Methodology

Six layers, one standard.

Independent annotation, automated consensus, senior adjudication and a pre-delivery audit. So no single annotator's judgment ever ships unchecked.

Better Data. Better AI. Better Patient Outcomes.

The six layers

Each layer catches what the previous one missed.

Hiring → Calibration → Consensus → Tracking → Senior review → Audit

  1. 01Layer

    Expert Hiring Test

    Every doctor takes a clinical qualification test before joining — dangerous drug interactions, specialty-specific edge cases. Anyone who misses a critical safety error is never deployed on client work.

  2. 02Layer

    Gold-Standard Calibration

    Before every project we complete ten tasks ourselves as the benchmark. New doctors complete the same tasks independently. Only those matching the Gold Standard 8 of 10 proceed.

  3. 03Layer

    Three-Doctor Consensus

    Every task is assigned to three independent doctors. Final answer is the majority vote. Any task where all three disagree is escalated to a senior MD. This alone guarantees 95%+ accuracy.

  4. 04Layer

    Agreement-Rate Tracking

    We track every doctor's weekly agreement rate. Above 85% is excellent. Below 75% triggers coaching. Below 65% for two consecutive weeks removes them from the active pool.

  5. 05Layer

    Senior MD Review Layer

    Top-performing doctors — 90%+ agreement — form a senior tier that adjudicates every escalation. Clients never see unresolved disagreements in delivered data.

  6. 06Layer

    Pre-Delivery Clinical Audit

    We personally review 10% of completed tasks before delivery. If error rate exceeds 5% we hold delivery, investigate root cause, and rerun affected tasks before anything ships.

RESULT · UPTO 95% CLINICAL ACCURACY
Our Doctors

Physicians, not general annotators.

Thousands of qualified Pakistani physicians pass the US licensing exams each year but do not match into US residency. frontiermed gives them a way to put their clinical training to work reviewing the AI systems shaping the next decade of care.

  • USMLE Steps
    Full US medical licensing exam passed
  • MBBS from accredited schools
    Internationally recognised credentials
  • GMC-recognised qualifications
    Accepted in UK, Canada, UAE
  • Active clinical experience
    House officers and practicing physicians
  • Vetted and background-checked
    Verified before any project
How it works

From brief to delivery in days.

Typical turnaround: 500 tasks delivered in 3–5 business days. Rush delivery available. Dedicated project lead on every engagement.

  1. Step 01

    You send data

    AI responses via CSV, JSON or platform access. All de-identified before transfer.

  2. Step 02

    We configure

    Project-specific clinical guidelines, annotation schema in Label Studio, three physicians matched to your clinical domain.

  3. Step 03

    Doctors review

    Three doctors independently rate each response. They never see one another's answers. Label Studio enforces this and tracks agreement.

  4. Step 04

    Quality audit

    We review 10% of completed tasks. Flag disagreements. Rerun anything below threshold. Zero errors reach your delivery.

  5. Step 05

    You receive results

    Clean CSV or JSON with ratings, written explanations and a clinical analysis report identifying your AI's specific failure patterns.

Data security

All work conducted inside a controlled annotation platform. No client data downloaded to personal devices.

See the methodology on your own data.

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