Classification Waterfall Plots
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BI-RADS

Breast Imaging Reporting and Data System

Standardized mammography and breast ultrasound reporting. Automatic categorization from 0-6 with appropriate management recommendations.

Categories 0-6 Density Classification Findings Lexicon Management Recommendations
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LI-RADS

Liver Imaging Reporting and Data System

HCC surveillance and diagnosis reporting. Applies major and ancillary features to categorize observations from LR-1 (definitely benign) to LR-5 (definitely HCC).

LR-1 to LR-5 LR-M, LR-TIV Ancillary Features Treatment Response
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PI-RADS

Prostate Imaging Reporting and Data System

Multiparametric MRI assessment for prostate cancer detection. Combines T2W, DWI, and DCE findings into a standardized 1-5 category score.

T2W Scoring DWI Assessment DCE Evaluation Sector Mapping
Accessibility

Reports in Your Language

OmniReasonX generates reports in Hindi and 10+ Indian languages, making clinical information accessible to patients across India.

🇮🇳 English
🇮🇳 Hindi (हिंदी)
🇮🇳 Bengali (বাংলা)
🇮🇳 Tamil (தமிழ்)
🇮🇳 Telugu (తెలుగు)
🇮🇳 Marathi (मराठी)
🇮🇳 Gujarati (ગુજરાતી)
🇮🇳 Kannada (ಕನ್ನಡ)
🇮🇳 Malayalam (മലയാളം)
🇮🇳 Punjabi (ਪੰਜਾਬੀ)
🇮🇳 Odia (ଓଡ଼ିଆ)
Specifications

Technical Details

Specification Details
Base Model Llama-3-8B with specialty LoRA/QLoRA adapters
Vector Database Qdrant with 50,000+ embedded clinical documents
Embedding Model PubMedBERT / BioBERT for clinical text
Report Generation Time <5 seconds for typical radiology report
Output Formats FHIR DiagnosticReport, PDF, DOCX, HL7 CDA, Plain Text
Supported Standards RECIST 1.1, BI-RADS, LI-RADS, PI-RADS, Lung-RADS, TI-RADS
Languages English + 10 Indian languages
FHIR Version R5 (backward compatible with R4)
Integration REST APIs, Webhooks, Direct EMR integration
Deployment Cloud (India), On-premise, Hybrid
Platform Integration

Seamless Workflow Integration

OmniReasonX takes annotations from OmniLabelX, generates reports, and feeds structured data to OmniModelX for analytics and OmniWeaveX for federated learning.

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OmniLabelX
Annotations as input
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OmniModelX
Structured data for analytics
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OmniWeaveX
Reports for federated learning

Transform Your Reporting Workflow

See how OmniReasonX can generate accurate, compliant clinical reports in seconds — freeing your clinicians to focus on patient care.

Schedule a Demo → View Pricing