Systematic literature reviews and gap analyses are critical for maintaining competitive intelligence in the pharmaceutical industry, yet traditional manual methods are often slow and prone to human error.
A leading MedComms agency sought to evaluate Reliant Tabular, our core product that automates the tedious process of literature reviews and evidence synthesis, to streamline an annual publication gap analysis for a major pharmaceutical client. The pilot program demonstrated that Reliant Tabular not only significantly increased process speed but also improved the depth of research by identifying 79 relevant records missed by traditional search strategies.
About the Client
Reliant AI worked with a leading Medical Communications agency responsible for conducting high-stakes research for top-tier pharmaceutical companies. For this specific use case, the agency was tasked with supporting an annual publication gap analysis focused on a hematological malignancy.
The project scope involved a rigorous review of the latest research published since the prior review period, specifically targeting:
- Conference abstracts (including ASCO, ASH, etc.)
- Broad PubMed literature sweeps
The Challenge
The agency faced the dual challenge of speed and comprehensiveness. The traditional workflow for a literature gap analysis of this magnitude typically requires 6 to 12 weeks of manual labor.
The agency needed to answer a core question: Can we conduct literature gap analyses faster than traditional methods while maintaining operational excellence?
Specific requirements included:
- Complex Data Needs: Understanding which competitor drugs were reporting data, the types of data being reported, and specific study populations.
- Massive Volume of Information: Processing over 10,000 conference abstracts and PubMed entries.
- Depth Requirements: While part of the team focused on extracting deep insights from conference abstracts, counterparts sought to utilize PubMed as a source for rapid, broad literature searches.
The Solution
The agency deployed Reliant Tabular to transform their literature review process. The platform provided an AI-driven environment capable of ingesting, analyzing, and extracting data from complex scientific text with precision. The solution focused on three key areas:
- Intelligent Search and Screening: Features that uncover key research and quickly screen out unneeded abstracts and insights.
- AI-Assisted Data Extraction and Filtering: Fast and rigorous data extraction, optimized for filtering and quick cross-source comparison without the need for spreadsheets, multiple browser tabs, or endless copy and paste.
- Streamlined Human Review and Verification: Reviewers can quickly access source documents via Reliant to validate outputs, or leave a note for someone on their team to click into more details.
The Implementation
Conference Abstract Review: The core group utilized Tabular to review conference abstracts. They employed AI screening and filtering prompts to precisely identify relevant publications and exclude noise. The team rapidly iterated on AI prompting designs to optimize data extraction quality, focusing on fields such as drug of focus, subpopulations of the hematological malignancy, trial phase, and combination therapy details.
PubMed Search Optimization: The secondary team evaluated the platform's ability to conduct quick, natural language searches within PubMed. The goal was to determine if Reliant Tabular could perform literature sweeps faster than current manual queries.
The Results
The pilot produced quantifiable results that validated the efficacy of Reliant Tabular for complex gap analyses.
- Increased Depth of Research: The platform identified 79 additional records that were not found using traditional PubMed search strategies. This ensures a more complete landscape for the Pharma client.
- High Concordance: Initial tests showed 85% alignment between Reliant Tabular extractions and manual processes. Accuracy continued to improve as users became more familiar with the system.
- Accelerated Timelines: The total process speed was significantly increased compared to the standard 6 to 12-week manual workflow. Reliant helped the team beat their goal of 50% working hours saved, arriving at 75% time-savings. In reality, that helped the team finish 10 days ahead of their planned deadline.
The Impact
"The ability to customize column extraction allowed us to pull specific data points instantly. It transforms how we approach data density in conference abstracts."
— Principal Medical Writer, MedComms Agency
Reliant Tabular has proven to be a powerful asset for the agency, particularly in the realm of conference abstract review . The team experienced immediate value through the custom column extraction features and the smart source viewer, which allowed for quick validation of evidence.
By integrating Reliant Tabular, the agency has established a new standard for gap analyses, thus delivering deeper insights to their biopharma clients faster than ever before.
The team’s use of AI-driven workflows unlocked additional potential and fostered innovation in the most rigorous scientific research environment — allowing them to work more precisely, in a shorter period of time.
Reclaim Your Work Day With Reliant AI
Experience the measurable impact first-hand: pilot Reliant Tabular with your team to streamline gap analyses, enhance data accuracy, and accelerate your review process.
Contact us today using the form below to arrange a personalized demonstration and see how Reliant Tabular can empower your team.
