Why TFLs need their own workflow
In CTD Module 5 Clinical Study Reports, tables, figures, and listings shape the narrative. They inform what a medical writer explains, what a reviewer questions, and where a team needs to check that the document still reflects the current analysis. Treating them as ordinary pasted objects makes that work harder.
AuroraPrime RMA documents a method for converting Tables, Figures, and Listings into specialized TFL objects in Word. Items added manually or through third-party tools must be recognized before the add-in can process them; when a manually inserted item is updated, it must be recognized again.[] That is a useful operational rule. It tells the team that an updated table is not automatically ready for every downstream authoring action just because it appears in the document.
Recognize before you rely on them
| Moment | What can go wrong | Practical control |
|---|---|---|
| A table is inserted manually | It remains a standard Word object | Recognize it as a TFL object before processing it |
| A listing is updated | The document may contain an older recognized version | Recognize the updated item again |
| A section is reviewed | Narrative and tabular content may not match | Review the TFL and the surrounding interpretation together |
| The CSR approaches approval | Open changes can be hard to locate | Use a visible review and quality routine |
The lesson is not that every table requires a special ceremony. It is that the team should know when an item has become part of the controlled document workflow. That knowledge reduces the chance that writers and reviewers are each working from a different assumption.
Keep the narrative connected to the object
The challenge in a CSR is rarely just reading a table. It is translating its meaning into a clear narrative without losing the qualifications that matter. A writer needs to know what is current. A statistician or data expert needs to confirm interpretation. A reviewer needs a way to see what changed and what remains unresolved.
AuroraPrime materials describe TFL support in the CSR workflow and quality-check expectations for accuracy, completeness, and consistency, with cross-functional review before inclusion.[] That reinforces a sensible working model: use technology to make document objects manageable, then let the appropriate people apply their expertise.
Bring the right people into review
A good TFL workflow has more than one participant. The writer shapes the story. Statistical and research contributors help validate that the content reflects the analysis. Reviewers check that the document is ready for its next step. The point is not to create more meetings. It is to make the existing contributions visible and timely.
AuroraPrime RMA also documents comments, tracked changes, locks, and document-level quality checks.[] A team can use these controls to keep the discussion around a TFL in the same working flow as the rest of the CSR rather than scattering questions across separate files and messages.
A table becomes useful in a CSR when the team can explain both what it shows and how its interpretation entered the document.
A focused way to test the workflow
Choose a section with a limited number of TFLs and run one complete cycle: insert or update the items, recognize the applicable TFLs, draft the related narrative, gather review comments, and resolve them visibly. The goal is not to automate judgment. It is to learn whether the document workflow gives the right people the right moment to apply it.
That is a practical way to evaluate AI Regulatory and Medical Authoring for CSR work. The result should be a clearer document process, not a faster route around the people responsible for the content.
For another review perspective, read Put the Reviewer Back in the Workflow. To discuss a CSR authoring workflow, contact AlphaLife Sciences.
Frequently asked questions
What is a TFL in a CSR?
A TFL is a table, figure, or listing used to present clinical-study information. In a CSR, it supports the document narrative and needs appropriate review before inclusion.
Why recognize a manually inserted TFL?
AuroraPrime RMA documentation states that manually inserted items must be transformed into specialized TFL objects before the add-in can process them. An updated manual item must be recognized again.
Who should review TFL-related content?
The appropriate contributors depend on the document and organization, but typically include the writer, people responsible for validating the represented data, and the reviewers responsible for the CSR’s document state.
