Keeping sites in compliance with their required documents is an ongoing battle for every sponsor and contract research organization (CRO). Considering the volume of documentation involved in a clinical trial, it’s no wonder why sites struggle to stay on top of it, or why sponsors and CROs get frustrated when auditors issue findings against them because their sites are out of compliance.
This guide analyzes how artificial intelligence – including machine learning – can be used by pharmaceutical and medical device companies to improve the clinical data review and cleansing process.
This frustration can be lessened by:
- Providing sites with greater visibility into their document compliance status
- Automating notifications related to upcoming and past-due document deadlines
- Enabling easier document reviews, approvals, and sharing back and forth
One of the most effective solutions we’ve seen for this issue is described in the blog post, How To Improve Clinical Site Compliance With Essential Documents. This approach empowers sites to manage their own document compliance status, makes it easy and convenient to do so, and reassures them that sponsors/CROs are supporting their efforts. You would be amazed how much something so simple can improve relationships with site coordinators.
To learn more about common issues with clinical sites and how to fix them, check out this guide.