An objective, analytic approach to identifying the future value of compounds can streamline your portfolio and create greater focus in your strategies.
IQVIA's Pipeline Architect is a technology platform that pulls data from over 32,000 clinical trials and forecasts commercial asset value using data from over 4,000 products.
This data is then combined with information from across your organization - from regulatory and clinical to commercial and portfolio groups - to enable truly precise scenario planning.
Pipeline Architect delivers integrated workflows, access to clinical and commercial data, and a platform to create, benchmark, and refine plans. All without adding extra resources.
Pipeline Architect puts best practice within reach, all based on one of the world's largest integrated clinical and commercial databases.
IQVIA combines deep therapeutic and scientific knowledge with one of the world's largest sources of curated healthcare data. We integrate diverse streams of real world anonymized patient data with global commercial data. Why? Because we want to help you reach your milestones faster and differentiate your therapies right from the start.
Access new resources for advanced therapy development, from candidate identification through market authorization.
Capture the patient experience across the full trial process, from strategy to dissemination of results.
Use machine learning-driven analytics to help identify promising patient subgroups, potentially preserving your investment and ensuring valuable therapies reach patients.
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.
Improve the performance of your clinical trials with the power of the IQVIA CORE.
Assess your protocol against real world evidence using advanced analytics, and reduce the risk of costly amendments.
Identify the best performing sites for your trial in less time with new machine learning and predictive modeling methods.
Predict enrollment more accurately and increase the number of patients per site using data-driven patient recruitment solutions.