Methodology
A transparent methodology for clinical audit intelligence.
Follicle Intelligence is designed to convert procedural evidence into structured, benchmarkable, and quality-improving intelligence.
Method Framework
Built for repeatability, traceability, and institutional confidence.
Evidence Capture
Case artefacts, procedural details, and outcomes are ingested into a normalized audit-ready structure.
Data Structuring
Signals are standardized into machine-readable dimensions with quality checks and confidence labels.
Intelligence Computation
Scoring, benchmark mapping, and variance analysis are computed across configurable cohorts.
Confidence and Integrity
Each output is paired with confidence indicators and evidence quality markers for review transparency.
Actionable Insight Layer
Blind spots, training opportunities, and performance drivers are surfaced for focused improvement.
Quality Feedback Loop
Follow-up outcomes are re-audited to measure intervention impact and maturity over time.
Standards and Trust
Methodology layers are aligned with standards-led audit principles and structured to support institutional collaboration, including IIHR advisory alignment.