The concept of centralized claims libraries is a sound strategy for expediting the review process for pharma medical and promotional content. A central claims library enables reviewers to quickly, yet compliantly, publish materials, and can minimize both the administrative burden around maintaining claims libraries and claim management risk across countries, channels, and assets. 

However, the gap between theory and practice remains vast. While some organizations attempt to manage claims through basic spreadsheets or simple document repositories, even companies that have invested in sophisticated content management platforms struggle with the same fundamental challenge: as long as the creation and maintenance of these libraries relies on manual processes, the underlying problems persist.

Whether housed in spreadsheets, SharePoint folders, or enterprise content management systems, manually maintained claims libraries face identical bottlenecks: The tools themselves don't solve the core issue. It's the manual human effort required to build, update, verify, and maintain the claims that creates the insurmountable operational burden. This is why even well-funded initiatives with premium technology platforms often fail to achieve widespread adoption and sustainable maintenance. According to recent market analysis, while organizations with optimized MLR workflows see a 57% reduction in review cycle times, the majority of companies still struggle with manual, fragmented approaches to claims management.

Despite huge advancements in technology, software, and AI-driven solutions, the unfortunate truth is that many medical, legal, and regulatory (MLR) review processes still attempt to build and maintain claims libraries manually. 

As the leading AI-powered solution in this space, Revisto was created to streamline the MLR review process [also called the PRC (Promotional Review Committee), CMLR (Commercial, Medical, Legal, Regulatory), or simply promotional review]. With some materials taking a whopping 162 days to be approved, we knew we had to find a way to harness AI to help our customers work smarter, not harder and get their most important medical or promotional materials to market faster. 

A significant contributor to these extended review cycles is the fundamental challenge of claims substantiation, the process of validating that every claim is backed by approved scientific evidence. When claims libraries are incomplete, outdated, or simply don't exist, reviewers must manually research and verify each claim from scratch, turning what should be a streamlined approval process into a time-consuming investigation.

To understand just how revolutionary Revisto is, you first must understand the many reasons why traditional claims libraries are failing pharma companies. Here are the key points: 

1. Building and maintaining a claims library is massively time consuming

When starting a library for a new drug or device, building a claims library often requires manually collecting and verifying each claim, which can take weeks or months. It involves searching for supporting evidence, such as clinical trial data or literature reviews, and cross-checking for accuracy. 

2. Claims data is often spread across multiple systems

Data within pharma organizations is often woefully fragmented. Necessary information is dispersed across multiple systems, such as document management tools, clinical trial databases, and regulatory filings. This fragmentation complicates data retrieval and management, leading to duplicate work or missed updates.

3. Scientific accuracy is a moving target

Every claim must be backed by the latest scientific data, such as peer-reviewed studies or clinical guidelines. With the rapid pace of scientific discovery, ensuring accuracy is crucial but challenging, especially for new drugs or indications. As new research and data become available, the claims library needs regular updates to reflect the latest information. This could mean adding new claims, modifying existing ones, or removing outdated claims, which is resource-intensive.

4. Versioning issues introduce risk

Keeping track of different versions of claims and ensuring that the most current version is used can be complex, especially in large organizations. This is critical to avoid using outdated or non-compliant claims in marketing materials. Errors in version control might lead to inconsistencies, such as using an old claim in a global campaign, risking regulatory action.

5. User training and adoption is an ongoing challenge

Ensuring that all team members understand how to use the claims library and stay informed about updates requires ongoing training and communication efforts. Change management in any organization can take a long time, impacting accuracy and efficiency. Challenges in this area compound as teams grow and change, and team members come and go. 

6. Portfolio growth increases the workload

As the number of drugs or devices grows, so do the number of claims. The library must scale accordingly without compromising efficiency or accuracy. Managing a large library can be cumbersome, especially for global companies with diverse portfolios.

A better way forward with Revisto’s AI-Powered Claims Intelligence

Revisto's approach transforms the traditional claims library concept from a manual burden into an intelligent, automated system that actually works in practice. Our comprehensive case study with a Top 5 pharmaceutical company demonstrates measurable results that address each of the core challenges above.

Automated claims discovery & maintenance

Rather than spending weeks or months manually building claims libraries, Revisto's AI agents automatically identify and extract claims from your existing approved materials and/or scientific literature. In our validation study:

• 100% identification rate: Found all claims that human reviewers had previously identified

• 21% additional claims discovered: Found additional variations of claims to provide more options for educational or promotional materials

• Weeks to hours: Claims identification that previously took weeks now happens in hours, including human validation

Revisto creates dynamic connections between claims and their supporting evidence. Our AI Agents continuously monitor:

• Scientific publications and updated study results

• Updated regulatory requirements and guidelines

• Internal Data on File

Seamless integration with existing workflows

Unlike spreadsheets, SharePoint folders, or other standalone claims libraries, Revisto integrates directly with systems like Veeva Vault PromoMats, automatically:

• Uploading and updating claims content

• Linking materials to approved claims

• Monitoring manually added or updated claims

The result is what manual claims libraries promise but rarely deliver: faster time-to-market, reduced compliance risk, and teams that can focus on strategic work rather than administrative maintenance.

The future of claims management is here

Claims libraries represent a fundamentally sound approach to pharma content management. The challenge has never been the concept; it's the execution. While manual claims libraries remain difficult to build, impossible to maintain, and challenging to adopt, AI-powered solutions like Revisto make the promise of claims libraries finally achievable.

The choice is clear: continue struggling with manual claims management, or embrace an AI-powered approach that transforms claims libraries from a compliance burden into a competitive advantage.

Ready to see how AI-powered claims intelligence can transform your MLR process? Request a demo to discover how Revisto automatically builds and maintains your claims library while reducing review cycles from months to days.