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Clinical and regulatory awareness

An orientation for people in regulated roles. It describes where AI may support administrative and drafting work and where qualified people, validated systems and your quality system decide.

Last reviewed . AI products change quickly; check the linked sources before relying on details.

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Production warning

This page is general education, not regulatory, legal or quality advice. Requirements differ by jurisdiction, product and phase. Confirm what is allowed with your QA and regulatory teams before using any AI tool on regulated work.

Awareness-level uses

These are lower-risk uses when the inputs are public or de-identified and a person reviews the output:

  • Reading support. Summarise a public guidance document you supply and turn it into a draft list of topics for the team to discuss, with quotes back to the text.
  • Change awareness. Highlight differences between two versions of a public document, as a prompt for proper impact assessment.
  • Drafting aids. Outline agendas, cover emails, meeting actions and training outlines built from approved documents.
  • Plain-language drafts. First drafts of lay explanations from published material, for medical and regulatory review.
  • Consistency editing. Find inconsistent terms or abbreviations in your own drafts.
  • Question preparation. Prepare questions for a meeting with a regulator or CRO, to be answered by qualified staff.

What responsible use needs

Review loop for regulatory and clinical draftsAn AI draft is unofficial. Every statement is checked against its source, a named qualified person reviews and stays accountable, and only then does it go through your quality process. If the review finds problems, the draft is revised and re-checked.AI draftunofficial,assistance onlyCheck sourcesevery statementlinked to sourceQualified reviewa named personstays accountableQuality processapproved underyour QA systemProblems found: revise and re-check

Validation

If an AI tool influences a GxP-relevant process or record, your quality system may require it to be assessed and validated for its intended use. A general chat assistant has not been validated for your purpose. Ask QA before using one in any regulated workflow.

Auditability and traceability

Be able to show who used which tool, with which inputs, producing which output, and who approved it. Where electronic records and signatures rules apply (for example FDA 21 CFR Part 11), ask your QA team how AI-assisted drafting fits. Keep source documents linked to every statement.

Change management

Models and tools change without notice. A prompt that worked last quarter may behave differently now. Record the tool and version, re-test important prompts after updates, and treat a tool change like any other change to a process.

Organisational policy

Follow your organisation's AI policy, data classification rules and vendor approvals. Cover privacy law obligations (for example EU GDPR, HIPAA) with your privacy officer, and ICH GCP expectations for trial conduct and records with clinical quality. Where no policy exists, ask for one before you start.

Human accountability

A named, qualified person remains accountable for every regulatory and clinical document. AI assistance does not move that accountability.

What AI must not do here

  • Make or recommend eligibility, dosing, safety causality or other clinical decisions for real patients or participants.
  • Generate or alter data, results, case report forms, source documents or records.
  • Decide regulatory strategy, classification or compliance status, or declare a document compliant, approved or ready for submission.
  • Handle identifiable patient information, unblinded data or confidential submission content in a tool that is not approved.
  • Write text that enters a controlled procedure, protocol or label without the normal authoring, review and approval route.
  • Act as the sole check on another AI output.

Prompts for this module

Turn a guidance document into a working checklist

Convert public guidance text you supply into a draft checklist for your regulatory team to review.

Regulatory affairs
Use it for
Getting a starting structure from public guidance for internal discussion.
Who it is for
Regulatory affairs, quality
You will need
  • Public guidance text (with title, issuer, date and version)
  • Your product type and jurisdiction
What you get back
A checklist with quotes, items flagged for interpretation.
Human reviewer
Regulatory affairs lead (with QA where relevant)
Prompt
Below is public regulatory guidance text with its title, issuer and date: [DETAILS]. Convert it into a draft checklist of topics a team should confirm. For each item, quote the sentence it comes from. Do not add requirements that are not in the text. Mark any item that depends on product-specific facts as NEEDS REGULATORY INTERPRETATION. State that this is not regulatory advice.

[PASTE TEXT]

Check the output, safety and limits

Verify

  • Confirm the guidance version is current on the issuer's website
  • Have regulatory staff check each item against the original

Safety and privacy

  • Do not include unpublished product or submission details.

Limitations

  • Cannot decide what applies to your product.
  • Guidance changes; the model may not know the latest version.

Learn more: Clinical and regulatory awareness

Summarise differences between two versions of a public document

Highlight what changed between two versions of public guidance, for the team to verify.

Regulatory affairs
Use it for
Awareness of changes before a proper regulatory impact assessment.
Who it is for
Regulatory affairs, quality
You will need
  • Old version text
  • New version text
  • Document identifiers and dates
What you get back
A side-by-side change list with quotes and no impact judgement.
Human reviewer
Regulatory affairs lead
Prompt
Compare the two versions of [DOCUMENT NAME] below (old dated [DATE], new dated [DATE]). List sections that were added, removed or reworded, quoting both versions side by side. Do not judge impact or compliance. Say clearly where you are unsure whether a change is substantive.

OLD:
[TEXT]

NEW:
[TEXT]

Check the output, safety and limits

Verify

  • Use a document compare tool to confirm the list is complete
  • Regulatory staff assess impact

Safety and privacy

  • Public documents only unless your tool is approved.

Limitations

  • May miss subtle wording changes.
  • Not an impact assessment.

Learn more: Clinical and regulatory awareness

Meeting notes to action list (de-identified)

Turn de-identified meeting notes into decisions, actions, owners and open questions.

Clinical operations
Use it for
Admin follow-up for internal meetings that contain no patient or confidential trial data.
Who it is for
Clinical operations, project managers
You will need
  • De-identified notes
  • Attendee roles (not names if sensitive)
What you get back
A short structured list of decisions, actions, questions and risks.
Human reviewer
Meeting chair or study manager
Prompt
From the notes below, list: decisions made, actions (owner role, due date if stated), open questions and risks raised. Use only what is in the notes. If an owner or date is not stated, write NOT STATED. Do not invent actions.

[PASTE NOTES]

Check the output, safety and limits

Verify

  • Attendees confirm the list against their own notes
  • File decisions in your controlled system, not only in the AI output

Safety and privacy

  • Remove patient identifiers, site-level subject data and unblinded information first.
  • Do not paste confidential trial data, identifiable patient information or unpublished proprietary research into a service your organisation has not approved.

Limitations

  • Can attach actions to the wrong person.
  • Not a record of decisions for GCP or quality purposes.

Learn more: Clinical and regulatory awareness · Lab operations

Draft a training outline from an approved document

Create a learning outline from a document your organisation has already approved.

Clinical operations
Use it for
Structuring a briefing or quiz from an approved procedure or protocol summary.
Who it is for
Clinical operations, training coordinators
You will need
  • Approved document text (approved tool only)
  • Audience and time available
What you get back
A sectioned outline, objectives and source-linked questions.
Human reviewer
Process owner and QA
Prompt
Using only the approved text below, draft a training outline for [AUDIENCE] lasting [TIME]. Give learning objectives, key points with the section they come from, and 5 comprehension questions with answers pointing back to the text. Do not add steps or requirements that are not in the text.

[PASTE APPROVED TEXT]

Check the output, safety and limits

Verify

  • Compare every point with the approved document
  • Route finished material through your training document control

Safety and privacy

  • Protocols and SOPs may be confidential. Use approved tools only.

Limitations

  • Training content built from AI output is not approved until your process approves it.

Learn more: Lab operations

Frequently asked questions

Can I use ChatGPT for regulatory submissions?

No. AI must not decide regulatory strategy or classification, or declare a document compliant, approved or ready for submission. Confidential submission content must not go into an unapproved tool. A named, qualified person remains accountable for every regulatory document. This is general education, not regulatory, legal or quality advice.

What are low-risk uses of AI in clinical operations and regulatory affairs?

When inputs are public or de-identified and a person reviews the output, uses include summarising a public guidance document you supply, highlighting differences between two public document versions, drafting agendas and meeting actions, and consistency editing of your own drafts. These are prompts for proper review, not decisions.

Does an AI tool need to be validated for GxP work?

It may. If an AI tool influences a GxP-relevant process or record, your quality system may require it to be assessed and validated for its intended use. A general chat assistant has not been validated for your purpose, so ask QA before using one in any regulated workflow.

Can AI make clinical decisions such as dosing or eligibility?

No. AI must not make or recommend eligibility, dosing, safety causality or other clinical decisions for real patients or participants. It must also not generate or alter data, results, case report forms or source documents, and it must not be the sole check on another AI output.

How should regulated teams manage changes to AI tools?

Models and tools change without notice, and a prompt that worked last quarter may behave differently now. Record the tool and version, re-test important prompts after updates, and treat a tool change like any other change to a process. Be able to show who used which tool and who approved the output.

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