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The Evidence Base Video

VIDEO – Fit-for-purpose data, decision-ready insights: A conversation with Narasimha Kumar and Tobi Oremulé, BC Platforms

  • The Evidence Base

Healthcare organizations are working with more data than ever before, but turning that information into confident, timely decisions remains a major challenge. As evidence needs become more complex across regulatory, HTA, payer, clinical, and commercial settings, the focus is shifting from simply having more data to using the right data in the right way.

In this video, Narasimha Kumar, Global Head of Technology and Data Services, BC Platforms, and Tobi Oremulé, Head of Pre-Sales and Solutioning, BC Platforms, discuss how fit-for-purpose data can help transform evidence complexity into decision-ready insights, and how organizations can build reusable evidence foundations that create value across the healthcare product lifecycle.

Evidence delays are rarely just data problems

When protocols change or new evidence questions emerge, teams often need to revisit feasibility assumptions, patient definitions, site selection, endpoints, data sources, and analysis plans. A reusable evidence foundation helps reduce that reinvention by preserving the data assets, definitions, governance, and workflows that make future evidence questions faster to answer – and give AI-enabled workflows a more reliable, auditable foundation to build on.

READ THE WHITE PAPER HERE


Questions

  • 00:00: Introduction
  • 00:41: What does “fit-for-purpose data” mean in practice, and why is the distinction between more data and the right data so important now?
  • 03:23: Before organizations select datasets or start an analysis, how should they define the decision they need to support? What changes when evidence generation starts with the decision rather than the data that happens to be available?
  • 05:55: How do federated analytics and privacy-preserving access models help organizations generate evidence while maintaining governance, compliance, and trust?
  • 08:07: How can organizations design evidence generation for reuse from the start?
  • 12:46: Where can automation, AI, and expert data services add the most value – and what needs to be in place to ensure outputs remain governed, explainable, scientifically rigorous, and decision-ready?
  • 15:25: Can you share a practical example where starting with the evidence question, selecting the right data sources, and applying the right governance or analytics model helped address a RWE challenge?
  • 17:06: What is the first step organizations should take to move from fragmented, one-off evidence projects toward reusable evidence foundations that can support better decisions over time?

Speakers

Narasimha Kumar
Global Head of Technology and Data Services, BC Platforms

Narasimha Kumar leads Technology and Data Services at BC Platforms, defining consulting strategy and overseeing delivery across technology, data, and regulated environments. He brings more than 25 years of experience in technology consulting, AI product development, and quality and compliance in life sciences and healthcare. His background includes senior leadership roles at Datafoundry AI, PAREXEL International, and Tata Consultancy Services, where he led initiatives in AI-driven platforms, cloud transformation, and regulatory IT consulting.


Tobi Oremulé
Head of Pre-Sales and Solutioning, BC Platforms

Tobi Oremulé is Head of Pre-Sales and Solutioning at BC Platforms, where she leads efforts to deliver high-impact solutions aligned with customers’ research and evidence priorities. With more than a decade of experience across life sciences and healthcare technology, she brings expertise in healthcare IT, population health, customer experience, solution engineering, and clinical pharmacy. Prior to joining BC Platforms, Tobi held roles at Dotmatics, Allscripts, and Cerner.


Disclaimer

The opinions expressed in this feature are those of the speakers and do not necessarily reflect the views of The Evidence Base® or Becaris Publishing Ltd.