Is Data Science the Treatment for Inefficiencies in Clinical Trial Operations? | ZS

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Is Data Science the Treatment for Inefficiencies in Clinical Trial Operations?

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It’s a well-known fact that a majority of clinical trials fail to meet enrollment deadlines. These delays lead to a significant increase in the cost of bringing a drug to the market. A Clinicpace Worldwide study showed that between 2008 and 2011, the cost for a patient in a phase I trial increased 33%, phase II costs rose 75% and phase III costs rose 88%. The smallest increase occurred in phase IV, which still saw costs increase 30%. How can pharmaceutical companies address these seemingly insurmountable clinical trial inefficiencies?

In this article, ZS experts discuss how life sciences companies can improve clinical trials by taking a more holistic, data-driven approach to a trial’s design phase.

You’ll learn:

  • The challenges that pharma companies face when it comes to patient recruitment and enrollment
  • How a data-driven approach can help improve clinical trial design in six key areas
  • How leveraging real-world data with traditional and historical data sources can transform the way that life sciences trials are conducted

About the Experts





Venkat Sethuraman is the global clinical lead within ZS’s R&D excellence practice. He has nearly 20 years of experience in R&D drug development life cycle with deep expertise in biostatistics, clinical trial design strategy, clinical trial optimization, and regulatory approvals. Venkat has a Ph.D. from Temple University and an MBA from Wharton Business School.





Aaron Mitchell is a managing principal and the global lead for ZS’s R&D excellence practice. Aaron partners with clients to strengthen the value of their pipelines, optimize the execution of clinical trials, drive effective use of realworld evidence, and improve medical and scientific engagement.





Yogesh Sharma is an associate principal in ZS’s New Delhi office and is a leader in the firm’s advanced data science practice. Yogesh has more than 20 years of experience in analytics and data science across many industries, from life sciences to financial services, retail, utilities, airlines, casino and hospitality, telecom, and technology. Yogesh specializes in bringing clients new ideas on how to leverage big data, AI, machine learning and predictive analytics to make better business decisions across functions.





Sharma R D is a manager within ZS’s global R&D excellence practice. Sharma has more than 10 years of experience in life sciences, with a special focus in clinical trial design and operations, pre-clinical toxicology, and patient enrollment and engagement. Sharma holds Global MBA from SP Jain School of Global Management, an executive master’s in information management from Stanford University and a bachelor’s in electronics and communication engineering.





Jessica Rine is a consultant within ZS’s R&D excellence practice. She has nearly 15 years of experience in R&D, managing clinical research programs across multiple therapeutic areas. Jessica has a bachelor’s in business administration from Centenary University.