Medical Writers’ Traffic-Light Guide to Safe AI Use
“Be careful with confidential data” is good advice, but it does not help a writer at 6 p.m. with a deadline and a document open. They need a faster test.
A traffic-light system gives one. Sort your content into green, amber, and red, and let the color decide which tools are acceptable.
This is a starting framework. Your own compliance and legal teams set the final rules.
Green: Public Material
Green content is already public or contains nothing sensitive.
Examples:
- Published papers and public abstracts
- Approved label text already in the public domain
- General questions about grammar, style, or terminology
Rule: Any tool your organization has approved is fine. Even here, follow your company’s AI policy and disclosure rules.
Amber: Confidential, But Not Personal
Amber content is not public and would cause harm if exposed, but it does not identify individuals.
Examples:
- Unpublished results in aggregate form
- Draft protocol sections and statistical analysis plans
- Draft manuscripts, posters, and slide decks before release
- Sponsor-confidential strategy, pricing, or pipeline information
Rule: Use only approved tools with clear written terms: no storage beyond processing, no training use, and an agreement your compliance team accepts.
Red: Personal or Regulated Data
Red content contains information about individuals, or is covered by a legal or contractual restriction.
Examples:
- Case narratives and safety reports with patient details
- Participant-level data, including dates, locations, and record numbers
- Free-text clinical notes
- Anything under a data-sharing agreement or NDA that forbids tool use
Rule: Do not use any tool unless your privacy or compliance team has approved it for this content, with the right agreement in place, such as a BAA or DPA. For the most sensitive material, consider an option that never leaves the device. Where possible, remove identifiers first.
Why Red Is Wider Than It Looks
Writers often assume data without names is safe. It is not.
In the Weill Cornell Medicine incident disclosed this month, the data included medical record numbers and clinical details but not names, and it still became a reportable event. Medical record numbers are among the 18 identifier types in HIPAA’s Safe Harbor method.
Free text is the other trap. A single exact date or a rare condition in a narrative can point to one person.
Five Questions to Sort Any Document
- Is it already public?
- Could it identify a person, directly or in combination with other details?
- Is it unpublished or commercially sensitive?
- Does a contract, consent, or agreement restrict how it can be processed?
- Would I be comfortable explaining where it went?
If the answer to question 2 or 4 is yes, treat it as red. If question 3 is yes, treat it as amber at minimum.
A Quick Reference
| Document | Likely color |
|---|---|
| Published abstract or paper | Green |
| Draft manuscript, no patient detail | Amber |
| Clinical study report section with aggregate results | Amber |
| Case narrative with dates and locations | Red |
| Participant-level listing | Red |
| Regulatory response letter before submission | Amber |
Your classification may differ, and a draft can change color as detail is added.
Where Trinka’s Confidential Data Plan Fits
Trinka’s Confidential Data Plan is built for the amber tier. Content is processed in memory with zero data retention, is never used to train a model, and is encrypted in transit and at rest, and the plan covers grammar, consistency checks, proofreading, citation checks, plagiarism checks, and AI detection under one set of terms.
For healthcare organizations, Trinka states that a Business Associate Agreement is available on request. For material that must stay on a device, an offline Windows grammar checker is available.
Red content still needs your compliance team’s approval, and de-identification where possible. A private tool lowers risk but does not replace those steps.
Conclusion
A simple color test helps writers make the right call quickly. Sort by sensitivity, match the color to an approved tool, and take the red items to your compliance team before they go anywhere near an AI tool.
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Frequently Asked Questions
What is the traffic-light approach to AI use?▼
It sorts content into green, amber, and red, so writers can quickly match the sensitivity of a document to an approved tool.
Is data without patient names safe to use in an AI tool?▼
Not necessarily. Record numbers, exact dates, and rare details can still identify a person, so treat such data as red unless compliance says otherwise.
Can amber content go into any AI tool?▼
No. Use only an approved tool with clear, written terms on storage and training, and an agreement your compliance team accepts.
Who decides the final classification?▼
Your compliance, privacy, and legal teams set the rules. This guide is only a starting point for those conversations, and your own examples may sort differently.
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