⏳Case Study: Accelerating Drug Development With Literature Review Support

A mid-size biotech company facing a regulatory-critical literature review deadline used outsourced dual-reviewer screening and pre-built search templates to compress an estimated 14-week internal timeline to 6 weeks, keeping their IND-enabling program on schedule without adding permanent headcount.

Regulatory timelines don't move to accommodate internal capacity constraints. This case study illustrates a common scenario: a strong scientific team, a hard deadline, and a literature review workload that simply didn't fit the available reviewer hours.

The Situation

A mid-size biotech company preparing an IND submission needed a comprehensive literature review supporting the safety profile of their lead compound's mechanism of class. Their internal regulatory affairs team estimated the review — covering an initial search of roughly 3,200 records — would take approximately 14 weeks with their existing two-person reviewer team, who were also responsible for several other ongoing regulatory documents.

The submission deadline left only 7 weeks for the literature review, creating a direct conflict between timeline and available capacity.

The Challenge

Beyond the raw timeline gap, the team faced two additional complications: the mechanism of action touched an emerging drug class with literature scattered across both mainstream pharmacology journals and more specialized biochemistry publications, and their existing documentation practices weren't fully PRISMA-aligned, creating risk of a regulatory documentation gap even if they somehow met the deadline.

The Approach

The biotech's regulatory affairs lead brought in an outsourced literature review team to run in parallel with — not as a replacement for — their internal reviewers. The engagement was structured in three phases:

  1. Week 1: Joint scoping call to align on PICO framing, finalize the search strategy across PubMed, Embase, and Scopus, and agree on inclusion/exclusion criteria.
  2. Weeks 2–4: Parallel dual-reviewer screening, with AI-assisted triage handling the initial relevance sort on the full 3,200-record corpus, followed by human verification of every inclusion and exclusion decision.
  3. Weeks 5–6: Full-text review of the roughly 180 records that passed abstract screening, data extraction into a structured summary table, and assembly of the complete PRISMA-compliant documentation package.

The Result

The review was completed in 6 weeks — inside the 7-week deadline — with full PRISMA-style documentation ready for direct inclusion in the IND submission package. The company's internal reviewers were able to remain focused on their other regulatory deliverables throughout, rather than being pulled entirely off other priorities to compress the timeline internally.

The regulatory submission was filed on schedule, and the documentation package passed internal QC review without requiring rework — a direct result of building documentation continuously through the screening process rather than reconstructing it afterward.

Key Takeaways

  • Parallel capacity beats sequential capacity when a deadline is fixed and internal reviewers are already committed elsewhere.
  • AI-assisted triage with human verification meaningfully reduced screening time on a large corpus without compromising review quality.
  • Documentation built in real time, rather than assembled retroactively, is what actually protects a regulatory deadline from last-minute rework.

Frequently Asked Questions

Did the outsourced team replace the internal regulatory affairs staff? No — the engagement was designed to run in parallel with the internal team, adding capacity rather than replacing existing expertise or oversight.

How was quality control maintained given the compressed timeline? Every AI-flagged screening decision was human-verified, and dual-reviewer reconciliation was applied throughout, ensuring speed didn't come at the expense of methodological rigor.

Would this approach work for a smaller literature volume? Yes — the same parallel-capacity model applies at smaller scales, though the relative time savings are typically most dramatic on larger record volumes.

What made the documentation "regulatory ready"? A complete PRISMA flow diagram, documented search strings and dates, and a full exclusion-reason log generated throughout the process rather than reconstructed afterward.


Facing a similar deadline crunch? Book a free scoping consultation with SkyWeb Service to see whether parallel-capacity support could get your literature review back on schedule.

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