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What strategies are being employed to accelerate product development and commercialization without compromising quality?
Raj Indupuri, Chief Executive Officer, eClinical Solutions
Reducing overall cycle times while maintaining or improving quality is a critical priority right now across the life sciences. The average total cost to bring a drug to market continues to heavily increase, with a recent study from the Tufts Center for the Study of Drug Development stating the number at over $2.1 billion, a result of the increasing complexity of clinical research. Both scientific and technological advancement have exploded in recent years, but this has also in many cases created an explosion of data types and data streams and protocol complexity, as well as silos, resulting in duplicative data processes. Data, technology innovation, and strategies focused on data oversight and a single source of truth for data can unlock efficiencies and enhance quality, taking this deluge of data and using source-agnostic ingestion and standardization capabilities to seamlessly connect data acquisition, data infrastructure, and analytics. Adopting AI and risk-based approaches to remove the manual and stepwise processes that persist in clinical research are critical steps for reducing timelines while addressing data quality at scale. It starts with having an interoperable, scalable architecture that sets the foundation for AI and generative AI (GenAI).
![Raj Indupuri](https://www.eclinicalsol.com/wp-content/uploads/raj-indupuri-1-400x266.jpg)
A technologist with over 25 years of industry experience, Raj Indupuri is responsible for establishing the eClinical Solutions vision and future-looking technology strategy. He is deeply passionate about fostering innovation to revolutionize the Life Sciences industry with ground-breaking technologies that will modernize clinical trials and bring treatments to patients faster. As an industry veteran who has been part of the evolution of Life Sciences and clinical data management for over two decades, Raj has an astute business vision to realize the digital future and enable progress and potential with data and analytics at the core of the company’s innovative products and solutions. Raj is responsible for the overall direction and management of the company and is a Mechanical Engineer with an MBA from Boston University who firmly believes data is the new fuel that will drive human progress.
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