KRINEX.AIÂ Intelligence Platform
The Platform
Six layers. One integrated architecture. Every output physician-validated.Â
Every recommendation evidence-traceable.
Platform Layers
Purpose
Ingest, parse, and normalise all clinical inputs into machine-readable structured data
Inputs
Discharge summaries, lab panels, imaging reports, EHR exports, patient documents (multilingual)
Business Value
Eliminates manual data preparation; handles fragmented records from multiple providers
Purpose
Extract clinical entities, identify patterns, raise risk flags — AI surfaces signals, does not make decisions
Inputs
Normalised structured clinical data from Layer 1
Business Value
Processes thousands of clinical data points in seconds; confidence scoring flags low-certainty findings for review
Purpose
Map AI findings to established clinical guidelines, evidence hierarchies, and treatment pathways
Inputs
AI-extracted clinical entities + curated library of NICE, EMA, and specialty society guidelines
Business Value
Grounds machine analysis in established clinical science; distinguishes RCT evidence from expert opinion
Purpose
Map AI findings to established clinical guidelines, evidence hierarchies, and treatment pathways
Inputs
AI-extracted clinical entities + curated library of NICE, EMA, and specialty society guidelines
Business Value
Grounds machine analysis in established clinical science; distinguishes RCT evidence from expert opinion
No output reaches a patient, provider, or insurer without senior physician sign-off. This layer cannot be bypassed.
Purpose
Senior physician validates, annotates, and approves every AI-generated finding before delivery
Inputs
Structured decision-support output from Layer 4, presented in a structured physician review interface
Business Value
Complete medico-legal accountability trail; full override capability; physician credentials linked to every output
Purpose
Attach complete provenance record to every output — source citations, audit logs, version history
Inputs
Physician-validated output from Layer 5 + all intermediate analysis records
Business Value
Supports regulatory submission, insurance pre-authorisation, medico-legal review, and clinical audit requirements
Platform Operations
Operational Workflow Management
Krinex supports case lifecycle management, review workflows, delivery tracking, and partner-facing operational coordination across the platform.
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Case status tracking from intake to delivery — In Review, Ready to Send, Completed
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Red flag visibility at case list level — urgent cases surfaced immediately
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Suitability and urgency classification visible without opening individual cases
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Partner-level access with case search and status filter capabilities
01
01 Raw Clinical Data
02
Patient intake, uploaded evidence, clinical documents
02 AI Analysis
Entity extraction, pattern recognition, clinical briefing generation
IP
IP Intelligence Pack Applied
Applied Specialist reasoning framework activates — domain-specific clinical logic
CV
CV Coverage Validation
Coverage score computed, assessment gaps identified and documented
RF
RF Risk Flags
Elevated-attention findings surfaced for physician prioritisation
DS
DS Decision Support
Decision points mapped, specialist question agenda generated
PR
PR Physician Review
Qualified physician validates, amends, and approves — mandatory step
ET
ET Evidence Traceability
Every output linked to source evidence — full audit trail
Platform Layer Mapping
Layer 01 — Data
Raw Clinical Data
Layer 02 — AI
Layer 03 — Knowledge
AI Analysis
Layer 04 — Decision
Intelligence Pack ★
Coverage + Risk Flags ★
Layer 05 — Human
Physician Review ★
Layer 06 — Governance
Evidence Traceability
Healthcare Intelligence Platform
The Intelligence Pack is the clinical reasoning layer between AI analysis and physician review. It transforms raw AI output into structured, validated, physician-ready intelligence.