Using Veeva Vault TMF Bot's AI To Improve Quality And Consistency

The Trial Master File (TMF) provides an efficient way to collect and manage study-specific documents during a clinical trial, serving as a comprehensive and accurate record of the trial's conduct. This includes the protocol, informed consent forms, study reports, and other essential documents. However, managing the increasing volume of documents generated during clinical trials manually is inefficient, time-consuming, and often overwhelming.

To address this challenge, Artificial Intelligence (AI) with automated classification schemas can be used to auto-classify and manage documents generated during clinical trials, enhancing efficiency and ensuring greater consistency and quality.

This blog post demonstrates how ProPharma collaborates with study sponsors to improve TMF efficiency through automation. ProPharma's R&D Technology Solutions team specializes in digital transformation, including implementing and configuring various clinical and research systems. This use-case focuses on optimizing Veeva Vault eTMF to deploy an AI-powered solution, the TMF Bot, which automates the classification of documents.