NARRATIVA · REGULATORY

PSUR Automation with AI Agents

Bring periodic and cumulative safety evidence together for a structured PSUR/PBRER—with source-aware drafting, review support, and medical experts in.

PSUR workspace connecting interval and cumulative safety evidence to a medical benefit–risk review

AI AGENTS TRUSTED BY LIFE SCIENCES ORGANIZATIONS

PSUR / PBRER · COORDINATED AI AGENTS

Collect. Evaluate.
Report with confidence.

Purpose-built agents help pharmacovigilance and regulatory teams organize reporting-period evidence, build a traceable report draft, and prepare findings for expert assessment.

REPORTING PERIODPeriod startData lock pointSCOPE & CUT-OFF CONFIRMED

Define the reporting scope

Set the reporting interval and data lock point, and confirm the applicable product, market, and report requirements.

SAFETY & EXPOSURE SOURCESCase dataClinical studiesLiteratureExposure estimates

Gather safety evidence

Bring together approved sources such as case data, clinical studies, literature, and exposure information with provenance.

SAFETY TOPICSNew or changing safety informationSignal and risk evaluationFollow-up actions for review

Review safety topics

Organize new information, signal status, important risks, and actions so medical reviewers can evaluate context.

BENEFIT–RISK REVIEWMEDICAL ASSESSMENT

Assess benefit–risk

Bring relevant safety and efficacy evidence into context for a documented, medically led benefit–risk evaluation.

PSUR / PBRER DRAFTExecutive summaryWorldwide exposureSafety findings & signalsBenefit–risk evaluation

Build the structured report

Organize source-grounded content into the required report structure and applicable company templates.

QUALITY & REVIEWHUMAN SIGN-OFF

Validate and review

Support consistency, source traceability, and version review while qualified pharmacovigilance and medical experts retain approval.

MEDICAL AUTHORING COMPANION · PHARMACOVIGILANCE

Connect the reporting period to the full safety picture.

A Periodic Safety Update Report (PSUR), also known in the ICH E2C(R2) framework as a Periodic Benefit-Risk Evaluation Report (PBRER), brings together safety information for an authorized medicinal product over a defined reporting period. It considers interval findings alongside cumulative knowledge and the product’s benefit–risk profile.

Medical Authoring Companion helps teams gather and organize approved safety evidence, prepare structured report drafts, and trace content to source materials. Pharmacovigilance and medical experts remain responsible for signal interpretation, benefit–risk conclusions, and final review against applicable requirements.

PSUR review cycle from reporting period and evidence gathering through safety evaluation and benefit–risk assessment
PSUR / PBRER · FAQ

Periodic safety reporting, step by step.

Learn how source-aware AI workflows can support report preparation and expert safety review.

What is a PSUR?

A Periodic Safety Update Report is a pharmacovigilance document that presents and evaluates safety information for a medicinal product over a defined period. Under ICH E2C(R2), the Periodic Benefit-Risk Evaluation Report (PBRER) format supports periodic evaluation of the product’s benefit–risk profile using interval and cumulative information.

How can AI agents support PSUR preparation?

Agents can help organize approved source materials, structure report sections, draft source-grounded summaries, and run consistency or traceability checks. Pharmacovigilance and medical experts interpret the evidence, evaluate signals and benefit–risk, and approve report content.

What information can be brought into the report workflow?

Configured workflows may use approved case information, clinical and non-interventional study findings, literature, exposure data, reference safety information, previous reports, and other relevant product safety sources. Teams define the authoritative sources and reporting scope.

How are reporting interval and cumulative data handled?

The report workflow can keep reporting-period information distinct from cumulative product knowledge, organize each with its reporting context, and connect summaries to source evidence. The applicable data lock point, cut-off, and requirements are set by the responsible team.

Can AI make the benefit–risk conclusion?

No. AI can help assemble and summarize evidence for review, but qualified medical and pharmacovigilance experts are responsible for interpreting safety information and reaching the benefit–risk conclusion.

How is report quality and traceability supported?

Source links, structured drafting, and configured quality checks can help reviewers verify statements, identify inconsistencies, and manage versions. Final validation and submission readiness remain subject to the organization’s procedures and applicable regulatory requirements.

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