Risk tier: Medium
~20 min with AI per deck, ~90 min without
Enhanced review required. Compliance review needed for external-facing decks.Source materials → Key messages → Slide structure → Draft slide content → Review
Best for
- MSL training decks on new data or therapeutic area updates
- Advisory board background and discussion slides
- Congress highlights or data update presentations
- Internal medical education and training materials
- Medical affairs slide sets for field teams
- Repackaging published evidence into presentation format
Inputs
- Source materials (published papers, data summaries, approved key messages)
- Target audience and setting (e.g., “MSL training on Phase III results” or “advisory board on unmet need in NASH”)
- Slide count and format requirements
- Any existing slide templates or brand guidelines
- Regulatory context (internal use only, or external-facing requiring compliance review)
Steps
Define the audience and objective
A deck for MSL training needs depth and nuance. A deck for an advisory board needs discussion prompts. A congress highlights deck needs speed and clarity. The audience determines the structure, depth, and tone of every slide.
Select and verify source materials
Gather the evidence that will support the deck. Verify key data points before building slides around them. Correcting a data error propagated across 15 slides is far more work than verifying it once up front.
Build the slide outline
Use AI to generate a candidate slide structure from your key messages and source materials. Specify the slide count. Review the narrative flow: does the audience follow the logic from slide 1 to slide N without backtracking?
Draft slide content
Generate draft content for each slide: a clear headline, 3–5 bullet points or a concise data summary, and speaker notes where needed. AI handles the mechanical conversion of evidence into slide-ready text; you handle the editorial decisions about emphasis and framing.
Review for accuracy and balance
Check every data point against the source. Confirm that slide headlines do not overstate findings. Verify that safety and limitations are included, not just efficacy highlights. A slide deck that foregrounds efficacy without safety context will fail compliance or scientific review.
Output
A structured slide deck outline with draft content for each slide: headline, body content (bullets, data, or narrative), and speaker notes where applicable. The content is sourced, accurate, and balanced. The deck follows a logical narrative arc appropriate for the target audience and setting.Prompt pattern
Why this works
AI converts dense source materials into slide-structured content quickly, handling the mechanical work of reformatting evidence into headlines, bullets, and speaker notes. The human writer makes the decisions AI cannot: which findings matter most for this audience, whether the narrative builds logically, whether the balance between efficacy and safety is appropriate, and whether the slides will actually work in a presentation setting.Common mistakes
Topic label headlines instead of statement headlines
Topic label headlines instead of statement headlines
AI defaults to “Efficacy Results” or “Safety Profile” as slide headlines. These tell the audience what category they are looking at, not what they should take away. Replace with statements: “Drug X met the primary endpoint of PFS at 12 months” or “Most common AEs were manageable and rarely led to discontinuation.”
Too much content per slide
Too much content per slide
AI packs 8 bullets and 3 data tables onto a single slide. If a presenter cannot deliver the slide’s message in 60–90 seconds, it has too much content. Split dense slides and prioritise clarity over completeness.
Safety and limitations omitted
Safety and limitations omitted
A 15-slide deck with 10 slides on efficacy and no safety slide will not pass scientific or compliance review. Include safety and limitations proportionate to their importance in the source data.
Slides that read like compressed paragraphs
Slides that read like compressed paragraphs
AI sometimes produces slide content that is a shortened version of a paper paragraph rather than content designed for visual presentation. Slide content should be scannable, with clear data points and short phrases, not miniature essays.
Data points not verified against source
Data points not verified against source
A hazard ratio on slide 7 was correct in the source paper but AI rounded it from 0.73 to 0.7 for the slide. Rounding clinical data changes the evidence. Reproduce values exactly as published.
Tool stack
Alternatives: Claude or ChatGPT for drafting slide content from source text. Gamma for converting structured content into presentation format. Napkin for creating visual diagrams or concept illustrations for slides.
Review checklist
Human review checklist
Human review checklist
- Every data point on every slide matches the source exactly
- Slide headlines are statements, not topic labels
- The narrative arc follows a logical progression for the target audience
- Safety and tolerability are included proportionate to the source data
- Limitations are noted
- No slide contains unsourced claims or AI-generated context
- Slide count matches the brief or format requirements
- Speaker notes are accurate and add value beyond the slide content
- Content is appropriate for the regulatory context (internal vs. external use)
- The deck works as a presentation, not as a compressed document
Next steps: For external-facing decks, run Check Promotional Compliance and Verify Claims Against References. For audience-specific versions, use Adapt for Different Audiences.