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Review what changed. Not the whole protocol.

AI-assisted protocol and document version analysis for Pharma and CRO teams.

Use document intelligence to analyze protocol content, surface relevant information, and focus expert review on the sections and changes that matter.

A new version shouldn’t mean starting the review from page one.

  • Protocols evolve.
  • Amendments are introduced.
  • Criteria change.
  • Study requirements are updated.

But understanding the impact of a new document version often means manually reviewing large amounts of familiar content again.

Market4Health’s document intelligence architecture is built around a problem it already solves in medical policies: preserving document history and helping users trace how documents evolve over time.

Protocol Comparison applies this approach to protocol-heavy clinical workflows.

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Keep document versions connected

Understand a document as a history — not a collection of unrelated files.

Maintain previous and current document versions within the same analysis workflow. Navigate version history. Review the evolution of the document. Identify where further comparison is required.

Market4Health currently preserves more than two years of medical-policy document change history, demonstrating an established version-history architecture.

Know which version you’re reviewing and where it sits in the document history.


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Find the criteria that matter

Search protocol content using natural language.

Ask questions about eligibility criteria, interventions, conditions, endpoints, or other relevant protocol content.

Use AI-powered search to locate the sections and documents related to the review question.

Find the relevant content before comparing it.


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Use structured medical knowledge to improve review

Market4Health’s knowledge-extraction engine already identifies diseases and conditions in medical document content and maps them to ICD-11.

Its classification engine identifies therapeutic areas and types of health intervention.

These capabilities provide a technical foundation for identifying medically relevant protocol content and structuring protocol analysis.


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Summarize document context

Generate AI-assisted document summaries to quickly understand protocol scope and content.

Use summaries to orient new project team members. Identify areas requiring detailed review. Return to the underlying document for expert verification.

AI helps narrow the review. Experts assess the impact.

Protocol-heavy clinical workflows

CRO clinical operations teams

Pharma clinical development teams

Study managers

Clinical project teams

Medical writing & document review workflows