Medical Communications AI

We keep accelerating Med Comms execution.

The planning models haven't evolved.

That's where strategy gets lost.

Most "alignment issues" in Med Comms are really decision gaps.

No one ever said what mattered most.

AI can't fix that. Leadership has to.

Speed isn't the competitive advantage anymore.

Coherence is.

Measuring What Matters in Medical Communications The AI-Augmented Five-Tier Measurement Framework™ for Diagnosing and Improving Content

Want to know if your Med Comms content actually worked?

Stop tracking downloads. Start tracking application.

The 5-tier measurement framework: medcommsai.substack.com/p/measuring-...

(Spoiler: Only one tier proves success.)

If everything is "important," nothing is actionable.

That's how good science gets ignored.

The 3-Hour AI Setup That Saves Med Comms Teams 10+ Hours Weekly Connect clinical evidence to medical content automatically

Flashcards for Medical Affairs training that build judgment, not just recall.

Full framework: medcommsai.substack.com/p/the-3-hour...

Where AI Belongs in Med Comms (and Where It Doesn’t) A practical decision framework for automation, augmentation, and human judgment

The real problem with AI in Med Comms isn't the tools.

It's teams automating processes before clarifying what should actually change.

Where AI belongs (and where it absolutely doesn't): medcommsai.substack.com/p/where-ai-b...

Three layers: Automate, Augment, Never Hand Over.

Most Med Comms content isn't slow because it's complex.

It's slow because teams never agreed on the point.

AI accelerates everything except that decision.

Why Your Field Reports Aren't Driving Executive Decisions (And What Does) How AI helps Med Comms teams draft strategic narratives that drive decisions

Dashboards show activity.

Narratives drive decisions.

If your field reports don't answer "so what?" and "what now?", they're just reporting.

How to fix that: medcommsai.substack.com/p/why-your-f...

7/ The real impact:

Instead of publications sitting in folders, you now have:
- Content that educates stakeholders
- Materials that support field teams
- Maximum value from every publication

Each asset serves different learning preferences and use cases.

6/ What this gives you:
- MSL reference sheet
- Training module outline
- Infographic concept

All from ONE publication.
All in under 30 minutes.

Full workflow with prompts: medcommsai.substack.com/p/new-data-t...

5/ Step 4: Draft the infographic concept

"Create an educational infographic outline: clinical rationale, MOA visualization concept, 2 most meaningful data points, educational takeaway."

Hand to design tools (Canva, Venngage) for final visual.

4/ Step 3: Build the 5-slide training outline

"Create a 5-slide training outline for internal teams:
1. Disease background
2. MOA
3. Study design
4. Key efficacy & safety
5. Clinical relevance"

Paste into your deck template.

3/ Step 2: Generate the MSL reference sheet

Prompt: "Create a 1-page reference sheet draft. Include: headline takeaway, trial design, MOA summary, top 2 clinical data points, 2 common stakeholder questions with answers."

First draft done in 90 seconds.

2/ Step 1: Drop publication into AI, but don't ask for summary yet.

Ask for:
- 3 core takeaways
- 2 teaching challenges
- 1 MOA analogy

This gives you building blocks, not summaries.

1/ Most teams: Read → Summarize → Hope someone uses it

Better approach: Extract → Modularize → Deploy across formats

Here's the exact system...

How I turn any medical publication into field-ready materials in under 30 minutes:

(Without sacrificing quality or compliance)

🧵