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Trial Site Inconsistency

Multi-Site Trials.
Inconsistent Grading.
FDA Problems.

When Site A grades fatigue as Grade 2 and Site B grades identical symptoms as Grade 3, your trial integrity is compromised. Protocol deviations multiply. FDA questions pile up.

67% baseline agreement between oncologists at different sites

15% protocol deviation rate from inconsistent AE grading

6-month average delay in FDA review due to data quality issues

Burna AI for Clinical Trials

95.8% Inter-Site Agreement

AI-powered CTCAE grading ensures every site grades adverse events identically, every time. Automatic drug attribution, protocol deviation detection, and FDA-ready documentation.

95.8% consistency across sites

94% drug attribution accuracy

85% reduction in deviations

<2 hours for FDA reports

The Cost of Inconsistency

Why Trial Sites Struggle with CTCAE Grading

Inconsistent Grading Across Sites

Impact:

Different sites grade identical symptoms differently, creating data inconsistencies

Consequence:

FDA questions during submission, potential study integrity issues

Average 6-month delay in FDA review

67% baseline inter-rater agreement

Drug Attribution Disagreements

Impact:

Investigators disagree on which drug caused adverse event

Consequence:

Delayed safety reports, missed safety signals

$50K-200K per delayed SAE report

72% baseline attribution accuracy

Manual Safety Monitoring

Impact:

Retrospective analysis misses real-time safety signals

Consequence:

Patient safety risks, potential trial suspension

Immeasurable patient safety risk

15% protocol deviation rate

Proven Results

Built for Clinical Trial Excellence

Every feature designed to ensure trial integrity, regulatory compliance, and multi-site consistency.

95.8%

Inter-site grading agreement

94%

Drug attribution accuracy

85%

Reduction in AE-related protocol deviations

<2 hours

Time to generate FDA safety report

Trial-Specific Features

Standardized CTCAE Grading

AI ensures every site applies CTCAE criteria identically

Automatic Drug Attribution

AI analyzes timing, mechanism, and patient history for attribution

Real-Time Safety Monitoring

Detect concerning patterns across all sites instantly

FDA-Compliant Documentation

Auto-generate MedWatch forms and safety reports

Financial Impact

Trial Cost Savings

$600K

Saved per multi-center trial

85% reduction in protocol deviations

6 months average

Faster FDA submission

= $30M in market value

50

Deviations prevented per trial

Across 20 sites

Ready to Ensure Trial Integrity?

Join clinical trial oncologists using Burna AI to achieve 95.8% inter-site consistency and faster FDA submissions.

For Clinical Trials - 95.8% Inter-Site Agreement | Burna AI - CTCAE AI Copilot