Review Policy

Content Review and Correction Policy

PTCB Coach AI content review policy covering internal editorial review, fact checking, educational quality checks, update cadence, revision history, and corrections.

Best Short Answer

How Review Works

PTCB Coach AI uses internal editorial review, source checks for high-risk topics, educational quality review, and correction handling. We do not describe content as pharmacist-reviewed unless a credentialed reviewer is documented.

Review Layers

What We Check Before Publication

  • Accuracy against available official or authoritative references.
  • Alignment with public PTCE domains and educational intent.
  • Clear separation between technician tasks and pharmacist judgment.
  • Grammar, wording clarity, and answer-explanation usefulness.
  • AI-use boundaries, disclaimers, and source links where needed.

Update Schedule

Maintenance Priorities

Pages are prioritized for review based on risk and user impact. High-risk law, medication, safety, privacy, and calculation pages receive more attention than evergreen study-planning pages. Time-sensitive content is reviewed against its date context.

Corrections

How Users Can Report Issues

Users can report inaccuracies, outdated references, unclear explanations, broken links, or AI-response issues through the Contact and Corrections page. Helpful reports include the page URL, exact statement, concern, and any official source that supports the correction.

FAQ

Common Questions

How often is content reviewed?

Core practice, hub, and high-risk reference pages are prioritized for regular review. Time-sensitive pages are checked against their date context, and outdated pages are updated or de-emphasized.

How are corrections handled?

Reported issues are checked against page context and official sources when available. If a correction is needed, the affected page is updated and the reviewed or updated date is refreshed.

Do pages have revision history?

The public site shows last updated or last reviewed dates. Internal changes are tracked in the codebase and should be summarized publicly when a material correction affects user understanding.