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◎ Clinical Evidence & Consistency Engine · Aurelyn AI Clinical

Cross-Document Integrity
for Clinical Submissions

AI-powered consistency validation and evidence traceability across your protocol, SAP, CSR, and regulatory submissions. Catch discrepancies before they reach regulators. Accelerate your submission quality review.

8Core Capabilities
Protocol → CSRFull Traceability
ICH E3Structure Aligned
IND / NDASubmission Ready
ICH E3 CSR Guidance ICH E9 Statistical Principles ICH E6(R3) GCP FDA NDA/BLA Submissions EMA CTD / Module 5 ALCOA+

Platform Overview

The Consistency Challenge
in Clinical Submissions

The Status Quo Problem
  • Protocol endpoints described differently in the CSR than in the SAP
  • Statistical outputs in the CSR that don't match the programmed analysis
  • Clinical evidence cited without traceable sourcing to source documents
  • Regulatory queries about inconsistencies discovered after submission
  • Medical writers spending weeks on manual cross-document reconciliation
  • Late-stage quality reviews that find critical inconsistencies too close to deadline
The Engine's Solution
  • Automated protocol-to-CSR endpoint and population consistency check
  • AI statistical output reconciliation against pre-specified analysis plan
  • Evidence citation mapping with verified source document traceability
  • Proactive discrepancy detection before submission — not after
  • AI-assisted medical writing with consistency guardrails built in
  • Continuous submission quality dashboard updated as documents evolve

Regulatory submissions are the culmination of years of clinical work — and a single discrepancy between documents can trigger a major amendment request, delay approval, or create compliance risk. The Clinical Evidence & Consistency Engine brings AI intelligence to the quality assurance challenge that's most critical and least automated: ensuring that your protocol, statistical analysis plan, clinical study report, and supplementary analyses tell a coherent, traceable, and consistent story.

🔗 Integrated with Aurelyn AI Clinical

The Clinical Evidence Engine receives study documentation from the eTMF Intelligence Engine and operational data from the Clinical Trial OS — ensuring that the evidence layer has complete, version-controlled access to all source documents from across the trial lifecycle.

Core Capabilities

Eight Capabilities for Submission Integrity

From protocol review to final submission quality scoring — eight AI-powered capabilities that work together to ensure your clinical evidence is consistent, traceable, and regulator-ready.

🔄
Protocol-to-CSR Consistency Validation
AI compares study objectives, endpoints, populations, and statistical methods between the protocol, amendments, and final CSR — flagging any statement that has drifted from the protocol-defined scope.
📐
SAP-to-CSR Statistical Reconciliation
Every statistical table, figure, and listing in the CSR is cross-referenced against the pre-specified Statistical Analysis Plan — detecting analysis population discrepancies, unplanned analyses, and numeric inconsistencies.
🗺️
Evidence Tracing & Citation Mapping
Every clinical claim in the CSR is traced to a verifiable source — whether a data listing, literature reference, or regulatory source document. Claims without traceable evidence are flagged for review.
Cross-Document Discrepancy Detection
AI identifies factual inconsistencies across all documents in the submission package — including patient numbers, dosing information, adverse event rates, and timeline statements — across every pair of related documents.
✍️
Medical Writing Acceleration
AI-assisted CSR drafting that generates section-level content grounded in source data, populates standard ICH E3 sections, and maintains in-document consistency as the report evolves through multiple review cycles.
📬
Regulatory Query Response Support
When regulators issue questions about your submission, the engine identifies the relevant evidence, cross-references source documents, and assists in drafting responses that are consistent with the original submission package.
📊
Submission Quality Dashboard
A real-time submission quality score with breakdown by document, section, and discrepancy type. Tracks resolution of identified issues through the quality cycle with audit trail of all changes.
⚠️
Regulatory Risk Scoring
Prioritizes identified discrepancies by regulatory risk level — distinguishing critical inconsistencies that could trigger a Complete Response Letter from minor formatting issues — so teams address the highest-risk items first.

How It Works

From Document Ingestion
to Submission Confidence

The Clinical Evidence Engine works continuously as your submission package develops — not as a one-time review gate at the end of the process.

01
Ingestion & Indexing

Load Your Submission Document Set

Ingest your protocol and all amendments, the Statistical Analysis Plan, Clinical Study Report drafts, annotated CRF, all statistical outputs (TFLs), and relevant source documents. The engine creates a unified evidence index across the full document set.

02
Evidence Mapping

Map Clinical Evidence and Statement Lineage

AI traces every factual claim in the CSR to its source — data listings, literature references, regulatory precedents, or protocol-defined parameters. This creates a complete evidence map for your submission with gaps identified for human review.

03
Consistency Validation

Validate Consistency Across All Document Pairs

The engine systematically compares all document pairs for consistency — Protocol vs. SAP, SAP vs. CSR, CSR vs. statistical outputs, and CSR vs. regulatory precedents. Every discrepancy is categorized by type, severity, and regulatory risk.

04
Quality Reporting

Generate a Prioritized Quality Report

A comprehensive submission quality report prioritizes all identified issues by regulatory risk level. The report serves as the medical writer's and biostatistician's working document for the final quality cycle — with tracked resolution and sign-off capability.

Document Coverage

Every Document in Your Submission Package

The engine covers all key documents in a clinical regulatory submission — and tracks consistency across every pair.

Core Protocol
Clinical Protocol
All versions and amendments. Source of truth for study design and endpoint definitions.
Statistical
Statistical Analysis Plan (SAP)
Pre-specified analysis definitions, populations, endpoints, and TFL shells.
Primary Report
Clinical Study Report (CSR)
ICH E3 structured report with all sections from synopsis to appendices.
Statistical Outputs
Tables, Figures & Listings
All programmed statistical outputs — efficacy, safety, and pharmacokinetic analyses.
Data Collection
Annotated CRF
Case report form annotations mapping data fields to analysis datasets.
Informed Consent
ICF Templates
Consistency of risk information, procedures, and study design descriptions.
Investigator
Investigator Brochure
Safety and pharmacology information consistent with submission package claims.
Submission
Module 2 Summaries
CTD Module 2 clinical and statistical summaries cross-referenced to CSR data.

Built For

The Clinical Submission Team

✍️
Medical Writer
AI drafting assistance, in-document consistency guardrails, and automated citation mapping — so more time goes to scientific quality, less to manual cross-checking.
📐
Biostatistician
SAP-to-output reconciliation, analysis population verification, and statistical consistency reporting across TFLs and the CSR narrative.
📋
Regulatory Affairs
Submission package quality scoring, regulatory risk prioritization, query response support, and ICH E3 structure compliance monitoring.
🔬
Clinical Scientist
Protocol-to-CSR endpoint traceability, evidence map review, and clinical narrative consistency validation across the submission.
QA Reviewer
Prioritized discrepancy reports, risk-stratified issue lists, resolution tracking, and audit trail of all quality review activities.

Ecosystem

Connects to Your Submission Infrastructure

The Clinical Evidence Engine integrates with your authoring, statistics, and regulatory publishing tools — and with the broader Aurelyn AI Clinical platform for full lifecycle intelligence.

Aurelyn AI Platform
Clinical Trial OS · eTMF Intelligence Engine · Unified evidence data layer
Medical Writing & Authoring
Veeva Vault Medical · Document Studio · Microsoft Word (add-in) · Adobe
Statistical Computing
SAS · R · CDISC ADaM/SDTM · Pinnacle 21 · Medidata Rave
Regulatory Publishing
Lorenz docuBridge · ISC Publishing · Veeva RIM · FDA ESG · EMA EVWEB
Document Management
Veeva Vault eTMF · SharePoint · OpenText · Documentum
Collaboration
Microsoft Teams · SharePoint · Confluence · Slack · Box

Eliminate Submission
Inconsistencies at the Source

See how the Clinical Evidence & Consistency Engine transforms submission quality from a last-minute scramble to a continuous, AI-supported process.

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