AI-First Workflows for Clinical Study Reporting

Learn how to design trustworthy AI-first workflows for clinical study reporting and regulatory submission, combining agent-assisted execution, evidence-backed review, and accountable human decisions.

Authors

Yilong Zhang

Nan Xiao

Welcome

Welcome to a practical guide to AI-first workflows for clinical study reports.

This book explores how organizations can move from isolated AI adoption toward an AI-native way of working by building AI-first workflows across clinical study reports. In these workflows, an AI agent performs a bounded, repeatable first pass; people define and monitor the process, review the evidence, and remain responsible for decisions.

The focus is not a particular model or software stack. Instead, it is on durable principles that teams can adapt to their own technology, governance, and operating environment.

The book is written for members of Biometrics departments in biopharmaceutical companies who design, perform, review, or govern clinical study reports and want to integrate AI systematically into their organization.

Events

Venue Format Date Materials
Deming Conference Workshop December 7, 2026 To be announced

The listing above is planned; confirm the date and format with the organizers before traveling.