H1ST-AI-MWR-005
The 200th safety narrative shouldn't read differently
When every case reads consistently, reviewers ask fewer questions and you spend less time defending wording you didn't mean to change. This agent generates and polishes individual patient safety narratives, drawing on statistical outputs so events, timelines, and outcomes stay consistent across every case. The repetitive, high-volume drafting that dominates safety reporting lifts off medical writers and pharmacovigilance teams, with every version tracked.
The grind you know
You write safety narratives by the hundred, under deadline, and the phrasing, structure, and terminology inevitably drift from the first case to the last, which is exactly what a reviewer will flag. Keeping version control straight across that many narratives is fragile work, and the small wording drifts that trigger rework are the easiest ones to miss.
Part of the Medical Writing family
ICH E3 CSRs & patient narratives.
When every case reads consistently, reviewers ask fewer questions and you spend less time defending wording you didn't mean to change. This agent generates and polishes individual patient safety narratives, drawing on statistical outputs so events, timelines, and outcomes stay consistent across every case. The repetitive, high-volume drafting that dominates safety reporting lifts off medical writers and pharmacovigilance teams, with every version tracked.
Supply the case-level safety data and any statistical outputs the narratives should reflect.
The agent generates each narrative, then harmonizes wording and structure for consistency across the set.
Writers and safety reviewers refine the drafts under version control, remaining accountable for the final text.
Capabilities
Generates individual patient safety narratives from case data with a consistent event, timeline, and outcome structure.
Harmonizes terminology, tense, and phrasing across the full narrative set to reduce reviewer findings.
Pulls event details and outcomes from statistical outputs so narratives match the underlying data.
Tracks every revision of each narrative so changes across review cycles are auditable.
In practice
Where the agent shows up in the day-to-day of a live trial — the moments the grind usually lives in.
You're drafting safety narratives by the hundred under deadline, and wording drifts case to case. The agent harmonizes terminology, tense, and structure across the whole set, so a reviewer isn't flagging inconsistencies between case 3 and case 203.
An onset date in a narrative must match the underlying case. Because the agent pulls event details, timelines, and outcomes from the statistical outputs, the text stays aligned with the safety data rather than diverging by hand.
A medical reviewer revises phrasing on a batch of SUSARs. Version control tracks every revision of each narrative, so the changes are auditable and easy to reconcile before the set feeds the CSR.
Proof
Figures shown are pre-launch targets based on internal benchmarks, not guaranteed outcomes.
Gemini / Anthropic LLM
LLM
Veeva Vault
EDC
Who it's for
Assembles ICH E3-structured Clinical Study Reports that pull results directly from your TLFs and datasets, with full track-changes review support.
Learn moreDrafts study and results narratives and executive summaries grounded in your actual TLFs and datasets, ready for statistician review.
Learn morePeace of mind
Every output is generated inside a validated, audit-ready platform, kept under human-in-the-loop control, and mapped to the regulatory and CDISC standards this agent supports.
Walk through it on your own workflow with a clinical-trials expert — no pressure, no obligation, and honest answers, including on the limits.
