Leverage a global network of Phase I clinical pharmacology units to build diversity in patient populations and access a range of geographic regions for early clinical development (ECD) programs.
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"Advancing obesity and obesity-related trials with patients at the center of development.
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Harness the power to transform clinical development
Reimagine clinical development by intelligently connecting data, technology, and analytics to optimize your trials. The result? Faster decision making and reduced risk so you can deliver life-changing therapies faster.
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Generate and disseminate evidence that answers crucial clinical, regulatory and commercial questions, enabling you to drive smarter decisions and meet your stakeholder needs with confidence.
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Elevate commercial models with precision and speed using AI-driven analytics and technology that illuminate hidden insights in data.
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Orchestrate your success across the complete compliance lifecycle with best-in-class services and solutions for safety, regulatory, quality and medical information.
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Reduce the risk of amendments and delays
When you are investing millions in developing a new drug, finding hidden costs before they become real problems is mission-critical.
IQVIA offers a systematic approach integrating advanced analytics, therapeutic expertise and real world data that can substantially improve planning, feasibility and enrollment targets. Sources include
- Electronic medical records
- Clinical research data
- Public data sources
- Industry benchmarks
This approach allows you to develop or optimize a protocol design to deliver the right data from the start, without unexpected issues or unnecessary costs.

Whitepaper
How Clinical Trial Design Impacts Enrollment of Diverse Populations
Does motivation to enroll in a study vary by race and ethnicity?
Feb 02, 2023

Control costs and avoid potential roadblocks
Whether you’re in the process or have already developed your study protocol, IQVIA can ‘pressure-test’ it using real world data to check for precision, clarity and consistency, including
- Testing for patient and site burden to identify barriers to patient recruitment and retention
- Identifying non-core procedures so you can remove them to reduce study costs and complexity
- Understanding competitors to benchmark design and enrollment strategies and maximize study value
- Improving eligibility criteria to help recruit eligible patients and predict screen failure
Case Study:
Revising a Global Phase II Study
Situation
A mid-size pharma company was finalizing a protocol for a Phase II study in non-small lung cancer.
IQVIA Action
We performed an analytics-based review of the protocol, identifying two design decisions that increased study risk: 1) neither of the co-primary endpoints were similar to comparable trials for this indication, and 2) this protocol included more and different QoL/PRO measurements.
In addition, we identified a design inconsistency: a missing PK/Antidrug antibody schedule for the comparative arm.
Customer Result
By revising the protocol to include the missing schedule, the customer avoided risk of protocol deviations, missing data and budget overruns. Also, the primary endpoint was changed to better align with comparable NSCLC trials, potentially mitigating regulatory risks.
You may also be interested in
Achieving a Win-Win: Designing More Representative Trials with Diversity Action Plans
Operational and regulatory benefits of representative clinical trials
How Clinical Trial Design Impacts Enrollment of Diverse Populations
Does motivation to enroll in a study vary by race and ethnicity?
Related solutions
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