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This playbook shows how medical writers can use AI across the full writing lifecycle: from finding evidence to drafting content, checking claims, and preparing materials for review. Each workflow explains:
  • what AI can help with
  • what the writer must verify
  • where mistakes commonly happen
So you can work faster while keeping the science and compliance right. AI for acceleration, not authority. Translation, not invention. The examples use PharmaTools.AI tools alongside widely used third-party tools. They reflect real workflows used by medical writers in publications, medical affairs, and regulated communications.

What’s new

Latest updates
Recent additions to the playbook
  • v2.21 — New AI Failure Modes page in Principles: ten predictable ways AI can fail in evidence-based writing, each with example, impact, and how to catch it
  • v2.20 — New Which tool when decision guide mapping common medical writing tasks to the right tool
  • v2.19Claude Cowork coverage expanded with an example workflow and prompt
See the full changelog →

The workflow lifecycle

The medical writing AI workflow lifecycle: Evidence, Insight, Draft, Adapt, Validate, Deliver

What do you need to do?

Find evidence

Search biomedical databases and build a curated evidence set.

Summarise a paper

Structured summary from a published paper or congress poster.

Congress coverage

Structured poster extractions for rapid congress turnaround.

Extract study data

Pull endpoints, outcomes, and study details into evidence tables.

Extract key messages

Evidence-supported messages from clinical data, organised by theme.

Build an outline

Structure a deliverable from key messages and source materials.

Write a manuscript

Draft a scientific manuscript from study data and references.

Regulatory document

Draft CSR sections, IBs, or Module 2 summaries from source data.

Stats to narrative

Convert statistical outputs and tables into neutral regulatory prose.

Create a slide deck

Slides for MSL training, advisory boards, or medical education.

Adapt for audiences

Specialist content rewritten for GPs, nurses, payers, or patients.

Plain language summary

Clinical findings translated into language patients can understand.

Verify claims

Systematic claim-to-reference checking before formal review.

Compliance check

Pre-screen for compliance signals before MLR submission.

Document consistency

Flag inconsistencies in values, terms, and cross-references.

Repurpose content

Approved content adapted across channels and formats.

Final review

The QC gate before any AI-assisted deliverable ships.

Principles

Every workflow in this playbook follows four rules. They are not aspirational. They define what review is required before anything leaves your desk.

Human-in-the-loop

AI drafts. A named professional verifies and signs off. No exceptions.

Source grounding

Every claim traces to a cited source document. Nothing enters a deliverable from AI training data.

Risk tiers

Four levels define what AI can contribute and what review intensity is required.

Review accountability

Sign-off protocols, audit trails, and clear ownership for every deliverable.

Risk tiers

Not all tasks carry the same consequences. Four tiers define the AI role, the review process, and what sign-off is required.
TierAI roleReview requiredExamples
LowFirst draft, structuringStandard reviewPaper summaries, outlines, internal briefs
MediumTransformation, adaptationEnhanced review + source cross-checkKey messages, audience adaptation, repurposing
HighLimited drafting supportExpert review, full verificationPromotional claims, PLS, compliance checks
CriticalSupporting role onlyFull expert review, formal sign-offFinal QC before delivery or publication

Full risk framework →

Workflow-by-workflow risk tiers and review expectations

Tools

Purpose-built tools from PharmaTools.AI for the workflow steps where general-purpose LLMs fall short.

PubCrawl

Literature search and evidence discovery.

RefCheckr

Claim-to-reference verification.

MedCheckr

Promotional compliance screening.

Patiently AI

Clinical-to-patient language translation.

LLMentor

Multi-audience content adaptation.

PLS Generator

Plain language summaries from clinical data.

PosterLens

Structured extraction from scientific posters.

New here? Start with the guided reading order →

Role-specific recommendations for medical writers, agency teams, and pharma stakeholders.
A free resource from PharmaTools.AI · v2.21