Krinex Clinical Intelligence Methodology
METHODOLOGY
Our clinical intelligence methodology ensures that every case is evaluated with depth, consistency and clinical rigor — combining AI-powered analysis with physician oversight at every step.
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6
100%
Workflow Stages
Specialty Packs
Physician-Reviewed
Clinical Intelligence Workflow
01
Patient Intake
Collect structured and unstructured medical records
Convert documents and images into structured data
02
03
OCR & Data Extraction
Normalize and structure clinical information
04
Multi-model AI analysis and pattern detection
05
Generate insights, recommendations and next steps
06
Expert review and final clinical decision
07
Clear, personalized and actionable report.
AI Clinical Analysis
Medical Record Structuring
Clinical Decision Support
Physician Review & Approval
Patient Report
Clinical Intelligence Pillars
The core components of our clinical assessment methodology.
Evidence Quality Assessment
Evaluate the quality and diversity of clinical evidence to determine reliability and confidence.
Data Completeness Check
Assess whether all critical information required for a clinical decision is available.
Clinical Priority & Risk
Identify urgency and potential risks based on clinical indicators.
AI Clinical Synthesis
Generate structured clinical summaries, impressions and key findings.
Clinical Decision Support
Provide evidence-based recommendations and specialist guidance.
Human Oversight
All recommendations are reviewed and approved by qualified physicians.
Safeguards & Limitations
Not a Replacement
Based on Available Data
Guideline Informed
Continuous Validation
Krinex AI supports physicians; it does not replace clinical judgment.
Outputs are limited to the quality and completeness of the provided data.
Our models are informed by international clinical guidelines and best practices.
Models are continuously validated, audited and improved.
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