In clinical trials, high-quality data is essential. It drives the drug development decision-making process and is a requirement for regulatory approval. But while most sponsors develop data strategies for their clinical programs, it often happens late in the development process.
Prioritizing the planning of your clinical data strategy early on — rather than late in the development process or only on a trial-by-trial basis — can help define the approach to data collection, storage, and analysis; can ensure the design, build, and delivery is fit for purpose; can address data issues proactively and in real time, minimizing delays and improving data quality; and can help ensure decision-makers will approve the new therapy.
Our eBook, Discover the Value of an Optimized Clinical Data Strategy: How Small Changes to Your Data Strategy Can Make a Big Difference to Your Chances of Success in Clinical Development, discusses key elements of clinical data strategy for the duration of the development program. It outlines best practices and shares insights from industry experts, including:
Key Considerations in Planning Your Clinical Data Strategy
The Value of Planning a Program-Wide Data Strategy, Earlier
Planning Phase 1 — Mitigating Unknown Risks Before They Arise
Planning Phase 2 — Ensuring a High-Quality Evidence Package
Top Tips on Optimizing Your Data Strategy Planning
To learn more, click to download Discover the Value of an Optimized Clinical Data Strategy:
Discover the Value of an Optimized Clinical Data Strategy is featured as part of our winter Weekend Reads series, which includes complimentary publications on a variety of topics on clinical trial design and data science. Subscribe to our weekly newsletter below and never miss a post!
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